Sheng Gao

Short Bio

Sheng Gao is currently a Professor and a Ph.D. Supervisor in the School of Information at Central University of Finance and Economics (CUFE), Beijing, China. He received a Ph.D. degree in computer science and technology from Xidian University, Xi'an, China, in 2014. From 2022 to 2023, he was a Visiting Professor at the National University of Singapore. He has authored or co-authored over 5 books and published over 60 papers in peer-reviewed journals and conferences, including IEEE TIFS, TSC, TCC, TVT, TII, ACM TOMM, etc. His current research interests are regarding the security and privacy issues of Blockchains, Federated Learning, and Large Language Models.

高胜，中央财经大学信息学院教授、博士生导师。西安电子科技大学博士、新加坡国立大学计算机学院访问教授。国家重点研发计划青年科学家项目首席、中央财经大学龙马青年学者。现主要从事区块链、联邦计算、大模型安全等研究。主持了国家重点研发计划青年科学家项目、国家自然科学基金2项、北京市自然科学基金面上专项（结题优秀）、北京市社会科学基金青年项目（结题优秀）、北京高校高精尖创新中心项目、国家统计局全国统计科学重大项目等。在ACM/IEEE Trans.，中国科学等权威期刊/会议公开发表论文60余篇，其中CCF推荐A类或ACM/IEEE汇刊20余篇。授权国家技术发明专利17项。出版学术专著2部、主编《区块链技术与实践》（“十三五”国家重点出版物出版规划项目）、《区块链技术与应用》等教材。担任中国计算机学会（CCF）高级会员、CCF区块链专委会/计算经济专业组执行委员、中国密码学会区块链专委会委员、中国保密协会隐私保护专委会委员等，以及《网络与信息安全学报》《工程科学与技术》《Data Science and Management》等期刊青年编委以及ICBCT'23/22 TPC Co-Chair, INFOCOM'20 Workshop on EdgeBlock, Metaverse'22, PST'22, AsiaJCIS'22/21等数十个国际会议组委会成员。相关成果曾获得2013年度教育部科技进步一等奖，2021年度广东省电子信息行业科学技术三等奖, CCF CBC2018大会唯一最佳论文奖等。

I am always looking for Ph.D./M.S. students to join exciting research projects on Blockchain, Federated Computing, and LLMs! If you are interested, please send me your CV, Transcripts, and Publications (if any) for opportunities.

Research Interests

Blockchain
Smart Contract
Federated Computing
Large Language Models

Selected Publications

(*) is used to denote the Corresponding Author

TIFS

Sheng Gao*, Jianfeng Ma, Weisong Shi, Guoxing Zhan, and Cong Sun. TrPF: A Trajectory Privacy-Preserving Framework for Participatory Sensing. IEEE Transactions on Information Forensics and Security, vol. 8, no. 6, pp.874–887, 2013.

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TIFS

Sheng Gao*, Jingjie Luo, Jianming Zhu, Xuewen Dong, and Weisong Shi. VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning. IEEE Transactions on Information Forensics and Security, vol. 18, no. 6, pp.3760–3773, 2023.

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TSC

Sheng Gao*, Xiuhua Chen, Jianming Zhu, Xuewen Dong, and Jianfeng Ma. TrustWorker: A Trustworthy and Privacy-Preserving Worker Selection Scheme for Blockchain-Based Crowdsensing. IEEE Transactions on Services Computing, vol. 15, no. 6, pp.3577–3590, 2022.

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SCIS

Sheng Gao*, Xindi Ma, Jianming Zhu, and Jianfeng Ma. APRS: a privacy-preserving location-aware recommender system based on differentially private histogram. Science China Information Sciences, vol. 60, no. 9, pp.3577–3590, 2017.

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TVT

Sheng Gao*, Guirong Piao, Jianming Zhu, Xindi, and Jianfeng Ma. TrustAccess: A Trustworthy Secure Ciphertext-Policy and Attribute Hiding Access Control Scheme Based on Blockchain. IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp.5784–5798, 2020.

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TCC

Sheng Gao*, Yuqi Chen, Jianming Zhu, Zhiyuan Sui, Rui Zhang, and Xindi Ma*. BPMS: Blockchain-based Privacy-preserving Multi-keyword Search in Multi-owner Setting.IEEE Transactions on Cloud Computing, pp.1–13, 2022.

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TOMM

Qinnan Zhang, Zehui Xiong*, Jianming Zhu, Sheng Gao*, Wanting Yang. A Privacy-preserving Auction Mechanism for Learning Model as an NFT in Blockchain-Driven Metaverse. ACM Transactions on Multimedia Computing, Communications, and Applications, 2023.

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TII

Qianqian Su, Rui Zhang*, Rui Xue, You Sun, Sheng Gao*. Distributed Attribute-Based Signature With Attribute Dynamic Update for Smart Grid. IEEE Transactions on Industrial Informatics, vol. 19, no. 9, pp.9424–9435, 2023.

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TII

Xuewen Dong, Wen Zhang, Yushu Zhang, Zhichao You, Sheng Gao*, Yulong Shen*, and Chao Wang. Optimizing Task Location Privacy in Mobile Crowdsensing Systems. IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp.2762–2772, 2022.

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IoTJ

Xindi Ma, Baopu Li, Qi Jiang, Yimin Chen, Sheng Gao*, Jianfeng Ma. NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack. IEEE Internet of Things Journal, vol. 9, no. 9, pp.6778–6789, 2022.

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