Sheng Shen

According to our database, Sheng Shen authored at least 26 papers between 2019 and 2026.

Collaborative distances:

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

2026

Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment.

Liwen Yu, Chi Liu, Xiaotong Han, Congcong Zhu, Minghao Wang, Sheng Shen

CoRR, April, 2026

Fundus Image-based Glaucoma Screening via Retinal Knowledge-Oriented Dynamic Multi-Level Feature Integration.

Yuzhuo Zhou, Chi Liu, Sheng Shen, Zongyuan Ge, Fengshi Jing, Shiran Zhang, Yu Jiang, Anli Wang, Wenjian Liu, Feilong Yang, Tianqing Zhu, Xiaotong Han

CoRR, April, 2026

Are LLMs Ready for Computer Science Education? A Cross-Domain, Cross-Lingual and Cognitive-Level Evaluation Using Professional Certification Exams.

Chen Gao, Chi Liu, Zhengquan Luo, Dongfu Xiao, Maiying Sui, Sheng Shen, Congcong Zhu, Huajie Chen, Xuhan Zuo, Zongyuan Ge, Tianqing Zhu, Wanlei Zhou, Xiaotong Han

CoRR, April, 2026

Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method.

Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Reinforcement Unlearning.

Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration.

Yuzhuo Zhou, Chi Liu, Sheng Shen, Siyu Le, Liwen Yu, Sihan Ouyang, Zongyuan Ge

Proceedings of the Knowledge Science, Engineering and Management, 2025

Can LLMs Assist Computer Education? An Empirical Case Study of DeepSeek.

Dongfu Xiao, Chen Gao, Zhengquan Luo, Chi Liu, Sheng Shen

Proceedings of the Knowledge Science, Engineering and Management, 2025

Robust AI-Synthesized Image Detection via Multi-feature Frequency-Aware Learning.

Hongfei Cai, Chi Liu, Sheng Shen, Youyang Qu, Peng Gui

Proceedings of the Knowledge Science, Engineering and Management, 2025

2024

Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach.

Sheng Shen, Chi Liu, Teng Joon Lim

IEEE Trans. Knowl. Data Eng., December, 2024

Privacy preservation in deep reinforcement learning: A training perspective.

Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou

Knowl. Based Syst., 2024

A GNN-based teacher-student framework with multi-advice.

Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu

Expert Syst. Appl., 2024

Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces.

Sheng Shen, Teng Joon Lim

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

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

Reinforcement Unlearning.

Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou

CoRR, 2023

New challenges in reinforcement learning: a survey of security and privacy.

Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou

Artif. Intell. Rev., 2023

Wireless Decentralized Federated Learning with Energy-Constrained Clients.

Sili Wu, Sheng Shen, Phee Lep Yeoh, Teng Joon Lim

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation.

Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.

Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2022

Differentially Private Multi-Agent Planning for Logistic-Like Problems.

Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu

IEEE Trans. Dependable Secur. Comput., 2022

A novel differentially private advising framework in cloud server environment.

Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou

Concurr. Comput. Pract. Exp., 2022

From distributed machine learning to federated learning: In the view of data privacy and security.

Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou

Concurr. Comput. Pract. Exp., 2022

2021

A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.

Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou

IEEE Trans. Inf. Forensics Secur., 2021

An optimized differential privacy scheme with reinforcement learning in VANET.

Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong

Comput. Secur., 2021

2020

Model Poisoning Defense on Federated Learning: A Validation Based Approach.

Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren

Proceedings of the Network and System Security - 14th International Conference, 2020

2019

Differential Privacy Preservation for Smart Meter Systems.

Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Simultaneously Advising via Differential Privacy in Cloud Servers Environment.

Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019