Zengde Deng

According to our database, Zengde Deng authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Boosting Gradient Ascent for Continuous DR-submodular Maximization.

Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang

CoRR, 2024

2023

Decentralized Weakly Convex Optimization Over the Stiefel Manifold.

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

CoRR, 2023

Multi-channel Integrated Recommendation with Exposure Constraints.

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Online Algorithm for Chance Constrained Resource Allocation.

Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu

Proceedings of the IEEE International Conference on Acoustics, 2023

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Neighbor enhanced graph convolutional networks for node classification and recommendation.

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

Knowl. Based Syst., 2022

Flattened Graph Convolutional Networks For Recommendation.

Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang

CoRR, 2022

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

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

CoRR, 2022

Continuous Submodular Maximization: Boosting via Non-oblivious Function.

Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang

CoRR, 2022

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function.

Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

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

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

IEEE Trans. Signal Process., 2021

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods.

Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So

SIAM J. Optim., 2021

Voting-Based Multiagent Reinforcement Learning for Intelligent IoT.

Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui

IEEE Internet Things J., 2021

Sparse High-Order Portfolios Via Proximal Dca And Sca.

Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So

Proceedings of the IEEE International Conference on Acoustics, 2021

Non-Recursive Graph Convolutional Networks.

Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Single-Layer Graph Convolutional Networks For Recommendation.

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

CoRR, 2020

An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso.

Zengde Deng, Man-Chung Yue, Anthony Man-Cho So

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning.

Zengde Deng, Anthony Man-Cho So

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Label-Aware Graph Convolutional Networks.

Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods.

Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So

CoRR, 2019

Voting-Based Multi-Agent Reinforcement Learning.

Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui

CoRR, 2019

An Efficient Augmented Lagrangian Based Method for Constrained Lasso.

Zengde Deng, Anthony Man-Cho So

CoRR, 2019

FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.

Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019