Former Students

Postdoctoral Fellow

• Ning Zhang (2018 – 2020)

• Keke Hu (2020 – 2023)

• Yunlong Wang (2020 – 2023)

• Hanying Zhao (2021 – 2024)

Ph.D. Students

• Yuxiao Li (2023): Deep variational models for wireless signal inference and generation

• Qier An (2023): Theory and methods for cooperative visual sensing based on information metric

• Xiaoxiang Li (2023): Cooperative relative localization and formation control for multi-agent networks

• Feihong Yang (2022): Theory and methods for non-cooperative multi-agent scheduling with dynamic constraints

• Tianyu Wang (2022): Single-anchor localization and environment sensing algorithms in indoor harsh environments

• Feng Ge (2022): Research and implementation of UWB array localization algorithms for harsh indoor environments

• Hanying Zhao (2021): Theory and methods for high-accuracy network localization using large-scale antenna arrays

• Kai Gu (2021): Theory and methods for cooperative target detection in mobile multi-agent networks

• Yuanpeng Liu (2021): Theory and algorithm for relative localization in cooperative networks

• Yunlong Wang (2020, w/ Ying Wu): Network cooperative localization in harsh environments

• Yan Liu (2019): Cooperative localization and synchronization for wireless networks

Master Students

• Mengxian Ni (2024): Cryo-ET Nucleosome Object Detection Method Based on Morphological Processing

• Jiawei Zhang (2024): Design and Implementation of an Indoor Localization System Based on Attention Mechanisms and Variational Inference

• Shiyu Zhang (2024): Research on Hiah-precision Indoor Localization Technology based on Pre-training of Channel State Information

• Tianfang Zhao (2023): Recognition algorithm for membrane proteins in CryoEM

• Zhihang Li (2023): A transfer learning method for UWB ranging error mitigation

• Junchen Liu (2023): Indoor localization system based on environment sensing

• Xinyu Zhang (2022): Cryo-EM Particle picking system based on incremental learning

• Yubin Gong (2022): Wi-Fi indoor localization based on MIMO-OFDM system

• Wenxuan Li (2022): Indoor localization system based on 5G sounding reference signals

• Xinyou Qiu (2022): A formation control and autonomous avoidance scheme based on deep reinforcement learning

• Bowen Wang (2021): BLE localization with high accuracy based on polarization sensitive array

• Haipeng Lu (2021): Robust UWB array localization algorithm through passive anchor assistance

• Yanru Huang (2021): Indoor localization algorithm based on radio frequency environment learning

• Kangbo Lin (2020): UWB NLOS error mitigation via semi-supervised learning

• He Zhao (2020, w/ Lin Zhang): Local filtering for Cryo-EM 3D reconstruction via wavelet packet transform

• Yang Cai (2018, USC): Integrated localization and control for multi-agent formation

Former Visitors

• Ziyi Wang, MIT (2020 – 2022)

• Chenghao Guo, MIT (2020 – 2021)

• Zeyu Jia, MIT (2020 – 2021)

• Zhenyu Liu, MIT (2019 – 2020)

Undergraduate Students

• Yijia Zhang (EE’24, AIR Institution for AI Industry Research)

• Jida Zhang (EE’24, Stanford)

• Chaoyi Pan (EE’23, CMU)

• Yilei Man (EE’21, CAS)

• Hansen Wang (EE’21, Tsinghua)

• Ke Hong (EE’21, Tsinghua)

• Fengzhuo Zhang (EE’20, NUS)

• Wenyu Peng (EE’19, UCSD)

• Tiancheng Yu (EE’18, MIT)

• Chenzhi Mao (EE’18, Columbia)

• Hao Wang (EE’17, TBD)

• Ji Wu (EE’17, Cornell)

• Jianyu Wang (EE’17, CMU)

• Zihang Cheng (EE’16, USC)

• Fengyu Zhou (EE’16, Caltech)

• Siyi Yang (EE’16, UCLA)

• Bo Hu (EE’15, Yale)

• Boshuang Huang (EE’15, Cornell)

• Kaiqing Zhang (Automation’15, UIUC)

• Hong Hu (Automation’15, Harvard)

• Yanjun Han (EE’15, Stanford)

• Yuan Deng (CS’15, Duke)