Xiaowen Ma

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I receive the B.S. and master degrees in remote sensing image processing and machine learning from Zhejiang University, Hangzhou, China, in 2021 and 2024, respectively. I am now an AI Researcher with Huawei’s Noah’s Ark Lab, Shanghai, China.

I have published serveral research papers and serve as a reviewer including NeurIPS, ICML, ICLR, ICCV, ECCV, CVPR, TGRS, ISPRS, PR, KBS, etc. My research interests include remote sensing, time series analysis, computer vision, and multimodality.

Recently, I am recruiting research interns in Huawei Noah’s Ark Lab to explore AI technology including VLM, Large Model Reasoning Acceleration, etc. Feel free to contact me if you are interested!

news

Jun 26, 2025 TinyViM is accepted by ICCV’25.
May 02, 2025 TimePro is accepted by ICML’25.
Feb 11, 2025 LOGCAN++ is accepted by TGRS’25.
Jan 24, 2025 SCSM is accepted by ISPRS 2025.
Sep 26, 2024 SSA-Seg is accepted by NeurIPS’24.

selected publications

  1. TGRS’25
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    LOGCAN++: Adaptive Local-Global Class-Aware Network For Semantic Segmentation of Remote Sensing Images
    Xiaowen Ma, Rongrong Lian, Zhenkai Wu, and 7 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2025
  2. ISPRS. J’25
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    A novel scene coupling semantic mask network for remote sensing image segmentation
    Xiaowen Ma, Rongrong Lian, Zhenkai Wu, and 8 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2025
  3. Arxiv’24
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    TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
    Xiaowen Ma, Zhenliang Ni, and Xinghao Chen
    2024
  4. NeurIPS’24
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    SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
    Xiaowen Ma, Zhen-Liang Ni, and Xinghao Chen
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  5. ICML’25
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    TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
    Xiaowen Ma, Zhenliang Ni, Shuai Xiao, and 1 more author
    2025