Guangzheng Hu

14 papers A* 2B 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Logics-Parsing-Omni Technical Report.
CoRR
Xin An, Jingyi Cai, Xiangyang Chen, Huayao Liu, Peiting Liu, Peng Wang, Bei Yang, Xiuwen Zhu, Yongfan Chen, Yan Gao, Yuan Gao, Baoyu Hou, Guangzheng Hu, Shuzhao Li, Weixu Qiao, Weidong Ren, Yanan Wang, Boyu Yang, Fan Yang, Jiangtao Zhang, Lixin Zhang, Lin Qu, Hu Wei, Xiaoxiao Xu, Bing Zhao
2025 A* conf
Learning Imbalanced Data with Beneficial Label Noise.
ICML
Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng
2025 J jnl
NeuronsGym: A Hybrid Framework and Benchmark for Robot Navigation With Sim2Real Policy Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Haoran Li, Guangzheng Hu, Shasha Liu, Mingjun Ma, Yaran Chen, Dongbin Zhao
2024 J jnl
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.
CoRR
Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2024 J jnl
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.
IEEE Trans. Emerg. Top. Comput. Intell.
Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao
2023 J jnl
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2023 J jnl
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR
Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao
2023 B conf
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
IJCNN
Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
2023 J jnl
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
CoRR
Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao
2022 J jnl
Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests.
IEEE Trans Autom. Sci. Eng.
Huifang Li, Guangzheng Hu, Jianqiang Li, MengChu Zhou
2022 A* conf
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning.
SIGIR
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr
2022 J jnl
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning.
CoRR
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr
2020 J jnl
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR
Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao
2018 J jnl
A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis.
Comput. Ind.
Guangzheng Hu, Huifang Li, Yuanqing Xia, Lixuan Luo