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ORCIDJiaojiao Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j20]Jiaojiao Zhang
, Xuechao He, Yue Huang, Qing Ling:
Byzantine-Robust and Communication-Efficient Personalized Federated Learning. IEEE Trans. Signal Process. 73: 26-39 (2025)- 2024
- [j19]Shengtao Lin, Zinan Wang, Jiaojiao Zhang, Pan Wang, Han Wu, Yifei Qi:
Radiation build-up and dissipation in Raman random fiber laser. Sci. China Inf. Sci. 67(1) (2024) - [j18]Shuangquan Xie, Wen Yang, Jiaojiao Zhang:
Oscillatory Motions of Multiple Spikes in Three-Component Reaction-Diffusion Systems. J. Nonlinear Sci. 34(4): 78 (2024) - [j17]Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu:
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 76-95 (2024) - [c11]Jiaojiao Zhang, Jiang Hu, Mikael Johansson:
Composite Federated Learning with Heterogeneous Data. ICASSP 2024: 8946-8950 - [c10]Jiaojiao Zhang, Dominik Fay, Mikael Johansson:
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. ICASSP 2024: 9461-9465 - [i9]Jiaojiao Zhang, Linglingzhi Zhu, Mikael Johansson:
Differentially Private Online Federated Learning with Correlated Noise. CoRR abs/2403.16542 (2024) - [i8]Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson:
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. CoRR abs/2406.08465 (2024) - [i7]Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson:
From promise to practice: realizing high-performance decentralized training. CoRR abs/2410.11998 (2024) - [i6]Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson:
Locally Differentially Private Online Federated Learning With Correlated Noise. CoRR abs/2411.18752 (2024) - 2023
- [j16]Zhiguo Liu, Jiaojiao Zhang, Lin Wang, Jianxin Feng, Yuanming Ding, Changqing Ren:
PSO-based feature extraction of unknown protocol data frame. Computing 105(1): 131-149 (2023) - [j15]Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu:
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. 83: 102656 (2023) - [j14]Huikang Liu, Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling:
A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. IEEE Trans. Signal Inf. Process. over Networks 9: 427-441 (2023) - [j13]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. IEEE Trans. Signal Process. 71: 311-326 (2023) - [c9]Xuechao He, Jiaojiao Zhang, Qing Ling:
Byzantine-Robust and Communication-Efficient Personalized Federated Learning. ICASSP 2023: 1-5 - [c8]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP 2023: 1-5 - [i5]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR abs/2302.13699 (2023) - [i4]Jiang Hu, Jiaojiao Zhang, Kangkang Deng:
Achieving Consensus over Compact Submanifolds. CoRR abs/2306.04769 (2023) - [i3]Jiaojiao Zhang, Dominik Fay, Mikael Johansson:
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. CoRR abs/2308.01139 (2023) - [i2]Jiaojiao Zhang, Jiang Hu, Mikael Johansson:
Composite federated learning with heterogeneous data. CoRR abs/2309.01795 (2023) - 2022
- [j12]Zhiguo Liu, Weijie Li, Jianxin Feng, Jiaojiao Zhang:
Research on Satellite Network Traffic Prediction Based on Improved GRU Neural Network. Sensors 22(22): 8678 (2022) - [i1]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. CoRR abs/2201.07699 (2022) - 2021
- [j11]Zheng Hu, Jiaojiao Zhang, Yun Ge:
Handling Vanishing Gradient Problem Using Artificial Derivative. IEEE Access 9: 22371-22377 (2021) - [j10]Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So:
A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 7: 346-358 (2021) - [j9]Jiaojiao Zhang, Huikang Liu, Anthony Man-Cho So, Qing Ling:
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. IEEE Trans. Signal Process. 69: 4282-4295 (2021) - 2020
- [j8]Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li, Herschel Rabitz:
Quantum State Filter With Disturbance and Noise. IEEE Trans. Autom. Control. 65(7): 2856-2866 (2020) - [c7]Jiaojiao Zhang, Qing Ling, Anthony Man-Cho So:
A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. CDC 2020: 2317-2322 - [c6]Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling:
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. ICASSP 2020: 5745-5749
2010 – 2019
- 2019
- [j7]Caihong Kai, Jiaojiao Zhang, Xiangru Zhang, Wei Huang:
Energy-Efficient Sensor Grouping for IEEE 802.11ah Networks With Max-Min Fairness Guarantees. IEEE Access 7: 102284-102294 (2019) - [j6]Jiaojiao Zhang, Shuang Cong, Qing Ling, Kezhi Li:
An Efficient and Fast Quantum State Estimator With Sparse Disturbance. IEEE Trans. Cybern. 49(7): 2546-2555 (2019) - [c5]Ximing Li, Jiaojiao Zhang, Jihong Ouyang:
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. AAAI 2019: 7884-7891 - 2018
- [j5]Ruixue Zhao, Ruochi Zhang, Tongyu Tang, Xin Feng, Jialiang Li, Yue Liu, Renxiang Zhu, Guangze Wang, Kangning Li, Wenyang Zhou, Yunfei Yang, Yuzhao Wang, Yuanjie Ba, Jiaojiao Zhang, Yang Liu, Fengfeng Zhou:
TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis. Comput. Biol. Medicine 99: 182-190 (2018) - [c4]Caihong Kai, Lei Xu, Jiaojiao Zhang, Min Peng:
Joint Uplink and Downlink Resource Allocation for D2D Communication Underlying Cellular Networks. WCSP 2018: 1-6 - [c3]Hao Zhou, Lei Xu, Jiaojiao Zhang:
A Physical-social-based Group Utility Maximization framework for Cooperative Caching in Mobile Networks. WCSP 2018: 1-7 - 2017
- [j4]Jiaojiao Zhang, Xiuchun Bi, Rong Li, Shuguang Zhang:
Pricing credit derivatives under fractional stochastic interest rate models with jumps. J. Syst. Sci. Complex. 30(3): 645-659 (2017) - [j3]Jiaojiao Zhang, Kezhi Li, Shuang Cong, Haitao Wang:
Efficient reconstruction of density matrices for high dimensional quantum state tomography. Signal Process. 139: 136-142 (2017) - [c2]Jiaojiao Zhang, Kezhi Li, Shuang Cong:
Fast algorithm of high-dimensional quantum state estimation via low measurement rates. ASCC 2017: 2558-2562 - 2016
- [j2]Jiaojiao Zhang, Kunqian Li, Wenbing Tao:
Multivideo Object Cosegmentation for Irrelevant Frames Involved Videos. IEEE Signal Process. Lett. 23(6): 785-789 (2016) - [j1]Kunqian Li, Jiaojiao Zhang, Wenbing Tao:
Unsupervised Co-Segmentation for Indefinite Number of Common Foreground Objects. IEEE Trans. Image Process. 25(4): 1898-1909 (2016) - 2011
- [c1]Zhenglian Su, Jun Yan, Haisong Chen, Jiaojiao Zhang:
Improving the Performance of Personalized Recommendation with Ontological User Interest Model. CIS 2011: 1141-1145
Coauthor Index
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