Haiyang Yu 于海阳

Position: Associate Professor

Affiliation: College of Computer Science, Beijing University of Technology

Email:       yuhaiyang@bjut.edu.cn

Address:   Room 233, Information Building, #100 Pingleyuan, Chaoyang District, Beijing, China, 100124

学校主页:https://cs.bjut.edu.cn/info/1515/3582.htm

Personal Profile:

于海阳,副研究员,硕士生导师,任职于北京工业大学部计算机学院,专攻人工智能和区块链安全等领域研究。2019年毕业于北京工业大学获博士学位,2017年至2018年在墨尔本大学进行博士联合培养,2013年毕业于北京工业大学计算机科学与技术专业获学士学位。曾获北京工业大学立德树人毕业班优秀班主任标兵,北京工业大学优秀毕业生,IEEE IC-NIDC最佳论文奖等。现任ISO国际标准工作组注册专家,CCF区块链专委会执行委员,中文信息学会大数据安全与隐私计算专委委员,CCF YOCSEF总部委员,网络空间安全科学学报和Blockchain: Research and Applications期刊青年编委会委员。担任TIFS、TDSC、TON、TKDE、TMC、NIPS、ICML、ICLR、AAAI等多个国际顶级期刊和会议的审稿人和程序委员会委员。

Prof. Yu is currently working at the School of Computer Science, Beijing University of Technology. His research focuses on artificial intelligence and blockchain security. He received his Ph.D. from Beijing University of Technology in 2019, including a joint Ph.D. training period at the University of Melbourne from 2017 to 2018. He earned his Bachelor’s degree in Computer Science and Technology from Beijing University of Technology in 2013. He has received several honors, including the “Outstanding Class Advisor Model for Graduating Classes” award and the title of “Excellent Graduate” from Beijing University of Technology, as well as the Best Paper Award at IEEE IC-NIDC. He currently serves as a registered expert in ISO international standard working groups, an executive committee member of the CCF Blockchain Technical Committee, a member of the Big Data Security and Privacy Computing Technical Committee of the Chinese Information Processing Society of China, and a member of the CCF YOCSEF Headquarters Committee. He is also a youth editorial board member of the Journal of Cybersecurity Science and Blockchain: Research and Applications. He serves as a reviewer/PC member for several top-tier international journals and conferences, including IEEE TIFS, IEEE TDSC, IEEE/ACM TON, IEEE TKDE, IEEE TMC, NeurIPS, ICML, and ICLR.

Research Interests

人工智能、区块链、大数据安全等。

His interests include artificial intelligence, blockchain, big data security.

Projects

  • 北京市自然科学基金面上项目,在研,负责人;
  • 国家自然科学基金面上项目,在研,合作单位负责人;
  • 北京市教委科技一般项目,在研,负责人
  • 国家重点研发计划子课题,结题,负责人;
  • 中国博士后科学基金面上项目,结题,负责人;
  • 北京市博士后科研活动经费资助项目,结题,负责人。

Selected Publication( *corresponding author, ^supervised student)

  • Tianyou Zhang^, Haiyang Yu*, Zhen Yang, Yuwen Chen, Shui Yu. LaVFL: Efficient Verifiable Federated Learning for Large Language Models[J]. IEEE Transactions on Dependable and Secure Computing (TDSC), 2025. CCF-A, SCI-Q1 Top,IF = 7.5
  • Xiaohu Shan^, Haiyang Yu*, Yurun Chen, Yuwen Chen, Zhen Yang, S2A-P2FS: Secure Storage Auditing with Privacy-Preserving Flexible Data Sharing in Cloud-Assisted Industrial IoT [J]. IEEE Transactions on Mobile Computing (TMC), 2025. CCF-A, SCI-Q1 Top,IF = 7.7
  • Haiyang Yu, Hui Zhang^, Zhen Yang, Yuwen Chen, Huan Liu, Efficient and Secure Storage Verification in Cloud-Assisted Industrial IoT Networks[J]. IEEE Transactions on Computers (TC), 2025. CCF-A, IF= 3.6
  • Bo Zhang^, Haiyang Yu*, Yuwen Chen, Zhen Yang,MPC-FLC: Accelerating Private Inference in MPC through Full Layer Compression[C]. IEEE/ACM International Symposium on Quality of Service (IWQoS), 2025. CCF-B
  • Xigui Wang^Haiyang Yu*, Yuwen Chen, Richard O. Sinnott, Zhen Yang. PrVFL: Pruning-Aware Verifiable Federated Learning for Heterogeneous Edge Computing[J]. IEEE Transactions on Mobile Computing (TMC), 2024. CCF-A, SCI-Q1 Top, IF=7.7
  • Haiyang Yu, Hui Zhang^, Zhen Yang, Shui Yu, Edasvic: Enabling Efficient and Dynamic Storage Verification for Clouds of Industrial Internet Platforms[J]. IEEE Transactions on Information Forensics and Security (TIFS), 19, 6896-6909, 2024. CCF-A, SCI-Q1 Top,IF = 6.3
  • Haiyang Yu, Yurun Chen^, Zhen Yang, Yuwen Chen, Shui Yu, EDCOMA: Enabling Efficient Double Compressed Auditing for Blockchain-Based Decentralized Storage[J]. IEEE Transactions on Services Computing (TSC), 2024.  CCF-A, SCI-Q1, IF=5.5
  • Haiyang Yu, Runtong Xu^, Hui Zhang^, Zhen Yang, Huan Liu, EV-FL: Efficient Verifiable Federated Learning with Weighted Aggregation for Industrial IoT Networks[J]. IEEE/ACM Transactions on Networking (TON), 32(2), 1723 – 1737, 2024. CCF-A
  • Xiaohu Shan^, Haiyang Yu*, Yuwen Chen, Zhen Yang. Physical Unclonable Function Based Lightweight and Verifiable Data Stream Transmission for Industrial IoT, IEEE Transactions on Industrial Informatics (TII), 19(12), 11573 – 11583, 2023. SCI-Q1 Top, IF= 12.3
  • Ning Li^, Ming Zhou^, Haiyang Yu*, Yuwen Chen, Zhen Yang, SVFLC: Secure and Verifiable Federated Learning With Chain Aggregation. IEEE Internet of Things Journal (IoTJ), 11(8), 13125 – 13136, 2024. SCI-Q1 Top,IF= 10.6
  • Zhen Yang, Ming Zhou^, Haiyang Yu*, Richard O. Sinnott, Huan Liu. Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation, IEEE Transactions on Network Science and Engineering (TNSE), 10(1), 205-222, 2023. SCI-Q1,IF= 6.6
  • Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, Huan Liu. Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks, IEEE Transactions on Network and Service Management (TNSM), 19(3), 2944-2956, 2022. SCI-Q1,IF= 5.3
  • Haiyang Yu, Qi Hu, Zhen Yang, Huan Liu. Efficient Continuous Big Data Integrity Checking for Decentralized Storage, IEEE Transactions on Network Science and Engineering (TNSE), 8(2), 1658-1673, 2021. SCI-Q1,IF= 6.6
  • Haiyang Yu, Zhen Yang, Muhammad Waqas, Shanshan Tu, Zhu Han, Zahid Halim, Richard O Sinnott, Udaya Parampalli. Efficient Dynamic Multi-Replica Auditing for the Cloud with Geographic Location, Future Generation Computer Systems (FGCS), 125(12), 285-298, 2021. SCI-Q1 Top,IF= 7.5

Contact Information

Email: yuhaiyang@bjut.edu.cn

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