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Cluster de Computação de Alto Desempenho (HPCC)

Visão Geral do Serviço

O objectivo do HPCC consiste em proporcionar recursos de computação de alto desempenho que um computador individual não pode fornecer. Isto permite aos utilizadores executar os trabalhos computacionais em computadores interligados ao mesmo tempo (Computação Paralela), no sentido de obter melhores níveis de desempenho de processamento.

A nossa terceira geração do HPCC (Coral) é composta por 130 servidores e fornece mais de 4.200 unidades de computação (CPU) e 37 unidades de processamento gráfico (GPU). Também proporciona 8 nódulos enormes de memória computacional que podem conter um total de 24TB de memória. O Coral pode dar apoio a várias áreas de investigação, incluindo biomédica, análise de medicina chinesa, medicina de precisão, imagiologia médica, ciência de materiais, design de engenharia, análise de simulações, etc.

Coral é um grupo de servidores financiado pelo Gabinete para as Tecnologias de Informação e Comunicação, Faculdade de Ciências da Saúde, Faculdade de Ciências e Tecnologia, Instituto de Física Aplicada e Engenharia de Materiais, Instituto de Ciências Médicas Chinesas.

Milestones

Em 2022, adquiriu 2 placas gráficas GPU de alto desempenho (NVIDIA® A100) para melhorar o poder computacional dos Nódulo de Computação de GPU.

Em 2021, o Gabinete para as Tecnologias de Informação e Comunicação adquiriu 1 placa gráfica GPU de alto desempenho (NVIDIA® A100) para melhorar o desempenho do Nódulo de Entrada.

Em 2020, a Faculdade de Ciências da Saúde e o Instituto de Física Aplicada e Engenharia de Materiais adicionaram 36 servidores ao Coral, aumentando assim o desempenho geral de computação para mais de 25 vezes comparado com a geração anterior.

Em 2019, Lançamento da terceira geração do HPCC, Coral, a performance geral de computação foi aumentada em 12,5 vezes, quando comparada com a geração anterior, ocupando uma posição de liderança do HPCC nos institutos de ensino superior de Macau.

Vamos começar

Realização do Pedido

  • Os funcionários académicos podem pedir uma conta.

  • Os alunos podem candidatar-se com a aprovação do seu orientador e a descrição do projeto de investigação.

  • Envie as informações acima para @ com o assunto “Apply HPCC”, e CC: e-mail do supervisor.

Software
A lista de software pode ser encontrada aqui.

Acesso

Para acessar o HPCC, você precisará utilizar o portal web do HPCC ou um cliente SSH para fazer login. Clique aqui para obter informações mais detalhadas.

Se você estiver tentando acessar o HPCC fora do campus, por favor, conecte-se primeiro à SSL VPN.

Por favor, mencione o reconhecimento do apoio do Cluster de Computação de Alto Desempenho (HPCC) no seu relatório de investigação, revista científica ou publicações. (Veja abaixo).

RStudio Connect

Como fazer

Visite a Base de Conhecimentos do ICTO para mais informações.

Suporte

O ICTO fornecerá o suporte técnico, incluindo briefing para novos usuários, instalação de software e hardware

Equipamento

A produção actual do HPCC – “Coral” – está a utilizar o sistema de distribuição de cluster de Linux de código aberto, Rocks 7 (CentOS 7). Todos os nódulos estão interconectados pela interface InfiniBand 4x QDR, prestando uma largura de banda de transmissão de fibra óptica de alta velocidade de 40Gb/s.

Nódulo Quantidade Núcleos Computacionais RAM (GB) HDD (TB) GPU
Nódulo Principal 1 24 187 — —
Nódulo de Entrada 3 88 625 — 1 x NVIDIA® A100
2 x NVIDIA® Tesla® K40m
Nódulo de Armazenamento de Dados 20 536 5.452 1.655 —
Nódulo de Computação de CPU 98 3.352 48.456 — —
Nódulo de Computação de GPU 8 296 2.070 — 2 x NVIDIA® A100
12 x NVIDIA® Tesla® V100
16 x NVIDIA® GeForce GTX 1080
4 x NVIDIA® Tesla® K80

Contribuir para o ambiente HPCC

A ICTO incentiva os membros do corpo docente a contribuir para o ambiente HPCC adquirindo servidores, que oferecem os seguintes benefícios:

  1. Gestão Profissional: Ao adquirir equipamentos de computação, é essencial considerar fatores como espaço e um bom ambiente de servidor. Além disso, é necessário lidar com tarefas de manutenção, como aplicação de patches no sistema e substituição de hardware em caso de falhas. Ao contribuir com seu hardware para o nosso HPCC existente, a ICTO pode oferecer suporte com administração do sistema, instalação de software, ajuste de desempenho e manutenção em geral.
  2. Escalabilidade Aumentada: Se você adquirir um cluster autônomo de 4 nós, seus programas estarão limitados a serem executados apenas nesses 4 nós. No entanto, ao participar do HPCC, mesmo com uma contribuição de apenas 4 nós, você pode aproveitar o tamanho maior do cluster para executar trabalhos significativamente maiores.
  3. Disponibilidade de Software: O software instalado no HPCC está acessível a todos os novos servidores de computação que se juntam ao cluster. Isso elimina a necessidade de adquirir licenças adicionais ou realizar instalações separadas, tornando mais fácil para os usuários acessarem e utilizarem os recursos de software do HPCC.
  4. Eficiência de Custos: Adquirir servidores individualmente pode ser custoso, especialmente considerando as despesas adicionais de manutenção e licenças de software. Ao participar do HPCC, você pode se beneficiar dos recursos compartilhados, reduzindo os custos gerais.

Se você está considerando contribuir com recursos para aprimorar a capacidade e o desempenho do HPCC, incentivamos você a entrar em contato conosco para obter especificações técnicas adicionais sobre servidores e/ou armazenamento antes de prosseguir com a compra.

É importante observar que todas as configurações do sistema e as filas de execução serão determinadas pela ICTO para garantir a utilização ótima do HPCC. Portanto, não é recomendado ter recursos de computação separados para um pequeno grupo de usuários.

Reconhecimento em Publicações de Investigação

Por favor, mencione o reconhecimento do apoio do Cluster de Computação de Alto Desempenho (HPCC) no seu relatório de investigação, revista científica ou publicações. Esta informação é muito importante para que possamos adquirir financiamento para novos recursos. O(s) autor(es) do artigo poderão elaborar a escrita da menção. Abaixo incluímos uma menção recomendada para publicações:

Acknowledgement

This work was performed in part at the High Performance Computing Cluster (HPCC) which is supported by Information and Communication Technology Office (ICTO) of the University of Macau.

Projetos de pesquisa publicados

  1. Benjamin Tam, Zixin Qin, Bojin Zhao, Siddharth Sinha, Chon Lok Lei, San Ming Wang. Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method. (2024)
  2. Chon Lok Lei, Michael Clerx, David J. Gavaghan, Gary R. Mirams. Model-driven optimal experimental design for calibrating cardiac electrophysiology models. (2023)
  3. Hui Jia FarmHui Jia Farm, Michael ClerxMichael Clerx, Fergus CooperFergus Cooper, Liudmila PolonchukLiudmila Polonchuk, Ken WangKen Wang, David J. Gavaghan, Chon Lok Lei. Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment. (2023)
  4. Benjamin Tam, Zixin Qin, Bojin Zhao, San Ming Wang, Chon Lok Lei. Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification. (2023)
  5. Ivan Jacob Agaloos Pesigan, Shu Fai Cheung. (2023). Monte Carlo confidence intervals for the indirect effect with missing data. Behavior Research Methods.
  6. Cheng-Zong Yuan, Shuo Wang, Kwan San Hui*, Kaixi Wang, Junfeng Li, Haixing Gao, Chenyang Zha, Xiaomeng Zhang, Duc Anh Dinh, Xi-Lin Wu, Zikang Tang, Jiawei Wan, Zongping Shao*, Kwun Nam Hui*, “In Situ Immobilizing Atomically Dispersed Ru on Oxygen-Defective Co3O4 for Efficient Oxygen Evolution”, ACS Catalysis. 13, 2462-247 (2023).
  7. Shuo Wang, Lei Li, Kwan San Hui*, Duc Anh Dinh, Zhiyi Lu, Qiuju Zhang*, Kwun Nam Hui*, “Non− noble single− atom alloy for electrocatalytic nitrate reduction using hierarchical high− throughput screening”, Nano Energy, 113, 108543 (2023).
  8. Yunshan Zheng, Junfeng Li, Shunping Ji, Kwan San Hui*, Shuo Wang, Huifang Xu, Kaixi Wang, Duc Anh Dinh, Chenyang Zha, Zongping Shao*, Kwun Nam Hui*, “Zinc‐Doping Strategy on P2‐Type Mn‐Based Layered Oxide Cathode for High‐Performance Potassium‐ion Batteries”, Small, 2302160 (2023).
  9. Kaixi Wang, Shuo Wang, Kwan San Hui*, Junfeng Li, Chenyang Zha, Duc Anh Dinh, Zongping Shao*, Bo Yan, Zikang Tang*, Kwun Nam Hui*, “Dense Platinum/Nickel Oxide Heterointerfaces with Abundant Oxygen Vacancies Enable Ampere-Level Current Density Ultrastable Hydrogen Evolution in Alkaline”, Advanced Functional Materials, 33, 2211273, (2023).
  10. Yuwei Zhao, Chang Liu, Chenyang Zha*, Jing Li, Chongguang Lyu, Kaixi Wang, Junfeng Li, Kwan San Hui, Linghai Zhang*, Kwun Nam Hui*, “Tailoring WB morphology enables d-band centers to be highly active for high-performance lithium-sulfur battery”, Chinese Chemical Letters, 108189 (2023).
  11. Haixing Gao, Shuo Wang, Weng-Chon Max Cheong*, Kaixi Wang, Huifang Xu, Aijian Huang, Junguo Ma, Jiazhan Li, Weng-Fai Andy Ip, Kwan San Hui*, Duc Anh Dinh, Xi Fan, Feng Bin, Fuming Chen, Kwun Nam Hui*, “Topological defect and sp3/sp2 carbon interface derived from ZIF-8 with linker vacancies for oxygen reduction reaction”, Carbon, 203, 76-87 (2023).
  12. Xiangyue Cui,Hejin Yan, Xuefei Yan, Kun Zhou, Yongqing Cai*, Promoted electronic coupling of acoustic phonon modes in doped semimetallic MoTe2. ACS Nano17, 16530–16538 (2023)
  13. Xiangyue Cui, Yongqing Cai*, Computational study of strong phonon softening and electron–phonon interaction in doped monolayer tellurene: Implications for neuromorphic applications. ACS Appl. Nano Mater. 6, 17457–17463 (2023)
  14. Hongfei Chen, Hejin Yan, and Yongqing Cai*, Recipe for the design of mixed cation lead halide perovskites: adsorption and charge transfer from A-site cations to PbI2. Mater. Chem. A 11, 19349 – 19359 (2023)
  15. Hongfei Chen, Qiye Guan, Hejin Yan, Xiangyue Cui, Zheng Shu, and Yongqing Cai*, Additive molecules adsorbed on monolayer PbI2: atomic mechanism of solvent engineering for perovskite solar cells. ACS Appl. Mater. Interfaces 15, 32475–32486 (2023)
  16. Zheng Shu, Hongfei Chen, Xing Liu, Huaxian Jia, Hejin Yan, Yongqing Cai*, High-throughput screening of heterogeneous transition metal dual-atom catalysts by synergistic effect for nitrate reduction to ammonia. Funct. Mater. 2301493 (2023)
  17. Zheng Shu, and Yongqing Cai*, Thickness-dependent catalytic activity of hydrogen evolution based on single atomic catalyst of Pt above MXene. Phys.: Condens. Matter 35, 204001 (2023)
  18. Tingting Yin*, Hejin Yan, Ibrahim Abdelwahab, Yulia Lekina, Xujie Lü, Wenge Yang, Handong Sun, Kai Leng, Yongqing Cai*, Ze Xiang Shen*, and Kian Ping Loh*, Pressure driven rotational isomerism in 2D hybrid perovskites. Commu. 14, 411 (2023)
  19. Zheng Shu, Bowen Wang, Xiangyue Cui, Xuefei Yan, Hejin Yan, Huaxian Jia, Yongqing Cai*, High-performance thermoelectric monolayer γ-GeSe and its group-IV monochalcogenide isostructural family. Eng. J. 454, 140242 (2023)
  20. Xiangyue Cui, Xuefei Yan, Bowen Wang, and Yongqing Cai*, Phononic transport in 1T′-MoTe2: Anisotropic structure with an isotropic lattice thermal conductivity. Surf. Sci. 608, 155238 (2023)
  21. Shuo Wang, Haixing Gao, Lei Li*, Kwan San Hui*, Duc Anh Dinh, Shuxing Wu, Sachin Kumar, Fuming Chen, Zongping Shao*, Kwun Nam Hui*, “High-throughput identification of highly active and selective single-atom catalysts for electrochemical ammonia synthesis through nitrate reduction”, Nano Energy, 100, 107517 (2022).
  22. Yao Kang, Shuo Wang, Kwan San Hui*, Shuxing Wu, Duc Anh Dinh, Xi Fan, Feng Bin, Fuming Chen, Jianxin Geng, Weng-Chon (Max) Cheong*, and Kwun Nam Hui*, “Surface reconstruction establishing Mott-Schottky heterojunction and built-in space-charging effect accelerating oxygen evolution reaction”, Nano Research, 15, 2952 (2022).
  23. Chenyang Zha*, Shuo Wang, Chang Liu, Yuwei Zhao, Bingchen He, Chongguang Lyu, Junfeng Li, Shunping Ji, Shi Chen, Kwan San Hui and Kwun Nam Hui*, “Single-Atom Tailoring of Li2S to Form Li2S2 for Building Better Lithium-sulfur Batteries”, Energy Storage Materials, 47, 79 (2022).
  24. Qiye Guan, Hejin Yan, and Yongqing Cai*, Strongly modulated exfoliation and functionalization of MXenes with rationally designed groups in polymer: A Theoretical Study. Mater. 34, 9414 (2022)
  25. Bowen Wang, Xuefei Yan, Xiangyue Cui, and Yongqing Cai*, First-principles study of the phonon lifetime and low lattice thermal conductivity of monolayer γ-GeSe: A comparative study. ACS Appl. Nano Mater. 5, 15441–15448 (2022)
  26. Hejin Yan, Qiye Guan, Hongfei Chen, Xiangyue Cui, Zheng Shu, Dan Liang, Bowen Wang and Yongqing Cai*， Low-energy intralayer phonon assisted carrier recombination in Z-scheme van der Waals heterostructures for photocatalysis. Mater. Chem. A 10, 23744 – 23750 (2022)
  27. Zheng Shu, Xiangyue Cui, Bowen Wang, Hejin Yan, and Yongqing Cai*, Fast Intercalation of Lithium in Semi-Metallic γ-GeSe Nanosheet: A New Group-IV Monochalcogenide for Lithium-Ion Battery Application. ChemSusChem, 15, e202200564 (2022)
  28. Junmin Xia, Hao Gu, Chao Liang, Yongqing Cai*, and Guichuan Xing*, Manipulation of band alignment in two-dimensional vertical WSe2/BA2PbI4 Ruddlesden–Popper perovskite heterojunctions via defect engineering. Phys. Chem. Lett. 13, 4579–4588 (2022)
  29. Hejin Yan, Bowen Wang, Xuefei Yan, Qiye Guan, Hongfei Chen, Zheng Shu, Dawei Wen, and Yongqing Cai*, Efficient passivation of surface defects by Lewis base in lead-free tin-based perovskite solar cells. Today Energy 27, 101038 (2022)
  30. Dan Liang, Shi Xu, Pengfei Lu*, and Yongqing Cai*, Highly tunable and strongly bound exciton in MoSi2N4 via strain engineering. Rev. B 105, 195302 (2022)
  31. Junmin Xia, Chao Liang, Hao Gu, Shiliang Mei, Yongqing Cai*, and Guichuan Xing*, Two-dimensional heterostructure of MoS2/BA2PbI4 2D Ruddlesden–Popper perovskite with an S Scheme alignment for solar cells: A first-principles study. ACS Appl. Electron. Mater. 4, 1939–1948 (2022)
  32. Bowen Wang, Xuefei Yan, Hejin Yan, Yongqing Cai*, Strong reduction of thermal conductivity of WSe2 with introduction of atomic defects. Nanotechnology 33, 275706 (2022)
  33. Bowen Wang, Xuefei Yan, Hejin Yan, Yongqing Cai*, Size and stoichiometric dependence of thermal conductivities of InxGa1-xN: A molecular dynamics study. Mater. Sci. 207, 111321 (2022)
  34. Zheng Shu, Hejin Yan, Hongfei Chen, Yongqing Cai*, Mutual modulation via charge transfer and unpaired electrons of catalytic sites for the superior intrinsic activity of N2 reduction: from high-throughput computation assisted with a machine learning perspective. Mater. Chem. A 10, 5470-5478 (2022)
  35. Qiye Guan, Hejin Yan, and Yongqing Cai*, Flatten the Li-ion activation in perfectly lattice-matched MXene and 1T-MoS2 heterostructures via chemical functionalization, Mater. Interfaces. 2101838 (2022)
  36. Hongfei Chen, Hejin Yan, and Yongqing Cai*, Effects of defect on work function and energy alignment of PbI2: Implications for solar cell applications. Mater. 34, 1020–1029 (2022)
  37. Yan Shao, Wei Gao, Hejin Yan, Runlai Li, Ibrahim Abdelwahab, Xiao Chi, Lukas Rogée, Lyuchao Zhuang, Wei Fu, Shu Ping Lau, Siu Fung Yu*, Yongqing Cai*, Kian Ping Loh*, and Kai Leng*, Unlocking surface octahedral tilt in two-dimensional Ruddlesden-Popper perovskites. Nature Commun. 13, 138 (2022)
  38. Sinha S., Tam B., Wang S. M. Applications of Molecular Dynamics Simulation in Protein Study, Membranes, 2022, 12, 844
  39. Sinha S, Qin Z, Tam B, Wang SM. Identification of deleterious Variants of Uncertain Significance in BRCA2 BRC4 repeat through molecular dynamics simulations, Briefings in Functional Genomics, 2022, 21, 202-215
  40. Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, and Lidia Chao. UniTE: Unified Translation Evaluation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 8117-8127. 2022.
  41. Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, and Lidia Chao. Attention Mechanism with Energy-Friendly Operations. In Findings of the Association for Computational Linguistics: ACL 2022, pp. 3969-3976. 2022.
  42. Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Liang Yao, Haibo Zhang, and Boxing Chen. Challenges of Neural Machine Translation for Short Texts. Computational Linguistics: 1-21.
  43. Mingzhou Xu, Baosong Yang, Derek F. Wong, and Lidia S. Chao. (2022). Multi-view Self-attention Networks. Knowledge-Based Systems. 241 (2022), p. 108268.
  44. Sinha S., Tam B., Wang S. M. RBD double mutations of SARS CoV-2 strains increase transmissibility through enhanced interaction between RBD and ACE2 receptor, Virus, 2021, 14, 1
  45. Tam B., Sinha S., Qin Z., Wang S. M., Comprehensive identification of deleterious TP53 missense VUS variants based on their impact on TP53 structural stability, International Journal of Molecular Sciences, 2021, 22, 11345
  46. Zhang L., Qin Z., Huang T., Tam B., Ruan Y., Guo M., Wu X., Li J., Zhao B., Chian J. S., Wang X., Wang L., Wang S. M., Prevalence and spectrum of DNA mismatch repair gene variation in the general Chinese population, Journal of Medical Genetics, 2021, doi: 10.1136/jmedgenet-2021-107886
  47. Y. Kang, S. Wang, S. Zhu, H. Gao, K.S. Hui*, C.Z. Yuan, H. Yin, F. Bin, X. Wu, W. Mai, L. Zhu, M. Hu, F. Liang*, F. Chen*, K.N. Hui*, “Iron-modulated Nickel Cobalt Phosphide Embedded in Carbon to Boost Power Density of Hybrid Sodium−air Battery,” Applied Catalysis B: Environmental, 285, pp. 119786, 15 May 2021.
  48. Y. Kang, S. Wang, K.S. Hui*, H. Li, F. Liang, X. Wu, Q.Zhang, W. Zhou, L. Chen*, F. Chen*, K.N. Hui*, “[Fe(CN)6] Vacancy Boosting Oxygen Evolution Activity of Co-based Prussian Blue Analogues for Hybrid Sodium-air Battery,” Materials Today Energy, 100572, 2021.
  49. Y. Su,  J.H. Davidson, “A non-uniform stretched mesh scheme for non-dimensional lattice Boltzmann simulations of natural convective flow and heat transfer”, International Communications in Heat and Mass Transfer 122, 105137, 2021.
  50. Y. Huang, Y. Su, A Garg, Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries with Two Charge Models, ASME Journal of Electrochemical Energy Conversion and Storage, 1-21,2021.
  51. Li L, Bao J, Wang H, Lei JH, Peng C, Zeng J, Hao W, Zhang X, Xu X, Yu C, Deng CX, Chen Q. Upregulation of amplified in breast cancer 1 contributes to pancreatic ductal adenocarcinoma progression and vulnerability to blockage of hedgehog activation. Theranostics 2021; 11(4):1672-1689. doi:10.7150/thno.47390.
  52. Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao. (2021). Difficulty-Aware Machine Translation Evaluation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  53. Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi and Zhaopeng Tu. (2021). Reducing Copying Errors in Pre-Training for Neural Machine Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
  54. Runzhe Zhang, Xuebo Liu, Derek F. Wong, Lidia S. Chao. (2021). Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), AAAI.
  55. Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu. (2021). Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2021).
  56. Yuan, G., Flores, N.M., Hausmann, S. et al. Elevated NSD3 histone methylation activity drives squamous cell lung cancer. Nature 590, 504–508 (2021). https://doi.org/10.1038/s41586-020-03170-y
  57. X. Cun and C.-M. Pun, “Split then Refine: Sequential Attention-guided ResUNets for Blind Single Image Visible Watermark Removal,” Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)
  58. Haoyun Bai, Haoqiang Ai, Bowen Li, Dong Liu, Kin Ho Lo, Kar Wei Ng, Xingqiang Shi, Yoshiyuki Kawazoe, and Hui Pan*, CNSi/MXene/CNSi: Unique Structure with Specific Electronic Properties for Nanodevices. Small (2021).
  59. Dong Liu, Pengfei Zhou, Haoyun Bai, Haoqiang Ai, Xinyu Du, Mingpeng Chen, Di Liu, Weng Fai Ip, Kin Ho Lo, Chi Tat Kwok, Shi Chen,* Shuangpeng Wang,* Guichuan Xing,* Xuesen Wang, and Hui Pan*, Development of perovskite oxide-based electrocatalysts for oxygen evolution reaction. Small (2021).
  60. Bowen Li, Jiazhong Geng, Haoqiang Ai, Youchao Kong, Haoyun Bai, Kin Ho Lo, Kar Wei Ng*, Yoshiyuki Kawazoe, and Hui Pan*, Design of 2D materials – MSi2CxN4-x (M = Cr, Mo, and W; x = 1 and 2) – with tunable electronic and magnetic properties. Nanoscale 13, 8038 – 8048 (2021). (Cover Page Article)
  61. Tianwei He, Cheng Tang, Alain R. Puente Santiago, Rafael Luque, Hui Pan*, and Aijun Du*. Tuning CO Binding Strength via Engineering Copper/Borophene Interface for Highly Efficient Conversion of CO into Ethanol. J. Mater. Chem. A (2021).
  62. Jinxian Feng, Jun Ni and Hui Pan*, Synergistic Carbon and Hydrogen Reactions in Electrochemical Reduction of CO2 to Liquid Fuels. J. Mater. Chem. A 9, 10546 – 10561 (2021).
  63. Dong Liu, Haoqiang Ai, Mingpeng Chen, Pengfei Zhou, Bowen Li, Di Liu, Xinyu Du, Kin Ho Lo, Kar-Wei Ng, Shuang-Peng Wang*, Shi Chen*, Guichuan Xing*, Jinsong Hu, and Hui Pan*, Multi-phase Heterostructure of CoNiP/CoxP for Enhanced Hydrogen Evolution Under Alkaline and Seawater Conditions by Promoting H2O Dissociation. Small 17, 2007557 (2021).
  64. Jiazhong Geng, Keyu An, Iat-Neng Chan, Haoqiang Ai, Kin Ho Lo, Kar Wei Ng*, Yoshiyuki Kawazoe and Hui Pan*, ab initio design of a new family of 2D materials: transition metal carbon nitrogen compounds (MCNs). J. Mater. Chem. C 9, 4748 – 4756 (2021). (Cover Page and Hot Article)
  65. Pengfei Zhou, Dong Liu, Zhaorui Wen, Mingpeng Chen, Qingju Liu, Ye Ke, Shengwen Li, Shi Chen, Chi Tat Kwok, Shuangpeng Wang*, Yuxin Tang*, and Hui Pan*, Quaternary-Metal Phosphide as Electrocatalyst for Efficient Hydrogen Evolution Reaction in Alkaline Solution. Int. J. Hydro. Energy (2021).
  66. Feifei Li, Haoqiang Ai, Changmin Shi, Kin Ho Lo, and Hui Pan*, Single transition metal atom catalysts on Ti2CN2 for efficient CO2 reduction reaction. Int. J. Hydro. Energy 46, 12886-12896 (2021).
  67. Mingyang Yang, Chaoqun Shang, Feifei Li, Chen Liu*, Zhenyu Wang, Shuai Gu, Di Liu, Lujie Cao, Junjun Zhang, Zhouguang Lu*, and Hui Pan*, Synergistic electronic and morphological modulation on ternary Co1−xVxP nanoneedle arrays for hydrogen evolution reaction with large current density. Science China Materials 64, 880-891(2021).
  68. Xiongwei Zhong, Shulong Ye, Jun Tang, Yuanmin Zhu, Duojie Wu, Meng Gu, Hui Pan*, and Baomin Xu*, Engineering Pt and Fe Dual-Metal Single Atoms Anchored on Nitrogen-Doped Carbon with High Activity and Durability towards Oxygen Reduction Reaction for Zinc-Air Battery. Appl. Catal. B 286, 119891 (2021).
  69. Haoqiang Ai, Di Liu, Jiazhong Geng, Shuangpeng Wang, Kin Ho Lo*, and Hui Pan*, Theoretical evidence of the spin-valley coupling and valley polarization in two-dimensional MoSi2X4 (X = N, P, and As). Phys. Chem. Chem. Phys. 23, 3144 – 3151 (2021).
  70. Yuanju Qu, Chi Tat Kwok, Yangfan Shao, Xingqiang Shi, Yoshiyuki Kawazoe, and Hui Pan*, Pentagonal transition-metal (group X) chalcogenide monolayers: intrinsic semiconductors for photocatalysis. Int. J. Hydro. Energy 46, 9371-9379 (2021).
  71. Dong Liu, Mingpeng Chen, Xinyu Du, Haoqiang Ai, Kin Ho Lo, Shuangpeng Wang*, Shi Chen*, Guichuan Xing*, Xuesen Wang, and Hui Pan*, Development of Electrocatalysts for Efficient Nitrogen Reduction Reaction under Ambient Condition. Adv. Funct. Mater. 31, 2008983 (2021).
  72. Youchao Kong, Shanshan Yan, Jinxian Feng, Shuangpeng Wang*, and Hui Pan*, Design of Phosphorus-Functionalized MXenes for Highly Efficient Hydrogen Evolution Reaction. J. Mater. Chem. A 9, 597 – 606 (2021).
  73. Chon Chio Leong, Yuanju Qu, Yoshiyuki Kawazoe, Sut Kam Ho, and Hui Pan*, MXenes: Novel Electrocatalysts for Hydrogen Production and Nitrogen Reduction. Catal. Today 370, 2–13 (2021).
  74. Junmin Xia, Chao Liang, Shiliang Mei, Hao Gu, Bingchen He, Zhipeng Zhang, Tanghao Liu, Kaiyang Wang, Sisi Wang, Shi Chen, Yongqing Cai, and Guichuan Xing, Deep surface passivation for efficient and hydrophobic perovskite solar cells. J. Mater. Chem. A 9, 2919-2927 (2021)
  75. H. Gao, Y. Su, W. Xiong, et al., Integrated computer-aided formulation design: A case study of andrographolide/cyclodextrin ternary formulation, Asian Journal of Pharmaceutical Sciences, 2021.
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  108. Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang (2020). Knowledge Modeling via Contextualized Representations for LSTM-based Personalized Exercise Recommendation. Information Sciences, 523 (2020): 266-278.
  109. Baosong Yang, Derek F. Wong, Lidia S. Chao, and Min Zhang (2020). Improving Tree-Based Neural Machine Translation with Dynamic Lexicalized Dependency Encoding. Knowledge-Based Systems, 188, 1–10.
  110. Bhaskaran SP, Huang T, Rajendran BK, et alEthnic-specific BRCA1/2 variation within Asia population: evidence from over 78 000 cancer and 40 000 non-cancer cases of Indian, Chinese, Korean and Japanese populationsJournal of Medical Genetics Published Online First: 22 September 2020. doi: 10.1136/jmedgenet-2020-107299
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  117. J. Zhou, C.-M. Pun and Y. Tong, “News Image Steganography: A Novel Architecture Facilitates the Fake News Identification,” Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020.
  118. X. Du and C.-M. Pun, “Adversarial Image Attacks Using Multi-Sample and Most-Likely Ensemble Methods,” Proceedings of the 28th ACM International Conference on Multimedia (MM), 2020. (CCF A)
  119. X. Du, C.-M. Pun and Z. Zhang, “A Unified Framework for Detecting Audio Adversarial Examples,” Proceedings of the 28th ACM International Conference on Multimedia (MM), 2020. (CCF A)
  120. J. Zhou, C.-M. Pun and Y. Tong, “Privacy-sensitive Objects Pixelation for Live Video Streaming,” Proceedings of the 28th ACM International Conference on Multimedia (MM), 2020. (CCF A)
  121. X. Cun and C.-M. Pun, “Defocus Blur Detection via Depth Distillation,” Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020. (CCF B)
  122. X. Cun, C.-M. Pun and C. Shi, “Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN,” Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)
  123. Dong Liu, Haoqiang Ai, Jielei Li, Mingliang Fang, Mingpeng Chen, Di Liu, Xinyu Du, Pengfei Zhou, Feifei Li, Kin Ho Lo, Yuxin Tang, Shi Chen*, Lei Wang*, Guichuan Xing*, and Hui Pan*, Surface Reconstruction and Phase Transition on Vanadium-Cobalt-Iron Trimetal Nitrides to Form Active Oxyhydroxide for Enhanced Electrocatalytic Water Oxidation. Adv. Energy Mater. 10, 2002464 (2020). (Cover page article)
  124. Rui Tong, Kar Wei Ng, Xina Wang, Shuangpeng Wang*, Xuesen Wang, and Hui Pan*, Two-Dimensional Materials as Novel Co-Catalysts for Efficient Solar-Driven Hydrogen Production. J. Mater. Chem. A 8, 23202 – 23230 (2020).
  125. Youchao Kong, Di Liu, Haoqiang Ai, Kin Ho Lo, Shuangpeng Wang*, and Hui Pan*, Theoretical Screening of Single Atoms Supported on Two-Dimensional Nb2CN2 for Nitrogen Fixation. ACS Appl. Nano Mater. 3, 11274−11281 (2020).
  126. Jinxian Feng and Hui Pan*, Electronic State Optimization for Electrochemical N2 Reduction Reaction in Aqueous Solution. J. Mater. Chem. A 8, 13896 – 13915 (2020).
  127. Qing Zhu, Yuanju Qu, Detao Liu, Kai Wei Ng*, and Hui Pan*, Two-Dimensional Layered Materials: High-Efficient Electrocatalysts for Hydrogen Evolution Reaction. ACS Appl. Nano Mater. 3, 6270–6296 (2020).
  128. Jiazhong Geng, Iat-Neng Chan, Haoqiang Ai, Kin Ho Lo, Yoshiyuki Kawazoe, Kar Wei Ng* and Hui Pan*, Magnetic and electronic properties of 2D TiX3 (X = F, Cl, Br and I). Phys. Chem. Chem. Phys. 22, 17632 – 17638 (2020).
  129. W. Chen, X. Chen, Y. Wu, G. Liu, and Hui Pan*, First-principles investigation of ScX2 (X= Cl, Br or I) monolayers for flexible spintronics and electronics. Phys. Chem. Chem. Phys. 22, 14781-14786 (2020).
  130. Di Liu, Haoqiang Ai, Wan Tong Lou, Feifei Li, Kin Ho Lo, Shuang-Peng Wang* and Hui Pan*, Substrate Strain Engineering: an efficient strategy to enhance the catalytic activity of SACs on waved graphene for e-NRR, Sustainable Energy & Fuels 4, 3773 – 3779 (2020).
  131. Haoqiang Ai, Youchao Kong, Di Liu, Feifei Li, Jiazhong Geng, Shuang-Peng Wang, Kin Ho Lo* and Hui Pan*, 1T‴ Transition-Metal Dichalcogenides: Strong Bulk Photovoltaic Effect for Enhanced Solar-Power Harvesting. J. Phys. Chem. C 124, 11221–11228 (2020).
  132. Xinyu Du, Haoqiang Ai, Mingpeng Chen, Dong Liu, Shi Chen, Xuesen Wang, Kin Ho Lo* and Hui Pan*, PLD-fabricated perovskite oxide nanofilm as efficient electrocatalyst with highly enhanced water oxidation performance. Appl. Catal. B 272, 119046 (2020).
  133. Dong Liu, Rui Tong, Yuanju Qu, Qing Zhu, Xiongwei Zhong, Mingliang Fang, Kin Ho Lo, Feifei Zhang, Yinchao Ye, Yuxing Tang, Shi Chen*, Guichuan Xing* and Hui Pan*, Highly Improved Electrocatalytic Activity of NiSx: Effects of Cr-doping and Phase Transition. Appl. Catal. B 267, 118721 (2020).
  134. Youchao Kong, Haoqiang Ai, Wei Wang, Xiuhua Xie, Kin Ho Lo, Shuang-Peng Wang*, and Hui Pan*, Waved 2D Transition-Metal Disulfides for Nanodevices and Catalysis: A First-Principle Study. ACS Appl. Nano Mater. 3, 2804-2812 (2020).
  135. Rui Tong, Zhi Sun, Xina Wang, Liming Yang, Jiwei Zhai, Shuangpeng Wang*, and Hui Pan*, Mo incorporated Ni nanosheet as high-efficiency co-catalyst for enhancing the photocatalytic hydrogen production of g-C3N4. Int. J. Hydro. Energy 45, 18912-18921 (2020).
  136. Kin Long Ao, Yangfan Shao, Iat Neng Chan, Xingqiang Shi, Yoshiyuki Kawazoe, Ming Yang, Kar Wei Ng* and Hui Pan*, Design of Novel pentagonal 2D transitional-metal sulphide monolayers for Hydrogen Evolution Reaction. Int. J. Hydro. Energy 45, 16201-16209 (2020).
  137. Lujie Cao, Yangfan Shao, Hui Pan* and Zhouguang Lu*, Designing Efficient Dual-Metal Single-Atom Electrocatalyst TMZnN6 (TM = Mn, Fe, Co, Ni, Cu, Zn) for Oxygen Reduction Reaction. J. Phys. Chem. C 124, 11301-11307 (2020).
  138. Rui Tong, Yuanju Qu, Qing Zhu, Xina Wang, Yunhao Lu, Shuangpeng Wang*, and Hui Pan*, Combined experimental and theoretical assessment on WXy (X=C, N, S, P) for hydrogen evolution reaction, ACS Appl. Energy Mater. 3, 1082-1088 (2020).
  139. Zheng Shu, and Yongqing Cai, Substitutional doped GeSe: tunable oxidative states with strain engineering. J. Mater. Chem. C 8, 13655-13667 (2020)
  140. Gao H, Ye Z, Dong J, et al. Predicting drug/phospholipid complexation by the lightGBM method[J]. Chemical Physics Letters, 2020, 747: 137354.
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  143. Bowen Wu, MengYuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang and Baoxun Wang. (2020). Guiding Variational Response Generator to Exploit Persona. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Seattle, US: Association for Computational Linguistics.
  144. Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, JingfangXu, Maosong Sun and Yang Liu. (2020). Modeling Voting for System Combination in Machine Translation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), 3694-3701.
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  146. Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang and Boxing Chen. (2020). Self-Paced Learning for Neural Machine Translation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Association for Computational Linguistics.
  147. Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang (2020). HeTROPY: Explainable Learning Diagnostics Via Heterogeneous Maximum-Entropy and Multi-Spatial Knowledge Representation. Knowledge-Based Systems, 207 (2020): 1-10.
  148. Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang (2020). Knowledge Modeling via Contextualized Representations for LSTM-based Personalized Exercise Recommendation. Information Sciences, 523 (2020): 266-278.
  149. Baosong Yang, Derek F. Wong, Lidia S. Chao, and Min Zhang (2020). Improving Tree-Based Neural Machine Translation with Dynamic Lexicalized Dependency Encoding. Knowledge-Based Systems, 188, 1–10.
  150. Mingyang Yang, Xuelian Fu, Zhenyu Wang, Lujie Cao, Minchan Li, Hua Cheng, Yuchao Li, Hui Pan*, and Zhouguang Lu*, Cobalt‐Vanadium Hydroxide Nanoneedles with a Free‐Standing Structure as High‐Performance Oxygen Evolution Reaction Electrocatalysts. ChemElectroChem 6, 2050-2055 (2019).
  151. Bhaskaran, S. P., K. Chandratre, H. Gupta, L. Zhang, X. Wang, J. Cui, Y. C. Kim, S. Sinha, L. Jiang, B. Lu, X. Wu, Z. Qin, T. Huang, and S. M. Wang. 2019. ‘Germline variation in BRCA1/2 is highly ethnic-specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients’, Int J Cancer.
  152. Downs, B., S. Sherman, J. Cui, Y. C. Kim, C. Snyder, M. Christensen, J. T. Luo, H. Lynch, and S. M. Wang. 2019. ‘Common genetic variants contribute to incomplete penetrance: evidence from cancer-free BRCA1 mutation carriers’, European Journal of Cancer, 107: 68-78.
  153. Kim, Sang Hu, Kali R. Iyer, Lakhansing Pardeshi, José F. Muñoz, Nicole Robbins, Christina A. Cuomo, Koon Ho Wong, and Leah E. Cowen. 2019. ‘Genetic Analysis of Candida aurisImplicates Hsp90 in Morphogenesis and Azole Tolerance and Cdr1 in Azole Resistance’, 10: e02529-18.
  154. Petrenko, N., Y. Jin, L. G. Dong, K. H. Wong, and K. Struhl. 2019. ‘Requirements for RNA polymerase II preinitiation complex formation in vivo’, Elife, 8.
  155. Changliang Wang, Liang Chen, Yang Yang, Menglei Zhang and Garry Wong. 2019. ‘Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis’, Clinical Epigenetics, 11.
  156. Cheung, S. F., Chan, D. K.-S., & Sun, R. W., (2019). Meta-analyzing dependent correlations with correction for artifacts that multiplicatively attenuate the true correlation. Behavior Research Methods, 51, 793–810. https://doi.org/10.3758/s13428-018-1111-y
  157. Rui Tong, Zhi Sun, Xina Wang, Shuangpeng Wang*, and Hui Pan*, Ultra-fine WC1-X nanocrystals: an efficient cocatalyst for the significant enhancement of photocatalytic hydrogen evolution on g-C3N4, J. Phys. Chem. C 123, 26136-26144 (2019).
  158. Lujie Cao, Zhenyu Wang, Jinglong Liu, Bingxue Wang, Zhiqiang Wang, Mingyang Yang, Hui Pan*, and Zhouguang Lu*, A novel Mn/Co dual nanoparticle decorated hierarchical carbon structure derived from biopolymer hydrogel as highly efficient electro-catalyst for oxygen reduction reaction, Chem. Commun. 55, 13900–13903 (2019).
  159. Zhiqin Ying, Xi Yang, Rui Tong, Qing Zhu, Tian Chen, Zhubing He*, and Hui Pan*, Enhancing the efficiency and stability of NiOx based silicon photoanode via interfacial engineering. ACS Appl. Energy Mater. 2, 6883−6890 (2019).
  160. Feifei Li, Li Chen, Hongmei Liu, Dongchao Wang, Changmin Shi* and Hui Pan*, Enhanced N2-fixation by Engineering the Edges of Two-dimensional Transition Metal Disulfides, J. Phys. Chem. C 123, 22221−22227 (2019).
  161. Qing Zhu, Lingmin Yao, Rui Tong, Dong Liu, Kar Wei Ng* and Hui Pan*, Cobalt/Titanium Nitride@N-doped Carbon Hybrid for Enhanced Electrocatalytic Hydrogen Evolution and Supercapacitance. New J. Chem. 43, 14518 – 14526 (2019).
  162. Shu Hearn Yu, Zhe Tang, Yangfan Shao, Haiwen Dai, Hong Yu Wang, Jiaxin Yan, Hui Pan, and Daniel H. C. Chua*, In-situ hybridizing MoS2 microflowers on VS2 microflakes in a one-pot CVD process for electrolytic hydrogen evolution reaction. ACS Appl. Energy Mater. 2, 5799-5808 (2019).
  163. Peng-Lai Gong, Fang Zhang, Liang Li, Bei Deng, Hai-Feng Du, Hui Pan*, Liang-Feng Huang*, and Xing-Qiang Shi*, Highly in-plane anisotropic two-dimensional semiconductors β-AuSe with multiple superior properties: a first-principles investigation. J. Phys. Condens. Matter 31, 395501 (2019).
  164. Mengmeng Shao, Wenzhou Chen, Shengjie Ding, Kin Ho Lo, Xiongwei Zhong, Linmin Yao, Weng Fai Ip, Baomin Xu, Xuesen Wang, and Hui Pan*, WXy/g-C3N4 (X = C, N & S) composites for highly efficient photocatalytic water splitting, ChemSusChem 12, 3355 – 3362 (2019).
  165. Yangfan Shao, Penglai Gong, Hui Pan*, and Xingqiang Shi*, H-/dT-MoS₂-on-MXene Heterostructures as Promising 2D Anode Materials for Lithium-Ion Batteries: Insights from First-Principles. Advanced Theory and Simulations 2, 1900045 (2019).
  166. Mingyang Yang, Xuelian Fu, Jianqiao Zhang, Zhenyu Wang, Bingxue Wang, Liqing He, Zhiliang Wu, Hua Cheng, Hui Pan*, and Zhouguang Lu*, Hierarchical Ultrafine Ni3V2O8 Nanoparticles Anchored on rGO as High‐Performance Anode Materials for Lithium‐Ion Batteries, Energy Technology 7, 1800784 (2019).
  167. Jia-Yi Dong, Zi-Qian Ma, Ye Yang, Shuang-Peng Wang* and Hui Pan*, Mixed Two-Dimensional Organic-Inorganic Halide Perovskites for Highly Efficient and Stable Photovoltaic Application, Molecules 24, 2144 (2019).
  168. Qing Zhu, Wenzhou Chen, Hua Cheng, Zhouguang Lu, and Hui Pan*, WS2 Nanosheets with Highly-Enhanced Electrochemical Activity by Facile Control of Sulphur Vacancies. ChemCatChem 11, 2667-2675 (2019).
  169. Yangfan Shao, Qian Wang, Liang Hu, Hui Pan*, and Xingqiang Shi*, BC2N monolayer as a promising anchoring material for lithium-sulfur batteries: a first-principles study. Carbon 149, 530-537 (2019).
  170. Wenzhou Chen, Ming Yang, Yi-Yang Sun, Yoshiyuki Kawazoe, Xingqiang Shi*, and Hui Pan*, Design of pentagonal NbX monolayers for electronics and electrocatalysis, Appl. Surf. Sci. 479, 595-600 (2019).
  171. Jun Chai, Zhaoyang Zheng, Hui Pan, Shengbai Zhang, K. V. Lakshmi* and Yi-Yang Sun*, Significance of hydrogen bonding networks in the proton-coupled electron transfer reactions of photosystem II from a quantum-mechanics perspective. Phys. Chem. Chem. Phys. 21, 8721-8728 (2019).
  172. Jingwei Xiu, Yangfan Shao, Linxun Chen, Yue Feng, Junfeng Dai, Xusheng Zhang, Yi Lin, Yudong Zhu, Zhenggang Wu, Yini Zheng, Hui Pan*, Chang Liu, Xingqiang Shi, Xin Cheng, and Zhubing He*, Defining the composition and electronic structure of large-scale and single-crystalline like Cs2AgBiBr6 films fabricated by capillary-assisted dip-coating method, Mater. Today Energy 12, 186-197 (2019).
  173. Mengmeng Shao, Yangfan Shao, Shengjie Ding, Rui Tong, Xiongwei Zhong, Lingmin Yao, Weng Fai Ip, Baomin Xu, Xing-Qiang Shi, Yi-Yang Sun, Xuesen Wang, and Hui Pan*, Carbonized MoS2: Super-Active Co-catalyst for High-Efficient Water Splitting on CdS, ACS Sustainable Chem. Eng. 7, 4220–4229 (2019).
  174. Qing Zhu, Mengmeng Shao, Shu Hearn Yu, Xina Wang, Zhe Tang, Bin Chen, Hua Cheng, Zhouguang Lu, Daniel HC Chua, and Hui Pan*, One-Pot Synthesis of Co-Doped VSe2 Nanosheets for Enhanced Hydrogen Evolution Reaction, ACS Appl. Energy Mater. 2, 644-653 (2019).
  175. Xiongwei Zhong, Yingzhi Li, Luozheng Zhang, Jun Tang, Xiangnan Li, Chang Liu, Mengmeng Shao, Zhouguang Lu*, Hui Pan*, and Baomin Xu*, High-Performance Sodium Ion Batteries based on Nitrogen-Doped Mesoporous Carbon Spheres with Ultrathin Nanosheets, ACS Appl. Mater. Interfaces 11, 2970–2977 (2019).
  176. Mingyang Yang, Lujie Cao, Zhenyu Wang, Yuanju Qu, Chaoqun Shang, Hanyu Guo, Wei Xiong, Junjun Zhang, Run Shi, Jianli Zou, Chun Cheng, Hui Pan* and Zhouguang Lu*, Vanadium Self-Intercalation C/V1.11S2 Nanosheets With Abundant Active Sites for Enhanced Electro-Catalytic Hydrogen Evolution, Electrochimica Acta 300, 208-216 (2019).
  177. Rui Tong, Zhi Sun, Xina Wang, Shuangpeng Wang*, and Hui Pan*, Network‐like Ni1-xMox nanosheets: multi‐functional electrodes for overall water splitting and supercapacitor, ChemElectroChem 6, 1338-1343 (2019). Featured as “Cover Feature” article.
  178. Rui Tong, Zhi Sun, Xiongwei Zhong, Xina Wang, Jincheng Xu, Ye Yang, Baomin Xu, Shuangpeng Wang*, and Hui Pan*, Enhancement of visible‐light photocatalytic hydrogen production by CeCO3OH in g-C3N4/CeO2 system, ChemCatChem 11, 1069-1075 (2019).
  179. Xiaonan Zhang, Huiyu Yang, Zhiguo Jiang, Yong Zhang, Shuxiang Wu, Hui Pan, Nasir Khisro, and Xinman Chen*, Photoresponse of Nonvolatile Resistive Memory Device Based on All-Inorganic Perovskite CsPbBr3 Nanocrystals, J. Phys. D: Appl. Phys. 52, 125103 (2019).
  180. Hearn Yu, Wenzhou Chen, Hongyu Wang, Hui Pan, and Daniel H. C. Chua*, Highly Stable Tungsten Disulfide Supported on a Self-Standing Nickel Phosphide Foam as a Hybrid Electrocatalyst for Efficient Electrolytic Hydrogen Evolution, Nano Energy 55, 193-202 (2019).
  181. Pratiti Bhadra and Shirley W. I. Siu* Refined Empirical Force Field to Model Protein-Self-Assembled Monolayer Interactions Based on AMBER14 and GAFF Langmuir 2019, 35 (29), 9622-9633. (IF 3.789)
  182. Qiwen Liao, Guiyi Gong, Terence C. W. Poon, Irene L. Ang, Kate M. K. Lei, Shirley W. I. Siu, Clarence Tsun Ting Wong, Gandhi Rádis‑Baptista*, Simon Ming‑Yuen Lee* Combined Transcriptomic and Proteomic Analysis Reveals a Diversity of Venom-Related and Toxin-Like Peptides Expressed in the Mat Anemone Zoanthus Natalensis (Cnidaria, Hexacorallia) Archives of Toxicology 2019, 93, 1745-1767. (IF 5.741)
  183. Su Yan, Ng T., Davidson J.H.,  Three dimensional mesoscopic scale simulations of buoyancy driven flow and heat mass transfer through randomly packed fiber boards,  International Journal of Heat and Mass Transfer, Volume 143, November 2019, 118522
  184. San Ming Wang, Bhaskaran, Shanmuga Priya, et al. “Germline variation in BRCA1/2 is highly ethnic‐specific: Evidence from over 30,000 Chinese hereditary breast and ovarian cancer patients.” International journal of cancer (2019).
  185. Guo, Maoni, Siddharth Sinha, and San Ming Wang. “Coupled Genome-Wide DNA Methylation and Transcription Analysis Identified Rich Biomarkers and Drug Targets in Triple-Negative Breast Cancer.” Cancers 11.11 (2019): 1724.
  186. Choi, G.C.G., Zhou, P., Yuen, C.T.L., Chan, B.K.C., Xu, F., Bao, S., Chu, H.Y., Thean, D., Tan, K., Wong, K.H., Zheng, Z., Wong, A.S.L. “Combinatorial mutagenesis en masse optimizes the genome editing activities of SpCas9” Nature Methods 2019. https://www.nature.com/articles/s41592-019-0473-0
  187. Petrenko, N. *, Jin, Y. *, Dong, L., Wong, K.H. *# and Struhl, K#. “Requirements for RNA polymerase II preinitiation complex formation in vivo.” eLife 2019; 8:e43654. (* Equal contribution; # Corresponding author) https://doi.org/10.7554/eLife.43654
  188. Kim, S.H., Iyer, K.R., Pardeshi, L., Munoz, J.F., Robbins, N., Cuomo, C.A., Wong, K.H., Cowen, L.E. “Genetic analysis of Candida auris implicates Hsp90 in morphogenesis and Azole tolerance and Cdr1 in Azole resistance.” MBio 2019; 10(1). pII:e02529-18. https://mbio.asm.org/content/10/1/e02529-18
  189. Vassiliadis, D., Wong, K.H., Andrianopoulos, A., Monahan, B.J. “A genome-wide analysis of carbon catabolite repression in Schizosaccharomyces pombe.” BMC Genomics 2019; 20(1):251.https://doi.org/10.1186/s12864-019-5602-8
  190. Liu, Xuebo, Derek F. Wong, Lidia S. Chao, Yang Liu. (2019). Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing.
  191. Yang, Baosong, Derek F. Wong, Lidia S. Chao, and Min Zhang (2019). Improving Tree-Based Neural Machine Translation with Dynamic Lexicalized Dependency Encoding. Knowledge-Based Systems.
  192. Xu, Mingzhou, Derek F. Wong, Baosong Yang, Yue Zhang, and Lidia S. Chao. (2019). Leveraging Local and Global Patterns for Self-Attention Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 3069–3075). Florence, Italy: Association for Computational Linguistics.
  193. Yang, Baosong, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Zhaopeng Tu. (2019). Assessing the Ability of Self-Attention Networks to Learn Word Order. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 3635–3644). Florence, Italy: Association for Computational Linguistics.
  194. Liu, Xuebo, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, and Jingbo Zhu. (2019). Shared-Private Bilingual Word Embeddings for Neural Machine Translation. In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. Association for Computational Linguistics.
  195. Zhang, M. L., Heikkinen, L., Knott, K. E., and Wong, G. (2019). De novo transcriptome assembly of a facultative parasitic nematode Pelodera (syn. Rhabditis) strongyloides. Gene 710, 30–38. doi: 10.1016/j.gene.2019.05.041
  196. Zhao Q, Gao H, Su Y, et al. Experimental characterization and molecular dynamic simulation of ketoprofen-cyclodextrin complexes[J]. Chemical Physics Letters, 2019, 736: 136802.
  197. Zhao Q, Ye Z, Su Y, et al. Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques[J]. Acta Pharmaceutica Sinica B, 2019, 9(6): 1241-1252.
  198. Huang T, Zhao Q, Su Y, et al. Investigation of molecular aggregation mechanism of glipizide/cyclodextrin complexation by combined experimental and molecular modeling approaches[J]. Asian journal of pharmaceutical sciences, 2019, 14(6): 609-620.
  199. Han R, Xiong H, Ye Z, et al. Predicting physical stability of solid dispersions by machine learning techniques[J]. Journal of Controlled Release, 2019, 311: 16-25.
  200. Han R, Huang T, Liu X, et al. Insight into the dissolution molecular mechanism of ternary solid dispersions by combined experiments and molecular simulations[J]. AAPS PharmSciTech, 2019, 20(7): 1-14.
  201. Chen, L., L. Heikkinen, C. L. Wang, Y. Yang, K. E. Knott, and G. Wong. 2018. ‘miRToolsGallery: a tag-based and rankable microRNA bioinformatics resources database portal’, Database-the Journal of Biological Databases and Curation.
  202. Chen, L., H. Y. Sun, C. L. Wang, Y. Yang, M. L. Zhang, and G. Wong. 2018. ‘miRNA arm switching identifies novel tumour biomarkers’, Ebiomedicine, 38: 37-46.
  203. Chen, Liang, Liisa Heikkinen, Changliang Wang, Yang Yang, Huiyan Sun, and Garry Wong. 2018. ‘Trends in the development of miRNA bioinformatics tools’, Brief Bioinform, 10.
  204. Li, E. Q., Z. W. Zhang, B. Jiang, L. Yan, J. W. Park, and R. H. Xu. 2018. ‘Generation of Mesenchymal Stem Cells from Human Embryonic Stem Cells in a Complete Serum-free Condition’, International Journal of Biological Sciences, 14: 1901-09.
  205. Liu, Y. F., E. J. Yang, B. Y. Zhang, Z. Q. Miao, C. J. Wu, J. F. Lyu, K. L. Tan, T. C. W. Poon, and J. S. Shim. 2018. ‘PTEN deficiency confers colorectal cancer cell resistance to dual inhibitors of FLT3 and aurora kinase A’, Cancer Letters, 436: 28-37.
  206. Sun, H., Z. Q. Miao, X. Zhang, U. I. Chan, S. M. Su, S. Guo, C. K. H. Wong, X. L. Xu, and C. X. Deng. 2018. ‘Single-cell RNA-Seq reveals cell heterogeneity and hierarchy within mouse mammary epithelia’, Journal of Biological Chemistry, 293: 8315-29.
  207. Veri, A. O., Z. Q. Miao, R. S. Shapiro, F. Tebbji, T. R. O’Meara, S. H. Kim, J. Colazo, K. Tan, V. K. Vyas, M. Whiteway, N. Robbins, K. H. Wong, and L. E. Cowen. 2018. ‘Tuning Hsf1 levels drives distinct fungal morphogenetic programs with depletion impairing Hsp90 function and overexpression expanding the target space’, Plos Genetics, 14.
  208. Wang, C. Y., V. Saar, K. L. Leung, L. Chen, and G. Wong. 2018. ‘Human amyloid beta peptide and tau co-expression impairs behavior and causes specific gene expression changes in Caenorhabditis elegans’, Neurobiology of Disease, 109: 88-101.
  209. Wang, H. X., L. A. Pardeshi, X. M. Rong, E. Q. Li, K. H. Wong, Y. Peng, and R. H. Xu. 2018. ‘Novel Variants Identified in Multiple Sclerosis Patients From Southern China’, Frontiers in Neurology, 9.
  210. Yan, L., B. Jiang, E. Q. Li, X. Y. Wang, Q. J. Ling, D. J. Zheng, J. W. Park, X. Chen, E. Cheung, X. Du, Y. C. Li, G. Cheng, E. X. He, and R. H. Xu. 2018. ‘Scalable Generation of Mesenchymal Stem Cells from Human Embryonic Stem Cells in 3D’, International Journal of Biological Sciences, 14: 1196-210.
  211. Yang, J., J. W. Park, D. J. Zheng, and R. H. Xu. 2018. ‘Universal Corneal Epithelial-Like Cells Derived from Human Embryonic Stem Cells for Cellularization of a Corneal Scaffold’, Translational Vision Science & Technology, 7.
  212. Chen, L., Heikkinen, L., Wang, C., Yang, Y., Sun, H. and Wong, G., “Trends in the development of miRNA bioinformatics tools,” Briefings in bioinformatics, 2018.
  213. Chen, X., Miao, Z.Q., Divate, M., Zhao, Z., Cheung, E. (2018) KM-express: an integrated online patient survival and gene expression analysis tool for the identification and functional characterization of prognostic markers in breast and prostate cancers.
  214. Chen, X., Yang, C., Xie, S.L.,Cheung, E. (2018). Long non-coding RNA GAS5 and ZFAS1 are prognostic markers involved in translation targeted by miR-940 in prostate cancer.
  215. Chuxia Deng, Heng Sun, Zhengqiang Miao, and Xin Zhang, Single-cell RNA-Seq reveals cell heterogeneity and hierarchy within mouse mammary epithelia. Journal of Biological Chemistry (2018).
  216. Su, Yan, Davidson J.H., A three-dimensional phonon energy transport model based on the nondimensional lattice Boltzmann method, International Journal of Heat and Mass Transfer, 127, 303–318, 2018.
  217. Su, Yan, Ng, T., Zhang Y.P., Davidson, J.H., “A Mesoscopic Model for Transient Mass Transfer of Volatile Organic Compounds from Porous Walls of Different Structures,” International Journal of Heat and Mass Transfer, 117, 36-49, 2018.
  218. Su, Yan, Sun, L., “A Comparative Study of Permeable and Semipermeable Membranes Constructed Multiple Layer Water Filters by Non-dimensional Lattice Boltzmann Simulations,” International Journal of Heat and Mass Transfer, 119, 77-90, 2018.
  219. Su, Yan, Zhang, Y.Z., Shu, L.J., “Experimental Study of Using Phase Change Material Cooling in a Solar Tracking Concentrated Photovoltaic-Thermal System,” Solar Energy, 159, 777-785, 2018.
  220. Sun, H., Miao, Z., Zhang, X., Chan, U.I., Su, S.M., Guo, S., Wong, K.H., Xu, X. and Deng. C.X., “Single-cell RNA-Seq reveals cell heterogeneity and hierarchy within mouse mammary epithelia,” Journal of Biological Chemistry, 293(22), 8315–8329, 2018.
  221. Veri, A.O., Miao, Z., Shapiro, R.S., Tebbji, F., O’Meara, T.R., Kim, S.H., Colazo, J., Tan, K., Vyas, V.K., Whiteway, M., Robbins, N., Wong, K.H. and Cowen L.E., “Tuning Hsf1 levels drives distinct fungal morphogenetic programs with depletion impairing Hsp90 function and overexpression expanding the target space,” PLoS Genetics, 14(3), e1007270, 2018.
  222. Wang, C., Saar, V., Leung, K. L., Chen, L. and Wong, G., “Human amyloid β peptide and tau co-expression impairs behavior and causes specific gene expression changes in Caenorhabditis elegans,” Neurobiology of disease,109, 88-101,2018.
  223. Wang, H., Pardeshi, L.A., Rong, X., Li, E., Wong, K.H., Peng, Y. and Xu, R.H., “Novel variants identified in multiple sclerosis patients from southern China,” Frontiers in Neurology, 2018. doi: 10.3389/fneur.2018.00582.
  224. Wang, H., Pardeshi, L.A., Rong, X., Li, E., Wong, K.H., Peng, Y. and Xu, R.-H., “Novel variants identified in multiple sclerosis patients from southern China,” Frontiers in Neurology, 9, 1-6, 2018.
  225. Zhang, B., Lyu, J., Liu, Y., Wu, C., Yang, E.J., Pardeshi, L., Tan, K., Wong, K.H., Chen, Q., Xu, X., Deng C. and Shim, J.S., “BRCA1 deficiency sensitizes breast cancer cells to bromodomain and extra-terminal domain (BET) inhibition,” Oncogene, 2018. https://doi.org/10.1038/s41388-018-0408-8.
  226. Wenzhou Chen, Xianhua Hou, Xingqiang Shi* and Hui Pan*, Two-Dimensional Janus transition metal oxides and chalcogenides: multifunctional properties for photocatalysts, electronics and energy conversion, ACS Appl. Mater. Interfaces 10, 35289–35295 (2018).
  227. Rui Tong, Zhi Sun, Fang Zhang, Xina Wang, Jingchen Xu, Xingqiang Shi, Shuangpeng Wang*, and Hui Pan*, N and V Coincorporated Ni Nanosheets for Enhanced Hydrogen Evolution Reaction, ACS Sustainable Chem. Eng. 12, 16525-16531 (2018).
  228. Yuanju Qu, Ye Ke, Yangfan Shao, Wenzhou Chen, Chi Tat Kwok, Xingqiang Shi and Hui Pan*, Effect of curvature on the hydrogen evolution reaction of graphene, J. Phys. Chem. C 122, 25331-25338 (2018).
  229. Mengmeng Shao, Yangfan Shao, Shengjie Ding, Jingwei Wang, Jinchen Xu, Yuanju Qu, Xiongwei Zhong, Xinman Chen, Weng Fai Ip, Ning Wang, Baomin Xu, Xingqiang Shi, Xuesen Wang, and Hui Pan*, Vanadium disulfide decorated graphitic carbon nitride for super-efficient solar-driven hydrogen evolution, Appl. Catal. B: Environmental 237, 295-301 (2018).
  230. P. L. Gong, Fang Zhang, Liang-Feng Huang, Hu Zhang, Liang Li, Ruichun Xiao, Bei Deng*, Hui Pan, and Xingqiang Shi*, Multifunctional two-dimensional semiconductors SnP3 universal mechanism of layer-dependent electronic phase transition, J. Phys.: Condens. Matter 30(47), 475702 (2018).
  231. Yangfan Shao, Mengmeng Shao, Yoshiyuki Kawazoe, Xingqiang Shi*, and Hui Pan*, Exploring new two-dimensional monolayers: pentagonal transitional metal borides/carbides (penta-TMB/Cs), J. Mater. Chem. A 6, 10226–10232 (2018). Featured as “Back Cover” article and selected as a Hot Article on the journal for 2018.
  232. Hedong Chen, Shaofeng Wang, Xiaojing Liu, Xianhua Hou*, Fuming Chen, Hui Pan, Haiqing Qin, Kwok-ho Lam*, Yingchun Xia, Guofu Zhou*, Double-coated Si-based composite composed with carbon layer and graphene sheets with void spaces for lithium-ion batteries, Electrochimica Acta 288, 134-143 (2018).
  233. Wenzhou Chen, Yoshiyuki Kawazoe, Xingqiang Shi* and Hui Pan*, Two-dimensional pentagonal CrX (X = S, Se or Te) monolayers: Antiferromagnetic semiconductors for spintronics and photocatalysts, Phys. Chem. Chem. Phys. 20, 18348 – 18354 (2018).
  234. Jingjing Zhou,  Yongsheng Guo,  Chengdu Liang,  Lujie Cao,  Hui Pan,  Jun Yang*  and  Jiulin Wang*, A new ether-based electrolyte for lithium sulfur batteries using a S@pPAN cathode, Chem. Commun. 43, 5478-5481 (2018).
  235. Xuexue Pan, Fengzhen Ji, Qiuyu Xia, Xinman Chen*, Hui Pan, Said Nasir Khisro, Shixiong Luo, Ming Chen, Yong Zhang, High-performance supercapacitors based on superior Co3O4 nanorods electrode for integrated energy harvesting-storage system, Electrochimica Acta 282, 905 -912 (2018).
  236. Mengmeng Shao, Yangfan Shao, Wenzhou Chen, Kin Long Ao, Rui Tong, Qing Zhu, Iat Neng Chan, Weng Fai Ip, Xingqiang Shi and Hui Pan*, Efficient nitrogen fixation to ammonia on MXenes, Phys. Chem. Chem. Phys. 20, 14504 – 14512 (2018).
  237. Wenzhou Chen, Yuanju Qu, Lingmin Yao, Xianhua Hou, Xingqiang Shi* and Hui Pan*, Magnetic, Catalytic, and Electrochemical properties of Two-Dimensional Janus Transition Metal Chalcogenides, J. Mater. Chem. A 6, 8021 – 8029 (2018).
  238. Xiongwei Zhong, Jun Tang, Jingwei Wang, Mengmeng Shao, Jianwei Chai, Shuangpeng Wang, Ming Yang, Ye Yang, Ning Wang, Shijie Wang, Baomin Xu * and Hui Pan*, 3D heterostructured pure and N-Doped Ni3S2/VS2 nanosheets for high efficient overall water splitting, Electrochimica Acta 269, 55-61 (2018).
  239. Zi-Qian Ma, Yangfan Shao, Pak Kin Wong, Xingqiang Shi, and Hui Pan*, Structural and Electronic Properties of Two-Dimensional Organic-inorganic Halide Perovskites and their Stability against Moisture. J. Phys. Chem. C 112, 5844-5853 (2018).
  240. Yangfan Shao, Rui Pang, Hui Pan*, and Xingqiang Shi*, Fullerene/layered antiferromagnetic reconstructed spinterface: subsurface layer dominates molecular orbitals’ spin-split and large induced magnetic moment. J. Chem. Phys. 148, 114704 (2018).
  241. Zishuai Zhang, Xiaoqiao Hu, Zhou Yu, Shaofeng Wang, Lingmin Yao, Hui Pan, Ching Yuan Su, Fuming Chen, and Xianhua Hou*, Aqueous rechargeable dual-ion battery based on fluoride ion and sodium ion electrochemistry, J. Mater. Chem. A 6, 8244–8250 (2018).
  242. Li, Qiang, Derek F. Wong, Lidia S. Chao, Muhua Zhu, Tong Xiao, Jingbo Zhu, and Min Zhang. (2018). Linguistic Knowledge-Aware Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing, 26(12), 2341–2354. (SCI: Q2)
  243. Chao, Lidia S., Derek F. Wong, Chi Hong Ao, and Ana Luísa Leal. (2018). UM-PCorpus: A Large Portuguese-Chinese Parallel Corpus. In Erhong Yang and Le Sun (Ed.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA).
  244. Leong, Chongman, Derek F. Wong, and Lidia S. Chao. (2018). UM-pAligner: Neural Network-Based Parallel Sentence Identification Model. In Reinhard Rapp and Pierre Zweigenbaum and Serge Sharoff (Ed.), Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA).
  245. Jiang, B., L. Yan, Z. Q. Miao, E. Q. Li, K. H. Wong, and R. H. Xu. 2017. ‘Spheroidal formation preserves human stem cells for prolonged time under ambient conditions for facile storage and transportation’, Biomaterials, 133: 275-86.
  246. Wang, C. L., L. Chen, Y. Yang, M. L. Zhang, and G. Wong. 2017. ‘Identification of bladder cancer prognostic biomarkers using an ageing gene-related competitive endogenous RNA network’, Oncotarget, 8: 111742-53.
  247. Xie, J. L. L., L. G. Qin, Z. Q. Miao, B. T. Grys, J. D. Diaz, K. Ting, J. R. Krieger, J. F. Tong, K. L. Tan, M. D. Leach, T. Ketela, M. F. Moran, D. J. Krysan, C. Boone, B. J. Andrews, A. Selmecki, K. H. Wong, N. Robbins, and L. E. Cowen. 2017. ‘The Candida albicans transcription factor Cas5 couples stress responses, drug resistance and cell cycle regulation’, Nature Communications, 8.
  248. Han Cao, Marcus C. K. Ng, Siti Azma Jusoh, Hio Kuan Tai and Shirley W. I. Siu* TMDIM: An Improved Algorithm for the Structure Prediction of Transmembrane Domains of Bitopic Dimers J Comput Aided Mol Des, 31: 855-865, 2017.
  249. Hoi Kei Chan, Pui In Mak, Shirley W. I. Siu*, Exploring the Behavior of Water Nanodroplet on a Coplanar Electrowetting-on-Dielectric: A Molecular Dynamics Approach Micro & Nano Letters, 12: 486-489, 2017.
  250. Jiang, B., Yan, L., Miao, Z., Li, E., Wong, K.H. and Xu, R.-H., “Spheroidal formation preserves human stem cells for prolonged time under ambient conditions for facile storage and transportation,” Biomaterials, 133,275-86, 2017.​
  251. Jiang, B., Yan, L., Miao, Z., Li, E.-Q., Wong, K.H. and Xu, R.-H., “Spheroidal formation preserves human stem cells for prolonged time under ambient conditions for facile storage and transportation,” Biomaterials, 133,275-86, 2017.
  252. Pratiti Bhadra and Shirley W. I. Siu*, Comparison of Biomolecular Force Fields for Alkanethiol Self-Assembled Monolayer Simulations Journal of Physical Chemistry C, 121, 47, 26340-26349, 2017.
  253. Szot, P.S., Yang, A., Wang, X., Parsania, C., Rohm, U., Wong, K.H. and Ho, J.W.K., “PBrowse: a web-based platform for real-time collaborative exploration of genomic data,” Nucleic Acids Research, 45 (9), e67, 2017.
  254. Xie, J.L., Qin, L., Miao, Z., Grys, B.T., Diaz, J.D.L.C., Ting, K., Krieger, J.R., Tong, J., Tan, K., Leach, M.D., Ketela, T., Moran, M.F., Krysan, D.J., Boone, C., Andrews, B.J.,  Selmecki, A., Wong, K.H., Robbins, N. and Cowen, L.E., “The Candida albicans Transcription Factor Cas5 Couples Stress Responses, Drug Resistance, and Cell Cycle Regulation,” Nature Communications, 8(1), 499, 2017.
  255. Yangfan Shao, Xingqiang Shi*, and Hui Pan*, Electronic, Magnetic, and Catalytic Properties of Thermodynamically Stable Two-Dimensional Transition-Metal Phosphides. Chem. Mater. 29, 8892–8900 (2017).
  256. Yangfan Shao, Fang Zhang, Xingqiang Shi*, and Hui Pan*, N-functionalized MXenes: Ultrahigh carrier mobility and multifunctional properties. Phys. Chem. Chem. Phys. 19, 28710 – 28717(2017).
  257. Xiongwei Zhong, Linfei Zhang, Jun Tang, Jianwei Chai, Jincheng Xu, Lujie Cao, Mingyang Yang, Ming Yang, Weiguang Kong, Shijie Wang, Hua Cheng, Zhouguang Lu, Chun Cheng, Baomin Xu* and Hui Pan*, Efficient coupling of a hierarchical V2O5@Ni3S2 hybrid nanoarray for pseudocapacitors and hydrogen production. J. Mater. Chem. A 5, 17954 – 17962 (2017).
  258. Mengmeng Shao, Yangfan Shao, Jianwei Chai, Yuanju Qu, Mingyang Yang, Zeli Wang, Ming Yang, Weng Fai Ip, Chi Tat Kwok, Xingqiang Shi, Zhouguang Lu, Shijie Wang, Xuesen Wang, and Hui Pan*, Synergistic Effect of 2D Ti2C and g-C3N4 for efficient photocatalytic hydrogen production. J. Mater. Chem. A, 5, 16748–16756 (2017).
  259. Yuanju Qu, Mengmeng Shao, Yangfan Shao, Mingyang Yang, Jincheng Xu, Chi Tat Kwok, Xingqiang Shi, Zhouguang Lu, and Hui Pan*, Ultra-high electrocatalytic activity of VS2 nanoflowers for efficient hydrogen evolution reaction. J. Mater. Chem. A, 5, 15080 – 15086 (2017).
  260. Wenzhou Chen, Haifeng Li*, Xingqiang Shi, and Hui Pan*, Tension-tailored electronic and magnetic switching of 2D Ti2NO2. J. Phys. Chem. C 121, 25729−25735 (2017).
  261. Lujie Cao, Mingyang Yang, Zhouguang Lu* and Hui Pan*, Exploring an effective oxygen reduction reaction catalyst via 4e- process based on waved-graphene. Science China Materials, 60(8), 739–746 (2017).
  262. Hui Pan*, Waved graphene: Unique structure for the adsorption of small molecules. Mater. Chem. Phys. 189, 111–117 (2017).
  263. Yuanju Qu, Mingyang Yang, Jianwei Chai, Zhe Tang, Chi Tat Kwok, Ming Yang, Zhenyu Wang, Daniel Chua, Shijie Wang, Zhouguang Lu and Hui Pan*, Facile Synthesis of Vanadium-Doped Ni3S2 Nanowire Arrays as Active Electrocatalyst for Hydrogen Evolution Reaction. ACS Appl. Mater. Interfaces 9, 5959–5967 (2017).
  264. Xiongwei Zhong, Jun Tang, Lujie Cao, Weiguang Kong, Zheng Sun, Hua Cheng, Zhouguang Lu, Hui Pan*, and Baomin Xu*, Cross-linking of polymer and ionic liquid as high-performance gel electrolyte for flexible solid-state supercapacitor. Electrochimica Acta 244, 112–118 (2017).
  265. Xianyuan Wu,   Zheng Fang, Hui Pan,  Yifan Zheng,   Dahao Jiang, Jun Ni* and   Xiaonian Li*, Active oxygen species on Mg–La mixed oxides: the effect of Mg and La oxide interactions. Catal. Sci. Technol. 7, 797-801 (2017).
  266. Zisheng Wang* and Hui Pan, Exploration of CPT violation via time-dependent geometric quantities embedded in neutrino oscillation through fluctuating matter. Nuclear Phys. B 915, 414-430 (2017).
  267. Lujie Cao, Mingyang Yang, Dong Wu, Fucong Lyu, Zhifang Sun, Xiongwei Zhong, Hui Pan, Hongtao Liu and Zhouguang Lu*, Biopolymer-Chitosan based supramolecular hydrogels as solid state electrolyte for electrochemical energy storage. Chem. Communication 53, 1615-1618 (2017).
  268. Yang, Baosong, Derek F. Wong, Tong Xiao, Lidia S. Chao, and Jingbo Zhu. (2017). Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) (pp. 1443–1452). Copenhagen, Denmark: Association for Computational Linguistics.
  269. Mingzhou Xu, Qiang Li, Chi Hong Ao, Ying Li, Lidia S. Chao, and Derek F. Wong. (2017). The UM-NLP2CT Neural Machine Translation System for CWMT2017 Translation Task. Proceedings of the 13th China Workshop on Machine Translation (CWMT 2017). Dalian, China: CIPS
  270. Leach, M. D., R. A. Farrer, K. L. Tan, Z. Q. Miao, L. A. Walker, C. A. Cuomo, R. T. Wheeler, A. J. P. Brown, K. H. Wong, and L. E. Cowen. 2016. ‘Hsf1 and Hsp90 orchestrate temperature-dependent global transcriptional remodelling and chromatin architecture in Candida albicans’, Nature Communications, 7.
  271. Chuxia Deng, Cristine Chisholm, Haitao Wang, and Hangheng Wong, Ammonium tetrathiomolybdate treatment targets the copper transporter ATP7A and enhances sensitivity of breast cancer to cisplatin. Oncotarget (2016).
  272. Hui Pan*, Principles on design and fabrication of nanomaterials as photocatalyst for water-splitting. Renew. Sust. Energy Rev. 57, 584–601 (2016).
  273. Hui Pan*, Tension-Enhanced Hydrogen Evolution Reaction on Vanadium Disulfide Monolayer. Nanoscale Res. Lett. 11, 113 (2016).
  274. Chon Chio Leong, Hui Pan*, and Sut Kam Ho, Two-Dimensional Transition-Metal Oxides Monolayers as Cathode Materials for Li and Na Ion Batteries. Phys. Chem. Chem. Phys. 18, 7527-7534 (2016).
  275. Chao-Yao Yang, Kuan-Chang Chiu, Shu-Jui Chang, Xin-Quan Zhang; Jaw-Yeu Liang, Chi-Sheng Chung, Hui Pan, Jenn-Ming Wu, Yuan-Chieh Tseng*, and Yi-Hsien Lee, Phase-driven Magneto-electrical Characteristics of Single-layer MoS2, Nanoscale 8, 5627-5633 (2016).
  276. Bing Xie, G. R. Zeng, Hui Pan*, and Zisheng Wang*, Pancharatnam Phase and Quantum Correlation for Two-qubit System in Correlated Dephasing Environment. Int. J. Theo. Phys. 55, 1474-1491 (2016).
  277. Guolan Fu, Hui Pan*, and Zisheng Wang*, Transition of Berry Phase and Pancharatnam Phase and Phase Change, Int. J. Theo. Phys. (2016).
  278. Su, Yan and Davidson, J.H., “A New Mesoscopic Scale Timestep Adjustable Non-Dimensional Lattice Boltzmann Method for Melting and Solidification Heat Transfer,” International Journal of Heat and Mass Transfer, 92, 1106–1119.2016.
  279. Shu, L., Zhou, R. and Su, Yan, “A self-adjusted weighted likelihood ratio test for global clustering of disease,” Journal of Statistical Computation and Simulation, 86, 996-1009, 2016.
  280. Liyuan Xue, Yanxia Yu, Hui Pan* and Zisheng Wang*, Geometric phases and quantum correlations of superconducting two-qubit system with dissipative effect. Physica C 520, 8-18 (2016).
  281. Hui Pan*, Ultra high electrochemical catalytic activity of MXenes. Scientific Reports 6, 32531 (2016).
  282. Yuanju Qu, Hui Pan*, and Chi Tat Kwok, Hydrogenation-controlled phase transition on two-dimensional transition metal dichalcogenides and their unique physical and catalytic properties. Scientific Reports 6, 34186 (2016).
  283. Zi-Qian Ma, Hui Pan*, and Pak Kin Wong, A first-principles study on the structural and electronic properties of Sn-based organic-inorganic halide perovskites. J. Electro. Mater. 45(11), 5956-5966 (2016).
  284. Chon Chio Leong, Hui Pan*, and Sut Kam Ho, Two-Dimensional Transition-Metal Oxides Monolayers as Cathode Materials for Li and Na Ion Batteries. Phys. Chem. Chem. Phys. 18, 7527-7534 (2016).
  285. Guolan Fu, Hui Pan*, and Zisheng Wang*, Transition of Berry Phase and Pancharatnam Phase and Phase Change, Int. J. Theo. Phys. 55, 3428–3439 (2016).
  286. Yuanju Qu and Hui Pan*, Perspective of Transition Metal Dichalcogenide Monolayers as Catalysts in Water Electrolysis. Journal of Applied and Theoretical Physics Research 1, 14-15 (2016). (Editorial)
  287. Wong, Derek F., Yi Lu, and Lidia S. Chao. (2016). Bilingual recursive neural network based data selection for statistical machine translation. Knowledge-Based Systems, 108, 15–24. (SCI: Q1)
  288. Hui Pan*, Electronic Properties and Lithium Storage Capacities of Two-Dimensional Transition-Metal Nitrides Monolayers. J. Mater. Chem. A 3, 21486-21493 (2015). Selected as a Hot Article on the journal for 2015.
  289. Yuanju Qu, Hui Pan*, Chi Tat Kwok, and Zisheng Wang, Effect of Doping on Hydrogen Evolution Reaction of Vanadium Disulfide Monolayer. Nanoscale Res. Lett. 10, 480 (2015).
  290. Jun Fang, Bin Chen*, and Hui Pan*, Anomalous friction of graphene nanoribbons on waved graphenes. Theor. Appl. Mech. Lett. 5, 212–215 (2015).
  291. Hui Pan* and Xuesen Wang, Realization of Dirac Cones in Few-Bilayers Sb(111) Films by Surface Modification. Nanoscale Res. Lett. 10, 334 (2015).
  292. Hui Pan*, Bandgap engineering of oxygen-rich TiO2+x for photocatalyst with enhanced visible-light photocatalytic ability. J. Mater. Sci. 50, 4324-4329 (2015).
  293. Zisheng Wang*, Xiaoya Cai, and Hui Pan*, Quantum simulation of trapped two-ion for neutrino electromagnetic properties in neutrino oscillation. Nuclear Physics B 900, 560-575 (2015).
  294. Shijie Wen, Hui Pan*, and Yuebing Zheng, Electronic Properties of Tin Dichalcogenide Monolayers and Effects of Hydrogenation and Tension. J. Mater. Chem. C 3, 3714 – 3721 (2015).
  295. Zi-Qian Ma, Hui Pan*, Zisheng Wang, and Pak Kin Wong, Effects of Non-Metal Dopants and Defects on Electronic Properties of Barium Titanate as Photocatalyst. Int. J. Hydrogen Energy 40, 4766-4776(2015).
  296. Qian Liu, Yanxia Yu, Hui Pan*, and Zi-Sheng Wang*, Motion center in quantum wave packet dynamics. Acta Physica Polonica A 127, 761-766 (2015).
  297. Zisheng Wang* and Hui Pan*, Geometric phase carried by the observables and its application to quantum computation. Quantum Information and Computation 15, 951-961 (2015).
  298. Xiaoya Cai, Hui Pan*, and Zisheng Wang*, Geometric phase of two-qubit system in dephasing environment. Int. J. Modern Phys. B 29, 1550236 (2015).
  299. Yanxia Yu, Hui Pan, Liyuan Xue, Liping Guo*, and ZishengWang, Geometric phase in inhomogeneous optical nutation. Eur. J. Phys. D 69, 246 (2015).
  300. Su, Yan, Wade A., and Davidson, J.H., “Macroscopic Correlation for Natural Convection in Water Saturated Metal Foam Relative to the Placement within an Enclosure Heated from Below,” International Journal of Heat and Mass Transfer, 85, 890–896, 2015.
  301. Zhou, R., Shu, L., Su, Yan, “An Adaptive Minimum Spanning Tree Test for Detecting Irregularly-Shaped Spatial Clusters,” Computational Statistics and Data Analysis, 89,134–146, 2015.
  302. Yuanju Qu, Hui Pan*, Chi Tat Kwok, and Zisheng Wang, A First-Principles Study on Hydrogen Evolution Reaction of VS2 Nanoribbons. Phys. Chem. Chem. Phys. 17, 24820–24825 (2015).
  303. Su, Yan and Davidson, J.H., “A Non-Dimensional Lattice Boltzmann Method for Direct and Porous Medium Model Simulations of 240-Tube Bundle Heat Exchangers in a Solar Storage Tank,” International Journal of Heat and Mass Transfer, 85, 195–205, 2015.
  304. Su, Yan, “A Comparative Analysis of the Performance of a Grid Connected Photovoltaic System Based on Low and High Frequency Solar Data,” International Journal of Green Energy, 12, 1206-1214, 2015.
  305. Hui Pan*, Electronic Properties and Lithium Storage Capacities of Two-Dimensional Transition-Metal Nitrides Monolayers. J. Mater. Chem. A 3, 21486-21493 (2015). Selected as a Hot Article on the journal for 2015.
  306. Qian Liu, Yanxia Yu, Hui  Pan*,  and Zi-Sheng Wang*, Motion center in quantum wave packet dynamics. Acta Physica Polonica A 127, 761-766 (2015).
  307. Zisheng Wang* and Hui Pan*, Geometric phase carried by the observables and its application to quantum computation. Quantum Information and Computation 15, 951-961 (2015).
  308. Hui Pan, “ab initio design of nanostructures for solar energy conversion: a case study on silicon nitride nanowire,” Nanoscale research letters 9, 531, 2014.
  309. Hui Pan, “Electronic and magnetic properties of vanadium dichalcogenides monolayers tuned by hydrogenation,” The Journal of Physical Chemistry C, 118, 13248–13253, 2014.
  310. Hui Pan, “Graphitic carbon nitride nanotubes as Li-ion battery materials: a first-principles study,” The Journal of Physical Chemistry C, 118, 9318-9323, 2014.
  311. Hui Pan, “Magnetic and Electronic Evolutions of Hydrogenated VTe2 Monolayer under Tension,”Scientific Reports 4, 7524, 2014.
  312. Hui Pan, “Metal dichalcogenides monolayers: Novel catalysts for electrochemical hydrogen production,” Scientific Reports 4, 5348, 2014.
  313. Hui Pan and Bin Chen, “Ultra-flexibility and unusual electronic, magnetic, and chemical properties of waved graphenes and nanoribbons,” Scientific Reports 4, 4198, 2014.
  314. Junguang Tao, Hui Pan, Lai Mun Wong, Ten It Wong, J W Chai, Jisheng Pan and S J Wang, “Mechanism of insulator-to-metal transition in heavily Nb doped anatase TiO2,” Materials Research Express 1, 015911, 2014.
  315. Wenpo Huang, Lianjie Shu, and Yan Su, “An accurate evaluation of adaptive exponentially weighted moving average schemes,” IIE Transactions, 46(5), 2014.
  316. Yanting Li, Yan Su, and Lianjie Shu, “An ARMAX model for forecasting the power output of a grid connected photovoltaic system,” Renewable Energy, 66, 78-89, 2014.
  317. Anna Shin Hwa Lee, Kai Li, Yong-Wei Zhang, and Hui Pan, “ab initio study on the effects of dopant–defect cluster on the electronic properties of TiO2-based photocatalysts,” International Journal of Hydrogen Energy, 39, 2049-2055, 2014.
  318. Hui Pan*, Magnetic and electronic evolutions of hydrogenated VTe2 monolayer under tension. Scientific Reports 4, 7524 (2014).
  319. Hui Pan*, Metal dichalcogenides monolayers: Novel catalysts for electrochemical hydrogen production, Scientific Reports 4, 5348 (2014).
  320. Hui Pan* and Bin Chen, Ultra-flexibility and unusual electronic, magnetic, and chemical properties of waved graphenes and nanoribbons, Scientific Reports. 4, 4198 (2014).
  321. Hui Pan*, Graphitic carbon nitride nanotubes as Li-ion battery materials: a first-principles study, J. Phys. Chem. C 118, 9318-9323 (2014).
  322. Hui Pan*, Electronic and magnetic properties of vanadium dichalcogenides monolayers tuned by hydrogenation, J. Phys. Chem. C 118, 13248–13253 (2014).
  323. Hui Pan, ab initio design of nanostructures for solar energy conversion: a case study on silicon nitride nanowire. Nanoscale Res. Lett. 9, 531 (2014).
  324. Anna Shin Hwa Lee, Kai Li, Yong-Wei Zhang, and Hui Pan*, ab initio study on the effects of dopant-defect cluster on the electronic properties of TiO2-based photocatalysts, Int. J. Hydro. Energy 39, 2049-2055 (2014).
  325. Q. Liu, R-S. Wu, H. L. Xu, Y. X. Yu, Hui Pan*, and Z-S. Wang*, Geometric phase and non-stationary state. Optik 125, 4814–4818 (2014).
  326. Kai Li, Anna Shin Hwa Lee, Yong-Wei Zhang, and Hui Pan, “Electronic and Magnetic Properties of Silicene and Silicane Nanoribbons,” International Journal of Computational Materials Science and Engineering 2, 1350011, 2013.
  327. Lianjie Shu, Wenpo Huang, Yan Su, and Kwok-Leung Tsui, “Computation of the run-length percentiles of CUSUM control charts under changes in variances,” Journal of Statistical Computation and Simulation, 83(7), 2013.
  328. Shirley W.I. Siu, Thomas K.F. Wong, and Simon Fong, “Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions,” Advanced Data Mining and Applications, 8347, 336-347, 2013.
  329. Yan Su, Jane H. Davidson, and Francis A. Kulacki, “A geometry factor for natural convection in open cell metal foam,” International Journal of Heat and Mass Transfer, 62, 697-710, 2013.
  330. Yan Su, Jane H. Davidson, and Francis A. Kulacki, “Numerical study on mixed convection from a constant wall temperature circular cylinder in zero-mean velocity oscillating cooling flows,”International Journal of Heat and Fluid Flow, 44, 95-107, 2013.
  331. Hongliang Shi, Hui Pan, Yong-Wei Zhang, and Boris I Yakobson, “Strong ferromagnetism in hydrogenated monolayer MoS2 tuned by strain,” Physical Review B 88, 205305, 2013.
  332. Yan Su, Lai-Cheong Chan, Lianjie Shu, and Kwok-Leung Tsui, “Real-time Prediction Models for Output Power and Efficiency of Grid-Connected Solar Photovoltaic Systems,” Applied Energy, 93, 319-326, 2012.
  333. Yan Su, Jane H. Davidson, and Francis A. Kulacki, “Numerical investigation of fluid flow and heat transfer of oscillating pipe flows,” International Journal of Thermal Sciences, 54, 199-208, 2012.

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