CV

Junyan Lin

Ph.D. Student in Computer Science

linjyan00@163.com
+86-17367107694
Hong Kong, China,

Summary

Ph.D. student in Computer Science at The Hong Kong Polytechnic University. Research interests include Multimodal Large Language Models, Vision-Language-Action Models and World Models, and multisource remote sensing image classification.

Education

  • Ph.D. Student in Computer Science
    2029
    The Hong Kong Polytechnic University, Department of Computing
    Courses: Supervisors: Changwen Chen, Xin Jin
  • Visiting Student
    2025
    Eastern Institute for Advanced Study, College of Information Science and Technology
    Courses: Supervisor: Xiaoyu Shen
  • M.Phil. of Computer Science and Technology
    2025
    Ocean University of China, School of Computer Science and Technology
    GPA: 3.82/4.0
    Courses: Supervisor: Feng Gao
  • B.S. of Computer Science and Technology
    2022
    Zhejiang Gongshang University, School of Computer Science and Technology
    GPA: 88/100 (Rank 1/68)

Skills

Programming Languages

  • Python
  • MATLAB
  • C++

Publications

  • Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
    2026
    CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition
    J. Zhang*, J. Tong*, Junyan Lin*, et al.
  • Efficient Token Compression for the Understanding and Generation Unified MLLMs
    2026
    ISCAS 2026 - IEEE International Symposium on Circuits and Systems
    Junyan Lin, J. Liu, S. Zhao, et al.
  • Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models
    2026
    arXiv
    Junyan Lin, J. Tong, H. Wu, et al.
  • Multimodal Language Models See Better When They Look Shallower
    2025
    EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing
    H. Chen*, Junyan Lin*, X. Chen, et al. Oral.
  • Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices
    2025
    CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition
    Junyan Lin, H. Chen, Y. Fan, et al.
  • Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification
    2025
    IEEE Transactions on Geoscience and Remote Sensing
    Junyan Lin, F. Gao, L. Qi, et al.
  • Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs
    2024
    VCIP 2024 - IEEE International Conference on Visual Communications and Image Processing
    J. Liu, Y. Wei, Junyan Lin, et al.
  • To Preserve or Compress: A Study of Connectors Through Perceptual Efficacy in Multimodal Large Language Models
    2024
    EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing
    Junyan Lin, H. Chen, D. Zhu, et al.
  • Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network
    2024
    PRCV 2024 - Chinese Conference on Pattern Recognition and Computer Vision
    L. Cheng, Junyan Lin, F. Gao, et al.
  • Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification
    2024
    IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium
    Junyan Lin, X. Jin, F. Gao, et al.
  • Sparse Focus Network for Multi-Source Remote Sensing Data Classification
    2024
    IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium
    X. Jin, Junyan Lin, F. Gao, et al.
  • SS-MAE: Spatial-spectral masked autoencoder for multisource remote sensing image classification
    2023
    IEEE Transactions on Geoscience and Remote Sensing
    Junyan Lin, F. Gao, X. Shi, et al.
  • Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification
    2023
    IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium
    X. Shi, Junyan Lin, Y. Rao, et al.
  • Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network
    2023
    IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium
    L. Lv, Junyan Lin, F. Gao, et al.
  • Multi-Scale Transformer Network for Hyperspectral Image Denoising
    2023
    IGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium
    S. Hu, Y. Hu, Junyan Lin, et al.

Interests

  • Interests and Hobbies
    Motorcycling, Fitness, Film Appreciation