Weining Shen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Linear Discriminant

Data Clustering

Top Venues

J. Comput. Graph. Stat.

Stat. Anal. Data Min.

Publications

Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
SportQA: A Benchmark for Sports Understanding in Large Language Models. NAACL-HLT (2024)
Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
SportQA: A Benchmark for Sports Understanding in Large Language Models. CoRR (2024)
Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen
Language and Multimodal Models in Sports: A Survey of Datasets and Applications. CoRR (2024)
Zhengbang Yang, Haotian Xia, Jingxi Li, Zezhi Chen, Zhuangdi Zhu, Weining Shen
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video. CoRR (2024)
Fan Yin, Guanyu Hu, Weining Shen
Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach. J. Comput. Graph. Stat. 32 (1) (2023)
Kunzhi Chen, Weining Shen, Weixuan Zhu
Covariate dependent Beta-GOS process. Comput. Stat. Data Anal. 180 (2023)
Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. ICDM (Workshops) (2023)
Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera. CoRR (2023)
Jiefeng Bi, Weining Shen, Weixuan Zhu
Random Forest Adjustment for Approximate Bayesian Computation. J. Comput. Graph. Stat. 31 (1) (2022)
Shuying Zhu, Weining Shen, Annie Qu
Weighted AutoEncoding recommender system. Stat. Anal. Data Min. 15 (5) (2022)
Shifeng Wu, Xiaohong Li, Shuo Zhu, Weining Shen, Jingnan Wu, Yujie Sun
Application of Artificial Intelligence in Teaching Reform of New Economics. AIAM (ACM) (2021)
Gege Zhang, Gangwei Li, Weining Shen, Weidong Zhang
The expressivity and training of deep neural networks: Toward the edge of chaos? Neurocomputing 386 (2020)
Mengyang Gu, Weining Shen
Generalized probabilistic principal component analysis of correlated data. J. Mach. Learn. Res. 21 (2020)
Wei Hu, Weining Shen, Hua Zhou, Dehan Kong
Matrix Linear Discriminant Analysis. Technometrics 62 (2) (2020)
Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando Ombao
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. ISBI (2019)
Xu Gao, Weining Shen, Jianhua Hu, Norbert Fortin, Hernando Ombao
Modeling Local Field Potentials with Regularized Matrix Data Clustering. NER (2019)
Shan Suthaharan, Weining Shen
Elliptical modeling and pattern analysis for perturbation models and classification. Int. J. Data Sci. Anal. 7 (2) (2019)
Dehan Kong, Howard D. Bondell, Weining Shen
Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS (2018)
Shan Suthaharan, Weining Shen
Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. CNS (2016)