Gradient Descent Finds Global Minima of Deep Neural Networks. - Simon S. Du; Jason D. Lee; Haochuan Li; Liwei Wang 001; Xiyu Zhai (ICML, 2019)

Convergence of Adversarial Training in Overparametrized Neural Networks. - Ruiqi Gao; Tianle Cai; Haochuan Li; Cho-Jui Hsieh; Liwei Wang 001; Jason D. Lee (NeurIPS, 2019)

Convergence of Adversarial Training in Overparametrized Networks. - Ruiqi Gao; Tianle Cai; Haochuan Li; Liwei Wang 001; Cho-Jui Hsieh; Jason D. Lee (CoRR, 2019)

Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. - Haochuan Li; Yi Tian; Jingzhao Zhang; Ali Jadbabaie (NeurIPS, 2021)

On Convergence of Training Loss Without Reaching Stationary Points. - Jingzhao Zhang; Haochuan Li; Suvrit Sra; Ali Jadbabaie (CoRR, 2021)

Byzantine-Robust Federated Linear Bandits. - Ali Jadbabaie; Haochuan Li; Jian Qian; Yi Tian (CDC, 2022)

On Convergence of Gradient Descent Ascent: A Tight Local Analysis. - Haochuan Li; Farzan Farnia; Subhro Das; Ali Jadbabaie (ICML, 2022)

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. - Jingzhao Zhang; Haochuan Li; Suvrit Sra; Ali Jadbabaie (ICML, 2022)

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. - Pouria Mahdavinia; Yuyang Deng; Haochuan Li; Mehrdad Mahdavi (NeurIPS, 2022)

Convex and Non-convex Optimization Under Generalized Smoothness. - Haochuan Li; Jian Qian; Yi Tian; Alexander Rakhlin; Ali Jadbabaie (NeurIPS, 2023)

Convergence of Adam Under Relaxed Assumptions. - Haochuan Li; Alexander Rakhlin; Ali Jadbabaie (NeurIPS, 2023)

Unified Text-to-Image Generation and Retrieval. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2024)

Smoothness and Adaptivity in Nonlinear Optimization for Machine Learning Applications - Haochuan Li (2024)

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. - Leigang Qu; Haochuan Li; Wenjie Wang 007; Xiang Liu 017; Juncheng Li 006; Liqiang Nie; Tat-Seng Chua (CVPR, 2025)

Variance-reduced Clipping for Non-convex Optimization. - Amirhossein Reisizadeh; Haochuan Li; Subhro Das; Ali Jadbabaie (ICASSP, 2025)

TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. - Leigang Qu; Haochuan Li; Tan Wang; Wenjie Wang 007; Yongqi Li 001; Liqiang Nie; Tat-Seng Chua (ICLR, 2025)