Követés
Zengde Deng
Zengde Deng
ByteDance
E-mail megerősítve itt: se.cuhk.edu.hk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
X Li, S Chen, Z Deng, Q Qu, Z Zhu, AMC So
SIAM Journal on Optimization 31 (3), 1605-1634, 2021
76*2021
Label-Aware Graph Convolutional Networks
H Chen, Y Xu, F Huang, Z Deng, W Huang, S Wang, P He, Z Li
ACM International Conference on Information & Knowledge Management, 1977-1980, 2020
552020
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
H Chen, Z Huang, Y Xu, Z Deng, F Huang, P He, Z Li
Knowledge-Based Systems, 108594, 2022
412022
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
S Chen, Z Deng, S Ma, AMC So
IEEE Transactions on Signal Processing 69, 4759-4773, 2021
222021
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Q Zhang, Z Deng, Z Chen, H Hu, Y Yang
International Conference on Machine Learning, 26116-26134, 2022
162022
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Y Xu, Z Deng, M Wang, W Xu, AMC So, S Cui
IEEE Internet of Things Journal 8 (4), 2681-2693, 2021
162021
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso
Z Deng, MC Yue, AMC So
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
10*2020
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning
Z Deng, AMC So
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
102020
Online learning for non-monotone DR-submodular maximization: From full information to bandit feedback
Q Zhang, Z Deng, Z Chen, K Zhou, H Hu, Y Yang
International Conference on Artificial Intelligence and Statistics, 3515-3537, 2023
92023
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
S Chen, Z Deng, S Ma, AMC So
53rd Asilomar Conference on Signals, Systems, and Computers, 2019
92019
Non-Recursive Graph Convolutional Networks
H Chen, Z Deng, Y Xu, Z Li
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
82021
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction
H Chen, S Wang, Z Deng, X Zhang, Z Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 265-279, 2019
72019
Flattened Graph Convolutional Networks for Recommendation
Y Xu, H Chen, Z Deng, Y Bei, F Huang
KDD Workshop on Deep Learning Practice, 2022
6*2022
Decentralized weakly convex optimization over the Stiefel manifold
J Wang, J Hu, S Chen, Z Deng, AMC So
arXiv preprint arXiv:2303.17779, 2023
52023
Nonconvex Robust Synchronization of Rotations
H Liu, Z Deng, X Li, S Chen, AMC So
NeurIPS Workshop on Optimization for Machine Learning, 2020
52020
Practice summary: Cainiao optimizes the fulfillment routes of parcels
B Yuan, Z Deng, N Geng, Y Chen, H Hu
INFORMS Journal on Applied Analytics 53 (6), 446-450, 2023
32023
An Online Algorithm for Chance Constrained Resource Allocation
Y Chen, Z Deng, Y Zhou, Z Chen, Y Chen, H Hu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023
3*2023
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Q Zhang, Z Deng, X Jian, Z Chen, H Hu, Y Yang
ACM International Conference on Information and Knowledge Management, 3330–3339, 2023
22023
Multi-channel Integrated Recommendation with Exposure Constraints
Y Xu, Q Shen, J Yin, Z Deng, D Wang, H Chen, L Lai, T Zhuang, J Ge
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 5338-5349, 2023
22023
Sparse High-Order Portfolios via Proximal DCA and SCA
J Wang, Z Deng, T Zheng, AMC So
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
12021
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