Education

• Ph.D. in Computational Science, University of California, Irvine, 2030 (Expected)
• M.S. in Computer Science, California State University, Fullerton, 2026
• B.M. in Information Management and Information Systems, Shandong University of Finance and Economics, 2022

Publications

Journal Articles

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

  J Tang, Y Lou, Y Guo, Y Bai

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, Volume 19

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

  J Tang, N Ma, C Jia, R Tian, Y Guo

  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, Volume 18

Conference Papers

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

  J Tang, Y Bai

  2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications

• Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features

  A George, Y Bai, J Tang

  2026 IEEE 16th Annual Computing and Communication Workshop and Conference

• Optimizing Energy Management Strategy for EV Wireless Charging Efficiency Using Proximal Policy Optimization

  A George, J Tang

  2026 IEEE 16th Annual Computing and Communication Workshop and Conference

Services

Invited Reviewer

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