王烟濛

发布时间:2025-04-17浏览次数:1647文章来源:U8集团

姓名:王烟濛

职称:讲师

部门:计算机技术研究所

研究方向:边缘智能、联邦学习、分布式优化

邮箱:yanmengwang@njupt.edu.cn

 

个人简介:

王烟濛,女,U8集团校聘副教授。博士毕业于香港中文大学(深圳)计算机与信息工程专业,获香港中文大学博士学位,博士导师为IEEE Fellow张纵辉教授。2024年4月,加入U8集团,主要研究方向包括:边缘智能、联邦学习、分布式优化等。近年来,已在IEEE JSAC、IEEE TNNLS、IEEE IoT、IEEE TVT等高水平国际期刊和AAAI、IEEE ICASSP等国际顶级学术会议上发表论文10余篇,并受邀担任IEEE JSAC、IEEE TNNLS、IEEE TSP、IEEE TVT、IEEE ICASSP等多个国际期刊及会议的审稿人。

 

科研成果:

Ø  期刊论文

[1]      Yanmeng Wang, Yanqing Xu, Qingjiang Shi, and Tsung-Hui Chang*, “Quantized federated learning under transmission delay and outage constraints,” IEEE Journal on Selected Areas in Communications (JSAC), 2022, 40(1): 323-341.(CCF-A)

[2]      Yanmeng Wang, Qingjiang Shi, and Tsung-Hui Chang*, “Why batch normalization damage federated learning on non-iid data?,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025, 36(1): 1692-1706.(CCF-B)

[3]      Mu Zhou, Yanmeng Wang*, Zengshan Tian, Yinghui Lian, Yong Wang, and Bang Wang, “Calibrated data simplification for energy-efficient location sensing in internet of things,” IEEE Internet of Things Journal (IoT), 2019, 6(4): 6125-6133.

[4]      Mu Zhou, Yanmeng Wang*, Yiyao Liu, and Zengshan Tian, “An information-theoretic view of WLAN localization error bound in GPS-denied environment,” IEEE Transactions on Vehicular Technology (TVT), 2019, 68(4): 4089-4093.

Ø  会议论文

[1]      Yanmeng Wang, Qingjiang Shi and Tsung-Hui Chang, “Batch normalization damages federated learning on non-iid data: Analysis and remedy,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023.(CCF-B)

[2]      Yanmeng Wang, Yanqing Xu, Qingjiang Shi and Tsung-Hui Chang, “Robust federated learning in wireless channels with transmission outage and quantization errors,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021.

[3]      Zhiwei Tang, Yanmeng Wang, and Tsung-Hui Chang, “z-SignFedAvg: A unified sign-based stochastic compression for federated learning,” AAAI Conference on Artificial Intelligence (AAAI), 2024.(CCF-A)

[4]      Mu Zhou, Yanmeng Wang, Yong Wang, Xiaolong Geng, and Zengshan Tian, “EPOCH: Error bound analysis towards indoor WLAN positioning under colored gaussian noisy channel,” IEEE International Conference on Communications (ICC), 2019.

[5]      Mu Zhou, Yanmeng Wang, Zengshan Tian, and Qiao Zhang, “Marvel: Mann-Whitney rank-sum testing via segments labeling for indoor pedestrian localization,” IEEE International Conference on Communications (ICC), 2018.