| 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 | 69* | 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 | 48 | 2020 |
| 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 | 35 | 2022 |
| 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 | 20 | 2021 |
| 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 | 16 | 2022 |
| 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 | 16 | 2021 |
| 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 | 10 | 2020 |
| 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 | 9 | 2019 |
| 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 | 7 | 2023 |
| Non-Recursive Graph Convolutional Networks H Chen, Z Deng, Y Xu, Z Li IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021 | 7 | 2021 |
| 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 | 7 | 2019 |
| 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 |
| Nonconvex Robust Synchronization of Rotations H Liu, Z Deng, X Li, S Chen, AMC So NeurIPS Workshop on Optimization for Machine Learning, 2020 | 5 | 2020 |
| Decentralized weakly convex optimization over the Stiefel manifold J Wang, J Hu, S Chen, Z Deng, AMC So arXiv preprint arXiv:2303.17779, 2023 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2021 |
Anthony Man-Cho SoDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
