吴迎笑 研究员

吴迎笑，杭州电子科技大学特聘教授，研究员，博士。中国计算机学会、IEEE学会会员。

研究方向主要为智能感知、泛在计算、物联网及智慧城市信息化技术的研究与应用等。曾就职于华信咨询设计研究院、之江实验室。作为项目骨干参与多项国家自然科学基金项目和国家863计划项目，近年来主持浙江省级重点研发计划项目两项、在国际国内学术杂志和相关国际会议上发表论文二十余篇，获批发明专利多项。担任多个SCI期刊审稿人。获得浙江省智慧城市促进会科技智库专家、浙江省科协“智慧城市”科技服务团专家、杭州市科技合作促进会学术委员会委员等荣誉称号。

2021.7-至今，杭州电子科技大学计算机学院，特聘教授，研究员。

2019.6-2021.7 之江实验室，高级研究专员。

2013.12-2014.12 纽约州立大学布法罗分校，访问学者。

2011.11-2013.11 浙江大学博士后工作站，博士后。

2010.5-2019.5 华信咨询设计研究院有限公司，主任工程师，教授级高级工程师。

    实验室依托于杭州电子科技大学计算机学院，长期致力于智能感知、泛在计算、物联网及智慧城市信息化技术的研究与应用。实验室围绕无线信号感知与智能计算的交叉领域，重点探索利用射频信号、声学信号等新型感知手段，实现对人体行为、生命体征以及环境状态的非接触式智能感知与理解。

    具体研究方向包括：

    1.无线智能感知
    围绕毫米波雷达与无线信号感知技术，研究非接触式信息获取与环境感知方法，通过信号处理与人工智能技术实现高精度感知与理解，包括人体姿态估计、人脸三维重建、声纹识别、生命体征检测以及微振动感知等，探索无线信号在智能感知领域的新应用。

    2.多模态智能计算
    结合深度学习与信号处理技术，研究多源感知数据的融合方法，实现复杂环境下的高精度感知与理解。重点探索毫米波雷达、视觉、声学等多模态信息的协同感知与智能计算，应用领域包括人机交互、医疗健康、智能驾驶等。

    3.空间感知与智能场景理解
    结合机器人感知与智能计算技术，研究复杂环境中的空间理解与智能决策，包括SLAM相关技术，SAR成像、SAR图像处理与理解、场景理解与环境感知、空间语义生成与环境建模等。

    4.大模型与智能感知融合

    探索大语言模型与多模态模型在感知系统中的应用，提升感知系统的理解与推理能力。包括大语言模型辅助感知理解、感知数据的语义生成与解释、多模态大模型、智能感知系统中的AI推理与决策等。

近年发表的代表性论文：

1.Zhongmin. Jiang, Yingxiao. Wu*, Zhiyuan Zhou, Wenxiang Wang and Jianping Han, PODM-mmHPE: Exploiting Physical Optics based mmWave Data Augmentation via Diffusion Model for Generalizable Human Pose Estimation, in IEEE Internet of Things Journal(2026).

2.Yingxiao. Wu*, Zhiyuan Zhou, Zhongmin. Jiang, Jianping Han and Wenyao Xu, SkeletonHR: Robust Heart Rate Detection under movement conditions using a commodity mmWave radar sensor, in IEEE Sensors Journal(2026).

3.  Changlin Mao, Yingxiao Wu*，Haocheng Ni, Jianpin Han. mmOrbit: Micrometer-level Vibration and Rotor Orbit Measurement via Synchronized Dual mmWave Radars in IEEE Transactions on Mobile Computing (2025). 

4.   Yingxiao Wu*. Changlin Mao, Zhihua Jian, and Jianping Han. Vib2audio: Robust Sound Recovery With Microvibration Sensing via mmWave Radar. in IEEE Sensors Journal (2025). 

5.   Wang, Wenxiang, Jianping Han, Zhongmin Jiang, Zhiyuan Zhou, and Yingxiao Wu*. DEN: Depth Enhancement Network for 3D Object Detection with the Fusion of mmwave Radar and Vision in Autonomous Driving. IEEE Internet of Things Journal (2025). 

6.   Zhang, Xiaoyu, Zhengxiong Li, Chenhan Xu, Luchuan Song, Huining Li, Hongfei Xue, Yingxiao Wu, and Wenyao Xu. mmHand: Towards Pixel-Level-Accuracy Hand Localization Using A Single Commodity mmWave Device. IEEE Internet of Things Journal (2025).

7.   Wu, Yingxiao*, Zhongmin Jiang, Haocheng Ni, Changlin Mao, Zhiyuan Zhou, Wenxiang Wang, and Jianping Han. mmHPE: Robust Multi-Scale 3D Human Pose Estimation Using a Single mmWave Radar. IEEE Internet of Things Journal vol. 12, no. 1, pp. 1032-1046, 1 Jan.1, 2025.   

8.   Yingxiao Wu*, Zhihua Jian, Jianping Han, Wenyao Xu. Human Voice Sensing through Radio-Frequency Technologies: A Comprehensive Review. IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-20, 2024.

9.    Yingxiao Wu*, Haocheng Ni, Changlin Mao, and Jianping Han. Contactless Reconstruction of ECG and Respiration Signals with mmWave Radar based on RSSRnet. IEEE Sensors Journal, vol. 24, no. 5, pp. 6358-6368, 1 March, 2024.

10.    Wu, Yingxiao* and Ni, Haocheng and Mao, Changlin and Han, Jianping and Xu, Wenyao. Non-intrusive Human Vital Sign Detection Using mmWave Sensing Technologies: A Review. ACM Transactions on Sensor Networks 20.1 (2023): 1-36.

11.   Yan, Kunpeng and Shan, Hangguan and Sun, Tengxu and Hu, Haoji and Wu, Yingxiao and Yu, Lu and Zhang, Zhaoyang and Quek, Tony Q. S. Reinforcement learning-based mobile edge computing and transmission scheduling for video surveillance[J]. IEEE Transactions on Emerging Topics in Computing, 2022, 10(2): 1142-1156.

12.    Shao, Yan and Li, Rongpeng and Hu, Bing and Wu, Yingxiao and Zhao, Zhifeng and Zhang, Honggang. Graph attention network-based multi-agent reinforcement learning for slicing resource management in dense cellular network[J]. IEEE Transactions on Vehicular Technology, 2021, 70(10): 10792-10803.

13.  Pan, Jing and Shan, Hangguan and Li, Rongpeng and Wu, Yingxiao and Wu, Weihua and Quek, Tony Q. S.. Channel estimation based on deep learning in vehicle-to-everything environments[J]. IEEE Communications Letters, 2021, 25(6): 1891-1895.

14.   Hong, Chunhua and Shan, Hangguan and Song, Meiyan and Zhuang, Weihua and Xiang, Zhiyu and Wu, Yingxiao and Yu, Xiaoli.A Joint Design of Platoon Communication and Control Based on LTE-V2V[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12):15893-15907.

15.   Wu, Yingxiao and Yang, Zhuolin and Lin, Feng and Xu, Wenyao. Towards batteryfree and wireless sensing for personalized ultraviolet exposure monitoring[J]. IEEE Sensors Journal, 2018, 18(13): 5515-5521.

16.   Feng Lin, Yingxiao Wu, Yan Zhuang, Xi Long, Wenyao Xu, Human Gender Classification: A Review, International Journal of Biometrics (IJBM), Volume 8, Number 3/4, Pages 275-300, December 2016.

17.   Yingxiao Wu, Wenyao Xu, Jason J. Liu, Ming-Chun Huang, Shuang Luan, Yu-Ju Lee, An Energy-Efficient Adaptive Sensing Framework for Gait Monitoring Using Smart Insole , IEEE Sensors Journal (SJ), Volume 15, Issue 4, Pages 2335-2343, April 2015.