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
12
Zhilu Zhang
Portfolio Management with Deep Reinforcement Learning Based Market Sentiment
13
Yuanxin Su
Framework for AI-Empowered Multimedia Analytic with Embedded AI and Multimodal Data Fusion for AI Internet of Things
14
Jieli Chen
AI-Empowered Situation Awareness Geo Map Project for Identifying Potential Threats and Dangerous Situations
15
Zhepeng Li
A New Multi-Agents Reinforcement Learning based Portfolio Management System
16
Tong Chen
Extracting Events and their Relations from Natural Language Texts
17
Yiyi Miao
Detection, Localization and Classification of B-Lines in Lung Ultrasound for Differentiation of Pulmonary Fibrosis and Exdate
18
Bolin Ren
Self-Supervised Learning in a Spatial-temporal Attention Based CAD Pre-screening on Carotid Ultrasound Sequences
19
Yangu Zhou
Deep learning based multi-modal multi-party emotion recognition in conversation
20
Zixuan Chu
Artificial intelligence & deep learning & computer vision
21
Hanyue Xu
Graph Learning for Artificial Intelligent Internet of Things (AIoT) in Smart Cities
22
Huijia Wang
Portfolio Management based on Multi-Agent Deep Reinforcement Learning
23
Huajun Yuan
Leveraging AI and Edge Computing for Real-Time High-Definition Map Generation
24
Biwen Meng
Research of Domain Adaptive Computer-Aided Quantitative Analysis for Digital Pathological Images
25
Ziyu Ye
Research of Online Cyberbullying Detection Based on Contrastive Self-Supervised Learning
We currently offer PhDs in the area of Computer Science and Software Engineering. Our current PhD students and their research areas include:
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.