Heng Dong
8 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Topic Evolution
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(5)
Reinforcement Learning
(4)
Applications
(4)
Deep Learning
(3)
Methods
(3)
Learning Types
(2)
Computer Vision
(1)
Machine Learning
(1)
Natural Language Processing
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
robot design
(2)
multi-agent reinforcement learning
(2)
point cloud registration
(1)
chain-of-thought reasoning
(1)
feature correspondence
(1)
robot control
(1)
policy improvement
(1)
out-of-domain generalization
(1)
optimization algorithm
(1)
motion control
(1)
robot morphology
(1)
supervised fine-tuning
(1)
evolutionary algorithm
(1)
credit assignment
(1)
symmetry learning
(1)
off-policy learning
(1)
geometric consistency
(1)
loss weighting
(1)
hyperbolic embedding
(1)
attention mechanism
(1)
Papers
Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
ACL 2026
Enhancing Decision-Making of Large Language Models via Actor-Critic
ICML 2025
GPI-Net: Gestalt-Guided Parallel Interaction Network via Orthogonal Geometric Consistency for Robust Point Cloud Registration
IJCAI 2025
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
ICLR 2024
Symmetry-Aware Robot Design with Structured Subgroups
ICML 2023
Low-Rank Modular Reinforcement Learning via Muscle Synergy
NeurIPS 2022
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
ICLR 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
ICML 2020