Kong, Yuqing

10 publications

ICLR 2025 Benchmarking LLMs' Judgments with No Gold Standard Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong

NeurIPS 2023 Calibrating “Cheap Signals” in Peer Review Without a Prior Yuxuan Lu, Yuqing Kong

ICML 2023 Learning to Bid in Repeated First-Price Auctions with Budgets Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong

NeurIPS 2022 Eliciting Thinking Hierarchy Without a Prior Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu

IJCAI 2021 SURPRISE! and When to Schedule It Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck

AAAI 2020 Information Elicitation Mechanisms for Statistical Estimation Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu

ECCV 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

AAAI 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

NeurIPS 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

ICLR 2019 Max-MIG: An Information Theoretic Approach for Joint Learning from Crowds Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang