Yuhui Wang
19 papers · 2019–2026 · 8 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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🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Mega-Team · Squad
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Topic Evolution
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Grand Slam
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Conference Pioneer
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(10)
Reinforcement Learning
(9)
Learning Types · Machine Learning
(7)
Methods
(7)
Deep Learning
(5)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Applications · Reinforcement Learning
(3)
Optimization & Theory
(3)
Applications · Natural Language Processing
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Generation
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Resources & Methods
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Robotics
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Keywords
reinforcement learning
(6)
large language model
(4)
language model
(3)
proximal policy optimization
(2)
sequential decision making
(2)
deep reinforcement learning
(2)
skip connection
(2)
trust region
(2)
sample efficiency
(2)
value iteration network
(2)
bootstrapping
(2)
policy optimization
(2)
jailbreak attack
(2)
question answering
(1)
mathematical reasoning
(1)
neural network training
(1)
uncertainty quantification
(1)
temporal difference learning
(1)
belief propagation
(1)
instruction tuning
(1)
Papers
AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
ACL 2026
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
ACL 2026
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
AAAI 2026
VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
ACL 2026
Directly Forecasting Belief for Reinforcement Learning with Delays
ICML 2025
LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
EMNLP 2025
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
EMNLP 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
ICLR 2025
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
ICML 2025
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays
ICML 2024
Highway Value Iteration Networks
ICML 2024
Variational Delayed Policy Optimization
NeurIPS 2024
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
ICLR 2023
Learning to Identify Critical States for Reinforcement Learning from Videos
ICCV 2023
Deep Recurrent Belief Propagation Network for POMDPs
AAAI 2021
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
AAAI 2020
Truly Proximal Policy Optimization
UAI 2019
Trust Region-Guided Proximal Policy Optimization
NeurIPS 2019