Personal profile
Research interests
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.
Education/Academic qualification
PhD
11 Aug 2012 → 31 Dec 2099
Award Date: 11 Aug 2012
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Collaborations and top research areas from the last five years
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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. 339, 20 p., 115644.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
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, p. 8002-8006 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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, p. 6866-6870 5 p. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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. Jung, H., Wang, T., Toyoda, M., Kwon, H.-Y. & Lee, J.-W. (eds.). Singapore: Springer, p. 249-264 16 p. (Lecture Notes in Computer Science; vol. 16537 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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. 13, 9, p. 18120-18128 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure)