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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