I am a fourth-year D.Eng. candidate in the Institute of Artificial intelligence and Network Science at Tianjin University (TJU), advised by Dr. Zhongke Gao. Before that, I received my Master of Engineering degree in Electronic Information from the University of Science and Technology Beijing (USTB), advised by Dr. Ling Wang, and my Bachelor of Engineering degree in Automation from Nanjing Tech University, advised by Dr. Mouquan Shen.

My update-to-date resume can be found at here

Education

2023 - present: ——— D.Eng. candidate at AINS Lab, Tianjin University.

2020 - 2023: ——— M.E., Electronic Information, University of Science and Technology Beijing.

2016 - 2020: ——— B.S., Automation, Nanjing Tech University.

Research Focus

• AI for time series.
  • Deep learning based unsupervised anomaly detection for multivariate time series.
  • Multivariate time series unsupervised segmentation (a.k.a. change point detection).
• Autonomous marine systems (focusing on underwater gliders).
• Large language models (LLMs) post-training.

Selected Publications

The full publication list is available here

*= Equal contribution

• [IEEE Sens J ‘25] Zezhong Li, Wei Guo, Jianpeng An, Qi Wang, Yingchun Mei, Rongshun Juan, Tianshu Wang, Yang Li, and Zhongke Gao, “AD2T: Multivariate Time Series Anomaly Detection with Association Discrepancy Dual-Decoder Transformer,” IEEE Sensors Journal (IEEE Sens J), 2025. [Collaborated with Huadian Heavy industries Co. Ltd], (link)

• [NEUCOM ‘26] Zezhong Li, and Ling Wang, “JT3D: Joint Temporal Segmentation for Common Pattern Discovery in 3D Tensor Time Series via Segmented Gaussian Modeling and Information-Gain,” Neurocomputing (NEUCOM), 2026, (link).

• [OE ‘26] Zezhong Li, Rongshun Juan, Yang Li, Shoufu Liu, Tianshu Wang, Shuaikun Shi, Leihao Du, Wanjun Feng, and Zhongke Gao, “Collision-free path planning for underwater gliders in time-varying currents via dual-archive niching differential evolution,” Ocean Engineering (OE), 2026, [Collaborated with Laoshan National Laboratory], (link), (Website).

• [ACM TIST ‘26] Ling Wang*, Zezhong Li*, and XiaoLong Li, “Feature-Decoupled Clustering for Multivariate Spatio-Temporal Data,” ACM Transactions on Intelligent Systems and Technology (ACM TIST), Revise.

• [Kzyjc ‘24] Ling Wang, and Zezhong Li, “Adaptive greedy Gaussian segmentation algorithm based on multivariate time series”, Kongzhi yu Juece/Control and Decision (Kzyjc), 2024. (link)

• [CJE ‘23] Ling Wang, and Zezhong Li, “Adaptive Segmentation of Multivariate Time Series with FastICA and G-G Clustering”, Tien Tzu Hsueh Pao/Acta Electronica Sinica (CJE), 2023. (link)

Work Experience

• 2023.12 - 2024.1 ——— Intern, Laoshan Laboratory.

• 2023.9 - present ——— Intern, Institute of Medical Robotics and Intelligent Systems, Tianjin University.

  • Advisor: Dr. Zhongke Gao

Professional Service

• Reviewer
  • 2026 ACM Certified Reviewer.
  • 2026 Reviewer of IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, Advanced Engineering Informatics, ISA Transactions, and Journal of SuperComputing.
  • 2025 Reviewer of Expert Systems with Applications, and Neural Networks.
  • 2024 Reviewer of Knowledge-Based Systems.

Honor

• 2024-2025 Tianjin University Merit Student.
• 2025-2026 Tianjin University Outstanding Individual in Scientific and Technological Innovation (Top 3%).
• 2021–2023 University of Science and Technology Beijing Second-Class Academic Scholarship (Twice).
• 2020 University of Science and Technology Beijing Graduate Freshman Scholarship.
• 2016–2018 Nanjing Tech University First-Class Academic Scholarship (Twice, Top 2% in Major).
• 2016–2020 Nanjing Tech University Second-Class Academic Scholarship (Six Times).
• 2018 China Undergraduate Mathematical Contest in Modeling (CUMCM), Jiangsu Provincial Third Prize.
• 2018 National University Cloud Computing Application Innovation Competition, East China Regional Third Prize.