Zhiquan Tan

According to our database, Zhiquan Tan authored at least 30 papers between 2022 and 2026.

Collaborative distances:

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

2026

Self-Supervised On-Policy Distillation for Reasoning Language Models.

Zhiquan Tan, Yinrong Hong

CoRR, May, 2026

PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners.

Zhiquan Tan, Yinrong Hong

CoRR, April, 2026

From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents.

Shuoling Liu, Zhiquan Tan, Kun Yi, Hui Wu, Yihan Li, Jiangpeng Yan, Liyuan Chen, Kai Chen, Qiang Yang

CoRR, March, 2026

2025

A Theoretical Lens for RL-Tuned Language Models via Energy-Based Models.

Zhiquan Tan, Yinrong Hong

CoRR, December, 2025

Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models.

Yinrong Hong, Zhiquan Tan, Kai Hu

CoRR, October, 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., May, 2025

Information-Theoretic Perspectives on Optimizers.

Zhiquan Tan, Weiran Huang

CoRR, February, 2025

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization.

Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

SEAL: Simultaneous Label Hierarchy Exploration And Learning.

Zhiquan Tan, Zihao Wang, Yifan Zhang

Trans. Mach. Learn. Res., 2024

ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy.

Hong Li, Zhiquan Tan, Xingyu Li, Weiran Huang

CoRR, 2024

Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training.

Kun Song, Zhiquan Tan, Bochao Zou, Jiansheng Chen, Huimin Ma, Weiran Huang

CoRR, 2024

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.

Zhiquan Tan, Lai Wei, Jindong Wang, Xing Xie, Weiran Huang

CoRR, 2024

The Information of Large Language Model Geometry.

Zhiquan Tan, Chenghai Li, Weiran Huang

CoRR, 2024

Large Language Model Evaluation via Matrix Entropy.

Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

CoRR, 2024

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models.

Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Matrix Information Theory for Self-Supervised Learning.

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provable Contrastive Continual Learning.

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OTMatch: Improving Semi-Supervised Learning with Optimal Transport.

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Information Flow in Self-Supervised Learning.

Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unveiling the Dynamics of Information Interplay in Supervised Learning.

Kun Song, Zhiquan Tan, Bochao Zou, Huimin Ma, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Learning is Spectral Clustering on Similarity Graph.

Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Coded Real Number Matrix Multiplication for On-Device Edge Computing.

Zhiquan Tan, Dingli Yuan, Yifan Zhang, Zhongyi Huang

IEEE Signal Process. Lett., 2023

Understanding Grokking Through A Robustness Viewpoint.

Zhiquan Tan, Weiran 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

Privacy-Preserving Polynomial Computing Over Distributed Data.

Zhiquan Tan, Dingli Yuan, Zhongyi Huang

CoRR, 2023

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning.

Yifan Zhang, Zhiquan Tan, Jingqin Yang, Yang Yuan

CoRR, 2023

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning.

Yifan Zhang, Jingqin Yang, Zhiquan Tan, Yang Yuan

CoRR, 2023

SEAL: Simultaneous Label Hierarchy Exploration And Learning.

Zhiquan Tan, Zihao Wang, Yifan Zhang

CoRR, 2023

Trade-off Between Efficiency and Consistency for Removal-based Explanations.

Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Data Integrity Check in Distributed Storage Systems.

Zhiquan Tan, Sian-Jheng Lin, Yunghsiang S. Han, Zhongyi Huang, Bo Bai, Gong Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2022