Our PhD students

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	Jingxuan Liu	AI, specifically natural language processing, text mining, and multi-label classification
3	Xiaotian Ren	Portfolio management and artificial intelligence
4	Yining Wang	Utilising stochastic model-free reinforcement learning for financial portfolio management
5	Yuzheng Feng	AI technology and Computer vision
6	Zhenrong Zhang	Abnormal detection based on computer vision
7	Haoyan Gong	AI, self-supervised learning, video/image processing
8	Ning Xin	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
9	Zhilu Zhang	Portfolio Management with Deep Reinforcement Learning Based Market Sentiment
10	Zhepeng Li	A New Multi-Agents Reinforcement Learning based Portfolio Management System
11	Tong Chen	Extracting Events and their Relations from Natural Language Texts
12	Yiyi Miao	Detection, Localization and Classification of B-Lines in Lung Ultrasound for Differentiation of Pulmonary Fibrosis and Exdate
13	Bolin Ren	Self-Supervised Learning in a Spatial-temporal Attention Based CAD Pre-screening on Carotid Ultrasound Sequences
14	Yangu Zhou	Deep learning based multi-modal multi-party emotion recognition in conversation
15	Zixuan Chu	Artificial intelligence & deep learning & computer vision
16	Huijia Wang	Portfolio Management based on Multi-Agent Deep Reinforcement Learning
17	Huajun Yuan	Leveraging AI and Edge Computing for Real-Time High-Definition Map Generation
18	Biwen Meng	Research of Domain Adaptive Computer-Aided Quantitative Analysis for Digital Pathological Images
19	Ziyu Ye	Research of Online Cyberbullying Detection Based on Contrastive Self-Supervised Learning
20	Jianfeng Wang	Data-Efficient Machine Learning Algorithms, Self-Supervised Learning, Few-Shot Learning
21	Jiahao Wang	Research of Domain Adaptive Computer-Aided Quantitative Analysis for Digital Pathological Images
22	Rong Xia	Deep Learning for Pan-Cancer Epitranscriptomes
23	Zhixiang Lu	Meta Learning for Domain Adaptation in Multimodal Medical Segmentation
24	Ruoyu Sun	The application of the Deep reinforcement learning methods in dynamic portfolio optimization
25	Yulong Li	Embodied Intelligence, Large Language Models in Medical
26	Boqian Wang	IKWYS: The high-quality image generation model based on EEG signals
27	Minze Wang	Stable-Diffusion-based Conditional Generation
28	Zhaodong Wu	The General Medical Model with Medical MLLM, Partially-Shot, Visual and Language Prompts
29	Haoran Zhu	The application of neural networks in healthcare and bioinformatics
30	Zhixing Wu	Nanopore sequencing, Machine learning, Deep learning, Construction and optimization of large-scale models
31	Haochen Xue	Multimodal Large Language Model
32	Dexin Liu	Leveraging Knowledge Bases and Graphs for Enhanced Natural Language Understanding and 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.

Urban forests reduce heat-related mortality, study shows

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Nurturing Syntegrative Wisdom with HeXie Mindset: Compose the Next Movement of Your Life Symphony!

Over 1,500 postgraduates awarded degrees at XJTLU’s 2025 ceremony

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Urban forests reduce heat-related mortality, study shows

City microbes surviving on disinfectants, research reveals

Nurturing Syntegrative Wisdom with HeXie Mindset: Compose the Next Movement of Your Life Symphony!

Over 1,500 postgraduates awarded degrees at XJTLU’s 2025 ceremony

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