Data Integrity Check in Distributed Storage Systems. - Zhiquan Tan; Sian-Jheng Lin; Yunghsiang S. Han; Zhongyi Huang; Bo Bai 001; Gong Zhang 001 (ISIT, 2022)

Trade-off Between Efficiency and Consistency for Removal-based Explanations. - Yifan Zhang; Haowei He; Zhiquan Tan; Yang Yuan (NeurIPS, 2023)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning. - Yifan Zhang; Jingqin Yang; Zhiquan Tan; Yang Yuan (CoRR, 2023)

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning. - Yifan Zhang; Zhiquan Tan; Jingqin Yang; Yang Yuan (CoRR, 2023)

Privacy-Preserving Polynomial Computing Over Distributed Data. - Zhiquan Tan; Dingli Yuan; Zhongyi Huang (CoRR, 2023)

Distributed Matrix Multiplication with a Smaller Recovery Threshold through Modulo-based Approaches. - Zhiquan Tan; Dingli Yuan; Zihao Wang; Zhongyi Huang (CoRR, 2023)

Understanding Grokking Through A Robustness Viewpoint. - Zhiquan Tan; Weiran Huang 001 (CoRR, 2023)

Coded Real Number Matrix Multiplication for On-Device Edge Computing. - Zhiquan Tan; Dingli Yuan; Yifan Zhang; Zhongyi Huang (IEEE Signal Process. Lett., 2023)

Contrastive Learning is Spectral Clustering on Similarity Graph. - Zhiquan Tan; Yifan Zhang; Jingqin Yang; Yang Yuan (ICLR, 2024)

Unveiling the Dynamics of Information Interplay in Supervised Learning. - Kun Song 004; Zhiquan Tan; Bochao Zou; Huimin Ma 001; Weiran Huang 001 (ICML, 2024)

Information Flow in Self-Supervised Learning. - Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan; Yifan Zhang (ICML, 2024)

OTMatch: Improving Semi-Supervised Learning with Optimal Transport. - Zhiquan Tan; Kaipeng Zheng; Weiran Huang 001 (ICML, 2024)

Provable Contrastive Continual Learning. - Yichen Wen; Zhiquan Tan; Kaipeng Zheng; Chuanlong Xie; Weiran Huang 001 (ICML, 2024)

Matrix Information Theory for Self-Supervised Learning. - Yifan Zhang; Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan (ICML, 2024)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (NeurIPS, 2024)

Large Language Model Evaluation via Matrix Entropy. - Lai Wei 005; Zhiquan Tan; Chenghai Li; Jindong Wang 001; Weiran Huang 001 (CoRR, 2024)

The Information of Large Language Model Geometry. - Zhiquan Tan; Chenghai Li; Weiran Huang 001 (CoRR, 2024)

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models. - Zhiquan Tan; Lai Wei 005; Jindong Wang 001; Xing Xie 001; Weiran Huang 001 (CoRR, 2024)

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training. - Kun Song 004; Zhiquan Tan; Bochao Zou; Jiansheng Chen; Huimin Ma 001; Weiran Huang 001 (CoRR, 2024)

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy. - Hong Li 015; Zhiquan Tan; Xingyu Li; Weiran Huang 001 (CoRR, 2024)

SEAL: Simultaneous Label Hierarchy Exploration And Learning. - Zhiquan Tan; Zihao Wang; Yifan Zhang (Trans. Mach. Learn. Res., 2024)

Information-Theoretic Perspectives on Optimizers. - Zhiquan Tan; Weiran Huang 001 (CoRR, 2025)

Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel With Burst and Random Erasures. - Dingli Yuan; Zhiquan Tan; Zhongyi Huang (IEEE Trans. Commun., 2025)

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization. - Duo Liu; Zhiquan Tan; Linglan Zhao; Zhongqiang Zhang; Xiangzhong Fang; Weiran Huang 001 (CoRR, 2025)