Term | Code | Class | Title |
---|---|---|---|
2022 S8 | DASC7600 | SC | Data science project |
2022 S1 | ARIN7101 | 1A | Statistics in artificial intelligence |
2022 S1 | STAT6011 | 1A | Computational Statistics and Bayesian Learning |
2022 S1 | STAT4610 | 1A | Bayesian learning |
2022 S1 | DASC7600 | 1A | Data science project |
2021 S8 | DASC7600 | SC | Data science project |
2021 S2 | STAT7006 | 2A | Design and analysis of sample surveys |
2021 S2 | STAT7614 | 2B | Advanced statistical modelling |
2021 S2 | STAT7102 | 2B | Advanced statistical modelling |
2021 S2 | DASC7600 | 2B | Data science project |
2021 S1 | STAT8305 | 1A | Bayesian statistics |
2021 S1 | STAT7611 | 1A | Computational statistics |
2021 S1 | STAT6011 | 1A | Computational Statistics and Bayesian Learning |
2021 S1 | DASC7600 | 1A | Data science project |
2020 S2 | STAT3622 | 2A | Data visualization |
2020 S2 | STAT4799 | FA | Statistics project |
2020 S1 | STAT4799 | FA | Statistics project |
2020 S1 | STAT8305 | 1A | Bayesian statistics |
2020 S1 | STAT7611 | 1A | Computational statistics |
2020 S1 | STAT6011 | 1A | Computational statistics |
2020 S1 | DASC7600 | 1A | Data science project |
2019 S2 | STAT3799 | 2B | Directed studies in statistics |
2019 S1 | STAT8305 | 1A | Bayesian statistics |
2019 S1 | STAT7611 | 1A | Computational statistics |
2019 S1 | STAT6011 | 1A | Computational statistics |
2019 S1 | DASC7600 | 1A | Data science project |
2018 S1 | STAT4799 | FA | Statistics project |
2018 S2 | STAT4799 | FA | Statistics project |
2018 S1 | STAT7611 | 1A | Computational statistics |
2018 S1 | STAT6003 | FA | Research postgraduate seminar |
2018 S1 | STAT6011 | 1A | Computational statistics |
2018 S2 | STAT3607 | 2A | Statistics in clinical medicine and bio-medical research |
2018 S1 | STAT8305 | 1A | Bayesian statistics |
Status | Thesis Title | Field of Study | Student |
---|---|---|---|
Generalizable Machine Learning Techniques for Medical Image Analysis | 2022 Phd Zhao Weiqin | ||
Preventing Posterior Collapse in Variational Autoencoders | 2022 Phd Li Ying | ||
Computer Vision and Machine Learning | 2022 Phd Wang Hongjun | ||
Computer Vision and Deep Learning | 2022 Phd Cheng Silin | ||
TWO-STEP TRANSFER LEARNING METHODS WITH R2D2 SHRINKAGE PRIOR AND INSTANCE WEIGHTING TRANSFER USING GENE EXPRESSION DATA | Statistics and Biostatistics | 2022 MPhil Chen Hanning | |
Statistics | 2020 Phd Tian Peixin | ||
Bioinformatics | 2021 Others Fang Jialu | ||
MONTE CARLO METHODS FOR VARIANCE REDUCTION AND LOG-RANK TEST | Statistical Machine Learning, Statistical Theory for Deep Learning, Bayesian Deep Neural Network | 2021 MPhil Zhang Yan | |
Bayesian Statistics, Machine Learning, Functional Data Analysis | 2021 Phd Su Siqiang | ||
Federated Representation Learning from Heterogeneous Data for Computer Vision Tasks | 2021 Phd Wang Fuying | ||
INTRINSICALLY INTERPRETABLE MACHINE LEARNING MODELS AND AUTOMATED HYPERPARAMETER OPTIMIZATION | Machine Learning; Time Series Analysis | 2017 Phd Yang Zebin | |
Causal Inference | 2020 Phd Wang Anqi | ||
BAYESIAN BASKET TRIAL DESIGN WITH BIOMARKER CUTOFF IDENTIFICATION AND AN ALTERNATIVE APPROACH FOR ESTIMATING THE NUMBER NEEDED TO TREAT FOR SURVIVAL ENDPOINTS | Phase I/II Clinical Trial | 2017 MPhil Yang Zhao | |
NONPARAMETRIC AND SEMIPARAMETRIC INFERENCE FOR SURVIVAL DATA | Statistics | 2019 Phd Su Wen | |
ESCALATION WITH OVERDOSE CONTROL FOR PHASE 1 DRUG-COMBINATION TRIALS | Statistics with Emphasis on Bayesian Methodologies | 2012 MPhil Shi Yun | |
CAUSAL INFERENCE FOR RANDOMIZED EXPERIMENTS AND OBSERVATIONAL STUDIES | Statistical Learning for Big Data | 2018 Phd Zhang Hengtao | |
BAYESIAN ADAPTIVE METHODS FOR PHASE I CLINICAL TRIALS | Biostatistics | 2013 Phd Lin Ruitao | |
TWO-STAGE ADAPTIVE DESIGNS IN EARLY PHASE CLINICAL TRIALS | Clinical Trail | 2011 MPhil Xu Jiajing | |
STATISTICAL METHODS FOR CLINICAL TRIALS UNDER THE BAYESIAN FRAMEWORK | Image Analysis, Deep Learning | 2018 Phd Jin Huaqing | |
STATISTICAL LEARNING BY EMBEDDING DATA INTO COMPUTATIONAL GRAPHS | modelling Ranking Data with Social Networks | 2018 Phd Gu Jiaqi | |
RESTRICTED MEAN SURVIVAL TIME FOR MEDICAL DATA ANALYSIS | Bayesian Statistics, Machine Learning | 2018 Phd Zhang Chenyang | |
BAYESIAN COMPUTATIONAL METHODS AND APPLICATIONS | Monte Carlo Simulations | 2014 Phd Lam Chi Kin | |
ON INCOMPLETE MULTINOMIAL DATA MODELING AND INTRACTIVE NEURAL AND STATISTICAL COMPUTING WITH GPU | Constrained Parameters Problems and Incomplete Data Analysis | 2012 Phd Dong Fanghu | |
BAYESIAN ADAPTIVE CLINICAL TRIAL DESIGNS | Biostatistics and Clinical Trial Design | 2015 Phd Shi Haolun | |
STATISTICAL MACHINE LEARNING METHODS AND APPLICATIONS | Statistics | 2016 Phd Liu Yehong | |
CLINICAL TRIAL DESIGNS FOR DOSE FINDING IN DRUG-COMBINATION TRIALS AND DRUG TREATMENT SUPERIORITY EVALUATION | Beysian Analysis, Statistical Modeling, Networks, Stochastic Process | 2018 Phd Zhang Teng |
Start Date | End Date | Committee | Category | Body |
---|---|---|---|---|
2014-07-01 | Faculty of Science, Board of the | The teachers who are members of the Faculty and who are full-time employees of the University | ||
2012-08-10 | 2014-06-30 | Faculty of Science, Board of the | The teachers who are members of the Faculty and who are full-time employees of the University | |
2009-08-10 | 2012-08-09 | Faculty of Science, Board of the | The teachers who are members of the Faculty and who are full-time employees of the University |