Jialin (Jaylen) Tang

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

News

2026

[06/17] HyperMODE was accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).
[05/16] PRISM-Stain received the 3rd-place poster award at the SABPA OC/LA 18th Annual Biomedical Forum Poster Competition. post
[05/15] Received the M.S. degree in Computer Science from California State University, Fullerton, with Graduate Academic Honors.
[04/08] Received the Presidential Graduate Research Fellowship for the 2026–2027 academic year.
[03/27] Defended my M.S. thesis at California State University, Fullerton.
[01/05] Presented our EV wireless charging optimization and ASO efficacy modeling work at the IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC) 2026. post

2025

[11/17] MAS-LLaVA was accepted by the IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) 2026.
[11/14] 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
[08/14] HyperEAST was accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).

Selected Research

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 (JSTARS), 2026, Volume 19

paper / code

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

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 (JSTARS), 2025, Volume 18

paper / code

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

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 (ACDSA), 2026

paper

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

Services

Invited Reviewer

Reviewer for the Conference on Neural Information Processing Systems (NeurIPS) 2026.
Reviewer for the Conference on Artificial Intelligence (AAAI) 2027.