Zengde DENG
Machine Learning Engineer @ ByteDance
Research Interests
- Generative AI
- Machine Learning
- Optimization
- Operations Research
About Me
I am a machine learning engineer at ByteDance, where I work on generative AI, machine learning, optimization, etc.
I received my Ph.D. degree in the Department of Systems Engineering and Engineering Management from Chinese University of Hong Kong (CUHK), supervised by Prof. Anthony Man-Cho So and Prof. Shiqian Ma. Before joining CUHK, I obtained my bachelor degree in Statistics from Nankai University.
Education
Ph.D. in Operations Research
Department of Systems Engineering and Engineering Management (SEEM)
The Chinese University of Hong Kong (CUHK)
Advisor: Prof. Anthony Man-Cho So & Prof. Shiqian Ma.
B.S. in Statistics
Department of Mathematics
Nankai University
Publications
Preprints & Tech Reports
DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation
Jiawei Liu, Junqiao Li, Jiangfan Deng, Gen Li, Siyu Zhou, Zetao Fang, Shanshan Lao, Zengde Deng, Jianing Zhu, Tingting Ma, Jiayi Li, Yunqiu Wang, Qian He, Xinglong Wu
Tech Report arXiv:2512.21252
Boosting Gradient Ascent for Continuous DR-submodular Maximization
Qixin Zhang*, Zongqi Wan*, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang.
Preprint arXiv:2401.08330
Journals
An Online Dual Consensus Algorithm for Distributed Resource Allocation over Networks
Yuwei Chen, Zengde Deng, Biao Yuan, Zaiyi Chen, Yujie Chen, Haoyuan Hu.
Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels
Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu.
IJAA INFORMS Journal on Applied Analytics 53 (6), 446-450, 2023
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li.
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.
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So.
TSP IEEE Transactions on Signal Processing, 69: 4759-4773, 2021.
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui.
IOTJ IEEE Internet of Things Journal, 8(4): 2681-2693, 2021.
Conferences
Hardness-aware Privileged Features Distillation with Latent Alignment for CVR Prediction
Huining Yuan, Wenpeng Zhang, Zijie Hao, Zengde Deng
KDD SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
Decentralized Weakly Convex Optimization over the Stiefel Manifold
Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So
SAM IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024.
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang.
CIKM ACM International Conference on Information and Knowledge Management, 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.
KDD SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
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.
AISTATS International Conference on Artificial Intelligence and Statistics, 2023.
An Online Algorithm for Chance Constrained Resource Allocation
Yuwei Chen*, Zengde Deng*, Zaiyi Chen, Yinzhi Zhou, Yujie Chen, Haoyuan Hu.
ICASSP IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023.
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang.
Flattened Graph Convolutional Networks For Recommendation
Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang.
Non-Recursive Graph Convolutional Networks
Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li.
ICASSP IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021.
Sparse High-Order Portfolios via Proximal DCA and SCA
Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So.
ICASSP IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021.
Nonconvex Robust Synchronization of Rotations
Huikang Liu*, Zengde Deng*, Xiao Li*, Shixiang Chen*, Anthony Man-Cho So.
NeurIPS@OPT NeurIPS Workshop on Optimization for Machine Learning, 2020.
Label-Aware Graph Convolutional Networks
Hao Chen*, Yue Xu*, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li.
CIKM ACM International Conference on Information and Knowledge Management, 2020.
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning
Zengde Deng, Anthony Man-Cho So.
ICASSP IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020.
An Efficient Augmented Lagrangian Method for Linear Equality-Constrained Lasso
Zengde Deng, Man-Chung Yue, Anthony Man-Cho So.
ICASSP IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020.
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So.
Asilomar Asilomar Conference on Signals, Systems, and Computers, 2019.
FGST: Fine-grained Spatial-temporal Based Regression for Stationless Bike Traffic Prediction
Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li.
PAKDD Pacific-Asia Conference on Knowledge Discoveryand Data Mining, 2019.