张凌风（1993.10- ），博士，讲师。现任365电子娱乐官方网站讲师。研究方向：人工智能应用及多变量时间序列分析、多模态信号处理（EEG/sEMG）、计算社会学。

联系方式：lingfeng.zhang.ee@outlook.com

教育经历

2021 至 2025, 东京大学, 电气系工程与信息系统, 博士

2018 至 2020, 东京大学, 电气系工程与信息系统, 硕士

2012 至 2016, 吉林大学, 软件工程, 学士

授课经历

主要讲授随机与时间序列分析、文献检索与科技写作、人工智能导论等课程。

主要成果简介

[1] 开展了多变量时间序列分类的深度学习算法研究，提出了动态片段掩码预训练、线性分割与上下文擦除数据增强策略（SegEraser），提升了时间序列分类器的鲁棒性与可扩展性。

[2] 构建了多模态平衡与运动评估体系，开展了基于脑电（EEG）及表面肌电（sEMG）信号的运动与姿态平衡机理研究。

主要科研项目

[1] 湖北省重点研发计划，多模态平衡与运动评估，2025至2027，100万元，在研，技术负责人。

主要论文

第一作者

[1]L. Zhang, Y. Ding, T. Hu, et al., "Dynamic-Segment-Masking Pre-Training for Multivariate Time-Series Classification", Pacific Rim International Conference on Artificial Intelligence (PRICAI), Accepted, 2025

[2]L. Zhang, Y. Ding, T. Hu, et al., "SegEraser: Augmentation with Linear Segmentation and Contextual Erasing for SEMG Gesture Classification", Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 86-103, 2025

[3]L. Zhang, Z. Wan, Y. Ding, et al., "Hand Gesture Classification Using Nearest Centroid with Soft-DTW Loss on SEMG Signals", IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 701-709, 2024

[4]L. Zhang, Z. Wan, Y. Ding, et al., "Hand gesture classification using sEMG signals: Nearest-centroid-based methodology with DBA", IEEE Access, vol. 12, pp. 141916-141931, 2024

[5]L. Zhang, Y. Guo, Y. Ding, et al., "1-D CNN-based online signature verification with federated learning", IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 2698-2705, 2023

合作者

[1]J. Fan, J. Li, L. Zhang, T. Hu, "Tree-Structured Graph Convolutional Network with Frequency Enhancement for EEG Decoding", International Joint Conference on Neural Networks (IJCNN), Accepted, 2026

[2]X. Yang, L. Zhang, F. Wu, et al., "Assisting hand gesture classification and rehabilitation assessment via SEMG and finger motion data", Frontiers in Bioengineering and Biotechnology, vol. 13: 1751763, 2025

[3]Z. Wan, J. Zhao, Y. Ding, L. Zhang, et al., "Joint Optimization for Image Compression and Deblurring via Blur-Aware Guidance", 7th ACM International Conference on Multimedia in Asia, pp. 1-7, 2025

[4]Y. Ding, A. Twabi, J. Yu, L. Zhang, et al., "Decentralized Multi-Agent System with Trust-Aware Communication", IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 1439-1445, 2025

[5]Y. Ding, J. Yu, A. Twabi, L. Zhang, et al., "Multi-Agent Auditing for Smart Contracts", 9th International Symposium on Computer Science and Intelligent Control (ISCSIC), pp. 1-7, 2025

[6]H. Tan, S. Wen, L. Zhu, L. Zhang, et al., "HEFT: Hierarchical Enhanced Fusion Transformer for RGB-D Salient Object Detection", International Conference on Advanced Robotics and Mechatronics (ICARM), pp. 982-987, 2025

[7]Y. Zhang, L. Zhang, T. Hu, et al., "Human Dance Generation Via Text-Music Integration", International Conference on Advanced Robotics and Mechatronics (ICARM), pp. 882-887, 2025

[8]Z. Wan, J. Zhao, Y. Ding, L. Zhang, et al., "Spectrum-Adaptive Distribution of 2D Gaussians for Image Representation and Compression", IEEE International Conference on Multimedia and Exро (ICME), pp. 1-6, 2025

[9]F. Wu, H. Tan, L. Zhang, et al., "Multivariate machine learning model based on YOLOv8 for traffic flow prediction in intelligent transportation systems", IEEE Access, 2025

[10]Y. Ding, L. Zhang, J. Yu, et al., "Emer: Reputation-Based Event Consumer for Event-Driven Decentralized Systems", International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), pp. 1-8, 2024

[11]J. Yu, J. Zhou, Y. Ding, L. Zhang, et al., "Textual differential privacy for context-aware reasoning with large language model", IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 988-997, 2024

[12]Y. Guo, L. Zhang, Y. Ding, et al., "Dimension-wise feature selection of deep learning models for in-air signature time series analysis based on Shapley values", 4th Asia Service Sciences and Software Engineering Conference, pp. 238-248, 2023

[13]G. Li, L. Zhang, H. Sato, "In-air signature authentication using smartwatch motion sensors", IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 386-395, 2021