Our PhD students

    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.

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