孔雨晴
简介
孔雨晴博士，现任北京大学前沿计算研究中心助理教授，博士生导师，北京大学博雅青年学者，于2018年9月正式加入中心。她于2013年和2018年分别在中国科学技术大学、密歇根大学安娜堡分校获学士、博士学位。研究兴趣在计算经济学领域，包含同伴预测，预测市场，机制设计以及机器学习等。孔雨晴博士的多篇论文发表于WINE, ITCS, EC, SODA, AAAI, NeurIPS, ICLR等理论计算机领域的顶级会议中。
发表论著
2020
- Y. Kong, "Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks" accepted by ACM-SIAM Symposium on Discrete Algorithms (SODA), 2020.
2019
- Y. Kong, C. Peikert, G. Schoenebeck, B. Tao, "Outsourcing Computation: the Minimal Refereed Mechanism" accepted by the 15th Conference on Web and Internet Economics (WINE), 2019.
- Y. Xu*, P. Cao*, Y. Kong, Y. Wang, "LDMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise" accepted by the Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 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.
实验室
孔雨晴，北京大学前沿计算研究中心助理教授，2018年博士毕业于密歇根大学安娜堡分校计算机系，2013年本科毕业于中国科学技术大学数学系。她的研究兴趣在计算经济学领域，包含同伴预测，预测市场，机制设计以及机器学习。她的论文发表于WINE, ITCS, EC, SODA, AAAI, NeurIPS, ICLR等会议中。