Improving the Performance of Personalized Recommendation with Ontological User Interest Model. - Zhenglian Su; Jun Yan; Haisong Chen; Jiaojiao Zhang (CIS, 2011)

Multivideo Object Cosegmentation for Irrelevant Frames Involved Videos. - Jiaojiao Zhang; Kunqian Li; Wenbing Tao (IEEE Signal Process. Lett., 2016)

Unsupervised Co-Segmentation for Indefinite Number of Common Foreground Objects. - Kunqian Li; Jiaojiao Zhang; Wenbing Tao (IEEE Trans. Image Process., 2016)

Fast algorithm of high-dimensional quantum state estimation via low measurement rates. - Jiaojiao Zhang; Kezhi Li; Shuang Cong (ASCC, 2017)

Pricing credit derivatives under fractional stochastic interest rate models with jumps. - Jiaojiao Zhang; Xiuchun Bi; Rong Li; Shuguang Zhang (J. Syst. Sci. Complex., 2017)

Efficient reconstruction of density matrices for high dimensional quantum state tomography. - Jiaojiao Zhang; Kezhi Li; Shuang Cong; Haitao Wang 004 (Signal Process., 2017)

Joint Uplink and Downlink Resource Allocation for D2D Communication Underlying Cellular Networks. - Caihong Kai; Lei Xu 020; Jiaojiao Zhang; Min Peng 001 (WCSP, 2018)

A Physical-social-based Group Utility Maximization framework for Cooperative Caching in Mobile Networks. - Hao Zhou; Lei Xu 020; Jiaojiao Zhang (WCSP, 2018)

TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis. - Ruixue Zhao; Ruochi Zhang; Tongyu Tang; Xin Feng 004; Jialiang Li 004; Yue Liu; Renxiang Zhu; Guangze Wang; Kangning Li; Wenyang Zhou; Yunfei Yang; Yuzhao Wang; et al. (Comput. Biol. Medicine, 2018)

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. - Ximing Li 002; Jiaojiao Zhang; Jihong Ouyang (AAAI, 2019)

Energy-Efficient Sensor Grouping for IEEE 802.11ah Networks With Max-Min Fairness Guarantees. - Caihong Kai; Jiaojiao Zhang; Xiangru Zhang; Wei Huang 010 (IEEE Access, 2019)

An Efficient and Fast Quantum State Estimator With Sparse Disturbance. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li (IEEE Trans. Cybern., 2019)

A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (CDC, 2020)

A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. - Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (ICASSP, 2020)

Quantum State Filter With Disturbance and Noise. - Jiaojiao Zhang; Shuang Cong; Qing Ling 001; Kezhi Li; Herschel Rabitz (IEEE Trans. Autom. Control., 2020)

Handling Vanishing Gradient Problem Using Artificial Derivative. - Zheng Hu; Jiaojiao Zhang; Yun Ge (IEEE Access, 2021)

A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization. - Jiaojiao Zhang; Qing Ling 001; Anthony Man-Cho So (IEEE Trans. Signal Inf. Process. over Networks, 2021)

A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2021)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (CoRR, 2022)

Research on Satellite Network Traffic Prediction Based on Improved GRU Neural Network. - Zhiguo Liu 002; Weijie Li; Jianxin Feng; Jiaojiao Zhang (Sensors, 2022)

Byzantine-Robust and Communication-Efficient Personalized Federated Learning. - Xuechao He; Jiaojiao Zhang; Qing Ling 001 (ICASSP, 2023)

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. - Xiangtao Wang; Ruizhi Wang; Biao Tian; Jiaojiao Zhang; Shuo Zhang; Junyang Chen 001; Thomas Lukasiewicz; Zhenghua Xu 001 (ICASSP, 2023)

PSO-based feature extraction of unknown protocol data frame. - Zhiguo Liu; Jiaojiao Zhang; Lin Wang; Jianxin Feng; Yuanming Ding; Changqing Ren (Computing, 2023)

Achieving Consensus over Compact Submanifolds. - Jiang Hu; Jiaojiao Zhang; Kangkang Deng (CoRR, 2023)

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. - Shuo Zhang; Jiaojiao Zhang; Biao Tian; Thomas Lukasiewicz; Zhenghua Xu 001 (Medical Image Anal., 2023)

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence. - Huikang Liu; Jiaojiao Zhang; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Inf. Process. over Networks, 2023)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning. - Jiaojiao Zhang; Huikang Liu; Anthony Man-Cho So; Qing Ling 001 (IEEE Trans. Signal Process., 2023)

Differentially Private Online Federated Learning with Correlated Noise. - Jiaojiao Zhang; Linglingzhi Zhu; Mikael Johansson 001 (CDC, 2024)

Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. - Jiaojiao Zhang; Dominik Fay; Mikael Johansson 001 (ICASSP, 2024)

Composite Federated Learning with Heterogeneous Data. - Jiaojiao Zhang; Jiang Hu; Mikael Johansson 001 (ICASSP, 2024)

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data. - Jiaojiao Zhang; Jiang Hu; Anthony Man-Cho So; Mikael Johansson 001 (NeurIPS, 2024)

Radiation build-up and dissipation in Raman random fiber laser. - Shengtao Lin; Zinan Wang; Jiaojiao Zhang; Pan Wang; Han Wu; Yifei Qi (Sci. China Inf. Sci., 2024)

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. - Jiaojiao Zhang; Shuo Zhang; Xiaoqian Shen; Thomas Lukasiewicz; Zhenghua Xu 001 (IEEE Trans. Medical Imaging, 2024)

Oscillatory Motions of Multiple Spikes in Three-Component Reaction-Diffusion Systems. - Shuangquan Xie; Wen Yang; Jiaojiao Zhang (J. Nonlinear Sci., 2024)

Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. - Yue Huang; Jiaojiao Zhang; Qing Ling 001 (AISTATS, 2025)

From Promise to Practice: Realizing High-performance Decentralized Training. - Zesen Wang; Jiaojiao Zhang; Xuyang Wu 001; Mikael Johansson 001 (ICLR, 2025)

Byzantine-Robust and Communication-Efficient Personalized Federated Learning. - Jiaojiao Zhang; Xuechao He; Yue Huang; Qing Ling 001 (IEEE Trans. Signal Process., 2025)

Locally Differentially Private Online Federated Learning With Correlated Noise. - Jiaojiao Zhang; Linglingzhi Zhu; Dominik Fay; Mikael Johansson 001 (IEEE Trans. Signal Process., 2025)

Non-convex composite federated learning with heterogeneous data. - Jiaojiao Zhang; Jiang Hu; Mikael Johansson 001 (CoRR, 2025)

Achieving Local Consensus Over Compact Submanifolds. - Jiang Hu; Jiaojiao Zhang; Kangkang Deng (IEEE Trans. Autom. Control., 2025)