Yushun Zhang
7 papers · 2021–2026 · 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
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI · Artificial Intelligence
(3)
Architectures
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
adam optimizer
(2)
stochastic gradient descent
(2)
learning rate
(2)
reinforcement learning
(1)
convergence analysis
(1)
geometry problem solving
(1)
posterior sampling
(1)
neural network optimization
(1)
gradient descent
(1)
variance reduction
(1)
hidden layer
(1)
optimization landscape
(1)
hyperparameter tuning
(1)
human feedback
(1)
multimodal large language model
(1)
proximal policy optimization
(1)
randomized exploration
(1)
memory footprint
(1)
critical point
(1)
local minimum
(1)
Papers
GeoLaux: A Benchmark for Evaluating MLLMs’ Geometry Performance on Long-Step Problems Requiring Auxiliary Lines
ACL 2026
Adam-mini: Use Fewer Learning Rates To Gain More
ICLR 2025
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
ICML 2024
Why Transformers Need Adam: A Hessian Perspective
NeurIPS 2024
Adam Can Converge Without Any Modification On Update Rules
NeurIPS 2022
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
ICLR 2022
When Expressivity Meets Trainability: Fewer than n Neurons Can Work
NeurIPS 2021