Sheng Gao, 高 胜

Professor, Ph.D. Supervisor

School of Information

Central University of Finance and Economics

No.1 Shunsha Road, Shahe Section, Changping District, Beijing

Office: #7-219

Email: sgao555 [AT] 163.com


Short Biography

Sheng Gao is a Professor and Ph.D. Supervisor at the School of Information, Central University of Finance and Economics (CUFE), Beijing, China. He received his Ph.D. degree in computer science and technology from Xidian University, Xi'an, China, in 2014. From 2022 to 2023, he served as a Visiting Professor at the National University of Singapore. He has authored or co-authored over 5 books and published over 70 papers in peer-reviewed journals and conferences, including IEEE TIFS, TDSC, TSC, 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。目前担任国家重点研发计划青年科学家项目首席、入选全球前2%顶尖科学家榜单、中央财经大学“龙马计划”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、省部级基金项目4项等。在ACM/IEEE Trans.,中国科学等权威期刊/会议公开发表论文70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20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CCF杰出会员、CCF区块链专委会/计算经济学执行委员、中国电子学会区块链分会委员会委员、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《通信学报》《网络与信息安全学报》《网络空间安全科学学报》等期刊青年编委以及ICBCT'23/22 TPC Co-Chair, TrustLaw'25 Co-Chair, Metaverse'22, PST'22, AsiaJCIS'22/21, ACISP'26等数十个国际会议组委会成员。相关成果应用于国家级区块链设施“长安链”,所支撑平台通过北京国家金融科技认证中心的检测认证,获颁国家级“金融科技产品认证”。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、IEEE Software Popular 论文、知网学术精要高影响力论文等。


:bulb: 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.

Journal
  •    [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, 18, pp. 3760 - 3773, 2023. [CCF A] [PDF]
  •    [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, 8(6), pp. 874-887, 2013. [CCF A] [PDF]
  •    [TIFS] Shuai Zhao, Junying Zhang, Xindi Ma, Qi Jiang, Zhuo Ma, Sheng Gao, Zuobin Ying, and Jianfeng Ma. FedWiper: Federated Unlearning via Universal Adapter. IEEE Transactions on Information Forensics and Security, 20: 4042-4054, 2025. [CCF A] [PDF]
  •    [TDSC] Zhichao You, Xuewen Dong*, Ximeng Liu, Sheng Gao*, Yongzhi Wang, and Yulong Shen. Location Privacy Preservation Crowdsensing with Federated Reinforcement Learning. IEEE Transactions on Dependable and Secure Computing, 22(3): 1877-1894, 2025. [CCF A] [PDF]
  •    [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, 15(6): 3577-3590, 2022. [CCF A] [PDF]
  •    [TSC] Xindi Ma, Jianfeng Ma, Hui Li, Qi Jiang, and Sheng Gao. PDLM: Privacy-Preserving Deep Learning Model on Cloud with Multiple Keys. IEEE Transactions on Services Computing, 14(4): 1251-1263, 2021. [CCF A] [PDF]
  •    [TSE] Zhaoxuan Li, Siqi Lu, Rui Zhang, Rujin Liang, Ziming Zhao, Rui Xue, Wenhao Li, Fan Zhang, and Sheng Gao. VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning. IEEE Transactions on Software Engineering, 49(11): 4886-4916, 2023. [CCF A] [PDF]
  •    [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, 60(9): 119103, 2017. [CCF A] [PDF]
  •    [SCIS] Xindi Ma, Hui Li, Jianfeng Ma, Qi Jiang, Sheng Gao, Ning Xi, and Di Lu. APPLET: A Privacy-Preserving Framework for Location-Aware Recommender System. Science China Information Sciences, 60(9): 092101, 2017. [CCF A] [PDF]
  •  [SCIS] Cong Sun, Ning Xi, Sheng Gao, Zhong Chen, and Jianfeng Ma. Automated Enforcement for Relaxed Information Release with Reference Points. Science China Information Sciences, 57(11), 2017. [CCF A] [PDF]
  •  [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, 11(3): 2260-2272, 2023. [PDF]
  •  [TVT] Sheng Gao*, Guirong Piao, Jianming Zhu, Xindi Ma, Jianfeng Ma. TrustAccess: A Trustworthy Secure Ciphertext-Policy and Attribute Hiding Access Control Scheme Based on Blockchain. IEEE Transactions on Vehicular Technology, 69(6): 5784-5798, 2020. [PDF]
  •  [Software] Sheng Gao*, Wenting Liu, Jianming Zhu, Xuewen Dong, and Jin Dong. BPMN-LLM: Transforming BPMN Models into Smart Contracts Using Large Language Models. IEEE Software, 42 (4): 50-57, 2025. [PDF]
  •  [TOMM] Qinnan Zhang, Zehui Xiong*, Jianming Zhu, Sheng Gao*, and 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, 20(7): 1–24, 2024. [PDF]
  •  [TII] Qianqian Su, Rui Zhang*, Rui Xue, Sun You, and Sheng Gao*. Distributed Attribute-Based Signature with Attribute Dynamic Update for Smart Grid. IEEE Transactions on Industrial Informatics, 19(9):9424-9435, 2023. [PDF]
  •  [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, 18(4): 2762-2772, 2022. [PDF]
  •  [IoTJ] Xindi Ma, Baopu Li, Qi Jiang, Yimin Chen, Sheng Gao*, and Jianfeng Ma. NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack. IEEE Internet of Things Journal, 9(9): 6778-6789, 2022. [PDF]
  •  [ESWA] Honglei Xu, Sheng Gao*, and Jianming Zhu. Harmony in Diversity: Personalized Federated Learning against Statistical Heterogeneity via a De-personalized Feature Process. Expert Systems with Applications, 290(2025) 128323. [PDF]
  •  [JNCA] Sheng Gao*, Jianfeng Ma, Cong Sun, and Xinghua Li. Balancing Trajectory Privacy and Data Utility Using a Personalized Anonymization Model, 38: 125-134, 2014. [PDF]
  •  [WCMC] Sheng Gao*, Jianfeng Ma, Weisong Shi, and Guoxing Zhan. LTPPM: A Location and Trajectory Privacy Protection Mechanism in Participatory Sensing. Wireless Communications and Mobile Computing, 15(1):155-169, 2015. [PDF]
  •  [ChinaCom] Sheng Gao*, Tianyu Yu, Jianming Zhu, and Wei Cai. An EigenTrust-based Practical Byzantine Fault Tolerance Consensus Algorithm. China Communications, 16(12): 111-123, 2019. [CCF CBC2018 Best Paper Award] [PDF]
  •  [ChinaCom] Xindi Ma, Jianfeng Ma, Hui Li, Qi Jiang, and Sheng Gao. RTRC: A Reputation-Based Incentive Game Model for Trustworthy Crowdsourcing Service. China Communications, 13(12): 199-215, 2016. [PDF]
  •  [SCN] Sheng Gao, Qianqian Su*, Rui Zhang, Jianming Zhu, Zhiyuan Sui, and Junsheng Wang. A Privacy-Preserving Identity Authentication Scheme Based on the Blockchain. Security and Communication Networks, 2021: 1-10, 2021. [PDF]
  •  [Access] Qingyang Ding, Sheng Gao*, Jianming Zhu, and Chongxuan Yuan. Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System. IEEE Access, 8: 6209-6225, 2020. [PDF]
  •  [TOIT] You Sun, Rui Xue, Rui Zhang, Qianqian Su, and Sheng Gao. RTChain: A Reputation System with Transaction and Consensus Incentives for E-commerce Blockchain. ACM Transactions on Internet Technology, 21(1):1-24, 2021. [PDF]
  •  [TWC] Xuewen Dong, Zhichao You, Liangmin Wang, Sheng Gao, Yulong Shen, and Jianfeng Ma. A Truthful Online Incentive Mechanism for Nondeterministic Spectrum Allocation. IEEE Transactions on Wireless Communications, 19(7): 4632-4642, 2020. [PDF]
  •  [EMSE] Zhaoxuan Li, Siqi Lu, Rui Zhang, Rui Xue, Wenqiu Ma, Rujin Liang, Ziming Zhao, and Sheng Gao. SmartFast: An Accurate and Robust Formal Analysis Tool for Ethereum Smart Contracts. Empirical Software Engineering, 27: 197, 2022. [PDF]
  •  [FGCS] Xindi Ma, Jianfeng Ma, Hui Li, Qi Jiang, and Sheng Gao. ARMOR: A Trust-Based Privacy-Preserving Framework for Decentralized Friend Recommendation in Online Social Networks. Future Generation Computer Systems, 79: 82-94, 2018. [PDF]
  •  [PPNA] Xindi Ma, Jianfeng Ma, Hui Li, Qi Jiang, and Sheng Gao. AGENT: An Adaptive Geo-Indistinguishable Mechanism for Continuous Location-Based Service. Peer-to-Peer Networking and Applications, 11(3): 473-485, 2018. [PDF]

Chinese Papers
  •  [中国科学] 高胜*, 袁丽萍, 朱建明, 马鑫迪, 章睿, 马建峰. 一种基于区块链的隐私保护异步联邦学习. 中国科学: 信息科学, 51(10): 1755-1774, 2021. [CCF A] [PDF]
  •  [中国科学] 张沁楠, 朱建明, 高胜*, 熊泽辉, 丁庆洋, 朴桂荣. 基于区块链和贝叶斯博弈的联邦学习激励机制. 中国科学: 信息科学, 55(6): 971-991, 2022. [CCF A] [PDF]
  •  [中国科学] 王玉画, 张沁楠, 邱望洁, 柴子川, 高胜, 朱建明, 童咏昕, 郑志明. 自适应拜占庭鲁棒的差分隐私联邦学习. 中国科学: 信息科学, 2025. [CCF A] [PDF]
  •  [计算机学报] 高胜, 陈秀华*, 朱建明*, 袁丽萍, 马鑫迪, 林晖. 基于区块链的群智感知中任务预算约束的位置隐私保护参与者选择方法. 计算机学报, 45(5): 1052-1067, 2022. [CCF A] [PDF]
  •  [计算机学报] 朱建明, 张沁楠*,高胜*, 丁庆洋, 袁丽萍. 基于区块链的隐私保护可信联邦学习模型. 计算机学报, 44(12): 2464-2484, 2021. [CCF A] [PDF]
  •  [计算机学报] 马鑫迪, 李辉, 马建峰, 习宁, 姜奇, 高胜, 卢笛. 轻量级位置感知推荐系统隐私保护框架. 计算机学报, 40(5), 1017-1030, 2017. [CCF A] [PDF]
  •  [软件学报] 李任翔, 蒋忠元*, 高胜*, 钱肖, 沈秀轩, 刘柄呈, 陶梅悦. 智能合约法律化原则与转化验证模型研究. 软件学报, 36(11): 5298−5335, 2025. [CCF A] [PDF]
  •  [软件学报] 朱建明, 丁庆洋*, 高胜. 基于许可链的 SWIFT 系统分布式架构. 软件学报, 30(6): 1594-1613, 2019. [CCF A] [PDF]
  •  [电子学报] 钱肖, 蒋忠元, 陶梅悦, 刘柄呈, 李任翔, 高胜, 马建峰. 基于上下文感知的智能合约要素提取方法. 电子学报. 53(4): 1322-1336, 2025. [CCF A] [PDF]
  •  [计研发] 孙聪, 习宁, 高胜, 张涛, 李金库, 马建峰. 基于接口精化的广义无干扰性研究. 计算机研究与发展, 52(7): 1631-1641, 2015. [CCF A] [PDF]
  •  [通信学报] 高胜*, 马建峰, 姚青松, 孙聪. LBS中面向协同位置隐私保护的群组最近邻查询. 通信学报, 36(3): 146-154, 2015. [PDF]
  •  [通信学报] 高胜, 向康, 田有亮*, 谭伟杰, 冯涛, 吴晓雪. 基于 BCP的联合委托学习模型及协议. 通信学报, 42(5): 137-148, 2021. [PDF]
  •  [密码学报] 王秦, 朱建明, 高胜. 博弈论与密码协议研究进展. 密码学报, 6(1): 87-99, 2018. [PDF]
  •  [西电学报] 王玉画, 高胜, 朱建明, 黄晨. 自适应差分隐私的高效深度学习方案. 西安电子科技大学学报, 50(4): 54-64, 2023. [PDF]
  •  [西电学报] 马鑫迪, 马建峰, 高胜. 室内定位系统中指纹库的优化方法. 西安电子科技大学学报, 42(6): 81-87, 2015. [PDF]
  •  [太原理工大学学报] 朱建明*, 张沁楠, 高胜. 区块链关键技术及其应用研究进展. 太原理工大学学报, 51(3): 321-330, 2020. [PDF]
  •  [图书情报工作] 高胜, 朱建明. 基于区块链技术的新型分层数字图书馆体系架构. 图书情报工作, 62(24): 57-64, 2018. [PDF]
  •  [国家图书馆学刊] 沈凯旋, 高胜, 朱建明. LibRSM: 基于联盟链的数字图书馆信息资源安全共享模型. 国家图书馆学刊, 28(2): 77-86, 2019. [PDF]
  •  [经济学动态] 贾传昌, 朱建明, 高胜. 隐私经济学研究进展. 经济学动态, 3: 139-157, 2022. [PDF]
  •  [网络与信息安全学报] 张宝, 田有亮, 高胜. 基于博弈论抗共谋攻击的全局随机化共识算法. 网络与信息安全学报, 8(4): 98-109, 2022. [PDF]

Conference
  •    [MobiCASE] Sheng Gao, Jianfeng Ma, Weisong Shi, Guoxing Zhan. Towards Location and Trajectory Privacy Protection in Participatory Sensing. Proc. of International Conference on Mobile Computing, Applications, and Services (MobiCASE 2011), Los Angeles, CA, USA, 2011: 381–386. [PDF]
  •    [INFOCOM] Lingxiao Yang, Xuewen Dong, Zhiguo Wan, Sheng Gao, Wei Tong, Di Lu, Yulong Shen, and Xiaojiang Du. AsyncSC: An Asynchronous Sidechain for Multi-Domain Data Exchange in Internet of Things. Proc. of IEEE Conference on Computer Communications (INFOCOM 2025), London, United Kingdom, 2025: 1-10. [PDF]
  •    [ICDCS] Lingxiao Yang, Xuewen Dong, Sheng Gao, Qiang Qu, Xiaodong Zhang, Wensheng Tian, and Yulong Shen. Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability. Proc. of the 43rd IEEE International Conference on Distributed Computing Systems (ICDCS 2023), Hong Kong, China, 2023: 692-702. [PDF]
  •    [APWeb] Cong Sun, Sheng Gao, and Jianfeng Ma. Verifying Location-Based Services with Declassification Enforcement. Proc. of 14th Asia-Pacific Web Conference (APWeb 2012), Kunming, China: 695–702. [PDF]
  •    [DSC] Yonggui Fu, Jianming Zhu, and Sheng Gao. CPS Information Security Risk Evaluation System Based on Petri Net. Proc. of International Conference on Computing, Networking and Communication (ICNC 2016), Kauai, Hawaii, USA, 2016: 1-6. [PDF]
  •    [ICNC] Ben Niu, Sheng Gao, Fenghua Li, Hui Li, and Zongqing Lu. Protection of Location Privacy in Continuous LBSs Against Adversaries with Background Information. Proc. of IEEE Second International Conference on Data Science in Cyberspace (DSC 2017), Shenzhen, China, 2017: 541-548. [PDF]
  •    [INFOCOM WKSHPS] Bowen Xiao, Xiaoyi Fan, Sheng Gao, and Wei Cai. EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges. Proc. of IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS 2019), Paris, France, 2019: 1-6. [PDF]
  •    [INFOCOM WKSHPS] Duo Zhang, Youliang Tian, Linjie Wang, Sheng Gao, and Jianfeng Ma. Cooperative Game Model of Delegation Computing: Verifier Separated from Calculators. Proc. of IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS 2020), Toronto, ON, Canada, 2020: 62-67. [PDF]
  •    [MetaCom] Qinnan Zhang, Zehui Xiong, Jianming Zhu, Sheng Gao, Wanting Yang, and Dusit Niyato. Ownership Tokenization and Incentive Design for Learning-based User-Generated Content. Proc. of IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom 2023), Kyoto, Japan, 2023: 306-313. [PDF]
  •    [MSN] Xindi Ma, Jianfeng Ma, Sheng Gao, and Qingsong Yao. APDL: A Practical Privacy-Preserving Deep Learning Model for Smart Devices. Proc. of International Conference on Mobile Ad-Hoc and Sensor Networks (MSN 2017), Beijing, China, 2017: 377–390. [PDF]
  •    [SPDE] Duo Zhang, Xiaodong Zhang, Sheng Gao, and Youliang Tian. Bitcoin-Based Anti-collusion Fair Payments for Outsourcing Computations in Cloud Computing. Proc. of International Conference on Security and Privacy in Digital Economy (SPDE 2020), Quzhou, China, 2020: 309–321. [PDF]
  •    [ICCVE] Xinghua Li, Lingjuan Deng, Sheng Gao, Jianfeng Ma, and Qingsong Yao. A Demand-Aware Location Privacy Protection Scheme in Continuous Location-based Services. Proc. of International Conference on Connected Vehicles and Expo (ICCVE 2014), Vienna, Austria, 2014: 112-117. [PDF]
  •    [NaNA] Xindi Ma, Junying Zhang, Jianfeng Ma, Qi Jiang, Sheng Gao, and Kang Xie. Do Not Perturb Me: A Secure Byzantine-Robust Mechanism for Machine Learning in IoT. Proc. of International Conference on Networking and Network Applications (NaNA 2020), Haikou City, China, 2020: 348-354. [PDF]
  •    [NaNA] Kang Xiang, Youliang Tian, Sheng Gao, Changgen Peng, Weijie Tan. Rational Delegation Learning Outsourcing Scheme Based on Game Theory. Proc. of International Conference on Networking and Network Applications (NaNA 2020), Haikou City, China, 2020: 130-135. [PDF]
  •    [NaNA] Xindi Ma, Cunzhu Su, Jianfeng Ma, Qi Jiang, Ning Xi, and Sheng Gao. Self-Anomaly-Detection Model Training via Initialized Meta Model. Proc. of International Conference on Networking and Network Applications (NaNA 2022), Urumqi, China, 2022: 471-476. [PDF]

Granted Invention Patent
  •  高胜, 朴桂荣, 朱建明. 基于区块链智能合约的公平数据交易方法及装置. ZL202110044196.4 [P]. 中国, 2023年10月20日.
  •  高胜, 朴桂荣, 朱建明. 基于聚合签名和隔离见证的区块链数据存储方法及装置. ZL202110643317.7 [P]. 中国, 2023年6月23日.
  •  高胜, 胡乘源, 朱建明. 抗投毒攻击的聚合防御方法、聚合装置及电子设备. ZL202211397225.6 [P]. 中国, 2023年10月24日.
  •  高胜, 刘文婷, 朱建明. 基于 EPC 模型的智能法律合约生成方法及装置. ZL202311405540.3 [P]. 中国, 2024年3月15日.
  •  高胜, 刘文婷, 朱建明, 钟丹凤, 隋智源. 智能法律合约生成方法、装置、电子设备及存储介质. ZL202311405545.6 [P]. 中国, 2024年4月9日.
  •  高胜, 陈琳琳, 朱建明. 自然语言合约向智能法律合约转换方法、装置及设备. ZL202510087627.3 [P]. 中国, 2025年07月04日.
  •  高胜, 陈琳琳, 朱建明. 基于大模型微调的智能合约建模方法、装置及电子设备. ZL202510087626.9 [P]. 中国, 2025年07月01日.
  •  朱建明, 张沁楠, 高胜, 章宁. 分布式账本数据存储优化方法、装置、电子设备及介质. ZL202110098692.8 [P]. 中国, 2023年12月19日.
  •  朱建明, 袁崇轩, 高胜, 章宁. 基于区块链的交易主客体的验证方法. ZL201910641836.2 [P]. 中国, 2023年05月26日.
  •  张沁楠, 朱建明, 高胜, 章宁. 一种基于MPT验证的分布式账本模型冷数据归档及迁移存储方法. ZL202110145771.X [P]. 中国, 2021年02月02日.
  •  朱建明, 张沁楠, 高胜, 章宁. 一种面向群智服务的区块链节点贡献度证明共识方法. ZL202110547351.4 [P]. 中国, 2023年09月29日.
  •  隋智源, 朱建明, 高胜. 一种基于批签密的智能电网系统及其构建方法. ZL201910651255.7 [P]. 中国, 2021年01月29日.

Last updated: 2024-09