πŸ“š Publications

Generalization Bounds of Deep Neural Networks With Ο„-Mixing Samples
Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen
IEEE Transactions on Neural Networks and Learning Systems, 2025 中科陒1区TOP
Trajectory-Dependent Generalization Bounds for Pairwise Learning with Ο†-Mixing Samples
Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang
IJCAI 2025 CCF-A
On the Generalization Ability of Next-Token-Prediction Pretraining
Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen, Feng Zheng
ICML 2025 CCF-A
The Consistency Analysis of Gradient Learning under Independent Covariate Shift
Liyuan Liu, Hong Chen, Chi Xiao, Weifu Li
Neurocomputing, 2025 中科陒2区
Gradient Learning under Tilted Empirical Risk Minimization
Liyuan Liu, Biqin Song, Zhibin Pan, Chuanwu Yang, Chi Xiao, Weifu Li
Entropy, 2022 中科陒3区
Variable Selection Using Deep Variational Information Bottleneck with Drop-Out-One Loss
Junlong Pan, Weifu Li, Liyuan Liu, Kang Jia, Tong Liu, Fen Chen
Applied Sciences, 2023 中科陒4区
Distribution-Aware Neural Additive Models
Jingyi Chen, Xuelin Zhang, Peipei Yuan, Liyuan Liu, Hong Chen
ICASSP 2026 CCF-B
Pairwise Generalized Importance Weighting for Metric Learning under Distribution Shift
Richeng Zhou, Xuelin Zhang, Hong Chen, Weifu Li, Liyuan Liu
ICPADS 2025 CCF-C

πŸ† Awards & Honors

πŸ₯‡ National Scholarship for Ph.D. Students (2025)
πŸ₯‡ First Prize, Graduate Academic Annual Conference (Mathematics), College of Informatics (2024)
πŸ₯‡ First Prize, Graduate Forum on Mathematics and Applied Statistics, HZAU (2023)