Calculated based on number of publications stored in Pure and citations from Scopus
20182023

Research activity per year

Personal profile

Personal profile

Name: Liu Jinyan
Discipline: Computer Science and Technology
Title: Associate Professor, doctoral Supervisor, National high-level overseas talent
Contact number:
E-mail: jyliu@bit.edu.cn
Address: Beijing Institute of Technology Center Teaching Building, Haidian District, Beijing Personal Information
Liu Jinyan, associate professor, high-level young talents of Beijing Institute of Technology. PhD in Computer Science from the University of Hong Kong (Supervisor: Dr. Zhiyi Huang, Prof. Siu Ming Yiu, Ph.D., Nanyang Technological University, Singapore (Host: Dr. Xiaohui Bei and visiting scholar at the Institute of Technology of Georgia, USA (Host: Dr. Rachel Cummings).
The research is based on privacy protection and algorithmic game theory in Theoretical Computer Science (TCS), with specific directions including differential privacy, federated learning, auction mechanisms, and resource allocation. On the basis of the theory, the application research is also carried out: including the privacy protection of artificial intelligence learning algorithms, the value measurement and transaction of information resources, the coping strategy of Internet big data killing, and the fair distribution of social resources. He has published many academic papers in NeurIPS, AAAI, AI, PODS and other top international conferences/journals in computer science, hosted a National Natural Science Foundation youth project, and served as a reviewer for computer conferences/journals such as NeurIPS, ICML, TKDE, ICLR, ESA, ITCS and so on. Won the only Best Student paper Award of AAAI 2020.
We plan to recruit 2 postgraduate students every year, and welcome excellent undergraduates to participate in laboratory research. Excellent students can be recommended to study in well-known overseas universities.

Research Interests

Research Direction
Privacy protection, federated learning, mechanism design, resource allocation, etc.

Education

Personal Information
Liu Jinyan, associate professor, high-level young talents of Beijing Institute of Technology. PhD in Computer Science from the University of Hong Kong (Supervisor: Dr. Zhiyi Huang, Prof. Siu Ming Yiu, Ph.D., Nanyang Technological University, Singapore (Host: Dr. Xiaohui Bei and visiting scholar at the Institute of Technology of Georgia, USA (Host: Dr. Rachel Cummings).
The research is based on privacy protection and algorithmic game theory in Theoretical Computer Science (TCS), with specific directions including differential privacy, federated learning, auction mechanisms, and resource allocation. On the basis of the theory, the application research is also carried out: including the privacy protection of artificial intelligence learning algorithms, the value measurement and transaction of information resources, the coping strategy of Internet big data killing, and the fair distribution of social resources. He has published many academic papers in NeurIPS, AAAI, AI, PODS and other top international conferences/journals in computer science, hosted a National Natural Science Foundation youth project, and served as a reviewer for computer conferences/journals such as NeurIPS, ICML, TKDE, ICLR, ESA, ITCS and so on. Won the only Best Student paper Award of AAAI 2020.
We plan to recruit 2 postgraduate students every year, and welcome excellent undergraduates to participate in laboratory research. Excellent students can be recommended to study in well-known overseas universities.

Professional Experience

Personal Information
Liu Jinyan, associate professor, high-level young talents of Beijing Institute of Technology. PhD in Computer Science from the University of Hong Kong (Supervisor: Dr. Zhiyi Huang, Prof. Siu Ming Yiu, Ph.D., Nanyang Technological University, Singapore (Host: Dr. Xiaohui Bei and visiting scholar at the Institute of Technology of Georgia, USA (Host: Dr. Rachel Cummings).
The research is based on privacy protection and algorithmic game theory in Theoretical Computer Science (TCS), with specific directions including differential privacy, federated learning, auction mechanisms, and resource allocation. On the basis of the theory, the application research is also carried out: including the privacy protection of artificial intelligence learning algorithms, the value measurement and transaction of information resources, the coping strategy of Internet big data killing, and the fair distribution of social resources. He has published many academic papers in NeurIPS, AAAI, AI, PODS and other top international conferences/journals in computer science, hosted a National Natural Science Foundation youth project, and served as a reviewer for computer conferences/journals such as NeurIPS, ICML, TKDE, ICLR, ESA, ITCS and so on. Won the only Best Student paper Award of AAAI 2020.
We plan to recruit 2 postgraduate students every year, and welcome excellent undergraduates to participate in laboratory research. Excellent students can be recommended to study in well-known overseas universities.

Research Achievement


代表性学术成果
部分代表性学术成果
[1] Truthful Generalized Linear Models
Yuan Qiu, Jinyan Liu and Di Wang
The 18th Conference on Web and Internet Economics (WINE), 2022.

[2] Fair Division of Mixed Divisible and Indivisible Goods
Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu and Xinhang Lu
Artificial Intelligence (AI, CCF A类), 2021.

[3] Fair Division of Mixed Divisible and Indivisible Goods
Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu and Xinhang Lu
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI, CCF A类), 2020. (最佳学生论文奖).

[4] Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas
Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebing Ren, and Shuyu Shi
Twenty-Eighth ACM International Conference on Information and Knowledge Management (CIKM, CCF B类), 2019.

[5] Learning Optimal Reserve Price against Non-myopic Bidders
Zhiyi Huang, Jinyan Liu and Xiangning Wang
Advances in Neural Information Processing Systems (NeurIPS, CCF A类), 2018.

[6] Optimal Differentially Private Algorithms for k-Means Clustering
Zhiyi Huang and Jinyan Liu
Proceeding of the ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Databases Systems (PODS, CCF B类,理论数据库国际顶会), 2018.

注:本领域(理论计算机)作者按姓氏字母排序。
所获奖励
人工智能国际顶会AAAI 2020最佳学生论文奖

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