Junyan Lin - Computer Science PhD Student
About Me
I am a Ph.D. student in Computer Science at The Hong Kong Polytechnic University, working under the supervision of Prof. Changwen Chen and Dr. Xin Jin. If you are interested in collaboration or would like to exchange ideas, please feel free to reach out to me via email.
Research Interests
Multimodal Large Language Models
Embodied AI
Multisource Remote Sensing Image Classification
Education
Ph.D. in Computer Science and Technology (Expected Jun. 2029)
The Hong Kong Polytechnic University, Hong Kong, ChinaMaster in Computer Science and Technology (GPA: 3.82/4.0)
Ocean University of China, Qingdao, China (Sep. 2022 - Jun. 2025)B.S. in Computer Science and Technology (GPA: 88/100, Rank: 1/68)
Zhejiang Gongshang University, Hangzhou, China (Sep. 2018 - Jun. 2022)
Recent Achievements
- National Scholarship for Graduate Student (2024)
- Outstanding Graduate Student (2024)
Publications
Multimodal Large Language Models:
- H. Chen, J. Lin (co-first), X. Chen, Y. Fan, X. Jin, H. Su, J. Dong, J. Fu, X. Shen. Rethinking Visual Layer Selection in Multimodal LLMs. EMNLP 2025 (CCF-B, NLP Tier 1 Conference)
- J. Lin, H. Chen, Y. Fan, et al. Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices. CVPR 2025 (CCF-A, CV Tier 1 Conference)
- J. Lin, H. Chen, D. Zhu, et al. To Preserve or Compress: A Study of Connectors Through Perceptual Efficacy in Multimodal Large Language Models. EMNLP 2024 (CCF-B, NLP Tier 1 Conference)
- J. Liu, Y. Wei, J. Lin, et al. Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. VCIP 2024
Multisource Remote Sensing Image Classification:
- J. Lin, F. Gao, L. Qi, et al. Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification. IEEE TGRS 2025 (CCF-B, CAS Q1, JCR Q1, IF:8.2)
- J. Lin, F. Gao, X. Shi, et al. SS-MAE: Spatial–spectral masked autoencoder for multisource remote sensing image classification. IEEE TGRS 2023 (CCF-B, CAS Q1, JCR Q1, IF:8.2)
- J. Lin, X. Jin, F. Gao, et al. Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification. IGARSS 2024
- L. Cheng, J. Lin, F. Gao, et al. Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network. PRCV 2024 (CCF-C)
- X. Jin, J. Lin, F. Gao, et al. Sparse Focus Network for Multi-Source Remote Sensing Data Classification. IGARSS 2024
- X. Shi, J. Lin, Y. Rao, et al. Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification. IGARSS 2023
- L. Lv, J. Lin, F. Gao, et al. Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network. IGARSS 2023
For a complete list of publications, please visit my google scholar.
Contact
- Email: junyan.lin@connect.polyu.hk
- Google Scholar: https://scholar.google.com/citations?user=nbuk8v8AAAAJ&hl=zh-CN
- GitHub: https://github.com/Linjyan00
Personal Interests
In my free time, I enjoy motorcycling and fitness. I am passionate about emerging technologies and tackling meaningful challenges that can make a real-world impact.