← Authors

Yuhang Jiang

15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (12) ⚑ Prolific Year (6) πŸ’Ž Century Club (14) πŸ—ƒοΈ Keyword Collector (77)

Conferences

NIPS (5) AAAI (4) ICML (2) AACL (1) CVPR (1) IJCNLP (1) OSDI (1)

Top co-authors

Xiangyang Ji (12) Jianzhun Shao (9) Shuncheng He (6) Hongchang Zhang (6) Yun Qu (5) Boyuan Wang (3) Chang Liu (3) Shashank Gupta (2) Xuguang Ai (2) Ramakanth Kavuluru (2)

Keywords

multi-agent reinforcement learning (4) offline reinforcement learning (4) large language model (3) skill discovery (2) markov decision process (2) biomedical nlp (2) knowledge graph (2) policy learning (2) zero-shot learning (2) centralized training decentralized execution (2) relation extraction (2) partial observability (2) unsupervised reinforcement learning (2) weakly supervised learning (1) attention mechanism (1) embedding learning (1) similarity search (1) multi-task learning (1) reinforcement learning (1) computer vision (1)

Papers

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning AAAI 2025
A benchmark for end-to-end zero-shot biomedical relation extraction with LLMs: experiments with OpenAI models IJCNLP 2025
A benchmark for end-to-end zero-shot biomedical relation extraction with LLMs: experiments with OpenAI models AACL 2025
LLM-Empowered State Representation for Reinforcement Learning ICML 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning AAAI 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023
Complementary Attention for Multi-Agent Reinforcement Learning ICML 2023
Wasserstein Unsupervised Reinforcement Learning AAAI 2022
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning NIPS 2022
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NIPS 2022
State Deviation Correction for Offline Reinforcement Learning AAAI 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation CVPR 2020