Zengde Deng

I am a machine learning engineer at ByteDance, Beijing, where I work on machine learning, operations research, optimization, etc. I received my Ph.D degree in the Department of Systems Engineering and Engineering Management from the Chinese University of Hong Kong, supervised by Prof. Shiqian Ma and Prof. Anthony Man-Cho So. Before joining CUHK, I obtained my bachelor degree in Statistics from Nankai University.

Email / Google Scholar / DBLP / ResearchGate / Github

Research

My research interests mainly focus on optimization, machine learning, and operations research.

(* indicates equal contribution)

Preprints

Boosting Gradient Ascent for Continuous DR-submodular Maximization. [link]
Qixin Zhang^*, Zongqi Wan^*, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang.
arxiv preprint, arXiv:2401.08330.
Decentralized Weakly Convex Optimization Over the Stiefel Manifold. [link]
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So.
arxiv preprint, arXiv:2303.17779.

Journal Papers

Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. [link]
Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu.
Accepted by INFORMS Journal on Applied Analytics, 2023.
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation. [link]
Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li.
Knowledge-Based Systems, 246: 108594, 2022.
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. [link]
Xiao Li^*, Shixiang Chen^*, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So.
SIAM Journal on Optimization, 31(3): 1605-1634, 2021.
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. [link]
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So.
IEEE Transactions on Signal Processing, 69: 4759-4773, 2021.
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT. [link]
Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui.
IEEE Internet of Things Journal, 8(4): 2681-2693, 2021.

Conference Papers

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. [link]
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang.
ACM International Conference on Information and Knowledge Management (CIKM), 2023.
Multi-channel Integrated Recommendation with Exposure Constraints. [link]
Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge.
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. [link]
Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
An Online Algorithm for Chance Constrained Resource Allocation. [link]
Yuwei Chen^*, Zengde Deng^*, Zaiyi Chen, Yinzhi Zhou, Yujie Chen, Haoyuan Hu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. [link]
Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang.
International Conference on Machine Learning (ICML), 2022.
Flattened Graph Convolutional Networks For Recommendation. [link]
Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang.
KDD Workshop on Deep Learning Practice (KDD@DLP), 2022.
Non-Recursive Graph Convolutional Networks. [link]
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.
Sparse High-Order Portfolios via Proximal DCA and SCA. [link]
Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021.
Nonconvex Robust Synchronization of Rotations. [link]
Huikang Liu^*, Zengde Deng^*, Xiao Li^*, Shixiang Chen^*, Anthony Man-Cho So.
NeurIPS Workshop on Optimization for Machine Learning (NeurIPS@OPT), 2020.
Label-Aware Graph Convolutional Networks. [link]
Hao Chen^*, Yue Xu^*, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li.
ACM International Conference on Information and Knowledge Management (CIKM), 2020.
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. [link]
Zengde Deng, Anthony Man-Cho So.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
An Efficient Augmented Lagrangian Method for Linear Equality-Constrained Lasso. [link]
Zengde Deng, Man-Chung Yue, Anthony Man-Cho So.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. [link]
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So.
Asilomar Conference on Signals, Systems, and Computers (Asilomar), 2019.
FGST: Fine-grained Spatial-temporal Based Regression for Stationless Bike Traffic Prediction. [link]
Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li.
Pacific-Asia Conference on Knowledge Discoveryand Data Mining (PAKDD), 2019.

Awards

CUHK Postgraduate Student Scholarship, 2016-2020
Honorable Mention at the Mathematical Contest in Modeling (MCM), 2014
Third Prize Scholarship of Nankai University, 2012-2013

Last updated date: Feb 2024.