Weining Shen

According to our database, Weining Shen authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Hanjie Chen

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

Language and Multimodal Models in Sports: A Survey of Datasets and Applications.

Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-Fang Wang, Hanjie Chen, Weining Shen

CoRR, 2024

SportQA: A Benchmark for Sports Understanding in Large Language Models.

Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Covariate dependent Beta-GOS process.

Kunzhi Chen, Weining Shen, Weixuan Zhu

Comput. Stat. Data Anal., April, 2023

Analysis of Professional Basketball Field Goal Attempts via a Bayesian Matrix Clustering Approach.

Fan Yin, Guanyu Hu, Weining Shen

J. Comput. Graph. Stat., January, 2023

Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single Camera.

Haotian Xia, Rhys Tracy, Yun Zhao, Yuqing Wang, Yuan-Fang Wang, Weining Shen

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Weighted AutoEncoding recommender system.

Shuying Zhu, Weining Shen, Annie Qu

Stat. Anal. Data Min., 2022

Random Forest Adjustment for Approximate Bayesian Computation.

Jiefeng Bi, Weining Shen, Weixuan Zhu

J. Comput. Graph. Stat., 2022

2021

Application of Artificial Intelligence in Teaching Reform of New Economics.

Shifeng Wu, Xiaohong Li, Shuo Zhu, Weining Shen, Jingnan Wu, Yujie Sun

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020

Matrix Linear Discriminant Analysis.

Wei Hu, Weining Shen, Hua Zhou, Dehan Kong

Technometrics, 2020

Generalized probabilistic principal component analysis of correlated data.

Mengyang Gu, Weining Shen

J. Mach. Learn. Res., 2020

The expressivity and training of deep neural networks: Toward the edge of chaos?

Gege Zhang, Gangwei Li, Weining Shen, Weidong Zhang

Neurocomputing, 2020

2019

Elliptical modeling and pattern analysis for perturbation models and classification.

Shan Suthaharan, Weining Shen

Int. J. Data Sci. Anal., 2019

Modeling Local Field Potentials with Regularized Matrix Data Clustering.

Xu Gao, Weining Shen, Jianhua Hu, Norbert Fortin, Hernando C. Ombao

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Estimating Brain Connectivity Using Copula Gaussian Graphical Models.

Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Outlier Detection and Robust Estimation in Nonparametric Regression.

Dehan Kong, Howard D. Bondell, Weining Shen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing.

Shan Suthaharan, Weining Shen

Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016