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ORCIDZhengchao Zhang
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2020 – today
- 2024
[j4]Zhengchao Zhang, Lianke Zhou, Yuyang Wu, Nianbin Wang:
The meta-learning method for the ensemble model based on situational meta-task. Frontiers Neurorobotics 18 (2024)- [c7]Zhengchao Zhang, Lianke Zhou, Junzheng Sun, Nianbin Wang:
A Quality Assessment Method of Few-Shot Datasets Based on the Fusion of Quantity and Quality. PRICAI (1) 2024: 282-293 - 2023
- [j3]Zhengchao Zhang
, Meng Li:
Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information. IEEE Trans. Intell. Transp. Syst. 24(12): 14362-14377 (2023) - [c6]Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long:
A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. KDD 2023: 2776-2788 - 2022
- [j2]Zhengchao Zhang, Hongbin Wang, Nianbin Wang:
Sample extraction and expansion method with feature reconstruction and deformation information. Appl. Intell. 52(14): 15916-15928 (2022) - [c5]Jie Liu, Xianshun Guo, Guangliang Chen, Zhengchao Zhang, Zheng Wang, Xingwei Chen:
Research on The Application of Intelligent Locks in The Field of Electric Power. ICITEE 2022: 163-168 - 2020
- [j1]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning multi-agent communication with double attentional deep reinforcement learning. Auton. Agents Multi Agent Syst. 34(1): 32 (2020) - [c4]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. AAAI 2020: 5142-5149 - [c3]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI 2020: 7219-7226 - [i6]Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He:
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. CoRR abs/2002.05513 (2020)
2010 – 2019
- 2019
- [c2]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. AAMAS 2019: 1108-1116 - [i5]Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni:
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. CoRR abs/1903.05561 (2019) - [i4]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR abs/1912.01160 (2019) - [i3]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong, Yan Ni:
Learning Agent Communication under Limited Bandwidth by Message Pruning. CoRR abs/1912.05304 (2019) - 2018
- [i2]Zhengchao Zhang, Meng Li, Xi Lin, Yinhai Wang, Fang He:
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism. CoRR abs/1810.10237 (2018) - [i1]Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. CoRR abs/1811.07029 (2018) - 2016
- [c1]Zhengchao Zhang, Xiankang Qin, Xiaocong Wu, Feng Wang, Zhiyong Yuan:
Recognition of Chinese Sign Language Based on Dynamic Features Extracted by Fast Fourier Transform. PCM (2) 2016: 508-517
Coauthor Index
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