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2020 – today
- 2022
[c15]Yuqing Kong:
More Dominantly Truthful Multi-Task Peer Prediction with a Finite Number of Tasks. ITCS 2022: 95:1-95:20- [c14]Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu:
BONUS! Maximizing Surprise. WWW 2022: 36-46 - [i21]Yuqing Kong, Grant Schoenebeck:
False Consensus, Information Theory, and Prediction Markets. CoRR abs/2206.02993 (2022) - 2021
- [c13]Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck:
SURPRISE! and When to Schedule It. IJCAI 2021: 252-260 - [i20]Jiale Chen, Yuqing Kong, Yuxuan Lu:
Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective. CoRR abs/2102.12247 (2021) - [i19]Yuqing Kong:
Counting the Number of People That Are Less Clever Than You. CoRR abs/2103.02214 (2021) - [i18]Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang:
Modularity and Mutual Information in Networks: Two Sides of the Same Coin. CoRR abs/2103.02542 (2021) - [i17]Paul Resnick
, Yuqing Kong, Grant Schoenebeck, Tim Weninger:
Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. CoRR abs/2106.01254 (2021) - [i16]Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck:
SURPRISE! and When to Schedule It. CoRR abs/2106.02851 (2021) - [i15]Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu:
BONUS! Maximizing Surprise. CoRR abs/2107.08207 (2021) - [i14]Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia:
Truthful Information Elicitation from Hybrid Crowds. CoRR abs/2107.10119 (2021) - [i13]Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu:
Identifying Fast/Slow Thinking without Prior. CoRR abs/2109.10619 (2021) - [i12]Yuqing Kong:
Information Elicitation Meets Clustering. CoRR abs/2110.00952 (2021) - 2020
- [c12]Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu:
Information Elicitation Mechanisms for Statistical Estimation. AAAI 2020: 2095-2102 - [c11]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) 2020: 171-188 - [c10]Yuqing Kong:
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. SODA 2020: 2398-2411 - [i11]Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang:
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR abs/2007.06793 (2020)
2010 – 2019
- 2019
- [j1]Yuqing Kong, Grant Schoenebeck:
An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. ACM Trans. Economics and Comput. 7(1): 2:1-2:33 (2019) - [c9]Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost:
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. AAAI 2019: 5725-5732 - [c8]Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang:
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. ICLR (Poster) 2019 - [c7]Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang:
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise. NeurIPS 2019: 6222-6233 - [c6]Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao:
Outsourcing Computation: The Minimal Refereed Mechanism. WINE 2019: 256-270 - [i10]Yuqing Kong, Yiping Ma, Yifan Wu:
Securely Trading Unverifiable Information without Trust. CoRR abs/1903.07379 (2019) - [i9]Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang:
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. CoRR abs/1905.13436 (2019) - [i8]Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang:
L_DMI: An Information-theoretic Noise-robust Loss Function. CoRR abs/1909.03388 (2019) - [i7]Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao:
Outsourcing Computation: the Minimal Refereed Mechanism. CoRR abs/1910.14269 (2019) - [i6]Yuqing Kong:
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. CoRR abs/1911.00272 (2019) - 2018
- [b1]Yuqing Kong:
Eliciting and Aggregating Information: An Information Theoretic Approach. University of Michigan, USA, 2018 - [c5]Yuqing Kong, Grant Schoenebeck:
Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. ITCS 2018: 13:1-13:20 - [c4]Yuqing Kong, Grant Schoenebeck:
Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. ITCS 2018: 14:1-14:20 - [c3]Yuqing Kong, Grant Schoenebeck:
Water from Two Rocks: Maximizing the Mutual Information. EC 2018: 177-194 - [c2]Yuqing Kong, Grant Schoenebeck:
Eliciting Expertise without Verification. EC 2018: 195-212 - [i5]Yuqing Kong, Grant Schoenebeck:
Eliciting Expertise without Verification. CoRR abs/1802.08312 (2018) - [i4]Yuqing Kong, Grant Schoenebeck:
Water from Two Rocks: Maximizing the Mutual Information. CoRR abs/1802.08887 (2018) - 2016
- [c1]Yuqing Kong, Katrina Ligett, Grant Schoenebeck:
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal. WINE 2016: 251-264 - [i3]Yuqing Kong, Grant Schoenebeck, Katrina Ligett:
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal. CoRR abs/1603.07319 (2016) - [i2]Yuqing Kong, Grant Schoenebeck:
Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. CoRR abs/1603.07751 (2016) - [i1]Yuqing Kong, Grant Schoenebeck:
A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. CoRR abs/1605.01021 (2016)
Coauthor Index
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