Jitao Ma

Orcid: 0009-0009-7782-8184

According to our database1, Jitao Ma authored at least 21 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MultiGS: Multi-Dimensional Information-Aware Gradient Sparsification.
IEEE Trans. Circuits Syst. Video Technol., April, 2026

BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection.
IEEE Trans. Circuits Syst. Video Technol., January, 2026

FA-Mamba: frequency attention driven Mamba for multimodal remote sensing classification.
Neural Networks, 2026

MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification.
Neural Networks, 2026

2025
Semi-Mamba: Mamba-Driven Semi-Supervised Multimodal Remote Sensing Feature Classification.
IEEE Trans. Circuits Syst. Video Technol., October, 2025

High-Energy Concentration for Federated Learning in Frequency Domain.
CoRR, September, 2025

Distributed Deep Learning With Gradient Compression for Big Remote Sensing Image Interpretation.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

Exploring hyperspectral anomaly detection with human vision: A small target aware detector.
Neural Networks, 2025

Simultaneous Suppression of Random Noise and Ground Roll With a Fuzzy Logic-Guided Deep Network.
IEEE Geosci. Remote. Sens. Lett., 2025

TF-ATM: Training-Free Adaptive Token Merging.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Allowing Oscillation Quantization: Overcoming Solution Space Limitation in Low Bit-Width Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A graphic structure based branch-and-bound algorithm for complex quadratic optimization and applications to magnitude least-square problem.
J. Glob. Optim., January, 2024

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation.
IEEE Trans. Geosci. Remote. Sens., 2024

Towards Efficient Model-Heterogeneity Federated Learning for Large Models.
CoRR, 2024

FedFQ: Federated Learning with Fine-Grained Quantization.
CoRR, 2024

Adaptive Pruning of Channel Spatial Dependability in Convolutional Neural Networks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FedSLS: Exploring Federated Aggregation in Saliency Latent Space.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

JointSQ: Joint Sparsification-Quantization for Distributed Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection.
CoRR, 2023

2022
Ensemble of Multiple Anomalous Sound Detectors.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022


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