ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning. - Hangyu Mao; Zhibo Gong; Yan Ni; Xiangyu Liu; Quanbin Wang; Weichen Ke; Chao Ma; Yiping Song; Zhen Xiao (CoRR, 2017)

RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks. - Qinliang Lin; Zhibo Gong; Qiaoling Wang; Jinlong Li (MLN, 2018)

Deep-Q: Traffic-driven QoS Inference using Deep Generative Network. - Shihan Xiao; Dongdong He; Zhibo Gong (NetAI@SIGCOMM, 2018)

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong (AAMAS, 2019)

Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. - Hangyu Mao; Zhibo Gong; Zhengchao Zhang; Zhen Xiao; Yan Ni (CoRR, 2019)

Learning Agent Communication under Limited Bandwidth by Message Pruning. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong; Yan Ni (AAAI, 2020)

Learning multi-agent communication with double attentional deep reinforcement learning. - Hangyu Mao; Zhengchao Zhang; Zhen Xiao; Zhibo Gong; Yan Ni (Auton. Agents Multi Agent Syst., 2020)

Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing. - Hangyu Mao; Zhibo Gong; Zhen Xiao (CoRR, 2020)

Underground Temperature Prediction Based on LSTM Neural Network and Embedded System Reasoning. - Jie Li; Mei Wang; Zhibo Gong; LiZhi Li (ISAIR (1), 2024)

Improved YOLOv8 Modeling for Earth Observation. - Haoyang Zhao; Mei Wang; Kangle Li; Kun Yang; Lizhi Li; Zhibo Gong (ISAIR (1), 2024)

Research on SwinT-SOLOv2 Modeling for Instance Segmentation. - YiFan Zhao; Mei Wang; Junjie Shi; Zhibo Gong (ISAIR (2), 2024)