Hao Chen

According to our database, Hao Chen authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks.

Pei Xu, Hao Chen, Wenjie Yang, Kaiqi Huang

IEEE Trans. Syst. Man Cybern. Syst., September, 2025

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, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Time Series Supplier Allocation via Deep Black-Litterman Model.

Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.

Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang

CoRR, 2024

SGCD: Subgroup Contribution Decomposition for Multi-Agent Reinforcement Learning.

Hao Chen, Bin Zhang, Guoliang Fan

Proceedings of the International Joint Conference on Neural Networks, 2024

GATE: Guided Contrastive State Space for Multi-agent Reinforcement Learning.

Hao Chen, Bin Zhang, Guoliang Fan

Proceedings of the Neural Information Processing - 31st International Conference, 2024

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, Jiangjin Yin

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning.

Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang

Proceedings of the International Joint Conference on Neural Networks, 2023

Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning.

Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning.

Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm.

Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning.

Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search.

Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation.

Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022