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Kun Kuang

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Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Mar 21, 2024
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

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AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

Mar 18, 2024
Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang

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Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

Mar 15, 2024
Ruihao Zhang, Zhengyu Chen, Teng Xiao, Yueyang Wang, Kun Kuang

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From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction

Mar 14, 2024
Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang

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Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects

Mar 12, 2024
Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang

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Distributionally Generative Augmentation for Fair Facial Attribute Classification

Mar 11, 2024
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang

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Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling

Mar 11, 2024
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou

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Evolving Knowledge Distillation with Large Language Models and Active Learning

Mar 11, 2024
Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu

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