Zengde Deng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Highly Connected

Augmented Lagrangian

Top Venues

Publications

Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang
Boosting Gradient Ascent for Continuous DR-submodular Maximization. CoRR (2024)
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 (2023)
Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
An Online Algorithm for Chance Constrained Resource Allocation. CoRR (2023)
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)
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) (2023)
Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
An Online Algorithm for Chance Constrained Resource Allocation. ICASSP (2023)
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM (2023)
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)
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So
Decentralized Weakly Convex Optimization Over the Stiefel Manifold. CoRR (2023)
Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML (2022)
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 (2022)
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR (2022)
Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang
Continuous Submodular Maximization: Boosting via Non-oblivious Function. CoRR (2022)
Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang
Flattened Graph Convolutional Networks For Recommendation. CoRR (2022)
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 (2022)
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 (2022)
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
Non-Recursive Graph Convolutional Networks. CoRR (2021)
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) (2021)
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) (2021)
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
Non-Recursive Graph Convolutional Networks. ICASSP (2021)
Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So
Sparse High-Order Portfolios Via Proximal Dca And Sca. ICASSP (2021)
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 (2021)
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR (2020)
Zengde Deng, Man-Chung Yue, Anthony Man-Cho So
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. ICASSP (2020)
Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li
Label-Aware Graph Convolutional Networks. CIKM (2020)
Zengde Deng, Anthony Man-Cho So
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. ICASSP (2020)
Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu
Single-Layer Graph Convolutional Networks For Recommendation. CoRR (2020)
Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR (2019)
Zengde Deng, Anthony Man-Cho So
An Efficient Augmented Lagrangian Based Method for Constrained Lasso. CoRR (2019)
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)
Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui
Voting-Based Multi-Agent Reinforcement Learning. CoRR (2019)
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)