Zishun Yu
9 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🏆
Grand Slam
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Reinforcement Learning
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Optimization
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Robotics
(1)
Application Areas
(1)
Architectures
(1)
Keywords
distribution shift
(2)
graph neural network
(2)
reinforcement learning
(2)
offline reinforcement learning
(2)
knowledge distillation
(1)
imitation learning
(1)
multi-agent reinforcement learning
(1)
graph matching
(1)
temporal difference learning
(1)
optimal transport
(1)
graph classification
(1)
code generation
(1)
program synthesis
(1)
markov decision process
(1)
message passing
(1)
policy optimization
(1)
stochastic process
(1)
online reinforcement learning
(1)
bilevel optimization
(1)
transformer architecture
(1)
Papers
Language Model Distillation: A Temporal Difference Imitation Learning Perspective
AAAI 2026
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
ICML 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
AAAI 2025
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
ICLR 2024
Offline Reward Perturbation Boosts Distributional Shift in Online RL
UAI 2024
Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs
ALT 2024
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
ICML 2023
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
NeurIPS 2022
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound
UAI 2022