Haochuan Li - RankMe

26 papers A* 10Misc 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Research on an Improved VIC Model with Dynamic Simulation and Merging Capabilities. ICCMS Hai Hu, Jun Guo, Haochuan Li, Ziye Gu, Cong Cheng, Xu Peng, Miao Xiao, Zhenhan Deng
2025	A*	`conf`	SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CVPR Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
2025	A*	`conf`	TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models. ICLR Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
2025	Misc	`conf`	Variance-reduced Clipping for Non-convex Optimization. ICASSP Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
2024	J	`jnl`	SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CoRR Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
2024	—	`—`	Smoothness and Adaptivity in Nonlinear Optimization for Machine Learning Applications Haochuan Li
2024	J	`jnl`	Unified Text-to-Image Generation and Retrieval. CoRR Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
2023	A*	`conf`	Convergence of Adam Under Relaxed Assumptions. NeurIPS Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
2023	J	`jnl`	Convergence of Adam Under Relaxed Assumptions. CoRR Haochuan Li, Ali Jadbabaie, Alexander Rakhlin
2023	J	`jnl`	Convex and Non-Convex Optimization under Generalized Smoothness. CoRR Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
2023	A*	`conf`	Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
2023	J	`jnl`	Variance-reduced Clipping for Non-convex Optimization. CoRR Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
2022	—	`conf`	Byzantine-Robust Federated Linear Bandits. CDC Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
2022	J	`jnl`	Byzantine-Robust Federated Linear Bandits. CoRR Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
2022	A*	`conf`	Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
2022	A*	`conf`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	J	`jnl`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	A*	`conf`	Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. NeurIPS Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
2022	J	`jnl`	Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. CoRR Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
2021	A*	`conf`	Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. NeurIPS Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
2021	J	`jnl`	Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. CoRR Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
2021	J	`jnl`	On Convergence of Training Loss Without Reaching Stationary Points. CoRR Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
2019	J	`jnl`	Convergence of Adversarial Training in Overparametrized Networks. CoRR Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee
2019	A*	`conf`	Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee
2019	A*	`conf`	Gradient Descent Finds Global Minima of Deep Neural Networks. ICML Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
2018	J	`jnl`	Gradient Descent Finds Global Minima of Deep Neural Networks. CoRR Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai