Academic Background

Research Interest

Selected Publications

In Journals:

• Hangjin Jiang, Han Li, Wing Hung Wong (joint corresponding author), Xiaodan Fan (joint corresponding author) (2022+). Revealing Free Energy Landscape from MD Data via Conditional Angle Partition Tree. IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2022.3172352. Accepted.
• Chaojie Wang, Jin Du and Xiaodan Fan (corresponding author) (2022+). High-Dimensional Correlation Matrix Estimation for General Continuous Data with Bagging Technique. Machine Learning. DOI: 10.1007/s10994-022-06138-3. Accepted.
• Jie Hu, Zirui Chen, Wenwei Lin and Xiaodan Fan (corresponding author) (2021+). Bayesian Detection of Event Spreading Pattern from Multivariate Binary Time Series. Communications in Statistics-Simulation and Computation. DOI: 10.1080/03610918.2021.1879138. Accepted.
• Hangjin Jiang, Xingqiu Zhao, Ronald C.W. Ma and Xiaodan Fan (corresponding author) (2022). Consistent Screening Procedures in High-dimensional Binary Classification. Statistica Sinica, 32(1), 109-130. DOI: 10.5705/ss.202020.0088.
• Taobo Hu, Jingjing Li, Mengping Long, Jinbo Wu, Zhen Zhang, Fei Xie, Jin Zhao, Houpu Yang, Qianqian Song, Sheng Lian, Jiandong Shi, Xueyu Guo, Daoli Yuan, Dandan Lang, Guoliang Yu, Baosheng Liang, Xiaohua Zhou, Toyotaka Ishibashi, Xiaodan Fan, Weichuan Yu, Depeng Wang, Yang Wang, I-Feng Peng, Shu Wang (2022). Detection of Structural Variations and Fusion Genes in Breast Cancer Samples using Third-generation Sequencing. Frontiers in Cell and Developmental Biology, 10: 854640. DOI: 10.3389/fcell.2022.854640.
• Hangjin Jiang and Xiaodan Fan (corresponding author) (2021). The Two-step Clustering Approach for Metastable States Learning. International Journal of Molecular Sciences, 22(12), 6576. DOI: 10.3390/ijms22126576.
• Chaojie Wang and Xiaodan Fan (corresponding author) (2021). High-dimensional Correlation Matrix Estimation for Gaussian Data: a Bayesian Perspective. Statistics and Its Interface, 14(3), 351-358. DOI: 10.4310/20-SII655.
• Shanjun Mao, Xiaodan Fan (joint corresponding author) and Jie Hu (joint corresponding author) (2021). Correlation for Tree-Shaped Datasets and Its Bayesian Estimation. Computational Statistics & Data Analysis, 164, 107307. DOI: 10.1016/j.csda.2021.107307.
• Yingyu Chen, Chin Kiu Kwok (joint first author), Hangjin Jiang (joint corresponding author) and Xiaodan Fan (joint corresponding author) (2021). Detect differentially methylated regions using non-homogeneous hidden Markov model for bisulfite sequencing data. Methods, 189, 34-43. DOI: 10.1016/j.ymeth.2020.09.009. (R package: BSDMR)
• Wanxia Gai, Ze Zhou, Sean Agbor-Enoh, Xiaodan Fan, Sheng Lian, Peiyong Jiang, Suk Hang Cheng, John Wong, Stephen L Chan, Moon Kyoo Jang, Yanqin Yang, Raymond HS Liang, Wai Kong Chan, Edmond SK Ma, Tak Y Leung, Rossa WK Chiu, Hannah Valantine, KC Allen Chan, YM Dennis Lo (2021). Applications of Genetic-epigenetic Tissue Mapping for Plasma DNA in Prenatal Testing, Transplantation and Oncology. eLife, 10, e64356. DOI: 10.7554/eLife.64356.
• Yuanyuan Chen, Xiaodan Fan, Cong Pian (2021). Identifying Functional Modules Using Energy Minimization with Graph Cuts. Current Bioinformatics, 16(10), 1236-1243. DOI: 10.2174/2215083807666210702151919.
• Zutan Li, Hangjin Jiang, Lingpeng Kong, Yuanyuan Chen, Kun Lang, Xiaodan Fan, Liangyun Zhang, Cong Pian (2021). Deep6mA: a Deep Learning Framework for Exploring Similar Patterns in DNA N6-methyladenine Sites across Different Species. PLoS Computational Biology, 17(2), e1008767. DOI: 10.1371/journal.pcbi.1008767.
• Jiali Yang, Kun Lang, Guangle Zhang, Xiaodan Fan, Yuanyuan Chen, Cong Pian (2020). SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species. Bioinformatics. 36(14), 4103-4105. DOI: 10.1093/bioinformatics/btaa507. (Web Server: SOMM4mC)
• Jie Hu, Huihui Qin and Xiaodan Fan (corresponding author) (2020). Can ODE Gene Regulatory Models Neglect Time Lag or Measurement Scaling? Bioinformatics. 36(13):4058-4064. DOI: 10.1093/bioinformatics/btaa268. (R Code: lagODE)
• Zhen Zhang, Jin Du, Qingchun Meng, Xiaoxia Rong (joint corresponding author) and Xiaodan Fan (joint corresponding author) (2020). The Spread of Information in Virtual Communities. Complexity, 2020, 6629318. DOI: 10.1155/2020/6629318.
• Hangjin Jiang, Hua-Bai Li (joint corresponding author) and Xiaodan Fan (joint corresponding author) (2020). Bayesian Revisit of the Relationship between the Total Field Strength and the Volume Density of Interstellar Clouds. The Astrophysical Journal. 890(2):153. DOI: 10.3847/1538-4357/ab672b.
• Hangjin Jiang and Xiaodan Fan (corresponding author) (2020). A Consistent Variable Screening Procedure with Family-wise Error Control. Journal of Statistical Computation and Simulation. 90(7):1267-1285. DOI: 10.1080/00949655.2020.1724291. (R Code: HHG-CIS)
• Cong Pian, Shanjun Mao, Guangle Zhang, Jin Du, Fei Li, Suet Yi Leung, Xiaodan Fan (corresponding author) (2020). Discovering Cancer-related miRNAs from miRNA-target Interactions by Support Vector Machines. Molecular Therapy: Nucleic Acids. 19:1423-1433. DOI: 10.1016/j.omtn.2020.01.019.
• Cong Pian, Guangle Zhang, Fei Li (joint corresponding author) and Xiaodan Fan (joint corresponding author) (2020). MM-6mAPred: Identifying DNA N6-methyladenine Sites Based on Markov Model. Bioinformatics, 36(2):388-392. DOI: 10.1093/bioinformatics/btz556. (Web Server: MM-6mAPred)
• Chaojie Wang, Linghao Shen, Han Li, Xiaodan Fan (corresponding author) (2020). Nonparametric Statistical Inference and Imputation for Incomplete Categorical Data. Statistics and Its Interface, 13(1):17-25. DOI: 10.4310/SII.2020.v13.n1.a2. (Software: R-package “MMDai“)
• Han Li, Minxuan Xu, Jun S. Liu and Xiaodan Fan (corresponding author) (2020). An Extended Mallows Model for Ranked Data Aggregation. Journal of the American Statistical Association, 115(530):730-746. DOI:10.1080/01621459.2019.1573733. (Software: R-package “ExtMallows“)
• Chun Li and Xiaodan Fan (corresponding author) (2019). On Nonparametric Conditional Independence Tests for Continuous Variables. WIREs Computational Statistics, 12(3):e1489. DOI: 10.1002/wics.1489.
• Cong Pian, Guangle Zhang, Libin Gao, Xiaodan Fan (joint corresponding author) and Fei Li (joint corresponding author) (2019). miR+Pathway: The Integration and Visualization of miRNA and KEGG Pathways. Briefings in Bioinformatics, 21(2):699-708. DOI:10.1093/bib/bby128. (Web Server: miR-pathway)
• Guozhi Jiang, Andrea On Yan Luk, Claudia Ha Ting Tam, Fangying Xie, Bendix Carstensen, Eric Siu Him Lau, Cadmon King Poo Lim, Heung Man Lee, Alex Chi Wai Ng, Maggie Chor Yin Ng, Risa Ozaki, Alice Pik Shan Kong, Chun Chung Chow, Xilin Yang, Hui-yao Lan, Stephen Kwok Wing Tsui, Xiaodan Fan, Cheuk Chun Szeto, Wing Yee So, Juliana C. N. Chan, Ronald C. W. Ma (2019). Progression of Diabetic Kidney Disease and Trajectory of Kidney Function Decline in Chinese Patients with Type 2 Diabetes. Kidney International, 95(1):178-187.
• Helen H.N. Yan, Hoi Cheong Siu, Simon Law, Siu Lun Ho, Sarah S.K. Yue, Wai Yin Tsui, Dessy Chan, April S. Chan, Stephanie Ma, Ka On Lam, Sina Bartfeld, Alice H.Y. Man, Bernard C.H. Lee, Annie S.Y. Chan, Jason W.H. Wong, Priscilla S.W. Cheng, Anthony K.W. Chan, Jiangwen Zhang, Jue Shi, Xiaodan Fan, Dora L.W. Kwong, Tak W. Mak, Siu Tsan Yuen, Hans Clevers, Suet Yi Leung (2018). A Comprehensive Human Gastric Cancer Organoid Biobank Captures Tumor Subtype Heterogeneity and Enables Therapeutic Screening. Cell Stem Cell, 23(6):882-897.e11.
• Wei Wang, Tong Liang, Fu Kit Sheong, Xiaodan Fan (joint corresponding author) and Xuhui Huang (joint corresponding author) (2018). An Efficient Bayesian Kinetic Lumping Algorithm to Identify Metastable Conformational States via Gibbs Sampling. The Journal of Chemical Physics, 149(7):072337.
• Linghao Shen, Jun Zhu, Shuo-Yen Robert Li and Xiaodan Fan (Corresponding Author) (2017). Detect Differentially Methylated Regions Using Non-homogeneous Hidden Markov Model for Methylation Array Data. Bioinformatics, 33(23):3701-3708. (Software: R-package “DMRMark“)
• Zengbing Lu, Man P. Ngan, Ge Lin, David T.W. Yew, Xiaodan Fan, Paul L.R. Andrews and John A. Rudd (2017). Gastric Myoelectric Activity during Cisplatin-Induced Acute and Delayed Emesis Reveals A Temporal Impairment of Slow Waves in Ferrets: Effects Not Reversed by The Glp-1 Receptor Antagonist, Exendin (9-39). Oncotarget, 8(58):98691-98707.
• Qing Zhang, Xiaodan Fan (joint first author), Yejun Wang, Ming-an Sun, Jianlin Shao and Dianjing Guo (2017). BPP: A Sequence-based Algorithm for Branch Point Prediction. Bioinformatics, 33(20):3166-3172.
• Qin Cao, Christine Anyansi, Xihao Hu, Liangliang Xu, Lei Xiong, Wenshu Tang, Myth T S Mok, Chao Cheng, Xiaodan Fan, Mark Gerstein, Alfred S L Cheng and Kevin Y Yip (2017). Reconstruction of Enhancer–Target Networks in 935 Samples of Human Primary Cells, Tissues and Cell Lines. Nature Genetics, 49(10):1428-1436.
• Guozhi Jiang, Claudia H.T. Tam, Andrea O.Y. Luk, Cadmon K. Lim, Xiaodan Fan, Nelson L. S. Tang, Stephen K.W. Tsui, Weichuan Yu, Brian Tomlinson, Yu Huang, Hui Yao Lan, Cheuk-Chun Szeto, Wing Yee So, Juliana C.N. Chan and Ronald C.W. Ma (2017). Estimation of Heritability for Diabetic Complications Based on Genome-wide Association Study in Chinese Population. Diabetologia, 60(1 supp):S174-S174.
• Hua-bai Li, Hangjin Jiang, Xiaodan Fan, Qilao Gu and Yapeng Zhang (2017). The Link between Magnetic-field Orientations and Star Formation Rates. Nature Astronomy, 1:0158.
• Alexandra M Davis, Xiaodan Fan, Linghao Shen, Paul Robinson, Christopher M Riggs (2017). Improved Radiological Diagnosis of Palmar Osteochondral Disease in The Thoroughbred Racehorse. Equine Veterinary Journal, 49(4):454-460.
• Timothy C.T. Ng, Chun Li (joint first author) and Xiaodan Fan (Corresponding Author) (2017). A Fast Algorithm for Reconstructing Multiple Sequence Alignment and Phylogeny Simultaneously. Current Bioinformatics, 12(4):329-348. (C++ Code: FAMAP for Windows/Linux)
• Guozhi Jiang, Cheng Hu, Claudia H.T. Tam, Eric S.H. Lau, Ying Wang, Andrea O.Y. Luk, Xilin Yang, Alice P.S. Kong, Janice S.K. Ho, Vincent K.L. Lam, Heung Man Lee, Jie Wang, Rong Zhang, Stephen K.W. Tsui, Maggie C.Y. Ng, Cheuk-Chun Szeto, Weiping Jia, Xiaodan Fan, Wing Yee So, Juliana C.N. Chan and Ronald C.W. Ma (2016). Genetic and Clinical Variables Identify Predictors for Chronic Kidney Disease in Type 2 Diabetes. Kidney International, 89(2):411-420.
• Han Li and Xiaodan Fan (Corresponding Author) (2016). A Pivotal Allocation-Based Algorithm for Solving the Label-Switching Problem in Bayesian Mixture Models. Journal of Computational and Graphical Statistics, 25(1):266-283. (R Code: PAR)
• Han Li, Chun Li, Jie Hu, Xiaodan Fan (Corresponding Author) (2015). A Resampling Based Clustering Algorithm for Replicated Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(6):1295-1303. (R Code: RC)
• Jie Hu, Zhongying Zhao, Hari Krishna Yalamanchili, Junwen Wang, Kenny Ye and Xiaodan Fan (Corresponding Author) (2015). Bayesian Detection of Embryonic Gene Expression Onset in C. elegans. Annals of Applied Statistics, 9(2):950-968.
• Shengtong Han, Raymond K.W. Wong, Thomas C.M. Lee, Shuo-Yen Robert Li and Xiaodan Fan (Corresponding Author) (2014). A Full Bayesian Approach for Boolean Genetic Network Inference. PLoS ONE, 9(12):e115806.
• Claudia H.T. Tam, Janice S.K. Ho, Ying Wang, Vincent K.L. Lam, Heung Man Lee, Guozhi Jiang, Eric S.H. Lau, Alice P.S. Kong, Xiaodan Fan, Jean L.F. Woo, Stephen K.W. Tsui, Maggie C.Y. Ng, Wing Yee So, Juliana C.N. Chan, Ronald C. W. Ma (2013). Use of Net Reclassification Improvement (NRI) Method Confirms The Utility of Combined Genetic Risk Score to Predict Type 2 Diabetes. PLoS ONE, 8(12):e83093.
• Baojun Chen, Enhao Zheng, Xiaodan Fan, Tong Liang, Qining Wang, Kunlin Wei, and Long Wang (2013). Locomotion Mode Classification Using A Wearable Capacitive Sensing System. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 21(5), 744-755.
• Weiqiang Zhou, Hong Yan, Xiaodan Fan and Quan Hao (2013). Prediction of Protein-Protein Interactions Based on Molecular Interface Features and the Support Vector Machine. Current Bioinformatics, 8(1):3-8.
• Jin Xu, Qiwei Li, Victor O. K. Li, Shuo-Yen Robert Li and Xiaodan Fan (2013). Improved short adjacent repeat identification using three evolutionary Monte Carlo schemes. International Journal of Data Mining and Bioinformatics. 8(4):462-479.
• Tong Liang, Xiaodan Fan (Corresponding Author), Qiwei Li and Shuo-yen Robert Li (2012). Detection of Dispersed Short Tandem Repeats Using Reversible Jump Markov Chain Monte Carlo. Nucleic Acids Research, 40(19):e147. (Matlab Code: Pilot RJMCMC)
• Qing Zhang, Xiaodan Fan, Yejun Wang, Mingan Sun, Samuel S. M. Sun and Dianjing Guo (2012) A Model-Based Method for Gene Dependency Measurement. PLoS ONE, 7(7): e40918.
• Qiwei Li, Xiaodan Fan (Corresponding Author), Tong Liang, and Shuo-Yen Robert Li (2011). An MCMC Algorithm for Detecting Short Adjacent Repeats Shared by Multiple Sequences. Bioinformatics, 27(13):1772-1779. (C Code: BASARD)
• Heung Man Lee, Yi Sui, Hailu Zhao, Kwong Wai Choy, Xiaodan Fan, Wing Yee So, Juliana Chung Ngor Chan and Ronald Ching Wan Ma (2011). The Effects of Uninephrectomy and Accompanied ACEI Treatment on Myocardial Gene Expression. Diabetes, 60(Supp 1):A155.
• Xiaodan Fan, Yuan Yuan, and Jun S. Liu (2010). The EM Algorithm and the Rise of Computational Biology. Statistical Science, 25(4):476-491.
• Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S. Tang, and Weichuan Yu (2010). BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies. American Journal of Human Genetics, 87(3):325-40.
• Xiaodan Fan, Saumyadipta Pyne, and Jun S. Liu (2010). Bayesian Meta-Analysis for Identifying Periodically Expressed Genes in Fission Yeast Cell Cycle. The Annals of Applied Statistics, 4(2):988-1013.
• Xiaodan Fan and Jun S. Liu (2009). A Bayesian Model for Cross-Study Differential Gene Expression Comment. Journal of the American Statistical Association, 104(488):1314-1318.
• Xiaodan Fan, Jun Zhu, Eric E. Schadt, and Jun S. Liu (2007). Statistical Power of Phylo-HMM for Evolutionarily Conserved Element Detection. BMC Bioinformatics, 8(1), 374.
• Yingfei Sun, Xiaodan Fan (Joint First Authors), and Yanda Li (2003). Identifying Splicing Sites in Eukaryotic RNA: Support Vector Machine Approach. Computers in Biology and Medicine, 33(1):17-29.
• Xiaodan Fan, Yingfei Sun, and Yanda Li (2003). Rapid Development of Real-time Control Systems in C++ Based on RTW. Journal of Tsinghua University, 43(7):895-898.
• Yingfei Sun, Xiaodan Fan, and Yanda Li (2003). Secondary Structural Characteristic of Eukaryotic Gene Splicing Sites. Journal of Tsinghua University, 43(3):393-395.

In Conferences:

• Guozhi Jiang, Claudia H. T. Tam, Andrea O. Y. Luk, Alice P. S. Kong, Wing Yee So, Juliana C. N. Chan, Ronald C. W. Ma and Xiaodan Fan (corresponding author) (2016). Variable Selection and Prediction of Clinical Outcome with Multiply-Imputed Data via Bayesian Model Averaging. In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2016), pages 727-730, Shenzhen, China.
• Guozhi Jiang, Claudia HT Tam, Andrea O Luk, Heung Man Lee, Cadmon K.P. Lim, Xiaodan Fan, Si Lok, Ting Fung Chan, Kevin Yuk-Lap Yip, Nelson Tang, Stephen KW Tsui, Weichuan Yu, Brian Tomlinson, Yu Huang, Huiyao Lan, Cheuk-Chun Szeto, Wing Yee So, Juliana C.N. Chan, Ronald C.W. Ma (2016). Genome-Wide Association Study in Chinese Identifies New Susceptibility Loci Associated with Chronic Kidney Disease in Type 2 Diabetes. Diabetes Research and Clinical Practice, 120(Supp 1):S49-S50.
• Guozhi Jiang, Eric S. Lau, Ying Wang, Andrea O. Y. Luk, Claudia H. Tam, Janice S. Ho, Vincent K. Lam, Heung M. Lee, Xiaodan Fan, Wing-Yee So, Juliana C. N. Chan, Ronald Ching Wan Ma (2013). Development of Prediction Models under Multiple Imputation for Coronary Heart Disease in Type 2 Diabetes Mellitus. DOI: 10.5220/0004244303120315. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS-2013), pages 312-315, Barcelona, Spain.
• Han Li and Xiaodan Fan (corresponding author) (2013). A coupled finite mixture model for transcriptional modules discovery. The 59th World Statistics Congress, Hong Kong.
• Jin Xu, Albert Y.S. Lam, Victor O. K. Li, Qiwei Li and Xiaodan Fan (corresponding author) (2012). Short Adjacent Repeat Identification Based on Chemical Reaction Optimization. In Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2012), Brisbane, Australia.
• Weiqiang Zhou, Hong Yan, Xiaodan Fan, Quan Hao (2011). Prediction of Protein-protein Interactions using Alpha Shape Modeling. In 2011 International Symposium on Computational Models for Life Sciences. AIP Conference Proceedings (CMLS-11), Volume 1371, pages 244-252, Toyama City, Japan.
• Qiwei Li, Tong Liang, Xiaodan Fan (corresponding author), Chunhui Xu, Weichang Yu, and Shuo-Yen Robert Li (2010). An Automatic Procedure to Search Highly Repetitive Sequences in Genome as Fluorescence in Situ Hybridization Probes and Its Application on Brachypodium Distachyon. In Proceedings of the 2010 IEEE International Conference on Bioinformatics & Biomedicine, Dec. 2010. pages 563-568, Hong Kong.
• Jin Xu, Qiwei Li, Xiaodan Fan, Victor O. K. Li, and Shuo-Yen Robert Li (2010). An Evolutionary Monte Carlo Algorithm for Identifying Short Adjacent Repeats in Multiple Sequences. In Proceedings of the 2010 IEEE International Conference on Bioinformatics & Biomedicine, Dec. 2010. pages 643-648, Hong Kong.
• Xiaodan Fan, Xinglai Ji, Rui Jiang (2018). Guest Editorial for Special Section on the Sixth National Conference on Bioinformatics and System Biology of China. IEEE-ACM Transactions On Computational Biology and Bioinformatics, 15(4):1092-1092.

Professional Services

• Associate Editor, Journal of Computational and Graphical Statistics (2012-07 to Present)
• Editorial Board Member, Frontiers in Genetics (2015-04 to Present)
• Guest Editor, IEEE/ACM Transactions on Computational Biology and Bioinformatics (2014-11 to 2018-04)
• Referee for Journals: Journal of the American Statistical Association, Annals of Applied Statistics, Journal of Computational and Graphical Statistics, Journal of Statistical Computation and Simulation, Computational Statistics and Data Analysis, IEEE/ACM Trans. on Computational Biology; Bioinformatics, Psychometrika, Technometrics, PLoS Computational Biology, BMC Bioinformatics, etc.
• Organizing Committee Member of Conferences: the 12th ICSA International Conference, the 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, CUHK Symposium on Statistics, etc.
• Programme Committee Member of Conferences: ICBBB, BIBE, etc.

Teaching

• STAT 3210: Statistical Techniques in Life Sciences (undergraduate course)
• STAT 6040: Studies on Selected Topics II (postgraduate course)

My Postgraduate Students

Ph.D. Students:

• Ji, Jie (Major: Statistics, 2021-present )
• Li, Dongrong (Major: Statistics, 2020-present )
• Zhu, Bencong (Major: Statistics, 2020-present )
• Liu, Ran (Major: Statistics, 2019-present )
• Zhang, Zhen (Major: Statistics, 2019-present )
• Wang, Lijun (Major: Statistics, 2018-2022 )
• Lian, Sheng (Major: Statistics, 2017-2021 )
• Mao, Shanjun (Major: Statistics, 2017-2020)
• Zhu, Yulin (Major: Statistics, 2016-2020)
• Jiang, Hangjin (Major: Statistics, 2015-2018)
• Wang, Chaojie (Major: Statistics, 2014-2018)
• Shen, Linghao (Major: Information Engineering, 2013-2017)
• Hu, Jie (Major: Statistics, 2011-2015)
• Li, Chun (Major: Statistics, 2011-2014)
• Li, Han (Major: Statistics, 2010-2014)
• Jiang, Guozhi (Major: Medical Sciences, co-supervised with Prof. Ronald C.W. Ma, 2010-2013)
• Liang, Tong (Major: Information Engineering, co-supervised with Prof. Shuo-Yen Robert Li, 2008-2013)
• Han, Shengtong (Major: Statistics, 2009-2012)

M.Phil. Students:

• Kwok, Chin Kiu (Major: Statistics, 2016-2018)
• Tang, Sheung Ho (Major: Statistics, 2014-2016)
• Chen, Zirui (Major: Statistics, 2014-2016)
• Lau, Yuk Fai (Major: Statistics, 2013-2015)
• Chan, Kwun Cheung (Major: Statistics, 2012-2014)
• Lu, Jiayi (Major: Statistics, 2011-2013)
• Fung, Ling Hiu (Major: Statistics, 2010-2012)
• Li, Qiwei (Major: Information Engineering, co-supervised with Prof. Shuo-Yen Robert Li, 2008-2010)

Major Research Grants

• FHB-HMRF Grant; Capacity: Co-Investigator
  Title: Functional, Phenotypical, and Multimodal Analysis of the Tertiary Lymphoid Structure (TLS) and TLS B Cells as Potential Novel Biomarkers and Immunotherapeutic Targets for Lung Cancer
  Period: 2022 – 2025
• Hong Kong ITC-mainland MOST Joint Funding Scheme; Capacity: Co-Investigator
  Title: Detection and Functional Study of Genetic Structure Variations in Familial Breast Cancer Using the Third Generation Sequencing Technology
  Period: 2022 – 2024
• UGC-CRF Grant; Capacity: Co-Principal Investigator
  Title: Hong Kong’s Window on the Universe: Building a Pioneering Submillimetre Astronomical Camera
  Period: 2021-2024
• RGC-GRF Grant; Capacity: Principal Investigator
  Title: Consistent Model-free Ultra-high Dimensional Variable Selection for Binary Response
  Period: 2020 – 2022
• RGC-GRF Grant; Capacity: Principal Investigator
  Title: Detection of Differentially Methylated Regions Based on Array or Sequencing Data
  Period: 2018 – 2020
• RGC-Theme-based Research Scheme; Capacity: Co-Principal Investigator
  Title: Gastric Cancer Genomics and Beyond – Moving from Patient Samples to 3D Organoid Cultures for Integrative Genomics Analysis, Drug Sensitivity Assays, Cell Biological Studies and Animal Models
  Period: 2016 – 2022
• RGC-GRF Grant; Capacity: Principal Investigator
  Title: Bayesian Integrative Clustering for Combining Vectorial Data and Network Data
  Period: 2016 – 2018
• RGC-Theme-based Research Scheme; Capacity: Co-Investigator
  Title: An integrated trans-omics approach to diabetic cardio-renal complications: from novel discoveries to personalized medicine
  Period: 2014 – 2018
• RGC-GRF Grant; Capacity: Principal Investigator
  Title: Bayesian Model-based Clustering of the Conformational Space of Biomolecules
  Period: 2013 – 2016
• UGC-AoE Grant; Capacity: Co-Investigator
  Title: Institute of Network Coding
  Period: 2010 – 2017
• RGC-GRF Grant; Capacity: Principal Investigator
  Title: Bayesian Data Integration Approach for Cell-Cycle Gene Network Inference
  Period: 2010 – 2012
• ITC-ITF; Capacity: Co-Investigator
  Title: Developing a Platform to Deliver Personalized Healthcare Using Genotype-based Risk Algorithms to Predict Diabetes and Diabetic Complications
  Period: 2010 – 2012