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MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization


Sep 12, 2022
Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu


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Treatment Effect Estimation with Unmeasured Confounders in Data Fusion


Aug 23, 2022
Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu


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Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling


Aug 19, 2022
Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu


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Label-Efficient Domain Generalization via Collaborative Exploration and Generalization


Aug 07, 2022
Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

* Accepted by ACM MM 2022 conference 

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S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?


Jun 20, 2022
Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu


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Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning


Jun 07, 2022
Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu

* Accepted to KDD 2022 

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Debiased Graph Neural Networks with Agnostic Label Selection Bias


Jan 25, 2022
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang

* Accepted by TNNLS;12 pages 

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Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth


Dec 29, 2021
Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu


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Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth (a position paper)


Dec 20, 2021
Qi Tian, Kun Kuang, Baoxiang Wang, Furui Liu, Fei Wu


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