Group
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)
Alumni
- 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)