Our research postgraduate have the following research outputs: (See our RPG Awards)
[ALL]
[2023]
[2022]
[2021]
[2020]
[2019]
| 2023 |
|---|
| Sanyou Wu and Long Feng (2023) |
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression |
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023, 85, 783–809, https://doi.org/10.1093/jrsssb/qkad024 |
| Tsai Hor Chan*, Fernando Julio Cendra*, Lan Ma, Guosheng Yin and Lequan Yu (2023) |
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning |
IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) |
| Lingting Zhu*, Xian Liu*, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu (2023) |
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation |
IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) |
| Feiqing Huang*, Kexin Lu*, Yuxi CAI, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li (2023) |
Encoding Recurrence into Transformers |
International Conference on Learning Representations (ICLR-2023) |
| Yanwen Fang*, Yuxi Cai*, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li (2023) |
Cross-Layer Retrospective Retrieving via Layer Attention |
International Conference on Learning Representations (ICLR-2023) |
| Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, and Guosheng Yin (2023) |
Source-Aware Embedding Training on Heterogeneous Information Networks |
Data Intelligence (2023): 1-14 |
| Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu (2023) |
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis |
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). https://arxiv.org/abs/2307.10094 |
| Yihang Chen, Weiqin Zhao, Lequan Yu (2023) |
Transformer-based Multimodal Fusion for Survival Prediction by Integrating Whole Slide Images, Clinical, and Genomic Data |
IEEE International Symposium on Biomedical Imaging (ISBI) 2023 |
| Ziyu Guo* , Weiqin Zhao* , Shujun Wang, and Lequan Yu (2023) |
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis |
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). https://arxiv.org/pdf/2309.07400.pdf |
| Jiaxin Qiu, Zeng Li, Jianfeng Yao (2023) |
Asymptotic normality for eigenvalue statistics of a general sample covariance matrix when p/n→∞ and applications |
The Annals of Statistics, 51(3): 1427-1451 (2023), doi: 10.1214/23-AOS2300 |
| Zhanting Long, Zeng Li, Ruitao Lin, Jiaxin Qiu (2023) |
On singular values of large dimensional lag-tau sample auto-correlation matrices |
Journal of Multivariate Analysis, 2023, doi: 10.1016/j.jmva.2023.105205 |
| Jiahui Gao*, Renjie Pi*, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong (2023) |
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning |
International Conference on Learning Representations (ICLR-2023) |
| Hongjun Wang, and Yisen Wang (2023) |
Generalist: Decoupling Natural and Robust Generalization |
IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) |
| Yikun Xu, Pengwen Dai, Zekun Li, Hongjun Wang, Xiaochun Cao (2023) |
The Best Protection Is Attack: Fooling Scene Text Recognition with Minimal Pixels |
IEEE Transactions on Information Forensics & Security, vol. 18, pp. 1580-1595, 2023, doi: 10.1109/TIFS.2023.3245984. |
| 2022 |
|---|
| Siqi Xu, Lin Liu, Zhonghua Liu (2022) |
DeepMed: Semiparametric causal mediation analysis with debiased deep learning |
The 36th Conference on Neural Information Processing Systems (NeurIPS 2022) |
| Honggui Wu, Xiang Li, Fanchong Jian, Ayijiang Yisimayi, Yinghui Zheng, Longzhi Tan, Dong Xing and X. Sunney Xiea (2022) |
Highly sensitive single-cell chromatin accessibility assay and transcriptome coassay with METATAC |
PNAS 2022, 119(40), e2206450119, doi: 10.1073/pnas.2206450119 |
| Jin-Hong Du, Yifeng Guo, and Xueqin Wang (2022) |
High Dimensional Portfolio Selection with Cardinality Constraints |
Journal of the American Statistical Association (2022), doi: 10.1080/01621459.2022.2133718 |
| Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, and Lingpeng Kong (2022) |
ZeroGen: Efficient Zero-shot Learning via Dataset Generation |
Conference on Empirical Methods in Natural Language Processing (EMNLP-2022) |
| Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, and Lingpeng Kong (2022) |
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback |
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2022 Findings) |
| Peixin Tian, Minhao Yao, Tao Huang and Zhonghua Liu (2022) |
CoxMKF: a knockoff filter for high-dimensional mediation analysis with a survival outcome in epigenetic studies |
Bioinformatics, 38(23), 2022, 5229–5235. doi: 10.1093/bioinformatics/btac687 |
| Peixin Tian, Yiqian Hu, Zhonghua Liu and Yan Dora Zhang (2022) |
Grace-AKO: A Novel and Stable Knockoff Filter for Variable Selection Incorporating Gene Network Structures |
BMC Bioinformatics 23, 478 (2022). doi: 10.1186/s12859-022-05016-y |
| Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu (2022) |
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis |
The 37th AAAI Conference on Artificial Intelligence (AAAI-23) |
| Xuran Meng, Jianfeng Yao (2022) |
Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping |
Journal of Machine Learning Research, 24(28):1-40, 2023. |
| Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu (2022) |
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning |
36th Conference on Neural Information Processing Systems (NeurIPS 2022) |
| Daoyuan Lai, Yan Dora Zhang, and Junfeng Lu (2022) |
Venous Thromboembolism following Two Doses of COVID-19 mRNA Vaccines in the US Population, 2020–2022 |
Vaccines 2022, 10(8), 1317; doi: 10.3390/vaccines10081317 |
| Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu (2022) |
You Should Look at All Objects |
European Conference on Computer Vision (ECCV), poster, 2022. In press |
| Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu (2022) |
MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation |
Transactions on Pattern Analysis and Machine Intelligence (TPAMI). doi: 10.1109/TPAMI.2022.3206106 |
| Hongjun Wang, Yisen Wang (2022) |
Self-Ensemble Adversarial Training for Improved Robustness |
The Tenth International Conference on Learning Representations (ICLR-22). DOI: arxiv-2203.09678 |
| Siqi Xu, Peng Wang, Wing Kam Fung and Zhonghua Liu (2022) |
A novel penalized inverse-variance weighted estimator for Mendelian randomization with applications to COVID-19 outcomes |
Biometrics. doi:10.1111/biom.13732 |
| Yunpeng Zhou and Kam Chuen Yuen (2022) |
Estimation in the High Dimensional Additive Hazard Model with l0 Type of Penalty |
Econometrics and Statistics. doi: 10.1016/j.ecosta.2022.09.002 |
| Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L.H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li (2022) |
AutoBERT-Zero: Evolving BERT Backbone from Scratch |
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). doi: 10.1609/aaai.v36i10.21311 |
| Jiaqi Gu and Philip L. H. Yu (2022) |
Social Order Statistics Models for Ranking Data with Analysis of Preferences in Social Networks |
Annals of Applied Statistics. In press |
| Jiaqi Gu and Philip L. H. Yu (2022) |
Joint Latent Space Models for Ranking Data and Social Network |
Statistics and Computing. Volume 32(3), 51. doi: 10.1007/s11222-022-10106-1 |
| Yiwei Fan, Jiaqi Gu and Guosheng Yin (2022) |
Sparse Concordance-based Ordinal Classification |
Scandinavian Journal of Statistics. In press |
| Huaqing Jin, Guosheng Yin (2022) |
CFO: Calibration-Free Odds Design for Phase I/II Clinical Trials |
Statistical Methods in Medical Research. doi: 10.1177/09622802221079353 |
| Daoyuan Lai, Yuxi Cai, Tsai Hor Chan, Dailin Gan, Amber N Hurson, Yan Dora Zhang (2022) |
How to organise travel restrictions in the new future: lessons from the COVID-19 response in Hong Kong and Singapore |
BMJ Global Health. doi:10.1136/ bmjgh-2021-006975 |
| Wen Su, Baihua He, Yan Dora Zhang, Guosheng Yin (2022) |
C-index regression for recurrent event data |
Contemporary Clinical Trials. doi: 10.1016/j.cct.2022.106787 |
| Wen Su, Guosheng Yin, Jing Zhang, Xingqiu Zhao (2022) |
Divide-and-Conquer for Accelerated Failure Time Model with Massive Time-to-Event Data |
The Canadian Journal of Statistics |
| Yuyang Xu, Zhonghua Liu, Jianfeng Yao (2022) |
An eigenvalue ratio approach to inferring population structure from whole genome sequencing data |
Biometrics. doi: 10.1111/biom.13691 |
| Han Shi, Jiahui Gao*, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen Lee, James T. Kwok *co-first author (2022) |
Revisiting Over-smoothing in BERT from the Perspective of Graph |
The International Conference on Learning Representations (ICLR 2022) |
| Jiaqi GU, Guosheng Yin (2022) |
Triangular Concordance Learning of Social Networks |
Journal of Computational and Graphical Statistics. In press. |
| Peixin Tian, Tsai Hor Chan, Yong-Fei Wang, Wanling Yang, Guosheng Yin, Yan Dora Zhang (2022) |
Multiethnic Polygenic Risk Prediction in Diverse Populations through Transfer Learning |
Frontiers in Genetics |
| Anqi Wang, Zhonghua Liu (2022) |
A Two-Sample Robust Bayesian Mendelian Randomization Method Accounting for Linkage Disequilibrium and Idiosyncratic Pleiotropy with Applications to the COVID-19 Outcome |
Genetic Epidemiology. doi: 10.1101/2021.03.02.21252801 |
| K.F. Lam, Yuanke Qu (2022) |
A sequential test for assessing the effectiveness of response strategies during an emerging epidemic |
Biometrical Journal. doi: 10.1002/bimj.202100293 |
| 2021 |
|---|
| Yaodi Yong and Hailiang Yang (2021) |
Valuation of Cliquet-Style Guarantees with Death Benefits in Jump Diffusion Models |
Mathematics. 2021, 9, 2011 |
| Yaodi Yong and Hailiang Yang (2021) |
Valuation of cliquet-style guarantees with death benefits |
Journal of Industrial and Management Optimization. doi:10.3934/jimo.2021188 |
| Donghang Luo, Ke Zhu, Huan Gong and Dong Li (2021) |
Testing Error Distribution by Kernelized Stein Discrepancy in Multivariate Time Series Models |
Journal of Business & Economic Statistics. doi: 10.1080/07350015.2021.2002160 |
| Li Liu, Wen Su, Guosheng Yin, Xingqiu Zhao and Ying Zhang (2021) |
Nonparametric Inference for Reversed Mean Models with Panel Count Data |
Bernoulli. Accepted |
| Yuanke Qu, Chun Yin Lee and KF Lam (2021) |
A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data |
Statistical Methods in Medical Research. doi: 10.1177/09622802211061927 |
| Jiahui Gao, Yi Zhou, Philip L.H. Yu, Shafiq Joty, Jiuxiang Gu (2021) |
UNISON: Unpaired Cross-lingual Image Captioning |
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). Accepted |
| Wei Liu, Yuyang Xu, Anqi Wang, Tao Huang and Zhonghua Liu (2021) |
The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics |
Genetic Epidemiology. doi: 10.1002/gepi.22439 |
| Huaqing Jin, Guosheng Yin (2021) |
Unit information prior for adaptive information borrowing from multiple historical datasets |
Statistics in Medicine. 40, Issue25, 5657-5672 |
| Chenyang Zhang, Huaqing Jin, Yi Feng Wen and Guosheng Yin (2021) |
Efficacy of COVID-19 Treatments: A Bayesian Network Meta-Analysis of Randomized Controlled Trials |
Frontiers in Public Health. 9. doi: 10.3389/fpubh.2021.729559 |
| Chenyang Zhang and Guosheng Yin (2021) |
Bayesian Nonparametric Analysis of Restricted Mean Survival Time |
Biometrics. Accepted |
| Yang Zebin, Aijun Zhang (2021) |
Hyperparameter Optimization via Sequential Uniform Designs |
Journal of Machine Learning Reseach. 22 |
| Zhang Hengtao and Guosheng Yin (2021) |
Response-adaptive Rerandomization |
Journal of the Royal Statistical Society: Series C (Applied Statistics). 70, Issue5, 1281-1298 |
| Jingyu Zhao, Yanwen Fang and Guodong Li (2021) |
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation |
35th Conference on Neural Information Processing Systems (NeurIPS 2021) |
| Jiaqi Gu, Yiwei Fan, and Guosheng Yin (2021) |
Reconstructing the Kaplan-Meier Estimator as an M-estimator |
The American Statistician. Accepted |
| Huaqing Jin, Guosheng Yin, Binhang Yuan & Fei Jiang (2021) |
Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences |
Technometrics. 1-23. doi:10.1080/00401706.2021.1927848 |
| Zhenggang Wang, Jianfeng Yao (2021) |
On a generalization of the CLT for linear eigenvalue statistics of Wigner matrices with inhomogeneous fourth moments |
Random Matrices: Theory and Applications. 2150041. doi:10.1142/S2010326321500416 |
| Chenyang Zhang, Guosheng Yin (2021) |
Reduction in number to treat versus number needed to treat |
BMC Medical Research Methodology. 21. doi:10.1186/s12874-021-01246-5 |
| Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok (2021) |
SparseBERT: Rethinking the Importance Analysis in Self-attention |
Thirty-eighth International Conference on Machine Learning (ICML 2021) |
| Chen Liu, Jinze Cui, Dailin Gan, and Guosheng Yin (2021) |
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning |
The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021) |
| Jiaqi Gu, Guosheng Yin (2021) |
Crystallization Learning with the Delaunay Triangulation |
Thirty-eighth International Conference on Machine Learning (ICML 2021) |
| Shuang Wu , Jingyu Zhao, Guangjian Tian, Jun Wang (2021) |
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits |
The 30th International Joint Conference on Artificial Intelligence (IJCAI) |
| Siqi Xu, Wing Kam Fung and Zhonghua Liu (2021) |
MRCIP: A robust Mendelian randomization method accounting for correlated and idiosyncratic pleiotropy |
Briefings in Bioinformatics |
| Wei Liu, Yunshan Guo and Zhonghua Liu (2021) |
An Omnibus Test for Detecting Multiple Phenotype Associations Based on GWAS Summary Level Data |
Frontiers in Genetics. 12. doi:10.3389/fgene.2021.644419 |
| Xiaolong Li, Yifan Shi, Sheung Chi Phillip Yam and Hailiang Yang (2021) |
Fourier-Cosine Method For Finite-Time Gerber-Shiu Functions |
SIAM Journal on Scientific Computing. 43(3), B650-B677. doi: 10.1137/20M1328580 |
| 2020 |
|---|
| Pengyi Liu, Kam Chuen Yuen, Liu-Cang Wu, Guo-Liang Tian, and Tao Li (2020) |
Zero-one-inflated
simplex regression models for the analysis of continuous proportion data. Statistics and Its Interface |
Statistics and Its Interface. 13(2), 193–208. doi: 10.4310/SII.2020.v13.n2.a5 |
| Pengyi Liu, Guo-Liang Tian, Kam Chuen Yuen, Chi Zhang & Man-Lai Tang (2020) |
Proportional inverse Gaussian distribution: A new tool for analyzing continuous proportional data |
Australian & New Zealand Journal of Statistics. In press |
| Simon C.K. Lee (2020) |
Delta Boosting Implementation of Negative Binomial Regression in Actuarial Pricing |
Risks. 8(1), 19. doi:10.3390/risks8010019 |
| Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li and Guangjian Tian (2020) |
Compact Autoregressive Network |
Proceedings of the AAAI Conference on Artificial Intelligence. 34, 6145-6152. doi:10.1609/aaai.v34i04.6079 |
| Guosheng Yin, Chenyang Zhang and Huaqing Jin (2020) |
Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir |
JMIR Public Health and Surveillance. 6(3), e19538. doi:10.2196/19538 |
| Chenyang Zhang, Yuanshan Wu and Guosheng Yin (2020) |
Restricted mean survival time for interval‐censored data |
Statistics in Medicine. 39, Issue26, 3879-3895. doi:10.1002/sim.8699 |
| Jingyu Zhao, Feiqing Huang, Jia Lv, Yuanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian (2020) |
Do RNN and LSTM have Long Memory? |
Proceedings of the 37th International Conference on Machine Learning, PMLR 119:11365-11375 |
| 2019 |
|---|
| Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian and Hengshui Yao (2019) |
M-estimation in Low-Rank Matrix Factorization: A General Framework |
2019 IEEE International Conference on Data Mining (ICDM). IEEE, 568-577. doi:10.1109/ICDM.2019.00067 |
| Guosheng Yin, Chenyang Zhang and Zebin Yang (2019) |
Biostatistics pitfalls: Lessons learned from analysis of medical data |
Contemporary Clinical Trials. 87, 105875. doi: 10.1016/j.cct.2019.105875 |
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