Publications

Published and accepted research.

Journal Articles

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

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.

Conference Papers

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.

CCWC

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

Ava George, Yu Bai, Jialin Tang

IEEE 16th Annual Computing and Communication Workshop and Conference, Las Vegas, NV, USA, 2026, pp. 458–461

Paper

Bib

@inproceedings{george2026aso,
  title={Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features},
  author={George, Ava and Bai, Yu and Tang, Jialin},
  booktitle={2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC)},
  pages={458--461},
  address={Las Vegas, NV, USA},
  year={2026},
  doi={10.1109/CCWC67433.2026.11393870},
  url={https://ieeexplore.ieee.org/document/11393870}
}

Regression modeling of antisense oligonucleotide efficacy using sequence, structural, and off-target features.

CCWC

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

Ava George, Jialin Tang

IEEE 16th Annual Computing and Communication Workshop and Conference, Las Vegas, NV, USA, 2026, pp. 454–457

Paper

Bib

@inproceedings{george2026evcharging,
  title={Optimizing Energy Management Strategy for EV Wireless Charging Efficiency Using Proximal Policy Optimization},
  author={George, Ava and Tang, Jialin},
  booktitle={2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC)},
  pages={454--457},
  address={Las Vegas, NV, USA},
  year={2026},
  doi={10.1109/CCWC67433.2026.11393703},
  url={https://ieeexplore.ieee.org/document/11393703}
}

Proximal policy optimization for energy management and efficiency in EV wireless charging.