Hui Yuan
15 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Analysis
(3)
Learning Types
(3)
Models
(3)
Reinforcement Learning
(2)
Methods
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
diffusion model
(3)
single-sample distribution
(2)
mean estimation
(2)
bayesian optimization
(2)
generative model
(2)
3d reconstruction
(2)
bayesian regret
(2)
mathematical reasoning
(1)
parameter estimation
(1)
offline reinforcement learning
(1)
depth estimation
(1)
feature embedding
(1)
language model alignment
(1)
neural rendering
(1)
point cloud
(1)
gaussian process
(1)
robustness
(1)
markov decision process
(1)
reinforcement learning from human feedback
(1)
expectation maximization
(1)
Papers
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
ICLR 2025
A First-order Generative Bilevel Optimization Framework for Diffusion Models
ICML 2025
MATH-Perturb: Benchmarking LLMsβ Math Reasoning Abilities against Hard Perturbations
ICML 2025
MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
CVPR 2025
Gradient Guidance for Diffusion Models: An Optimization Perspective
NeurIPS 2024
MaxMin-RLHF: Alignment with Diverse Human Preferences
ICML 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
AAAI 2024
Global Structure-Aware Diffusion Process for Low-light Image Enhancement
NeurIPS 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
NeurIPS 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NeurIPS 2023
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NeurIPS 2022
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
CVPR 2021
Learning Entangled Single-Sample Distributions via Iterative Trimming
AISTATS 2020
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model
COLT 2020
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
AAAI 2020