Jiaojiao Zhang

Orcid: 0000-0001-7381-6535

According to our database1, Jiaojiao Zhang authored at least 35 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Oscillatory Motions of Multiple Spikes in Three-Component Reaction-Diffusion Systems.
J. Nonlinear Sci., August, 2024

Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2024

From promise to practice: realizing high-performance decentralized training.
CoRR, 2024

Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data.
CoRR, 2024

Differentially Private Online Federated Learning with Correlated Noise.
CoRR, 2024

Radiation build-up and dissipation in Raman random fiber laser.
Sci. China Inf. Sci., 2024

Composite Federated Learning with Heterogeneous Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning.
IEEE Trans. Signal Process., 2023

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation.
Medical Image Anal., 2023

Achieving Consensus over Compact Submanifolds.
CoRR, 2023

PSO-based feature extraction of unknown protocol data frame.
Computing, 2023

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Byzantine-Robust and Communication-Efficient Personalized Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Research on Satellite Network Traffic Prediction Based on Improved GRU Neural Network.
Sensors, 2022

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I.
CoRR, 2022

2021
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks.
IEEE Trans. Signal Process., 2021

A Newton Tracking Algorithm With Exact Linear Convergence for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Handling Vanishing Gradient Problem Using Artificial Derivative.
IEEE Access, 2021

2020
Quantum State Filter With Disturbance and Noise.
IEEE Trans. Autom. Control., 2020

A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Newton Tracking Algorithm with Exact Linear Convergence Rate for Decentralized Consensus Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
An Efficient and Fast Quantum State Estimator With Sparse Disturbance.
IEEE Trans. Cybern., 2019

Energy-Efficient Sensor Grouping for IEEE 802.11ah Networks With Max-Min Fairness Guarantees.
IEEE Access, 2019

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
TriZ-a rotation-tolerant image feature and its application in endoscope-based disease diagnosis.
Comput. Biol. Medicine, 2018

A Physical-social-based Group Utility Maximization framework for Cooperative Caching in Mobile Networks.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Joint Uplink and Downlink Resource Allocation for D2D Communication Underlying Cellular Networks.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

2017
Efficient reconstruction of density matrices for high dimensional quantum state tomography.
Signal Process., 2017

Pricing credit derivatives under fractional stochastic interest rate models with jumps.
J. Syst. Sci. Complex., 2017

Fast algorithm of high-dimensional quantum state estimation via low measurement rates.
Proceedings of the 11th Asian Control Conference, 2017

2016
Unsupervised Co-Segmentation for Indefinite Number of Common Foreground Objects.
IEEE Trans. Image Process., 2016

Multivideo Object Cosegmentation for Irrelevant Frames Involved Videos.
IEEE Signal Process. Lett., 2016

2011
Improving the Performance of Personalized Recommendation with Ontological User Interest Model.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011


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