University    G-Scholar    DBLP    ORCID    arXiv    GitHub

Selected Publications

For the most recent works, the pre-print can be found on arXiv, the code are hosted on GitHub.

Federated Learning

• 📑 Xie X., Hu C., Ren H. and Deng J. A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective, Neurocomputing, 2024. [ Elsevier | Pre-Print | Github-Page ]

• 📑 Hu C., Deng J., Xie X., and Ma X., FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition, arXiv:2408.17090, 2024. [ Pre-Print | Code-PyTorch ]

• 📑 Ren H., Deng J., Xie X., Ma X. and Ma J., Gradient Leakage Defense with Key-Lock Module for Federated Learning, arXiv:2305.04095, 2023. [ Pre-Print | Code-PyTorch ]

• 📑 Ren H., Deng J. and Xie X., GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning, ACM Transactions on Intelligent Systems and Technology (TIST), 2022. [ ACM | Pre-Print | Code-PyTorch | Patent (WO2022223629A1, Pending) ]

3D Representation

• 📑 Deng J. and Xie X., 3D Interactive Segmentation with Semi-Implicit Representation and Active Learning, IEEE Transactions on Image Processing (TIP), 2021. [ IEEE | Code-Xcode ]

Grants and Projects

My works have been funded by the following research councils and industry partners in various ways. I am grateful for the supports.

• 2024-2029, EPSRC (EP/Y028813/1), National Edge AI Hub for Real Data: Edge Intelligence for Cyber-Disturbances and Data Quality, £15M - fEC (incl. contributions from industry partners) Led by Newcastle (Durham, Co-I). [ UKRI | Durham ]

• 2022, Intel®, FPGA Academic Program Award, 2x PAC D5005 (Swansea, PI).

• 2021, Higher Education Funding Council for Wales (HEFCW), Capital Funds, £35K (Swansea, Internal Sub-Project, Co-I).

• 2018, NVIDIA®, Academic Hardware Grant Program Award, 1x Quadro P6000 (Swansea, PI).

Our team support open-source and open-science initiatives in a greatest possible manner under the permission of ethics, privacy, confidentiality and commercial agreements. We are expecting the potential collaborators are also in favor of the openness .

Team Members

So far, I have successfully supervised 1 Ph.D and 1 M.Res students up to their completion. I am very fortunate to work with the following colleagues and students.

Research Students

• 2024, Research Student, Ms. Yueyue Hu (Primary, Durham University).

• 2024, Research Student, Mr. Yongzhi Liao (Ext.-Co- with Prof. Di Lu, Xidian University).

• 2024, Research Student, Mr. Jianqiang Li (Ext.-Co- with Dr. Liumei Zhang, Xi'an Shiyou University).

• 2023, Research Student, Mr. Tianlong Feng (Ext.-Co- with Prof. Di Lu, Xidian University).

• 2023, Research Student, Ms. Mridula Vijendran (Co- with Dr Hubert Shum, Durham University).

• 2023, Research Student, Mr. Tianyu Zhang (Co- with Dr. Yang Long, Durham University).

• 2022, Research Student, Mr. Chen Hu (Ext.-Co- with Prof. Xianghua Xie, Swansea University), partially funded by Faculty of Science and Engineering.

• 2021, Research Student, Mr. Yiming Li (Ext.-Primary- with Prof. Xianghua Xie, Swansea University).

• 2020, Research Student, Ms. Yi Hu (Ext.-Primary- with Prof. Xianghua Xie, Swansea University).

• 2019, Research Student, Dr. Hanchi Ren 🎓 (Co- with Prof. Xianghua Xie, Swansea University), partially funded by Engineering and Physical Sciences Research Council (EPSRC), passed Ph.D viva in Mar 2023 (➔ Academic Tutor at Swansea University).

• 2018, Research Student, Ms. Katarzyna Szymaniak🎓 (Primary, Swansea University), passed M.Res viva in Oct 2019 (➔ Ph.D Student at University of Edinburgh).

Visiting Scholars

• 2024, Visiting Scholars (Durham), Dr. Lei Jiang, Research Fellow, University College London (UCL), funded by Engineering and Physical Sciences Research Council (EPSRC).

• 2019, Visiting Scholars (Swansea), Dr. Di Lu, Lecturer, XiDian University, funded by National Natural Science Foundation of China (NSFC).

• 2018, Visiting Scholars (Swansea), Dr. Liumei Zhang, Lecturer, Xi'an Shiyou University, funded by China Scholarship Council (CSC).

For prospective students who are interested in reading a Ph.D with me on Computer Vision and Machine Learning, please email me with your CV and research statement. I am expecting you have a solid background in Computer Science or Applied Mathematics or related subjects, (i.e. Pure Mathematics, Physics, EE, Comm.), professional programming skills, a deep sense of curiosity, and persistence. A recommendation letter directly from your current supervisor is essential. If there is no explicit evidence to demonstrate your research skills (i.e. publications on recognisable venues, open-source project experience), another recommendation letter from an academic referee is required. You need to meet the entry requirements of University.

There are a number of EPSRC/university/faculty/departmentally funded Ph.D studentships at Durham every year which (most-likely-only) cover a tuition fee at the UK-Home level and a living stipend. The deadline for applying is typically in early Jan with a decision being made in Feb/Mar and a non-negotiable start date of 1st Oct. You need to secure an (unconditional) offer before submitting your studentship application. The studentship is very competitive, and the applicants are assessed by an award committee mainly based on applicants' performance, potential, track record and academic background. If you are interested, please get in touch with me by the 15th Nov for the coming round.

国家公派出国留学项目: For Chinese students, I am more than happy to support your CSC applications. More information can be found here or there. The scholarship cover annual allowance etc. and the full cost of tuition fees (only via University nomination routine) to successful Chinese national candidates.

Professional Activities and Awards

• Technical Program Co-Chair of International Conference on AI-generated Content (AIGC) 2023-24.
  

• Publication Chair of International Conference on AI in Healthcare (AIiH) 2024.
  

• Co-Chair of BMVA Computer Vision Summer School (CVSS) 2024.
  

• Website Chair of British Machine Vision Conference (BMVC) 2015.
  

• Local-Organiser of BMVA Computer Vision Summer School (CVSS): 2014, 2015, 2016.
  

• Local-Organiser of Medical Image Understanding and Analysis (MIUA) 2012.
  

• Grant Reviewer: UKRI (Member of EPSRC Peer Review College), NIHR, Rosetrees Trust etc.

• Journal Reviewer: TPAMI, TNNLS, IJCV, TIP, TKDE, TMM, TIST, TVCG, TVT, TETCI, PR, NN, JBHI etc.

• Conference Reviewer: CVPR 2019-24, ICCV/ECCV 2019-24, BMVC 2017-23, ACCV 2024, etc.

Teaching and Mentoring

I am teaching or taught the following modules:

• COMP52715 (MSc): Deep Learning for Computer Vision and Robotics (Module Lead), Durham University, 2023-

• COMP2271 (BSc/MEng Year-2): Data Science - Computer Graphics (Sub-Module Lecturer, Module Lead 2024-), Durham University, 2023-

I am a Fellow of the Higher Education Academy (FHEA). I was the assessment officer of CS department at Swansea University in 2018-2022, where I led the assessment team during the COVID and faculty restructure periods in 2019-2022. I received Consistent Excellence in Teaching Award at Durham University in September 2024.

Office Hour: Wednesday 4:00pm-6:00pm (During Term Time, Book with Me) .

Email Response: I will try my best to get back to you ASAP, but it does not guarantee it can meet your expectation. A gentle reminder is always welcome. (A) For module related queries, I will answer them in a batch manner on Monday & Wednesday & Friday. (B) For any other urgent queries, I will answer them on a daily basis given that I have time to do so.

Academic Reference: For University UG/PGT students, please note that I am NOT able to provide you academic references UNLESS (A) you are working directly with me (primary supervisor) on your dissertation projects for at least 3-months in the last 18-months, OR (B) you currently are my academic advisee. You should ALWAYS ask permission to pass my contact to your employer or University admission office for every reference. Any unauthorised reference request will be ignored. Please be mindful of how many references you are requesting.

Rand²AI Lab

We are a group of researchers having common interests in visual computing and machine learning ranging from theory through methodology to applications in physical sciences.

Updated: September 2024