Jiayu Chen
16 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6)
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Academic Marathon
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Cross-Pollinator
(9)
🌈
Renaissance Researcher
(6)
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Century Club
(12)
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Unstoppable
(5)
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Keyword Collector
(84)
Conferences
AAAI (6)
NIPS (3)
ICCV (2)
CONLL (1)
EMNLP (1)
ICML (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
multi-agent reinforcement learning
(4)
reinforcement learning
(3)
object detection
(3)
curriculum learning
(2)
policy learning
(2)
skill discovery
(2)
semantic segmentation
(1)
state abstraction
(1)
causal inference
(1)
multi-task learning
(1)
vision transformer
(1)
offline reinforcement learning
(1)
imitation learning
(1)
variational inference
(1)
image classification
(1)
robust optimization
(1)
hierarchical learning
(1)
graph laplacian
(1)
relation extraction
(1)
adversarial learning
(1)
Papers
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
AAAI 2026
DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning
AAAI 2026
Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract)
AAAI 2026
Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning
AAAI 2026
Variational Offline Multi-agent Skill Discovery
IJCAI 2025
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
UAI 2025
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data
EMNLP 2025
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
AAAI 2024
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis
AAAI 2024
Scale-Aware Modulation Meet Transformer
ICCV 2023
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
NIPS 2023
Detection Transformer with Stable Matching
ICCV 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
ICML 2023
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs
NIPS 2022
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
NIPS 2021
MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention
CONLL 2019