Hui Yuan
15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12)
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Conference Polyglot
(7)
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Academic Marathon
(5)
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Century Club
(15)
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Conferences
NIPS (5)
ICML (3)
AAAI (2)
CVPR (2)
AISTATS (1)
COLT (1)
ICLR (1)
Top co-authors
Keywords
3d reconstruction
(2)
bayesian regret
(2)
diffusion model
(2)
mean estimation
(2)
bayesian optimization
(2)
single-sample distribution
(2)
point cloud
(1)
markov decision process
(1)
offline reinforcement learning
(1)
deep learning
(1)
neural rendering
(1)
gaussian process
(1)
diffusion process
(1)
dense correspondence
(1)
parameter estimation
(1)
off-policy learning
(1)
sequence optimization
(1)
feature embedding
(1)
linear regression
(1)
reward function
(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 LLMs’ 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
NIPS 2024
MaxMin-RLHF: Alignment with Diverse Human Preferences
ICML 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
AAAI 2024
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NIPS 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
NIPS 2023
Global Structure-Aware Diffusion Process for Low-light Image Enhancement
NIPS 2023
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NIPS 2022
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
CVPR 2021
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model
COLT 2020
Learning Entangled Single-Sample Distributions via Iterative Trimming
AISTATS 2020
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
AAAI 2020