Sheng Shen

30 papers A* 3B 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method.
AAAI
Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou
2025 — conf
Can LLMs Assist Computer Education? An Empirical Case Study of DeepSeek.
KSEM (2)
Dongfu Xiao, Chen Gao, Zhengquan Luo, Chi Liu, Sheng Shen
2025 — conf
Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration.
KSEM (2)
Yuzhuo Zhou, Chi Liu, Sheng Shen, Siyu Le, Liwen Yu, Sihan Ouyang, Zongyuan Ge
2025 A* conf
Reinforcement Unlearning.
NDSS
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue
2025 J jnl
Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method.
CoRR
Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou
2025 — conf
Robust AI-Synthesized Image Detection via Multi-feature Frequency-Aware Learning.
KSEM (1)
Hongfei Cai, Chi Liu, Sheng Shen, Youyang Qu, Peng Gui
2024 J jnl
A GNN-based teacher-student framework with multi-advice.
Expert Syst. Appl.
Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu
2024 J jnl
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach.
IEEE Trans. Knowl. Data Eng.
Sheng Shen, Chi Liu, Teng Joon Lim
2024 — conf
Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces.
VTC Spring
Sheng Shen, Teng Joon Lim
2024 J jnl
Privacy preservation in deep reinforcement learning: A training perspective.
Knowl. Based Syst.
Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2023 J jnl
Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation.
Inf.
Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen
2023 J jnl
New Challenges in Reinforcement Learning: A Survey of Security and Privacy.
CoRR
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
New challenges in reinforcement learning: a survey of security and privacy.
Artif. Intell. Rev.
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
Reinforcement Unlearning.
CoRR
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou
2023 J jnl
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation.
CoRR
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2023 A* conf
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation.
IJCAI
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2023 — conf
Wireless Decentralized Federated Learning with Energy-Constrained Clients.
WF-IoT
Sili Wu, Sheng Shen, Phee Lep Yeoh, Teng Joon Lim
2022 J jnl
A novel differentially private advising framework in cloud server environment.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou
2022 J jnl
Differentially Private Multi-Agent Planning for Logistic-Like Problems.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2022 J jnl
From distributed machine learning to federated learning: In the view of data privacy and security.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2022 J jnl
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2022 J jnl
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy.
CoRR
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2021 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2021 J jnl
An optimized differential privacy scheme with reinforcement learning in VANET.
Comput. Secur.
Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong
2020 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2020 J jnl
Differentially Private Multi-Agent Planning for Logistic-like Problems.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2020 J jnl
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security.
CoRR
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2020 B conf
Model Poisoning Defense on Federated Learning: A Validation Based Approach.
NSS
Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren
2019 — conf
Differential Privacy Preservation for Smart Meter Systems.
ICA3PP (1)
Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen
2019 — conf
Simultaneously Advising via Differential Privacy in Cloud Servers Environment.
ICA3PP (1)
Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou