Li, Haochuan

10 publications

CVPR 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
ICLR 2025 TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
NeurIPS 2023 Convergence of Adam Under Relaxed Assumptions Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
NeurIPS 2023 Convex and Non-Convex Optimization Under Generalized Smoothness Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, 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 On Convergence of Gradient Descent Ascent: A Tight Local Analysis Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
NeurIPS 2022 Tight Analysis of Extra-Gradient and Optimistic Gradient Methods for Nonconvex Minimax Problems Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
NeurIPS 2021 Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
NeurIPS 2019 Convergence of Adversarial Training in Overparametrized Neural Networks Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason Lee
ICML 2019 Gradient Descent Finds Global Minima of Deep Neural Networks Simon Du, Jason Lee, Haochuan Li, Liwei Wang, Xiyu Zhai