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
7
Zhilu Zhang
Portfolio Management with Deep Reinforcement Learning Based Market Sentiment
8
Zhepeng Li
A New Multi-Agents Reinforcement Learning based Portfolio Management System
9
Tong Chen
Extracting Events and their Relations from Natural Language Texts
10
Yiyi Miao
Detection, Localization and Classification of B-Lines in Lung Ultrasound for Differentiation of Pulmonary Fibrosis and Exdate
11
Bolin Ren
Self-Supervised Learning in a Spatial-temporal Attention Based CAD Pre-screening on Carotid Ultrasound Sequences
12
Yangu Zhou
Deep learning based multi-modal multi-party emotion recognition in conversation
13
Zixuan Chu
Artificial intelligence & deep learning & computer vision
14
Huijia Wang
Portfolio Management based on Multi-Agent Deep Reinforcement Learning
15
Huajun Yuan
Leveraging AI and Edge Computing for Real-Time High-Definition Map Generation
16
Biwen Meng
Research of Domain Adaptive Computer-Aided Quantitative Analysis for Digital Pathological Images
17
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.