Yuheng Zhang
15 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Grand Slam
ποΈ
Keyword Collector
(72)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Core AI
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Methods
(4)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Optimization
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Speech & Audio
(1)
Keywords
regret bound
(3)
feedback graph
(3)
preference learning
(2)
model inversion attack
(2)
off-policy evaluation
(2)
multi-agent reinforcement learning
(2)
contextual bandit
(2)
neural network
(2)
reinforcement learning from human feedback
(2)
offline reinforcement learning
(1)
autonomous driving
(1)
sample complexity
(1)
face recognition
(1)
3d occupancy prediction
(1)
representation learning
(1)
prototype learning
(1)
reinforcement learning
(1)
minimax optimization
(1)
temporal grounding
(1)
function approximation
(1)
Papers
ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction
CVPR 2026
TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding
ACL 2026
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
ICLR 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
ICLR 2025
Efficient Contextual Bandits with Uninformed Feedback Graphs
ICML 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
NeurIPS 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
NeurIPS 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward
NeurIPS 2024
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs
ALT 2023
Offline Learning in Markov Games with General Function Approximation
ICML 2023
Practical Contextual Bandits with Feedback Graphs
NeurIPS 2023
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
AAAI 2022
Improved Algorithms for Neural Active Learning
NeurIPS 2022
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
AAAI 2021
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
CVPR 2020