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Zishuo Cheng
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2020 – today
- 2024
 [j8]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 [j8]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 , Richard C. Page , Walt Fast , Walt Fast , Robert A. Bonomo , Robert A. Bonomo , Maria Weese, Waldyn G. Martinez, James Inglese , Maria Weese, Waldyn G. Martinez, James Inglese , Michael W. Crowder , Michael W. Crowder : :
 Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase. J. Chem. Inf. Model. 64(10): 3977-3991 (2024)
- 2023
 [j7]Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique [j7]Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique , Sheng Shen , Sheng Shen : :
 Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation. Inf. 14(11): 597 (2023)
 [j6]Zishuo Cheng [j6]Zishuo Cheng , Tianqing Zhu , Tianqing Zhu , Congcong Zhu, Dayong Ye, Wanlei Zhou , Congcong Zhu, Dayong Ye, Wanlei Zhou , Philip S. Yu , Philip S. Yu : :
 Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. 282: 111076 (2023)
 [j5]Tianqing Zhu [j5]Tianqing Zhu , Dayong Ye , Dayong Ye , Zishuo Cheng, Wanlei Zhou, Philip S. Yu , Zishuo Cheng, Wanlei Zhou, Philip S. Yu : :
 Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2410-2422 (2023)
 [j4]Congcong Zhu [j4]Congcong Zhu , Zishuo Cheng , Zishuo Cheng , Dayong Ye , Dayong Ye , Farookh Khadeer Hussain, Tianqing Zhu , Farookh Khadeer Hussain, Tianqing Zhu , Wanlei Zhou , Wanlei Zhou : :
 Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems. IEEE Trans. Veh. Technol. 72(7): 8459-8470 (2023)
 [c2]Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou: [c2]Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou:
 Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. AINA (3) 2023: 48-59
- 2022
 [j3]Zishuo Cheng [j3]Zishuo Cheng , Dayong Ye , Dayong Ye , Tianqing Zhu , Tianqing Zhu , Wanlei Zhou , Wanlei Zhou , Philip S. Yu , Philip S. Yu , Congcong Zhu: , Congcong Zhu:
 Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. 37(1): 799-828 (2022)
 [j2]Tianqing Zhu [j2]Tianqing Zhu , Wei Zhou , Wei Zhou , Dayong Ye , Dayong Ye , Zishuo Cheng, Jin Li , Zishuo Cheng, Jin Li : :
 Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning. IEEE Internet Things J. 9(2): 1414-1426 (2022)
 [j1]Dayong Ye [j1]Dayong Ye , Tianqing Zhu , Tianqing Zhu , Zishuo Cheng, Wanlei Zhou , Zishuo Cheng, Wanlei Zhou , Philip S. Yu , Philip S. Yu : :
 Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52(6): 5508-5521 (2022)
 [c1]Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou: [c1]Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
 Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. AI 2022: 15-26
- 2020
 [i1]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu: [i1]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
 Differential Advising in Multi-Agent Reinforcement Learning. CoRR abs/2011.03640 (2020)
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