Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. - Shan Suthaharan; Weining Shen (CNS, 2016)

Outlier Detection and Robust Estimation in Nonparametric Regression. - Dehan Kong; Howard D. Bondell; Weining Shen (AISTATS, 2018)

Estimating Brain Connectivity Using Copula Gaussian Graphical Models. - Xu Gao; Weining Shen; Chee-Ming Ting; Steven C. Cramer; Ramesh Srinivasan; Hernando C. Ombao (ISBI, 2019)

Modeling Local Field Potentials with Regularized Matrix Data Clustering. - Xu Gao; Weining Shen; Jianhua Hu; Norbert Fortin; Hernando C. Ombao (NER, 2019)

Elliptical modeling and pattern analysis for perturbation models and classification. - Shan Suthaharan; Weining Shen (Int. J. Data Sci. Anal., 2019)

The expressivity and training of deep neural networks: Toward the edge of chaos? - Gege Zhang; Gangwei Li; Weining Shen; Weidong Zhang 004 (Neurocomputing, 2020)

Generalized probabilistic principal component analysis of correlated data. - Mengyang Gu; Weining Shen (J. Mach. Learn. Res., 2020)

Matrix Linear Discriminant Analysis. - Wei Hu; Weining Shen; Hua Zhou 001; Dehan Kong (Technometrics, 2020)

Application of Artificial Intelligence in Teaching Reform of New Economics. - Shifeng Wu; Xiaohong Li; Shuo Zhu; Weining Shen; Jingnan Wu; Yujie Sun (AIAM (ACM), 2021)

Random Forest Adjustment for Approximate Bayesian Computation. - Jiefeng Bi; Weining Shen; Weixuan Zhu (J. Comput. Graph. Stat., 2022)

Weighted AutoEncoding recommender system. - Shuying Zhu; Weining Shen; Annie Qu (Stat. Anal. Data Min., 2022)

Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. - Haotian Xia; Rhys Tracy; Yun Zhao 001; Yuqing Wang; Yuan-Fang Wang; Weining Shen (ICDM (Workshops), 2023)

Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. - Fan Yin; Guanyu Hu 002; Weining Shen (J. Comput. Graph. Stat., 2023)

Covariate dependent Beta-GOS process. - Kunzhi Chen; Weining Shen; Weixuan Zhu (Comput. Stat. Data Anal., 2023)

SportQA: A Benchmark for Sports Understanding in Large Language Models. - Haotian Xia; Zhengbang Yang; Yuqing Wang; Rhys Tracy; Yun Zhao 001; Dongdong Huang; Zezhi Chen; Yan Zhu; Yuan-Fang Wang; Weining Shen (NAACL-HLT, 2024)

Language and Multimodal Models in Sports: A Survey of Datasets and Applications. - Haotian Xia; Zhengbang Yang; Yun Zhao 001; Yuqing Wang; Jingxi Li; Rhys Tracy; Zhuangdi Zhu; Yuan-Fang Wang; Hanjie Chen; Weining Shen (CoRR, 2024)

Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video. - Zhengbang Yang; Haotian Xia; Jingxi Li; Zezhi Chen; Zhuangdi Zhu; Weining Shen (CoRR, 2024)

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. - Haotian Xia; Zhengbang Yang; Junbo Zou; Rhys Tracy; Yuqing Wang; Chi Lu; Christopher Lai; Yanjun He; Xun Shao; Zhuoqing Xie; Yuan-Fang Wang; Weining Shen; et al. (ICLR, 2025)

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models. - Xin Guo; Haotian Xia; Zhaowei Liu; Hanyang Cao; Zhi Yang; Zhiqiang Liu; Sizhe Wang; Jinyi Niu; Chuqi Wang; Yanhui Wang; Xiaolong Liang; Xiaoming Huang; et al. (NAACL (Long Papers), 2025)

From Images to Detection: Machine Learning for Blood Pattern Classification. - Yilin Li; Weining Shen (CoRR, 2025)

VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding. - Zhaowei Liu; Xin Guo; Haotian Xia; Lingfeng Zeng; Fangqi Lou; Jinyi Niu; Mengping Li; Qi Qi; Jiahuan Li; Wei Zhang; Yinglong Wang; Weige Cai; et al. (CoRR, 2025)