Yan Zhong

According to our database, Yan Zhong authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Discriminative Multi-View Fusion via Adaptive Regression.

Chenglong Zhang, Xinjie Zhu, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Nonlinear learning method for local causal structures.

Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang

Inf. Sci., January, 2024

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection.

Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan

CoRR, 2024

VoCAPTER: Voting-based Pose Tracking for Category-level Articulated Object via Inter-frame Priors.

Li Zhang, Zean Han, Yan Zhong, Qiaojun Yu, Xingyu Wu, Xue Wang, Rujing Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.

Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang

Proceedings of the International Joint Conference on Neural Networks, 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation.

Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Adaptive collaborative fusion for multi-view semi-supervised classification.

Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng

Inf. Fusion, August, 2023

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

AS-LLM: When Algorithm Selection Meets Large Language Model.

Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan

CoRR, 2023

2021

Multi-Label Local-to-Global Feature Selection.

Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

CoRR, 2020

Tolerant Markov Boundary Discovery for Feature Selection.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020