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2020 – today
- 2024
[c13]Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So:
Decentralized Non-Smooth Optimization Over the Stiefel Manifold. SAM 2024: 1-5- [i15]Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang:
Boosting Gradient Ascent for Continuous DR-submodular Maximization. CoRR abs/2401.08330 (2024) - 2023
- [j5]Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu:
Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. INFORMS J. Appl. Anal. 53(6): 446-450 (2023) - [c12]Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang:
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. AISTATS 2023: 3515-3537 - [c11]Qixin Zhang
, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM 2023: 3330-3339 - [c10]Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu:
An Online Algorithm for Chance Constrained Resource Allocation. ICASSP 2023: 1-5 - [c9]Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge:
Multi-channel Integrated Recommendation with Exposure Constraints. KDD 2023: 5338-5349 - [i14]Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu:
An Online Algorithm for Chance Constrained Resource Allocation. CoRR abs/2303.03254 (2023) - [i13]Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So:
Decentralized Weakly Convex Optimization Over the Stiefel Manifold. CoRR abs/2303.17779 (2023) - [i12]Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge:
Multi-channel Integrated Recommendation with Exposure Constraints. CoRR abs/2305.12319 (2023) - 2022
- [j4]Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li:
Neighbor enhanced graph convolutional networks for node classification and recommendation. Knowl. Based Syst. 246: 108594 (2022) - [c8]Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML 2022: 26116-26134 - [i11]Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang:
Continuous Submodular Maximization: Boosting via Non-oblivious Function. CoRR abs/2201.00703 (2022) - [i10]Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li:
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation. CoRR abs/2203.16097 (2022) - [i9]Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang:
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. CoRR abs/2208.07632 (2022) - [i8]Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR abs/2208.08681 (2022) - [i7]Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang:
Flattened Graph Convolutional Networks For Recommendation. CoRR abs/2210.07769 (2022) - 2021
- [j3]Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. IEEE Internet Things J. 8(4): 2681-2693 (2021) - [j2]Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. 31(3): 1605-1634 (2021) - [j1]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. 69: 4759-4773 (2021) - [c7]Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li:
Non-Recursive Graph Convolutional Networks. ICASSP 2021: 3205-3209 - [c6]Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So:
Sparse High-Order Portfolios Via Proximal Dca And Sca. ICASSP 2021: 5425-5429 - [i6]Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li:
Non-Recursive Graph Convolutional Networks. CoRR abs/2105.03868 (2021) - 2020
- [c5]Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li:
Label-Aware Graph Convolutional Networks. CIKM 2020: 1977-1980 - [c4]Zengde Deng, Anthony Man-Cho So:
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. ICASSP 2020: 5425-5429 - [c3]Zengde Deng, Man-Chung Yue, Anthony Man-Cho So:
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. ICASSP 2020: 5760-5764 - [i5]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR abs/2005.02356 (2020) - [i4]Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu:
Single-Layer Graph Convolutional Networks For Recommendation. CoRR abs/2006.04164 (2020)
2010 – 2019
- 2019
- [c2]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC 2019: 259-263 - [c1]Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li:
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. PAKDD (1) 2019: 265-279 - [i3]Zengde Deng, Anthony Man-Cho So:
An Efficient Augmented Lagrangian Based Method for Constrained Lasso. CoRR abs/1903.05006 (2019) - [i2]Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multi-Agent Reinforcement Learning. CoRR abs/1907.01385 (2019) - [i1]Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So:
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR abs/1911.05047 (2019)
Coauthor Index
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