We currently offer PhDs in the area of Computer Science and Software Engineering. Our current PhD students and their research areas include:
Name | Research Topic | |
1 | Fengchen Gu | Portfolio Management and AI |
2 | Jinfeng Wang | Utilising AI for medical image-based risk assessment and auxiliary diagnosis |
3 | Jingxuan Liu | AI, specifically natural language processing, text mining, and multi-label classification |
4 | Jingxian Zhou | Exome-based RNA epitranscriptomic sequencing data analysis |
5 | Sifan Song | Utilising deep learning models for biomedical image processing and analysis |
6 | Xiaotian Ren | Portfolio management and artificial intelligence |
7 | Yining Wang | Utilising stochastic model-free reinforcement learning for financial portfolio management |
8 | Yuzheng Feng | AI technology and Computer vision |
9 | Zhenrong Zhang | Abnormal detection based on computer vision |
10 | Haoyan Gong | AI, self-supervised learning, video/image processing |
11 | Yibo He | Multi-analog audiovisual speech recognition |
12 | Ning Xing | Machine Learning, Time Series, Statistical Inference and Actuarial Science The current project research direction is combining Machine Learning, Time Series to address Actuarial Science problems |
13 | Zhilu Zhang | Portfolio Management with Deep Reinforcement Learning Based Market Sentiment |
14 | Yuanxin Su | Framework for AI-Empowered Multimedia Analytic with Embedded AI and Multimodal Data Fusion for AI Internet of Things |
15 | Jieli Chen | AI-Empowered Situation Awareness Geo Map Project for Identifying Potential Threats and Dangerous Situations |
16 | Zhepeng Li | A New Multi-Agents Reinforcement Learning based Portfolio Management System |
17 | Tong Chen | Extracting Events and their Relations from Natural Language Texts |
18 | Yiyi Miao | Detection, Localization and Classification of B-Lines in Lung Ultrasound for Differentiation of Pulmonary Fibrosis and Exdate |
19 | Bolin Ren | Self-Supervised Learning in a Spatial-temporal Attention Based CAD Pre-screening on Carotid Ultrasound Sequences |
20 | Yangu Zhou | Deep learning based multi-modal multi-party emotion recognition in conversation |
21 | Zixuan Chu | Artificial intelligence & deep learning & computer vision |
22 | Hanyue Xu | Graph Learning for Artificial Intelligent Internet of Things (AIoT) in Smart Cities |
23 | Huijia Wang | Portfolio Management based on Multi-Agent Deep Reinforcement Learning |
24 | Huajun Yuan | Leveraging AI and Edge Computing for Real-Time High-Definition Map Generation |
We also collaborate with the XJTLU-JITRI Academy of Industrial Technology in the supervision of PhD students.
Opportunities are available for candidates to undertake an Enterprise Entrusted PhD project founded by our industry partners.