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Multi-channel Integrated Recommendation with Exposure Constraints


May 21, 2023
Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge

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* KDD 2023 

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Decentralized Weakly Convex Optimization Over the Stiefel Manifold


Mar 31, 2023
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So

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* 27 pages, 6 figures, 1 table 

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An Online Algorithm for Chance Constrained Resource Allocation


Mar 06, 2023
Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu

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* 5 pages, 5 figures. Accepted to ICASSP 2023. arXiv admin note: substantial text overlap with arXiv:2203.16818 

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Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization


Aug 18, 2022
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang

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* 37 pages, 7 figures, 2 tables 

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Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback


Aug 16, 2022
Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang

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* 31 pages, 6 figures, 3 tables 

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Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation


Mar 30, 2022
Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li

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* 29 pages, 3 figures, 7 tables. Accepted to Knowledge-Based Systems 

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Continuous Submodular Maximization: Boosting via Non-oblivious Function


Jan 03, 2022
Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang

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* 29pages 

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Non-Recursive Graph Convolutional Networks


May 09, 2021
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li

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* 5 pages, 2 figures. Accepted to ICASSP 2021 

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Single-Layer Graph Convolutional Networks For Recommendation


Jun 07, 2020
Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu

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Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning


May 05, 2020
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So

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