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

  • Deep learning for smart sensing and affective computing
  • Transfer learning and domain adaptation algorithms for robust data-efficient sensing
  • Multimodal learning for IoT sensor fusion and their applications

The students are expected to have solid backgrounds on machine learning and deep learning, and are good at Python programming. Pytorch library is highly preferred in our research team.

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)