Haochuan Li
10 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Computer Vision
(2)
Architectures
(2)
Generation
(2)
Models
(2)
Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
gradient descent
(4)
stationary point
(3)
non-convex optimization
(2)
convergence analysis
(2)
text-to-image generation
(2)
minimax optimization
(2)
deep neural network
(2)
convergence rate
(2)
large multimodal model
(2)
extragradient method
(2)
stochastic optimization
(2)
neural network optimization
(2)
iterative refinement
(1)
image retrieval
(1)
neural tangent kernel
(1)
adversarial training
(1)
dynamical system
(1)
robust optimization
(1)
convergence guarantee
(1)
diffusion model
(1)
Papers
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation
CVPR 2025
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
ICLR 2025
Convergence of Adam Under Relaxed Assumptions
NeurIPS 2023
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
ICML 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
NeurIPS 2022
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
NeurIPS 2021
Convergence of Adversarial Training in Overparametrized Neural Networks
NeurIPS 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
ICML 2019