I am interesed to supervise or collaborate the following research topics:

  • Deep learning for wireless sensing and affective computing
  • Transfer learning and domain adaptation for data-efficient sensing
  • Multimodal learning for IoT applications

The students are expected to have solid backgrounds on machine learning, deep learning and [wireless sensing]. Pytorch library is highly preferred in our research team. Please contact me if you are interested.

Ph.D. Students

  • Qian Hanjie (AI-aided Structural Health Monitoring)
  • Huang He (WiFi-based Sensing and Localization)
  • Cao Haozhi (Domain Adaptation for Multimodal Semantic Segmentation)
  • Chen Siyu (Graph Learning for Mobile Computing)

MSc Research Projects

  • Tang Shijie - Bimodal Learning for WiFi-Vision Human Pose Estimation
  • Yan Mingxue - Vital Sign Detection via mmWave Radar and Deep Learning
  • Huang Shunyu - Graph Transfer Learning for Cross-Modal Supervision
  • Wang Junfei - Federated Learning with Blockchains

Undergraduate (Final Year Project)

  • Chen Xinyan (Multimodal Learning for Human Pose Estimation)


  • PhD Dazhuo Wang (Scientist, A*star) [WiFi-based Human Activity Recognition Across Environments] (2018-2022)
  • Msc Deng Lang (UESTC, PhD) [WiFi and Camera Fusion for Smart Sensing] (2021-2022)
  • Msc Zhou Yunjiao (NTU, PhD) [Multimodal Learning for Road Segmentation in Autonomous Driving] (2021-2022)
  • Msc Yang Zhiyuan (NTU, PhD) [Point Cloud Model Compression] (2021-2022)
  • Msc Shi Mengqi [Adversarial Learning for Multimodal Segmentation] (2021-2022)
  • FYP Mao Jiangtian (NUS, Msc) [Self-Supervised Learning for WiFi Sensing] (2018-2012)
  • PhD Dr. Xu Yuecong (Scientist, A*star) [Deep Learning for Video Analytics] (2017-2021)
  • Msc Hu Jiaxing (Alibaba) [WiFi-based Respiration Detection] (2020-2021)
  • Msc Lyu Qi (HUAWEI) [Real-time WiFi Sensing System] (2020-2021)
  • FYP Pan Xingmeng (RWE Supply & Trading GmbH) (2015-2019)