Jialin (Jaylen) Tang

Ph.D. Student at UC Irvine

I am a Ph.D. student in Computational Science at the University of California, Irvine.

I am advised by Prof. Yu Bai and co-advised by Prof. Mohammad Abdullah Al Faruque and Prof. Junfei Xie.

Before that I received my M.S. degree in Computer Science from California State University, Fullerton in 2026.

My research interests include deep learning, image processing, Vision Large Language Models and diffusion.

  • Irvine, CA, USA
  • University of California, Irvine

Email: protected

Jialin Tang

news

PRISM-Stain received the 3rd-place poster award at the SABPA OC/LA 18th Annual Biomedical Forum Poster Competition. post

Received the M.S. degree in Computer Science from California State University, Fullerton, with Graduate Academic Honors.

Defended my M.S. thesis at California State University, Fullerton.

Invited guest speaker at The 6th Workshop on Enhanced Open Networked Airborne Computing Platform, University of Nevada-Reno, NV. Topic: HyperEAST: A Lightweight Spectral-Spatial Transformer for UAV-Based Hyperspectral Image Classification. post

selected publications

JSTARS

HyperMODE: A Continuous-Depth Spectral-Spatial Modeling Framework with Mamba and Neural Ordinary Differential Equations for Hyperspectral Image Classification

Jialin Tang, Yunduan Lou, Yanhui Guo, Yu Bai

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, vol. 19, pp. 21474–21491

Paper Code
Bib
@article{tang2026hypermode,
  title={HyperMODE: A Continuous-Depth Spectral-Spatial Modeling Framework with Mamba and Neural Ordinary Differential Equations for Hyperspectral Image Classification},
  author={Tang, Jialin and Lou, Yunduan and Guo, Yanhui and Bai, Yu},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={19},
  pages={21474--21491},
  year={2026},
  doi={10.1109/JSTARS.2026.3705708}
}

Continuous-depth spectral-spatial modeling that combines sequence modeling with neural ODE dynamics.

JSTARS

HyperEAST: An Enhanced Attention-Based Spectral-Spatial Transformer with Self-Supervised Pretraining for Hyperspectral Image Classification

Jialin Tang, Nan Ma, Chen Jia, Rui Tian, Yanhui Guo

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, vol. 18, pp. 22241–22255

Paper Code
Bib
@article{tang2025hypereast,
  title={HyperEAST: An Enhanced Attention-Based Spectral-Spatial Transformer with Self-Supervised Pretraining for Hyperspectral Image Classification},
  author={Tang, Jialin and Ma, Nan and Jia, Chen and Tian, Rui and Guo, Yanhui},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={18},
  pages={22241--22255},
  year={2025},
  doi={10.1109/JSTARS.2025.3599855}
}

Self-supervised spectral-spatial representation learning for hyperspectral image classification.

ACDSA

MAS-LLaVA: Motion-Aware Adaptive Sampling for Training-Free Video Large Language Models

Jialin Tang, Yu Bai

IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications, Boracay Island, Philippines, 2026, pp. 1–6

Paper
Bib
@inproceedings{tang2026masllava,
  title={MAS-LLaVA: Motion-Aware Adaptive Sampling for Training-Free Video Large Language Models},
  author={Tang, Jialin and Bai, Yu},
  booktitle={2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)},
  pages={1--6},
  address={Boracay Island, Philippines},
  year={2026},
  doi={10.1109/ACDSA67686.2026.11468028},
  url={https://ieeexplore.ieee.org/document/11468028}
}

Motion-aware token and frame sampling for efficient training-free video large language model inference.

services

Invited Reviewer