Wen, Zixin

7 publications

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

AISTATS 2025 Faster WIND: Accelerating Iterative Best-of-$n$ Distillation for LLM Alignment Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

NeurIPS 2025 Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization Yu Huang, Zixin Wen, Aarti Singh, Yuejie Chi, Yuxin Chen

ICMLW 2024 How Transformers Learn Diverse Attention Correlations in Masked Vision Pretraining Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang

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

NeurIPS 2022 The Mechanism of Prediction Head in Non-Contrastive Self-Supervised Learning Zixin Wen, Yuanzhi Li

ICML 2021 Toward Understanding the Feature Learning Process of Self-Supervised Contrastive Learning Zixin Wen, Yuanzhi Li