Yuqing Kong

According to our database, Yuqing Kong authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dominantly Truthful Peer Prediction Mechanisms with a Finite Number of Tasks.

Yuqing Kong

J. ACM, April, 2024

Robust Decision Aggregation with Adversarial Experts.

Yongkang Guo, Yuqing Kong

CoRR, 2024

Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility.

Yuqing Kong

CoRR, 2024

Algorithmic Robust Forecast Aggregation.

Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu

CoRR, 2024

2023

Learning against Non-credible Auctions.

Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng

CoRR, 2023

Robust Decision Aggregation with Second-order Information.

Yuqi Pan, Zhaohua Chen, Yuqing Kong

CoRR, 2023

Multistable Perception, False Consensus, and Information Complements.

Yuqing Kong

CoRR, 2023

Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms.

Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai

Proceedings of the ACM Web Conference 2023, 2023

Calibrating "Cheap Signals" in Peer Review without a Prior.

Yuxuan Lu, Yuqing Kong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

False Consensus, Information Theory, and Prediction Markets.

Yuqing Kong, Grant Schoenebeck

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Learning to Bid in Repeated First-Price Auctions with Budgets.

Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong

Proceedings of the International Conference on Machine Learning, 2023

2022

BONUS! Maximizing Surprise.

Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Eliciting Thinking Hierarchy without a Prior.

Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

More Dominantly Truthful Multi-Task Peer Prediction with a Finite Number of Tasks.

Yuqing Kong

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Information Elicitation Meets Clustering.

Yuqing Kong

CoRR, 2021

Identifying Fast/Slow Thinking without Prior.

Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu

CoRR, 2021

Truthful Information Elicitation from Hybrid Crowds.

Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia

CoRR, 2021

Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels.

Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger

CoRR, 2021

Modularity and Mutual Information in Networks: Two Sides of the Same Coin.

Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang

CoRR, 2021

Counting the Number of People That Are Less Clever Than You.

Yuqing Kong

CoRR, 2021

Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective.

Jiale Chen, Yuqing Kong, Yuxuan Lu

CoRR, 2021

SURPRISE! and When to Schedule It.

Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks.

Yuqing Kong

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning.

Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Information Elicitation Mechanisms for Statistical Estimation.

Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling.

Yuqing Kong, Grant Schoenebeck

ACM Trans. Economics and Comput., 2019

L_DMI: An Information-theoretic Noise-robust Loss Function.

Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang

CoRR, 2019

Securely Trading Unverifiable Information without Trust.

Yuqing Kong, Yiping Ma, Yifan Wu

CoRR, 2019

Outsourcing Computation: The Minimal Refereed Mechanism.

Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise.

Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds.

Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition.

Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Eliciting and Aggregating Information: An Information Theoretic Approach.

Yuqing Kong

PhD thesis, 2018

Eliciting Expertise without Verification.

Yuqing Kong, Grant Schoenebeck

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Water from Two Rocks: Maximizing the Mutual Information.

Yuqing Kong, Grant Schoenebeck

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case.

Yuqing Kong, Grant Schoenebeck

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity.

Yuqing Kong, Grant Schoenebeck

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2016

A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling.

Yuqing Kong, Grant Schoenebeck

CoRR, 2016

Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal.

Yuqing Kong, Katrina Ligett, Grant Schoenebeck

Proceedings of the Web and Internet Economics - 12th International Conference, 2016