Yuqing Kong

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 56

Top Topics

Information Theoretic

Top Venues

Publications

Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu
Algorithmic Robust Forecast Aggregation. CoRR (2024)
Yuqing Kong, Shu Wang, Ying Wang
The Surprising Benefits of Base Rate Neglect in Robust Aggregation. CoRR (2024)
Zhihuan Huang, Yuxuan Lu, Yongkang Guo, Yuqing Kong
How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports. CoRR (2024)
Yuqing Kong
Dominantly Truthful Peer Prediction Mechanisms with a Finite Number of Tasks. J. ACM 71 (2) (2024)
Yongkang Guo, Yuqing Kong
Robust Decision Aggregation with Adversarial Experts. CoRR (2024)
Yuqi Pan, Zhaohua Chen, Yuqing Kong
Robust Decision Aggregation with Second-order Information. WWW (2024)
Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
Eliciting Informative Text Evaluations with Large Language Models. CoRR (2024)
Yuqing Kong
Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility. CoRR (2024)
Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong
Learning to Bid in Repeated First-Price Auctions with Budgets. CoRR (2023)
Yuqing Kong
Multistable Perception, False Consensus, and Information Complements. CoRR (2023)
Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong
Learning to Bid in Repeated First-Price Auctions with Budgets. ICML (2023)
Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng
Learning against Non-credible Auctions. CoRR (2023)
Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. WWW (2023)
Yuxuan Lu, Yuqing Kong
Calibrating "Cheap Signals" in Peer Review without a Prior. CoRR (2023)
Yuqi Pan, Zhaohua Chen, Yuqing Kong
Robust Decision Aggregation with Second-order Information. CoRR (2023)
Yuqing Kong, Grant Schoenebeck
False Consensus, Information Theory, and Prediction Markets. ITCS (2023)
Yuxuan Lu, Yuqing Kong
Calibrating "Cheap Signals" in Peer Review without a Prior. NeurIPS (2023)
Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. CoRR (2023)
Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
BONUS! Maximizing Surprise. WWW (2022)
Yuqing Kong
More Dominantly Truthful Multi-Task Peer Prediction with a Finite Number of Tasks. ITCS (2022)
Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu
Eliciting Thinking Hierarchy without a Prior. NeurIPS (2022)
Yuqing Kong, Grant Schoenebeck
False Consensus, Information Theory, and Prediction Markets. CoRR (2022)
Jiale Chen, Yuqing Kong, Yuxuan Lu
Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective. CoRR (2021)
Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu
Identifying Fast/Slow Thinking without Prior. CoRR (2021)
Yuqing Kong
Information Elicitation Meets Clustering. CoRR (2021)
Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
SURPRISE! and When to Schedule It. CoRR (2021)
Yuqing Kong
Counting the Number of People That Are Less Clever Than You. CoRR (2021)
Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger
Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. CoRR (2021)
Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
BONUS! Maximizing Surprise. CoRR (2021)
Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
SURPRISE! and When to Schedule It. IJCAI (2021)
Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang
Modularity and Mutual Information in Networks: Two Sides of the Same Coin. CoRR (2021)
Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia
Truthful Information Elicitation from Hybrid Crowds. CoRR (2021)
Yuqing Kong
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. SODA (2020)
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 (2020)
Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
Information Elicitation Mechanisms for Statistical Estimation. AAAI (2020)
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)
Yuqing Kong, Grant Schoenebeck
An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. ACM Trans. Economics and Comput. 7 (1) (2019)
Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. CoRR (2019)
Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
L_DMI: An Information-theoretic Noise-robust Loss Function. CoRR (2019)
Yuqing Kong
Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. CoRR (2019)
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)
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)
Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
Outsourcing Computation: The Minimal Refereed Mechanism. WINE (2019)
Yuqing Kong, Yiping Ma, Yifan Wu
Securely Trading Unverifiable Information without Trust. CoRR (2019)
Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. ICLR (Poster) (2019)
Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
Outsourcing Computation: the Minimal Refereed Mechanism. CoRR (2019)
Yuqing Kong, Grant Schoenebeck
Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. ITCS (2018)
Yuqing Kong, Grant Schoenebeck
Eliciting Expertise without Verification. CoRR (2018)
Yuqing Kong, Grant Schoenebeck
Eliciting Expertise without Verification. EC (2018)
Yuqing Kong, Grant Schoenebeck
Water from Two Rocks: Maximizing the Mutual Information. CoRR (2018)
Yuqing Kong, Grant Schoenebeck
Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. ITCS (2018)
Yuqing Kong, Grant Schoenebeck
Water from Two Rocks: Maximizing the Mutual Information. EC (2018)
Yuqing Kong, Grant Schoenebeck
A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. CoRR (2016)
Yuqing Kong, Katrina Ligett, Grant Schoenebeck
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal. WINE (2016)
Yuqing Kong, Grant Schoenebeck
Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. CoRR (2016)
Yuqing Kong, Grant Schoenebeck, Katrina Ligett
Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal. CoRR (2016)