Chenyang Wu
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Reinforcement Learning
(7)
Methods
(7)
Machine Learning
(6)
Learning Types
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Core AI
(2)
Models
(2)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Paradigms
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
offline reinforcement learning
(3)
partially observable markov decision process
(2)
action selection
(2)
online planning
(2)
policy optimization
(2)
policy gradient
(1)
black-box optimization
(1)
continual learning
(1)
in-context learning
(1)
exploration exploitation
(1)
token selection
(1)
regret minimization
(1)
value function
(1)
reproducing kernel hilbert space
(1)
motion estimation
(1)
value iteration
(1)
video generation
(1)
dynamic programming
(1)
video frame interpolation
(1)
reinforcement learning
(1)
Papers
VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation
AAAI 2026
YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal
CVPR 2026
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
ICML 2025
Reinforced In-Context Black-Box Optimization
IJCAI 2025
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
AAAI 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
IJCAI 2024
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
AAAI 2024
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
NeurIPS 2022
Adaptive Online Packing-guided Search for POMDPs
NeurIPS 2021
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)
AAAI 2021