Weitong ZHANG
21 papers · 2020–2026 · 7 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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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Grand Slam
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Dynamic Duo
(11)
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Triple Crown
ποΈ
Keyword Collector
(90)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Renaissance Researcher
(6)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(11)
Learning Types
(8)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Reinforcement Learning
(5)
Methods
(5)
Models
(4)
Computer Vision
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Core Methods
(2)
Optimization
(2)
Resources & Methods
(2)
Keywords
diffusion model
(4)
reward-free exploration
(4)
sample complexity
(3)
linear mixture mdp
(3)
contextual bandit
(3)
regret bound
(3)
value-targeted regression
(2)
reward model
(2)
offline reinforcement learning
(1)
feature extraction
(1)
sample efficiency
(1)
policy gradient
(1)
image retrieval
(1)
function approximation
(1)
generative modeling
(1)
policy optimization
(1)
image reconstruction
(1)
imitation learning
(1)
reinforcement learning
(1)
direct preference optimization
(1)
Papers
Personalized Federated Training of Diffusion Models with Privacy Guarantees
CVPR 2026
Reinforcement Learning Without Explicit Rewards: Theory and Practice
AAAI 2026
Anyprefer: An Agentic Framework for Preference Data Synthesis
ICLR 2025
CREAM: Consistency Regularized Self-Rewarding Language Models
ICLR 2025
Energy-Weighted Flow Matching for Offline Reinforcement Learning
ICLR 2025
Image Generation Diversity Issues and How to Tame Them
CVPR 2025
Mesh4D: A Motion-Aware Multi-View Variational Autoencoder for 3D+t Mesh Reconstruction
MICCAI 2025
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
ICML 2025
Multi-Agent Reasoning for Cardiovascular Imaging Phenotype Analysis
MICCAI 2025
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time
EMNLP 2025
Achieving Constant Regret in Linear Markov Decision Processes
NeurIPS 2024
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
ICLR 2024
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
NeurIPS 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
ICML 2024
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
MICCAI 2024
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
ICML 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs
ICML 2023
Learning Neural Contextual Bandits through Perturbed Rewards
ICLR 2022
Neural Thompson Sampling
ICLR 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
NeurIPS 2021
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods
NeurIPS 2020