RPG Research Outputs

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

• Sanyou Wu and Long Feng (2023)

   

Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning

IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

• Tsai Hor Chan*, Fernando Julio Cendra*, Lan Ma, Guosheng Yin and Lequan Yu (2023)

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

• Lingting Zhu*, Xian Liu*, Xuanyu Liu, Rui Qian, Ziwei Liu, Lequan Yu (2023)

Encoding Recurrence into Transformers

International Conference on Learning Representations (ICLR-2023)

• Feiqing Huang*, Kexin Lu*, Yuxi CAI, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li (2023)

Cross-Layer Retrospective Retrieving via Layer Attention

International Conference on Learning Representations (ICLR-2023)

• Yanwen Fang*, Yuxi Cai*, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li (2023)

Source-Aware Embedding Training on Heterogeneous Information Networks

Data Intelligence (2023): 1-14

• Tsai Hor Chan, Chi Ho Wong, Jiajun Shen, and Guosheng Yin (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

• Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, 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

• Yihang Chen, Weiqin Zhao, 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

• Ziyu Guo* , Weiqin Zhao* , Shujun Wang, and Lequan Yu (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

• Jiaxin Qiu, Zeng Li, Jianfeng Yao (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

• Zhanting Long, Zeng Li, Ruitao Lin, Jiaxin Qiu (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)

• Jiahui Gao*, Renjie Pi*, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong (2023)

Generalist: Decoupling Natural and Robust Generalization

IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)

• Hongjun Wang, and Yisen Wang (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.

• Yikun Xu, Pengwen Dai, Zekun Li, Hongjun Wang, Xiaochun Cao (2023)

DeepMed: Semiparametric causal mediation analysis with debiased deep learning

The 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

• Siqi Xu, Lin Liu, Zhonghua Liu (2022)

Highly sensitive single-cell chromatin accessibility assay and transcriptome coassay with METATAC

PNAS 2022, 119(40), e2206450119, doi: 10.1073/pnas.2206450119

• Honggui Wu, Xiang Li, Fanchong Jian, Ayijiang Yisimayi, Yinghui Zheng, Longzhi Tan, Dong Xing and X. Sunney Xiea (2022)

High Dimensional Portfolio Selection with Cardinality Constraints

Journal of the American Statistical Association (2022), doi: 10.1080/01621459.2022.2133718

• Jin-Hong Du, Yifeng Guo, and Xueqin Wang (2022)

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Conference on Empirical Methods in Natural Language Processing (EMNLP-2022)

• Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, 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)

• Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, and Lingpeng Kong (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, Minhao Yao, Tao Huang and Zhonghua Liu (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

• Peixin Tian, Yiqian Hu, Zhonghua Liu and Yan Dora Zhang (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)

• Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu (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.

• Xuran Meng, Jianfeng Yao (2022)

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

36th Conference on Neural Information Processing Systems (NeurIPS 2022)

• Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, Lequan Yu (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

• Daoyuan Lai, Yan Dora Zhang, and Junfeng Lu (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

• Zhenchao Jin, Dongdong Yu, Zehuan Yuan, Lequan Yu (2022)

Self-Ensemble Adversarial Training for Improved Robustness

The Tenth International Conference on Learning Representations (ICLR-22). DOI: arxiv-2203.09678

• Hongjun Wang, Yisen Wang (2022)

A novel penalized inverse-variance weighted estimator for Mendelian randomization with applications to COVID-19 outcomes

Biometrics. doi:10.1111/biom.13732

• Siqi Xu, Peng Wang, Wing Kam Fung and Zhonghua Liu (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

• Yunpeng Zhou and Kam Chuen Yuen (2022)

AutoBERT-Zero: Evolving BERT Backbone from Scratch

The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). doi: 10.1609/aaai.v36i10.21311

• Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L.H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li (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

• Jiaqi Gu and Philip L. H. Yu (2022)

CFO: Calibration-Free Odds Design for Phase I/II Clinical Trials

Statistical Methods in Medical Research. doi: 10.1177/09622802221079353

• Huaqing Jin, Guosheng Yin (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

• Daoyuan Lai, Yuxi Cai, Tsai Hor Chan, Dailin Gan, Amber N Hurson, Yan Dora Zhang (2022)

C-index regression for recurrent event data

Contemporary Clinical Trials. doi: 10.1016/j.cct.2022.106787

• Wen Su, Baihua He, Yan Dora Zhang, Guosheng Yin (2022)

Divide-and-Conquer for Accelerated Failure Time Model with Massive Time-to-Event Data

The Canadian Journal of Statistics

• Wen Su, Guosheng Yin, Jing Zhang, Xingqiu Zhao (2022)

An eigenvalue ratio approach to inferring population structure from whole genome sequencing data

Biometrics. doi: 10.1111/biom.13691

• Yuyang Xu, Zhonghua Liu, Jianfeng Yao (2022)

Revisiting Over-smoothing in BERT from the Perspective of Graph

The International Conference on Learning Representations (ICLR 2022)

• Han Shi, Jiahui Gao*, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen Lee, James T. Kwok *co-first author (2022)

Multiethnic Polygenic Risk Prediction in Diverse Populations through Transfer Learning

Frontiers in Genetics

• Peixin Tian, Tsai Hor Chan, Yong-Fei Wang, Wanling Yang, Guosheng Yin, Yan Dora Zhang (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

• Anqi Wang, Zhonghua Liu (2022)

A sequential test for assessing the effectiveness of response strategies during an emerging epidemic

Biometrical Journal. doi: 10.1002/bimj.202100293

• K.F. Lam, Yuanke Qu (2022)

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

• Yaodi Yong and Hailiang Yang (2021)

Testing Error Distribution by Kernelized Stein Discrepancy in Multivariate Time Series Models

Journal of Business & Economic Statistics. doi: 10.1080/07350015.2021.2002160

• Donghang Luo, Ke Zhu, Huan Gong and Dong Li (2021)

Nonparametric Inference for Reversed Mean Models with Panel Count Data

Bernoulli. Accepted

• Li Liu, Wen Su, Guosheng Yin, Xingqiu Zhao and Ying Zhang (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

• Yuanke Qu, Chun Yin Lee and KF Lam (2021)

UNISON: Unpaired Cross-lingual Image Captioning

Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). Accepted

• Jiahui Gao, Yi Zhou, Philip L.H. Yu, Shafiq Joty, Jiuxiang Gu (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

• Wei Liu, Yuyang Xu, Anqi Wang, Tao Huang and Zhonghua Liu (2021)

Unit information prior for adaptive information borrowing from multiple historical datasets

Statistics in Medicine. 40, Issue25, 5657-5672

• Huaqing Jin, 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, Huaqing Jin, Yi Feng Wen and Guosheng Yin (2021)

Bayesian Nonparametric Analysis of Restricted Mean Survival Time

Biometrics. Accepted

• Chenyang Zhang and Guosheng Yin (2021)

Hyperparameter Optimization via Sequential Uniform Designs

Journal of Machine Learning Reseach. 22

• Yang Zebin, Aijun Zhang (2021)

Response-adaptive Rerandomization

Journal of the Royal Statistical Society: Series C (Applied Statistics). 70, Issue5, 1281-1298

• Zhang Hengtao and Guosheng Yin (2021)

Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation

35th Conference on Neural Information Processing Systems (NeurIPS 2021)

• Jingyu Zhao, Yanwen Fang and Guodong Li (2021)

Reconstructing the Kaplan-Meier Estimator as an M-estimator

The American Statistician. Accepted

• Jiaqi Gu, Yiwei Fan, and Guosheng Yin (2021)

Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences

Technometrics. 1-23. doi:10.1080/00401706.2021.1927848

• Huaqing Jin, Guosheng Yin, Binhang Yuan & Fei Jiang (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

• Zhenggang Wang, Jianfeng Yao (2021)

Reduction in number to treat versus number needed to treat

BMC Medical Research Methodology. 21. doi:10.1186/s12874-021-01246-5

• Chenyang Zhang, Guosheng Yin (2021)

SparseBERT: Rethinking the Importance Analysis in Self-attention

Thirty-eighth International Conference on Machine Learning (ICML 2021)

• Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok (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)

• Chen Liu, Jinze Cui, Dailin Gan, and Guosheng Yin (2021)

Crystallization Learning with the Delaunay Triangulation

Thirty-eighth International Conference on Machine Learning (ICML 2021)

• Jiaqi Gu, Guosheng Yin (2021)

State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits

The 30th International Joint Conference on Artificial Intelligence (IJCAI)

• Shuang Wu , Jingyu Zhao, Guangjian Tian, Jun Wang (2021)

MRCIP: A robust Mendelian randomization method accounting for correlated and idiosyncratic pleiotropy

Briefings in Bioinformatics

• Siqi Xu, Wing Kam Fung 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

• Wei Liu, Yunshan Guo and Zhonghua Liu (2021)

Fourier-Cosine Method For Finite-Time Gerber-Shiu Functions

SIAM Journal on Scientific Computing. 43(3), B650-B677. doi: 10.1137/20M1328580

• Xiaolong Li, Yifan Shi, Sheung Chi Phillip Yam and Hailiang Yang (2021)

Zero-one-inflated simplex regression models for the analysis of continuous proportion data. Statistics and Its Interface

Its Interface Statistics and Its Interface. 13(2), 193–208. doi: 10.4310/SII.2020.v13.n2.a5

• Pengyi Liu, Kam Chuen Yuen, Liu-Cang Wu, Guo-Liang Tian, and Tao Li (2020)

Delta Boosting Implementation of Negative Binomial Regression in Actuarial Pricing

Risks. 8(1), 19. doi:10.3390/risks8010019

• Simon C.K. Lee (2020)

Compact Autoregressive Network

Proceedings of the AAAI Conference on Artificial Intelligence. 34, 6145-6152. doi:10.1609/aaai.v34i04.6079

• Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li and Guangjian Tian (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

• Guosheng Yin, Chenyang Zhang and Huaqing Jin (2020)

Restricted mean survival time for interval‐censored data

Statistics in Medicine. 39, Issue26, 3879-3895. doi:10.1002/sim.8699

• Chenyang Zhang, Yuanshan Wu and Guosheng Yin (2020)

Do RNN and LSTM have Long Memory?

Proceedings of the 37th International Conference on Machine Learning, PMLR 119:11365-11375

• Jingyu Zhao, Feiqing Huang, Jia Lv, Yuanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian (2020)

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

• Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian and Hengshui Yao (2019)

Biostatistics pitfalls: Lessons learned from analysis of medical data

Contemporary Clinical Trials. 87, 105875. doi: 10.1016/j.cct.2019.105875

• Guosheng Yin, Chenyang Zhang and Zebin Yang (2019)