Yuqing Kong - RankMe

72 papers A* 21A 4Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibration without Ground Truth. CoRR Yuqing Kong, Mingyu Song, Yizhou Wang, Yifan Wu
2026	J	`jnl`	Decision Aggregation under Quantal Response. CoRR Zhihuan Huang, Yichong Xia, Yuqing Kong
2026	J	`jnl`	Jailbreaking LLMs via Calibration. CoRR Yuxuan Lu, Yongkang Guo, Yuqing Kong
2026	A*	`conf`	PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement. WWW Yongkang Guo, Zhihuan Huang, Yuqing Kong
2026	J	`jnl`	PMIScore: An Unsupervised Approach to Quantify Dialogue Engagement. CoRR Yongkang Guo, Zhihuan Huang, Yuqing Kong
2025	A*	`conf`	Algorithmic Robust Forecast Aggregation. EC Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu
2025	A*	`conf`	Benchmarking LLMs' Judgments with No Gold Standard. ICLR Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong
2025	A*	`conf`	Learning against Non-credible Second-Price Auctions. WWW Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng
2025	A*	`conf`	Mitigating the Participation Bias by Balancing Extreme Ratings. WWW Yongkang Guo, Yuqing Kong, Jialiang Liu
2025	J	`jnl`	Mitigating the Participation Bias by Balancing Extreme Ratings. CoRR Yongkang Guo, Yuqing Kong, Jialiang Liu
2025	A*	`conf`	Robust Aggregation with Adversarial Experts. WWW Yongkang Guo, Yuqing Kong
2024	J	`jnl`	Algorithmic Robust Forecast Aggregation. CoRR Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu
2024	J	`jnl`	Benchmarking LLMs' Judgments with No Gold Standard. CoRR Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong
2024	J	`jnl`	Dominantly Truthful Peer Prediction Mechanisms with a Finite Number of Tasks. J. ACM Yuqing Kong
2024	A*	`conf`	Eliciting Informative Text Evaluations with Large Language Models. EC Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
2024	J	`jnl`	Eliciting Informative Text Evaluations with Large Language Models. CoRR Yuxuan Lu, Shengwei Xu, Yichi Zhang, Yuqing Kong, Grant Schoenebeck
2024	J	`jnl`	How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports. CoRR Zhihuan Huang, Yuxuan Lu, Yongkang Guo, Yuqing Kong
2024	J	`jnl`	Peer Expectation in Robust Forecast Aggregation: The Possibility/Impossibility. CoRR Yuqing Kong
2024	J	`jnl`	Robust Decision Aggregation with Adversarial Experts. CoRR Yongkang Guo, Yuqing Kong
2024	A*	`conf`	Robust Decision Aggregation with Second-order Information. WWW Yuqi Pan, Zhaohua Chen, Yuqing Kong
2024	A*	`conf`	The Surprising Benefits of Base Rate Neglect in Robust Aggregation. EC Yuqing Kong, Shu Wang, Ying Wang
2024	J	`jnl`	The Surprising Benefits of Base Rate Neglect in Robust Aggregation. CoRR Yuqing Kong, Shu Wang, Ying Wang
2024	—	`ed.`	Web and Internet Economics - 19th International Conference, WINE 2023, Shanghai, China, December 4-8, 2023, Proceedings WINE Jugal Garg, Max Klimm, Yuqing Kong
2023	A*	`conf`	Calibrating "Cheap Signals" in Peer Review without a Prior. NeurIPS Yuxuan Lu, Yuqing Kong
2023	J	`jnl`	Calibrating "Cheap Signals" in Peer Review without a Prior. CoRR Yuxuan Lu, Yuqing Kong
2023	A	`conf`	False Consensus, Information Theory, and Prediction Markets. ITCS Yuqing Kong, Grant Schoenebeck
2023	J	`jnl`	Learning against Non-credible Auctions. CoRR Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng
2023	A*	`conf`	Learning to Bid in Repeated First-Price Auctions with Budgets. ICML Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong
2023	J	`jnl`	Learning to Bid in Repeated First-Price Auctions with Budgets. CoRR Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong
2023	J	`jnl`	Multistable Perception, False Consensus, and Information Complements. CoRR Yuqing Kong
2023	A*	`conf`	Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. WWW Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
2023	J	`jnl`	Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. CoRR Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
2023	J	`jnl`	Robust Decision Aggregation with Second-order Information. CoRR Yuqi Pan, Zhaohua Chen, Yuqing Kong
2022	A*	`conf`	BONUS! Maximizing Surprise. WWW Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
2022	A*	`conf`	Eliciting Thinking Hierarchy without a Prior. NeurIPS Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu
2022	J	`jnl`	False Consensus, Information Theory, and Prediction Markets. CoRR Yuqing Kong, Grant Schoenebeck
2022	A	`conf`	More Dominantly Truthful Multi-Task Peer Prediction with a Finite Number of Tasks. ITCS Yuqing Kong
2021	J	`jnl`	BONUS! Maximizing Surprise. CoRR Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu
2021	J	`jnl`	Counting the Number of People That Are Less Clever Than You. CoRR Yuqing Kong
2021	J	`jnl`	Equal Affection or Random Selection: the Quality of Subjective Feedback from a Group Perspective. CoRR Jiale Chen, Yuqing Kong, Yuxuan Lu
2021	J	`jnl`	Identifying Fast/Slow Thinking without Prior. CoRR Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu
2021	J	`jnl`	Information Elicitation Meets Clustering. CoRR Yuqing Kong
2021	J	`jnl`	Modularity and Mutual Information in Networks: Two Sides of the Same Coin. CoRR Yongkang Guo, Zhihuan Huang, Yuqing Kong, Qian Wang
2021	A*	`conf`	SURPRISE! and When to Schedule It. IJCAI Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
2021	J	`jnl`	SURPRISE! and When to Schedule It. CoRR Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck
2021	J	`jnl`	Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels. CoRR Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger
2021	J	`jnl`	Truthful Information Elicitation from Hybrid Crowds. CoRR Qishen Han, Sikai Ruan, Yuqing Kong, Ao Liu, Farhad Mohsin, Lirong Xia
2020	A*	`conf`	Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. SODA Yuqing Kong
2020	A*	`conf`	Information Elicitation Mechanisms for Statistical Estimation. AAAI Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020	J	`jnl`	TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning. CoRR Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2020	—	`conf`	TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. ECCV (3) Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
2019	J	`jnl`	An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. ACM Trans. Economics and Comput. Yuqing Kong, Grant Schoenebeck
2019	J	`jnl`	Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks. CoRR Yuqing Kong
2019	A*	`conf`	L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise. NeurIPS Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
2019	J	`jnl`	L_DMI: An Information-theoretic Noise-robust Loss Function. CoRR Yilun Xu, Peng Cao, Yuqing Kong, Yizhou Wang
2019	—	`conf`	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. ICLR (Poster) Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
2019	J	`jnl`	Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. CoRR Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
2019	—	`conf`	Outsourcing Computation: The Minimal Refereed Mechanism. WINE Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
2019	J	`jnl`	Outsourcing Computation: the Minimal Refereed Mechanism. CoRR Yuqing Kong, Chris Peikert, Grant Schoenebeck, Biaoshuai Tao
2019	J	`jnl`	Securely Trading Unverifiable Information without Trust. CoRR Yuqing Kong, Yiping Ma, Yifan Wu
2019	A*	`conf`	f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition. AAAI Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost
2018	A*	`conf`	Eliciting Expertise without Verification. EC Yuqing Kong, Grant Schoenebeck
2018	J	`jnl`	Eliciting Expertise without Verification. CoRR Yuqing Kong, Grant Schoenebeck
2018	—	`—`	Eliciting and Aggregating Information: An Information Theoretic Approach. Yuqing Kong
2018	A	`conf`	Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. ITCS Yuqing Kong, Grant Schoenebeck
2018	A	`conf`	Optimizing Bayesian Information Revelation Strategy in Prediction Markets: the Alice Bob Alice Case. ITCS Yuqing Kong, Grant Schoenebeck
2018	A*	`conf`	Water from Two Rocks: Maximizing the Mutual Information. EC Yuqing Kong, Grant Schoenebeck
2018	J	`jnl`	Water from Two Rocks: Maximizing the Mutual Information. CoRR Yuqing Kong, Grant Schoenebeck
2016	J	`jnl`	A Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling. CoRR Yuqing Kong, Grant Schoenebeck
2016	J	`jnl`	Equilibrium Selection in Information Elicitation without Verification via Information Monotonicity. CoRR Yuqing Kong, Grant Schoenebeck
2016	—	`conf`	Putting Peer Prediction Under the Micro(economic)scope and Making Truth-Telling Focal. WINE Yuqing Kong, Katrina Ligett, Grant Schoenebeck
2016	J	`jnl`	Putting Peer Prediction Under the Micro(economic)scope and Making Truth-telling Focal. CoRR Yuqing Kong, Grant Schoenebeck, Katrina Ligett