Consistent and Truthful Interpretation with Fourier Analysis. - Yifan Zhang 029; Haowei He; Yang Yuan 010 (CoRR, 2022)

Trade-off Between Efficiency and Consistency for Removal-based Explanations. - Yifan Zhang 029; Haowei He; Zhiquan Tan; Yang Yuan 010 (NeurIPS, 2023)

SEAL: Simultaneous Label Hierarchy Exploration And Learning. - Zhiquan Tan; Zihao Wang; Yifan Zhang 029 (CoRR, 2023)

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning. - Yifan Zhang 029; Jingqin Yang; Zhiquan Tan; Yang Yuan 010 (CoRR, 2023)

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning. - Yifan Zhang 029; Zhiquan Tan; Jingqin Yang; Yang Yuan 010 (CoRR, 2023)

Meta Prompting for AGI Systems. - Yifan Zhang 029 (CoRR, 2023)

Coded Real Number Matrix Multiplication for On-Device Edge Computing. - Zhiquan Tan; Dingli Yuan; Yifan Zhang 029; Zhongyi Huang (IEEE Signal Process. Lett., 2023)

Contrastive Learning is Spectral Clustering on Similarity Graph. - Zhiquan Tan; Yifan Zhang 029; Jingqin Yang; Yang Yuan 010 (ICLR, 2024)

Information Flow in Self-Supervised Learning. - Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010; Yifan Zhang 029 (ICML, 2024)

Matrix Information Theory for Self-Supervised Learning. - Yifan Zhang 029; Zhiquan Tan; Jingqin Yang; Weiran Huang 001; Yang Yuan 010 (ICML, 2024)

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts. - Yifan Zhang 029; Yifan Luo; Yang Yuan 010; Andrew Chi-Chih Yao (CoRR, 2024)

On the Diagram of Thought. - Yifan Zhang 029; Yang Yuan 010; Andrew Chi-Chih Yao (CoRR, 2024)

General Preference Modeling with Preference Representations for Aligning Language Models. - Yifan Zhang 029; Ge Zhang; Yue Wu; Kangping Xu; Quanquan Gu (CoRR, 2024)

Training and Evaluating Language Models with Template-based Data Generation. - Yifan Zhang 029 (CoRR, 2024)

Scaling Image Tokenizers with Grouped Spherical Quantization. - Jiangtao Wang; Zhen Qin; Yifan Zhang 029; Vincent Tao Hu; Björn Ommer; Rania Briq; Stefan Kesselheim (CoRR, 2024)

EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series. - Yicheng Pan 002; Yifan Zhang 029; Xinrui Jiang 001; Meng Ma 001; Ping Wang 003 (ACM Trans. Knowl. Discov. Data, 2024)

Augmenting Math Word Problems via Iterative Question Composing. - Haoxiong Liu; Yifan Zhang 029; Yifan Luo; Andrew C. Yao (AAAI, 2025)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts. - Yifan Zhang 029; Yifan Luo; Yang Yuan 010; Andrew C. Yao (ACL (Findings), 2025)

Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks. - Rui Hu; Yifan Zhang 029; Zhuoran Li; Longbo Huang (ICLR, 2025)

Tensor Product Attention Is All You Need. - Yifan Zhang 029; Yifeng Liu 004; Huizhuo Yuan; Zhen Qin; Yang Yuan 010; Quanquan Gu; Andrew C. Yao (NeurIPS, 2025)

Cumulative Reasoning with Large Language Models. - Yifan Zhang 029; Jingqin Yang; Yang Yuan 010; Andrew C. Yao (Trans. Mach. Learn. Res., 2025)

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning. - Yifan Zhang 029; Yifeng Liu 004; Huizhuo Yuan; Yang Yuan 010; Quanquan Gu; Andrew C. Yao (CoRR, 2025)

Group Representational Position Encoding. - Yifan Zhang 029; Zixiang Chen; Yifeng Liu 004; Zhen Qin; Huizhuo Yuan; Kangping Xu; Yang Yuan 010; Quanquan Gu; Andrew Chi-Chih Yao (CoRR, 2025)