李泽中

本人目前是天津大学人工智能与网络科学研究所的四年级博士生，师从高忠科教授，主要研究方向为自主智能无人系统的规划、编队、感知以及故障诊断。在此之前，本人于北京科技大学自动化学院获得电子信息专业硕士学位，师从王玲教授，主要研究方向为多元时间序列的无监督变点检测，多元时空数据的聚类及预测。并于南京工业大学电气工程与控制科学学院获得自动化专业学士学位，师从沈谋全教授。

最新个人简历请查看 link

教育背景

2023 - 至今: ——— 天津大学，人工智能与网络科学研究所，攻读工程博士学位。

2020 - 2023: ——— 北京科技大学，教育部工业过程知识自动化重点实验室，获得电子信息专业硕士学位.

2016 - 2020: ——— 南京工业大学，电气工程与控制科学学院，获得自动化专业学士学位.

研究方向

• 时间序列AI技术

  • 基于深度学习的多元时间序列异常检测

  • 多元时间序列无监督分割（变点检测）

• 自主智能无人系统（主要关注水下滑翔机）的规划、编队、感知与故障诊断

学术论文

*= 同等贡献

• [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 ‘25] 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 Time-Optimal Planning of Underwater Gliders in Time-Varying Currents via Adaptive Niching Dual-Archive Differential Evolution,” Ocean Engineering (OE), 2026, Accept, (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).

• [Chaos ‘24] Wei Guo, Zezhong Li, Xin-Lin Sun, Yatao Zhou, Rongshun Juan, Zhong-Ke Gao, and Juergen Kurths, “Mesoscale eddy in-situ observation and characterization via underwater glider and complex network theory,” Chaos, 2024. (link).

• [KBS ‘26] Ling Wang, Qinchun Xu, Zezhong Li, “STANAP: Spatiotemporal Adaptive Neighborhood-Aware Prediction with Multimodal Evolution,” Knowledge-Based Systems (KBS), 2026. (link).

• [OE ‘25] Mengqi Wang, Rongshun Juan, Zezhong Li, and Zhong-Ke Gao, “Formation Control and Intention Compensating of AUVs Using Multi-agent Reinforcement Learning and Predict Network,” Ocean Engineering (OE), 2025, (link).

• [ESWA ‘26] Yang Li, Tianshu Wang, Zezhong Li, Rongshun Juan, Yatao Zhou, Man Luo, Leihao Du, and Zhong-Ke Gao, “FFL-DWA: A fuzzy and forward-looking DWA for underwater glider local path planning,” Expert Systems With Applications (ESWA), 2026, (link).

• [OE ‘26] Man Luo, Rongshun Juan, Shoufu Liu, Zezhong Li, Junkang Chen, and Zhong-Ke Gao, “HPGAF: Hybrid-Perception Graph-Attentive Formation Navigation for Autonomous Underwater Gliders via Multi-Agent Reinforcement Learning,” Ocean Engineering (OE), 2026, (link).

• [AEI ‘26] Tianshu Wang, Lianbo Wei, Rongshun Juan, Yang Li, Zezhong Li, Jin Chen Yatao Zhou, Yong Zhang and Zhong-Ke Gao, “Sea-Trial Real2Sim and Adjoint-Anchored Model Predictive Control for Cross-Profile Trajectory Tracking of Underwater Gliders,” Advanced Engineering Informatics (AEI), Under Review.

• [OE ‘26] Rongshun Juan, Tianshu Wang, Shoufu Liu, Zezhong Li, Shuaikun Shi, and Zhong-Ke Gao, “UUV obstacle avoidance for terrain tracking problem through distributional reinforcement learning,” Ocean Engineering (OE), Under Reveiw.

• [JOES ‘26] Tianshu Wang, Lianbo Wei, Yang Li, Rongshun Juan, Zezhong Li, Yong Zhang, and Zhong-Ke Gao, “Adjoint-Based Dynamics Inversion for Underwater Glider System Identification,” Journal of Ocean Engineering and Science (JOES), Revise.

• [IEEE IOTJ ‘26] Shoufu Liu, Haibing Li, Rongshun Juan, Man Luo, Zezhong Li, Shuaikun Shi, Zhong-Ke Gao, “UUV Path Following Control Based on Distributional Reinforcement Learning,” IEEE Internet of Things Journal (IOTJ), 2026, Revise.

• [OE ‘26] Junkang Chen, Tao Yang, Rongshun Juan, Man Luo, Zezhong Li, Qi Wang, and Zhong-Ke Gao, “Three-dimensional path planning for underwater glider using safe reinforcement learning,” Ocean Engineering (OE), 2026, (link).

• [OE ‘26] Yatao Zhou, Yang Li, Rongshun Juan, Tianshu Wang, Zezhong Li, and Zhong-Ke Gao, “Reinforcement learning-based path planning for underwater gliders using ocean current forecasts,” Ocean Engineering (OE), 2026, (link).

• [AEI ‘26] Yang Li, Rongshun Juan, Yatao Zhou, Tianshu Wang, Zezhong Li, Wei Guo, Wei Ma, Junhe Wan, and Zhong-Ke Gao, “GDCEM–DP–TVOC-RRT*: Global path planning for multi-glider multi-target in time-varying ocean currents,” Advanced Engineering Informatics (AEI), 2026, (link).

• [ESWA ‘26] Shuaikun Shi, Shoufu Liu, Rongshun Juan, Zezhong Li, Leihao Du, Chongzhang Wang, Qi Wang, and Zhongke Gao, “Reinforcement Learning-Based Hierarchical Control with Reference Refinement for Wind-Robust UAV Power Line Inspection in Mountainous Terrain”, Expert Systems with Applications (ESWA), 2026, Under Review.

• [CMPB ‘26] Wanjun Feng, Chao Ma, ZhiKang Ma, Jianpeng An, Huazhen Chen, Zezhong Li, Jianchang Zhao, and Zhongke Gao, “3D Gaussian Splatting with Geometry Guided Densification for Endoscopic Reconstruction”, Computer Methods and Programs in Biomedicine (CMPB), Revise.

• [IEEE Sens J ‘26] Zhiqiang Zhao, Chen Hanqing, Bang Zhou, Zezhong Li, and Zhongke Gao, “MSADNet: A Multi-Scale Attention-Depthwise Network for oil–water Flow Measurement Using Directional Antenna Microwave Sensing”, IEEE Sensors Journal (IEEE Sens J), Revise.

• [IEEE RAL ‘26] Chongzhang Wang, Na Dong, Zhongke Gao, Rongshun Juan, Zhendong Guo, Guangbin Wang, Shuaibing Mi, Shuaikun Shi, and Zezhong Li “Correct Only What Drifts: Adaptive Dimension-Selective Robust Fusion for Dual-Source Visual-Inertial Odometry on UAVs”, IEEE Robotics and Automation Letters (IEEE RAL), 2026, Under Review.

• [IEEE Sens J ‘25] Bang Zhou, Chen Hanqing, Mengyu Li, Yushi Hao, Zezhong Li, Zhiqiang Zhao, Weidong Cao, and Zhongke Gao, “Dual-Parameter Measurement of Oil-Water Two-Phase Flow Based on Multitask Learning”, IEEE Sensors Journal (IEEE Sens J), 2025. (link).

• [ESWA ‘25] Yang Li, Rongshun Juan, Yatao Zhou, Tianshu Wang, Zezhong Li, Wei Guo, Zhong-Ke Gao, “AD-RRT*: An RRT*-based global path planning approach for underwater gliders with alpha shapes and DBSCAN,” Expert Systems With Applications (ESWA), 2025. (link).

• [JMSE ‘24] Yv Jing, Chao Ma, Jianpeng An, Zezhong Li, Xinlin Sun, and Wei Guo, “Nonstationary Control Parameter Prediction for Underwater Gliders Utilizing an Innovative Transformer-Based Model”, Journal of Marine Science and Engineering (JMSE), 2024. (link).

专利发表

• 高忠科, 李泽中, 郭威, 马伟, 基于数据序列的水下滑翔机异常检测方法: CN202411159713.2. 2024-12-13. (授权)

• 高忠科, 郭威, 李泽中, 马伟, 对中尺度涡垂直结构的处理方法、装置和电子设备: CN202411282488.1. 2025-01-03. (授权)

• 王玲, 李泽中, 一种面向风力发电的多元时空数据概率预测方法及系统: CN202311350618.6. 2024-04-05. (公开)

• 高忠科, 李泽中, 刘首甫, 冯万军, 水下滑翔机的路径规划方法及装置: CN202611028482.0. 2026-05-15. (受理)

工作经历

• 2023.12 - 2024.1 ——— 于崂山国家实验室实习，主要从事自主智能无人系统（水下滑翔机）的相关实践验证。

• 2023.09 - 至今 ——— 于天津大学医疗机器人与智能系统研究院实习，在高忠科教授的指导下，先后完成了自主智能无人系统路径规划，编队协同，故障诊断；港口货物智能视觉三维重建等多项研究工作。

学术服务

• 学术服务

  • 2026 ACM 认证审稿人。

  • 2026年担任Advanced Engineering Informatics, ISA Transactions, Journal of SuperComputing审稿人。

  • 2025年担任Expert Systems with Applications, Neural Networks审稿人。

  • 2024年担任Knowledge-Based Systems审稿人。

主要荣誉

• 2024-2025 天津大学三好学生。
• 2024-2025 天津大学年度科技创新先进个人 (同届前3%)。