Cong Guan

According to our database, Cong Guan authored at least 21 papers between 2016 and 2025.

Collaborative distances:

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

2025

Open and real-world human-AI coordination by heterogeneous training with communication.

Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian, Yang Yu

Frontiers Comput. Sci., April, 2025

2024

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.

Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Quality-Diversity with Limited Resources.

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.

Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu

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

2023

DPGCN Model: A Novel Fault Diagnosis Method for Marine Diesel Engines Based on Imbalanced Datasets.

Ruihan Wang, Hui Chen, Cong Guan

IEEE Trans. Instrum. Meas., 2023

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.

Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu

CoRR, 2023

Efficient Human-AI Coordination via Preparatory Language-based Convention.

Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu

CoRR, 2023

Multi-agent Continual Coordination via Progressive Task Contextualization.

Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu

CoRR, 2023

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.

Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu

CoRR, 2023

Three-Phase Asynchronous Motor Fault Diagnosis Using Attention Mechanism and Hybrid CNN-MLP By Multi-Sensor Information.

Yi Zhou, Qianming Shang, Cong Guan

IEEE Access, 2023

Fast Teammate Adaptation in the Presence of Sudden Policy Change.

Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Learning to Coordinate with Anyone.

Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.

Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu

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

2022

A Leader-Following Consensus Problem Via a Distributed Observer and Fuzzy Input-to-Output Small-Gain Theorem.

Zhenghong Jin, Zhengyan Qin, Xuefeng Zhang, Cong Guan

IEEE Trans. Control. Netw. Syst., 2022

Adaptive Privacy-Preserving Federated Learning for Fault Diagnosis in Internet of Ships.

Zehui Zhang, Cong Guan, Hui Chen, Xiangguo Yang, Wenfeng Gong, Ansheng Yang

IEEE Internet Things J., 2022

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.

Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu

CoRR, 2022

Efficient Multi-agent Communication via Self-supervised Information Aggregation.

Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Agent Concentrative Coordination with Decentralized Task Representation.

Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

Real-Time Optimization Energy Management Strategy for Fuel Cell Hybrid Ships Considering Power Sources Degradation.

Zehui Zhang, Cong Guan, Zhiyong Liu

IEEE Access, 2020

2019

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.

Wenfeng Gong, Hui Chen, Zehui Zhang, Meiling Zhang, Ruihan Wang, Cong Guan, Qin Wang

Sensors, 2019

2016

Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China.

Ranghu Wang, Shuwen Zhang, Luoman Pu, Jiuchun Yang, Chaobin Yang, Jing Chen, Cong Guan, Qing Wang, Dan Chen, Bolin Fu, Xuejia Sang

ISPRS Int. J. Geo Inf., 2016