Recognition of Chinese Sign Language Based on Dynamic Features Extracted by Fast Fourier Transform. - Zhengchao Zhang; Xiankang Qin; Xiaocong Wu; Feng Wang; Zhiyong Yuan (PCM (2), 2016)

Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism. - Zhengchao Zhang; Meng Li 017; Xi Lin 002; Yinhai Wang; Fang He (CoRR, 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)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

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)

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. - Ke Zhang; Meng Li 017; Zhengchao Zhang; Xi Lin 002; Fang He (CoRR, 2020)

Research on The Application of Intelligent Locks in The Field of Electric Power. - Jie Liu; Xianshun Guo; Guangliang Chen; Zhengchao Zhang; Zheng Wang; Xingwei Chen (ICITEE, 2022)

Sample extraction and expansion method with feature reconstruction and deformation information. - Zhengchao Zhang; Hongbin Wang 001; Nianbin Wang (Appl. Intell., 2022)

A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. - Mingzhe Xing; Hangyu Mao; Shenglin Yin; Lichen Pan; Zhengchao Zhang; Zhen Xiao; Jieyi Long (KDD, 2023)

Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information. - Zhengchao Zhang; Meng Li 017 (IEEE Trans. Intell. Transp. Syst., 2023)

A Quality Assessment Method of Few-Shot Datasets Based on the Fusion of Quantity and Quality. - Zhengchao Zhang; Lianke Zhou; Junzheng Sun; Nianbin Wang (PRICAI (1), 2024)

The meta-learning method for the ensemble model based on situational meta-task. - Zhengchao Zhang; Lianke Zhou; Yuyang Wu; Nianbin Wang (Frontiers Neurorobotics, 2024)

A data-fusion spatiotemporal matrix factorization approach for citywide traffic flow estimation and prediction under insufficient detection. - Zhengchao Zhang; Meng Li 017 (Inf. Fusion, 2025)