| A Newton tracking algorithm with exact linear convergence for decentralized consensus optimization J Zhang, Q Ling, AMC So IEEE Transactions on Signal and Information Processing over Networks 7, 346-358, 2021 | 26 | 2021 |
| Efficient reconstruction of density matrices for high dimensional quantum state tomography J Zhang, K Li, S Cong, H Wang Signal Processing 139, 136-142, 2017 | 18 | 2017 |
| An efficient and fast quantum state estimator with sparse disturbance J Zhang, S Cong, Q Ling, K Li IEEE transactions on cybernetics 49 (7), 2546-2555, 2018 | 15 | 2018 |
| A penalty alternating direction method of multipliers for convex composite optimization over decentralized networks J Zhang, H Liu, AMC So, Q Ling IEEE Transactions on Signal Processing 69, 4282-4295, 2021 | 13 | 2021 |
| Fast reconstruction of high-qubit-number quantum states via low-rate measurements K Li, J Zhang, S Cong Physical Review A 96 (1), 012334, 2017 | 11 | 2017 |
| Quantum state filter with disturbance and noise J Zhang, S Cong, Q Ling, K Li, H Rabitz IEEE Transactions on Automatic Control 65 (7), 2856-2866, 2019 | 10 | 2019 |
| A communication-efficient decentralized newton's method with provably faster convergence H Liu, J Zhang, AMC So, Q Ling IEEE Transactions on Signal and Information Processing over Networks, 2023 | 6 | 2023 |
| Variance-reduced stochastic quasi-newton methods for decentralized learning J Zhang, H Liu, AMC So, Q Ling IEEE Transactions on Signal Processing 71, 311-326, 2023 | 6 | 2023 |
| Fast algorithm of high-dimensional quantum state estimation via low measurement rates J Zhang, K Li, S Cong 2017 11th Asian Control Conference (ASCC), 2558-2562, 2017 | 2 | 2017 |
| Byzantine-robust and communication-efficient personalized federated learning X He, J Zhang, Q Ling ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization J Zhang, AMC So, Q Ling ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| Dynamic privacy allocation for locally differentially private federated learning with composite objectives J Zhang, D Fay, M Johansson ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Composite federated learning with heterogeneous data J Zhang, J Hu, M Johansson ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I J Zhang, H Liu, AMC So, Q Ling arXiv preprint arXiv:2201.07699, 2022 | | 2022 |
| Efficient Second-order Algorithms for Decentralized Optimization with Provable Convergence Guarantees J Zhang The Chinese University of Hong Kong (Hong Kong), 2022 | | 2022 |
| A Newton tracking algorithm with exact linear convergence rate for decentralized consensus optimization J Zhang, Q Ling, AMC So 2020 59th IEEE Conference on Decision and Control (CDC), 2317-2322, 2020 | | 2020 |
Qing LingSchool of Computer Science and Engineering, Sun Yat-Sen UniversityVerified email at mail.sysu.edu.cn
