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2020 – today
- 2025
[i6]Yilin Li, Weining Shen:
From Images to Detection: Machine Learning for Blood Pattern Classification. CoRR abs/2501.02151 (2025)- 2024
- [c7]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: 5061-5081 - [i5]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 abs/2402.15862 (2024) - [i4]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 abs/2406.12252 (2024) - [i3]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 abs/2406.14877 (2024) - [i2]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:
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. CoRR abs/2410.08474 (2024) - 2023
- [j8]Kunzhi Chen, Weining Shen, Weixuan Zhu
:
Covariate dependent Beta-GOS process. Comput. Stat. Data Anal. 180: 107662 (2023) - [j7]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): 49-60 (2023) - [c6]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: 1407-1416 - [i1]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 abs/2309.14753 (2023) - 2022
- [j6]Jiefeng Bi, Weining Shen, Weixuan Zhu:
Random Forest Adjustment for Approximate Bayesian Computation. J. Comput. Graph. Stat. 31(1): 64-73 (2022) - [j5]Shuying Zhu, Weining Shen, Annie Qu:
Weighted AutoEncoding recommender system. Stat. Anal. Data Min. 15(5): 570-585 (2022) - 2021
- [c5]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: 572-577 - 2020
- [j4]Gege Zhang, Gangwei Li, Weining Shen, Weidong Zhang:
The expressivity and training of deep neural networks: Toward the edge of chaos? Neurocomputing 386: 8-17 (2020) - [j3]Mengyang Gu, Weining Shen:
Generalized probabilistic principal component analysis of correlated data. J. Mach. Learn. Res. 21: 13:1-13:41 (2020) - [j2]Wei Hu, Weining Shen, Hua Zhou, Dehan Kong:
Matrix Linear Discriminant Analysis. Technometrics 62(2): 196-205 (2020)
2010 – 2019
- 2019
- [j1]Shan Suthaharan, Weining Shen:
Elliptical modeling and pattern analysis for perturbation models and classification. Int. J. Data Sci. Anal. 7(2): 103-113 (2019) - [c4]Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao:
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. ISBI 2019: 108-112 - [c3]Xu Gao, Weining Shen, Jianhua Hu, Norbert Fortin, Hernando C. Ombao:
Modeling Local Field Potentials with Regularized Matrix Data Clustering. NER 2019: 597-602 - 2018
- [c2]Dehan Kong, Howard D. Bondell, Weining Shen:
Outlier Detection and Robust Estimation in Nonparametric Regression. AISTATS 2018: 208-216 - 2016
- [c1]Shan Suthaharan, Weining Shen:
Pairing of most relevant variables and bootstrap samples with ridge regression for data sharing. CNS 2016: 384-385
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