Selected Publications
Conferences
- Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model
Xinke Jiang, WentaoZhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo
AAAI2025(Oral):the 39th AAAI Conference on Artificial Intelligence
[arXiv] [Code] [bibTeX] - PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang and Jiangjin Yin
AAMAS2024(Oral):the 23rd International Conference on Autonomous Agents and Multi-Agent Systems
[arXiv] [Code] [bibTeX] - Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
CIKM2023(Poster):the 32nd ACM International Conference on Information and Knowledge Management
[Paper] [arXiv] [Code] [Poster] [bibTeX] - Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning
Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang
IJCNN2023(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning
Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang
IJCNN2023(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan
AAAI2023(Oral):the 37th AAAI Conference on Artificial Intelligence
[Paper] [arXiv] [Code] [bibTeX] - RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [arXiv] [Slides] [bibTeX]
- Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning
Guangkai Yang, Hao Chen, Junge Zhang, Qiyue Yin, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm
Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang
IJCNN2022(Oral):the 2022 International Joint Conference on Neural Networks
[Paper] [Slides] [bibTeX] - Layer-Wisely Supervised Learning for One-Shot Neural Architecture Search
Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang
IJCNN2022(Poster):the 2022 International Joint Conference on Neural Networks
[Paper] [bibTeX]
Journals
Workshop Papers
Pre-prints
- Multi-Channel Spatio-Temporal Data Fusion of Network-Wide “Big” and “Small” Flow Data
Tao Cheng, Hao Chen, Xianghui Zhang, Xiaowei Gao, Lu Yin, Jianbin Jiao
[Paper(SSRN)] - TC-RAG:Turing-Complete RAG’s Case study on Medical LLM Systems
Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
[arXiv] [Code] [bibTeX] - Transformer in Transformer as Backbone for Deep Reinforcement Learning
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
[arXiv] [Code] [bibTeX]
Patents
- Privacy-preserved Fully Decentralized Multi-agent Reinforcement Learning for Networked Social Systems
(多智能体通信方法、装置、存储介质和电子设备) CN: CN117579358A
Junge Zhang, Dan Qiao, Hao Chen
[Link] - Learning Stochastic Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
(多智能体信用分配方法、装置、可读存储介质和智能体) CN: CN115660110B
Junge Zhang, Mingyi Zhang, Guangkai Yang, Hao Chen, Kaiqi Huang, Dandan Chen, Lu Wang
[Link] [Link] [Link] - Learning Ensemble Credit Assignment for Multi-Agent Reinforcement Learning
(基于集成学习的多智能体信用分配方法、系统、设备) CN: CN115018017A
Junge Zhang, Kaiqi Huang, Hao Chen, Guangkai Yang
[Link] [Link] [Link]
