Yuqing Kong

Orcid: 0000-0002-5901-3004

According to our database¹, Yuqing Kong authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

Yuqing Kong

J. ACM, April, 2024

The Surprising Benefits of Base Rate Neglect in Robust Aggregation.

[BibT_eX]

[DOI]

Yuqing Kong

Shu Wang

Ying Wang

CoRR, 2024

How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports.

[BibT_eX]

[DOI]

CoRR, 2024

Eliciting Informative Text Evaluations with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Decision Aggregation with Adversarial Experts.

[BibT_eX]

[DOI]

Yongkang Guo

Yuqing Kong

CoRR, 2024

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

[BibT_eX]

[DOI]

Yuqing Kong

CoRR, 2024

Algorithmic Robust Forecast Aggregation.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Decision Aggregation with Second-order Information.

[BibT_eX]

[DOI]

Yuqi Pan

Zhaohua Chen

Yuqing Kong

Proceedings of the ACM on Web Conference 2024, 2024

2023

Learning against Non-credible Auctions.

[BibT_eX]

[DOI]

CoRR, 2023

Multistable Perception, False Consensus, and Information Complements.

[BibT_eX]

[DOI]

Yuqing Kong

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

BONUS! Maximizing Surprise.

[BibT_eX]

[DOI]

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

Eliciting Thinking Hierarchy without a Prior.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yuqing Kong

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

2021

Information Elicitation Meets Clustering.

[BibT_eX]

[DOI]

Yuqing Kong

CoRR, 2021

Identifying Fast/Slow Thinking without Prior.

[BibT_eX]

[DOI]

CoRR, 2021

Truthful Information Elicitation from Hybrid Crowds.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Yuqing Kong

CoRR, 2021

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

[BibT_eX]

[DOI]

Jiale Chen

Yuqing Kong

Yuxuan Lu

CoRR, 2021

SURPRISE! and When to Schedule It.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Yuqing Kong

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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Information Elicitation Mechanisms for Statistical Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yuqing Kong

Grant Schoenebeck

ACM Trans. Economics and Comput., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Securely Trading Unverifiable Information without Trust.

[BibT_eX]

[DOI]

Yuqing Kong

Yiping Ma

Yifan Wu

CoRR, 2019

Outsourcing Computation: The Minimal Refereed Mechanism.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Eliciting and Aggregating Information: An Information Theoretic Approach.

[BibT_eX]

[DOI]

Yuqing Kong

PhD thesis, 2018

Eliciting Expertise without Verification.

[BibT_eX]

[DOI]

Yuqing Kong

Grant Schoenebeck

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

Water from Two Rocks: Maximizing the Mutual Information.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yuqing Kong

Grant Schoenebeck

CoRR, 2016

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

[BibT_eX]

[DOI]

Yuqing Kong

Katrina Ligett

Grant Schoenebeck

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

Yuqing Kong

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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