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Jiguang Li

Assistant Professor

School: Computer Science

Jiguang Li

I am conducting research on infrared sensing integrated with artificial intelligence, robotics, and advanced algorithms.  My research focuses on low-power intelligent sensing, anomaly detection, and autonomous decision-making for robotics and  infrastructure monitoring.

  • Please visit the Pure Research Information Portal for further information
  • A Novel Adaptive Hyperspherical Oversampling Method Based on Extended Natural Neighborhood for Imbalanced Classification, Zhou, Y., Yue, X., Li, J., Liu, X., Sun, W., Li, J. 22 Apr 2026, In: Knowledge-Based Systems
  • A physics-inspired instance selection method based on Coulomb force modeling, Li, J., Zhou, Y., Li, J., Zhao, S., Luo, J., Bai, L., Li, J. 27 Jul 2026, In: Information Sciences
  • MoDE: A Dynamic Expert Aggregation Framework for Sleep Stage Classification with Contextual Factors, Luo, J., Li, J., Li, W., Degenaar, P., Wang, Y., Li, J. 3 May 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Piscataway, United States, IEEE
  • Physically Grounded Dual-Opacity Gaussian Splatting for Joint RGB-TIR Reconstruction, Liu, J., Leng, D., Chen, J., Li, H., Li, J., Huang, Z., Zhang, X., Xu, Q., Zheng, Z., Huang, X. 12 Sep 2026, Computer Vision – ECCV 2026, Cham, Switzerland, Springer
  • RMSSC: A Robust Multimodal Framework for Sleep Stage Classification with Noisy Labels and Missing Modalities, Luo, J., Miao, L., Guan, Q., Li, J., Huang, Z., Li, J. 3 May 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Piscataway, United States, IEEE
  • S3D-Net: Learning Disentangled Subject-Invariant Representations for EEG Sleep Staging via Spectral-Spatial-Sequential Feature Fusion, Luo, J., Long, J., He, X., Li, J., Degenaar, P., Li, J. 12 May 2026, Database Systems for Advanced Applications - 31st International Conference, DASFAA 2026, Proceedings, Singapore, Springer
  • TransHAR: Towards Intent-Aware Transformer-Based Human Activity Recognition in Intelligent IoT Communication Systems, Huang, Z., Xu, M., Li, Q., Luo, F., Li, J., Zeng, Y., Jeon, G. 1 May 2026, In: IEEE Internet of Things Journal
  • VKTNet: A Hybrid Visual Kolmogorov-Arnold Transformer Network for Pedestrian Intention and Trajectory Prediction, Huang, Z., Zhang, J., Song, S., Zhang, J., Li, J., Zhao, L., Zeng, Y., Li, J. 3 May 2026, ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Piscataway, United States, IEEE
  • 基于霍夫变换的 STCF 主漂移室实时径迹识别与数据压缩算法, Peng, L., Zhang, B., Guo, Z., Zhao, J., Ma, Y., Fang, Z., Li, J., Li, H. 20 Jun 2026, In: Wuli Xuebao/Acta Physica Sinica
PhD August 11 2012

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