Jianhong Wang
16 papers · 2018–2025 · 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 (29) π Academic Marathon Β· Sprint π Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(86)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(13)
Machine Learning
(11)
Reinforcement Learning
(11)
Methods
(11)
Learning Types
(8)
Optimization & Theory
(5)
Mathematics & Optimization
(3)
Applications
(3)
Optimization
(3)
Computer Vision
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Analysis
(1)
Application Areas
(1)
Keywords
multi-agent reinforcement learning
(5)
switching control
(3)
cooperative game
(2)
game theory
(2)
sparse reward
(2)
adversarial training
(2)
out-of-distribution generalization
(1)
robust reinforcement learning
(1)
bayesian learning
(1)
policy learning
(1)
preference optimization
(1)
sim-to-real transfer
(1)
constraint optimization
(1)
constrained optimization
(1)
posterior distribution
(1)
hierarchical reinforcement learning
(1)
gradient descent
(1)
continuous control
(1)
optical flow
(1)
uncertainty quantification
(1)
Papers
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model
ACML 2025
Aligning Individual and Collective Objectives in Multi-Agent Cooperation
NeurIPS 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
AAAI 2024
Open Ad Hoc Teamwork with Cooperative Game Theory
ICML 2024
Invariant Learning via Probability of Sufficient and Necessary Causes
NeurIPS 2023
Learning to Shape Rewards Using a Game of Two Partners
AAAI 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems
ICML 2023
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
CoRL 2023
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
ICML 2022
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
ICLR 2022
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
NeurIPS 2022
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
ICLR 2021
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
NeurIPS 2021
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market
IJCAI 2021
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
AAAI 2020
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
NeurIPS 2018