Zishuo Cheng

According to our database, Zishuo Cheng authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase.

Zishuo Cheng, Mahesh Aitha, Caitlyn A. Thomas, Aidan Sturgill, Mitch Fairweather, Amy Hu, Christopher R. Bethel, Dann D. Rivera, Patricia Dranchak, Pei W. Thomas, Han Li, Qi Feng, Kaicheng Tao, Minshuai Song, Na Sun, Shuo Wang, Surendra Bikram Silwal, Richard C. Page, Walt Fast, Robert A. Bonomo, Maria Weese, Waldyn G. Martinez, James Inglese, Michael W. Crowder

J. Chem. Inf. Model., 2024

2023

Privacy and evolutionary cooperation in neural-network-based game theory.

Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu

Knowl. Based Syst., December, 2023

Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems.

Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou

IEEE Trans. Veh. Technol., July, 2023

Learning Games for Defending Advanced Persistent Threats in Cyber Systems.

Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation.

Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen

Inf., 2023

Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning.

Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou

Proceedings of the Advanced Information Networking and Applications, 2023

2022

Differential Advising in Multiagent Reinforcement Learning.

Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

IEEE Trans. Cybern., 2022

Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning.

Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li

IEEE Internet Things J., 2022

Multi-agent reinforcement learning via knowledge transfer with differentially private noise.

Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu

Int. J. Intell. Syst., 2022

Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces.

Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2020

Differential Advising in Multi-Agent Reinforcement Learning.

Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu

CoRR, 2020