孔雨晴

姓  名:
孔雨晴

 

  孔雨晴,2013年于中国科学技术大学数学系获得学士学位,2018年于密歇根大学安娜堡分校计算机系获得博士学位,2018年9月入职北京大学信息科学技术学院,任前沿计算研究中心助理教授。

  

  Yuqing Kong is currently an assistant professor at the Center on Frontiers of Computing Studies (CFCS), Peking University. She obtained her Ph.D. degree from the Computer Science and Engineering Department at University of Michigan in 2018 and her bachelor degree in mathematics from University of Science and Technology of China in 2013.

  

  Her research interests lie in the intersection of theoretical computer science and the areas of economics: information elicitation, prediction markets, mechanism design, and the future applications of these areas to crowdsourcing and machine learning.

  

  理论计算机和经济方向交叉学科:将信息论,博弈论以及人工智能理论结合起来对同伴预测,预测市场,机制设计进行研究同时将它们应用在建立real-world 无监督信息收集处理平台上 (如建立去中心化的在线教育平台)以及机器学习领域(如计算机视觉,医疗图像分析)。

  

  The intersection of theoretical computer science and the areas of economics (EconCS):  information elicitation, prediction markets, mechanism design, and the future applications of these areas to crowdsourcing and machine learning.

2019

  • P. Cao*, Y. Xu*, Y. Kong, Y. Wang, "Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds," accepted by the 7th International Conference on Learning Representations (ICLR), 2019.
  • B. Zhang*, Y. Kong*, G. Essl, E. M. Provost, "f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition," accepted by the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
  • Y. Kong, G. Schoenebeck, "An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling," accepted by the ACM Transactions on Economics and Computation (TEAC), 2019.

 

Publications before joining CFCS

  • Y. Kong, G. Schoenebeck, "Eliciting Expertise without Verification," in proceedings of the 19th ACM Conference on Econ and Computation (EC), 195-212, Ithaca, NY, USA, June 18-22, 2018.
  • Y. Kong, G. Schoenebeck, "Water from Two Rocks: Maximizing the Mutual Information," in proceedings of the 19th ACM Conference on Econ and Computation (EC), 177-194, Ithaca, NY, USA, June 18-22, 2018.
  • Y. Kong, G. Schoenebeck, "Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity," accepted by the 9th Innovations in Theoretical Computer Science (ITCS), Cambridge, MA, USA, January 11-14, 2018.
    In LIPIcs-Leibniz International Proceedings in Informatics (Vol. 94), Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
  • Y. Kong, G. Schoenebeck, "Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case," accepted by the 9th Innovations in Theoretical Computer Science (ITCS), Cambridge, MA, USA, January 11-14, 2018.
    In LIPIcs-Leibniz International Proceedings in Informatics (Vol. 94), Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
  • Y. Kong, K. Ligett, G. Schoenebeck, "Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal," in proceedings of the 12th Conference on Web and Internet Economics (WINE), 251-264, Montreal, Canada, December 11-14, 2016.

 

Tutorial

  • "An Information Theoretic View of Information Elicitation Mechanisms," joint organize with Grant Schoenebeck, in the 18th ACM Conference on Economics and Computation (EC), 2017.

coming soon!