Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning. - Zixin Wen (CoRR, 2020)

Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning. - Zixin Wen; Yuanzhi Li (ICML, 2021)

Improving Multi-Modal Learning with Uni-Modal Teachers. - Chenzhuang Du; Tingle Li; Yichen Liu; Zixin Wen; Tianyu Hua; Yue Wang 041; Hang Zhao (CoRR, 2021)

The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning. - Zixin Wen; Yuanzhi Li (NeurIPS, 2022)

What Matters In The Structured Pruning of Generative Language Models? - Michael Santacroce; Zixin Wen; Yelong Shen; Yuanzhi Li (CoRR, 2023)

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. - Ruiqian Nai; Zixin Wen; Ji Li; Yuanzhi Li; Yang Gao (AAAI, 2024)

Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. - Yu Huang 023; Zixin Wen; Yuejie Chi; Yingbin Liang (CoRR, 2024)

Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. - Tong Yang 007; Jincheng Mei; Hanjun Dai; Zixin Wen; Shicong Cen; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (CoRR, 2024)

Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. - Tong Yang 007; Jincheng Mei; Hanjun Dai; Zixin Wen; Shicong Cen; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (AISTATS, 2025)

A Theoretical Analysis of Self-Supervised Learning for Vision Transformers. - Yu Huang 023; Zixin Wen; Yuejie Chi; Yingbin Liang (ICLR, 2025)