Zhengchao Zhang

Orcid: 0000-0001-6757-9449

According to our database1, Zhengchao Zhang authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The meta-learning method for the ensemble model based on situational meta-task.
Frontiers Neurorobotics, 2024

2023
Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information.
IEEE Trans. Intell. Transp. Syst., December, 2023

A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Sample extraction and expansion method with feature reconstruction and deformation information.
Appl. Intell., 2022

Research on The Application of Intelligent Locks in The Field of Electric Power.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach.
CoRR, 2020

Learning multi-agent communication with double attentional deep reinforcement learning.
Auton. Agents Multi Agent Syst., 2020

Learning Agent Communication under Limited Bandwidth by Message Pruning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing.
CoRR, 2019

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism.
CoRR, 2018

2016
Recognition of Chinese Sign Language Based on Dynamic Features Extracted by Fast Fourier Transform.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016


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