Jiayu Chen

18 papers · 2019–2026 · 9 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42)

🧬 Topic Evolution 🗃️ Keyword Collector (98) 💎 Century Club · Bronze 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive

Venues

AAAI (6) NeurIPS (3) ICCV (2) UAI (2) CoNLL (1) EMNLP (1) ICML (1) IJCAI (1) L4DC (1)

Top co-authors

Vaneet Aggarwal (6) Tian Lan (4) Jun Huang (3) Jiaming Song (2) Yan Li (2) Leong Hou U (2) Yu Wang (2) LianWen Jin (2) Huazhong Yang (2) Kaiyan Zhao (2)

Research topics

Machine Learning (12) Artificial Intelligence (10) Reinforcement Learning (10) Core AI (10) Methods (9) Deep Learning (7) Learning Types · Machine Learning (6) Applications (4) Architectures (3) Core Methods (3) Learning Types · Deep Learning (3) Computer Vision (2) Natural Language Processing (2) Analysis (2) Application Areas (2)

Keywords

multi-agent reinforcement learning (4) reinforcement learning (3) object detection (3) curriculum learning (2) policy learning (2) offline reinforcement learning (2) sample complexity (2) skill discovery (2) semantic segmentation (1) state abstraction (1) causal inference (1) multi-task learning (1) imitation learning (1) variational inference (1) vision transformer (1) image classification (1) robust optimization (1) hierarchical learning (1) natural policy gradient (1) graph laplacian (1)

Papers

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 Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control AAAI 2026 Offline Reinforcement Learning for Rotation Profile Control in Tokamaks L4DC 2026 On the Convergence of Self-Improving Online LLM Alignment UAI 2026 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 Variational Offline Multi-agent Skill Discovery IJCAI 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 A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process NeurIPS 2023 Detection Transformer with Stable Matching ICCV 2023 Multi-task Hierarchical Adversarial Inverse Reinforcement Learning ICML 2023 Scale-Aware Modulation Meet Transformer ICCV 2023 Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs NeurIPS 2022 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NeurIPS 2021 MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention CoNLL 2019