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ORCIDSheng Shen 0005
Person information
- affiliation: University of Sydney, School of Electrical and Information Engineering, NSW, Australia
Other persons with the same name
- Sheng Shen 0001 — University of California Berkeley, CA, USA (and 1 more)
- Sheng Shen 0002 — University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Sheng Shen 0003 — Fuzhou University, College of Civil Engineering, China (and 1 more)
- Sheng Shen 0004 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Sheng Shen 0006 — eBay (and 3 more)
- Sheng Shen 0007 — Bell Laboratories, Lucent Technologies, Inc., Holmdel, NJ, USA
- Sheng Shen 0008 — Fudan University, Zhongshan Hospital, Department of General Surgery, Shanghai, China
- Sheng Shen 0009
![[0000-0002-4320-2732]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4320-2732")
— Massachusetts General Hospital, Department of Radiology, Charlestown, MA, USA (and 1 more) - Sheng Shen 0010 — Tianjin University, School of Electrical and Information Engineering, China
- Sheng Shen 0011 — Yanshan University, School of Information Science and Engineering, Qinhuangdao, China
- Sheng Shen 0012 — China Three Gorges University, College of Computer and Information Technology, Yichang, China
- Sheng Shen 0013 — Beijing Institute of Control and Electronic Technology, China
- Sheng Shen 0014 — Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China
- Sheng Shen 0015 — Columbia University, New York, NY, USA
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2020 – today
- 2024
[j11]Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu:
A GNN-based teacher-student framework with multi-advice. Expert Syst. Appl. 250: 123887 (2024)- [j10]Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Privacy preservation in deep reinforcement learning: A training perspective. Knowl. Based Syst. 304: 112558 (2024) - [j9]Sheng Shen, Chi Liu, Teng Joon Lim:
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach. IEEE Trans. Knowl. Data Eng. 36(12): 8220-8237 (2024) - [c6]Sheng Shen, Teng Joon Lim:
Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces. VTC Spring 2024: 1-7 - 2023
- [j8]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New challenges in reinforcement learning: a survey of security and privacy. Artif. Intell. Rev. 56(7): 7195-7236 (2023) - [j7]Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen:
Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation. Inf. 14(11): 597 (2023) - [c5]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI 2023: 464-472 - [c4]Sili Wu, Sheng Shen, Phee Lep Yeoh, Teng Joon Lim:
Wireless Decentralized Federated Learning with Energy-Constrained Clients. WF-IoT 2023: 1-6 - [i7]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR abs/2301.00188 (2023) - [i6]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR abs/2306.01364 (2023) - [i5]Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou:
Reinforcement Unlearning. CoRR abs/2312.15910 (2023) - 2022
- [j6]Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou:
A novel differentially private advising framework in cloud server environment. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j5]Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou:
From distributed machine learning to federated learning: In the view of data privacy and security. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j4]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19(2): 1212-1226 (2022) - [j3]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1466-1480 (2022) - [i4]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR abs/2203.06580 (2022) - 2021
- [j2]Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong:
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110: 102446 (2021) - [j1]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. IEEE Trans. Inf. Forensics Secur. 16: 569-584 (2021) - 2020
- [c3]Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren:
Model Poisoning Defense on Federated Learning: A Validation Based Approach. NSS 2020: 207-223 - [i3]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. CoRR abs/2008.05629 (2020) - [i2]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR abs/2008.06832 (2020) - [i1]Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou:
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security. CoRR abs/2010.09258 (2020)
2010 – 2019
- 2019
- [c2]Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou:
Simultaneously Advising via Differential Privacy in Cloud Servers Environment. ICA3PP (1) 2019: 550-563 - [c1]Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen:
Differential Privacy Preservation for Smart Meter Systems. ICA3PP (1) 2019: 669-685
Coauthor Index
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