刘金艳,准聘教授,国家级青年人才。于香港大学计算机系获得博士学位(导师: Dr. Zhiyi Huang, Prof. Siu Ming Yiu),博士期间曾在Nanyang Technological University, Singapore (Host: Dr. Xiaohui Bei)和Georgia Institute of Technology, USA (Host: Dr. Rachel Cummings)访学。
研究基础为理论计算机(Theoretical Computer Science, TCS)中的隐私保护和算法博弈论,具体方向包括差分隐私,联邦学习,拍卖机制和资源分配等。在理论的基础上,也进行应用性研究:包括人工智能学习算法的隐私保护,信息资源的价值衡量与交易,互联网大数据杀熟的应对策略,和社会资源的公平分配等。在计算机科学国际顶级会议/期刊NeurIPS, AAAI, AI, PODS等发表多篇学术论文,主持一项国家自然科学基金青年项目,担任NeurIPS, ICML, TKDE, ICLR, ESA, ITCS等计算机会议/期刊审稿人。获得人工智能国际顶会AAAI 2020唯一最佳学生论文奖。
每年计划招收2名硕士研究生,也欢迎优秀本科生参与实验室科研。可推荐优秀学生赴海外知名高校学习。
隐私保护,联邦学习,机制设计,资源分配等
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。
· 2022.01-2024.12,国家自然科学基金青年项目,62102026,基于隐私保护的拍卖机制和在线学习算法的研究,30万元,主持。
· 2019.11-2023.12,现金牛牛游戏手机下载高层次人才科研启动计划(海外高层次青年人才),100万元,主持。
人工智能国际顶会AAAI 2020最佳学生论文奖
· NeurIPS, ICML,ICLR, ESA, ISAAC, ITCS, FAW, TPDP等计算机会议审稿人
· TKDE期刊审稿人
· IJTCS-FAW程序委员会委员