He Wang

He Wang is an Associate Professor at University College London

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Join My Lab

[What background am I looking for?] In general, I am looking to working with people on research topics of mutual interests. If you would like to do a PhD or joint PhD with me, I look at multiple criteria but mainly: reputation of the undergraduate (graduate) school, GPA, the quantitative GRE/IELTs score, mathematics skills (grades in mathematics courses), and programming skills (including the design of systems and algorithms, design of experiments, debugging, ...). Mathematics and programming are crucial in the type of research in my group. If you would like to do a post-doc, it depends on the required experiences and skills of the project. An exception is if you would like to apply for a post-doctoral fellowship under my hosting, then again we will need to discuss a proper research topic.
[PhD students] I am constantly looking for passionate PhD students. Potential areas include Computer Graphics, Computer Vision and Machine Learning. If you are wondering if you should get a PhD or why in computer science, I recommend this article. If you decide to apply, normally you will need to apply for a Computer Science (4 Year Programme) MPhil/PhD. The PhD position is separate from PhD funding. The funding information can be found here. Different scholarships have different deadlines. UCL has a vast number of PhD scholarships including funding supporting all students, or country-based scholarships (e.g. CSC-UCL), or minority groups. You are also welcome to apply if you have your own funding source e.g. from your government or self-funded.
If you are interested in joining us as a PhD student, click here
  1. Please read the PhD application process and make sure that you will meet the minimum requirements.
  2. Email me all the following:
  3. -Your full CV
    -All your transcripts, including your undergraduate, master's or even PhD's if applicable
    -A brief research proposal. Please refer to the PhD application process. The proposed research topic should be within our research area and the proposal needs to explain the research topic and how your background would contribute to such a topic. Some potential topics we are recruiting PhDs for can be found here.
    -If you already have publications, please send them too.
  4. If there is a good match, I will contact you and explain how to prepare a formal application (this step can take some time)
  5. You submit a formal application and go through the whole application process.

  6. (Note 1: Please understand that I receive many emails enquiring about PhDs. I can only reply to your email after I receive all the above documents.)
    (Note 2: Please do realise that me being happy to help you to prepare your application does not necessarily mean you will be offered a PhD position and PhD funding automatically. To ensure fairness, UCL has transparent processes for PhD competition and PhD funding competition. Especially for funding competition, all candidates will be ranked across the whole faculty or even the whole university which is very competitive. All candidates are strongly encouraged to apply for all possible PhD funding they are eligible for.)
    (Note 3: If I do not reply ultimately or say there is not a good match, please do not take this as negative feedback on your qualifications and background. In 9 out of 10, it is either I do not have the expertise in your proposed research or the other way around. This is simply a mismatch.)
    (Note 4: As for Phd Scholarship competition, its requirements are higher than the PhD position. Other than a degree from a top university, good GPA and a good research proposal, normally the winners already have papers in top conferences or journals. If you would like to further increase your chance, you could look at our internship/remote internship opportunities below.)
[Visiting/Joint PhD students] You are welcome to visit my lab. Normally you are expected to have your own funding source to support your visit. Some governments have dedicated programmes such as CSC-UCL. If you decide to apply, click here
  1. For joint PhDs, your university will need to have a joint PhD-programme with UCL.
  2. Email me all the following:
  3. -Your full CV
    -A brief research proposal, which should contain your research background, track record and the proposed research you would like to do during your visit
    -If you already have publications, please send them too.
  4. If there is a good match, I will contact you and explain how to prepare a formal application
  5. You submit a formal application and the department will assess it.

  6. (Note: Please understand that I receive many emails inquiring about visiting PhDs. I can only reply to your email after I receive all the above documents.)
[Visiting Researchers/Scholars] I am always excited to work with peers/colleagues. Please email me with details of the intented visit. Normally you are expected to have your own funding. Some governments have dedicated programmes such as CSC-UCL.
[Post-docs] I post job ads on my website whenever we are recruiting. I am happy to support post-doc funding applications with a legit research project. There are many funding sources. Please email me with a CV and a publication list.
[Internship/Remote Internships] Alas, there is usually limited funding for this. But if you have your own funding and want to gain research experiences, it is possible to do a (remote) internship with us, and please click here
  1. The main goal of this internship is to get you a first author paper in the top conferences. This is very useful if you want to apply for a PhD scholarship. Also, this will enable us to know better each other especially regarding our work styles, which is very important for PhD.
  2. The internship requires major effort not only from you but also me, as I work closely with my students. I would suggest that you carefully consider whether you will have enough time or energy to invest into our collaboration before reaching out to me.
  3. Normally this internship will involve regular meetings, making progresses every week, and aiming for submitting papers into conferences with specific deadlines. So there is time pressure. This will give you a peek of what PhD is like.

Research Group

Baiyi Li

Baiyi Li

PhD student

Sara Jones

Sara Jones

PhD student

Shaun Buckley

Shaun Buckley

PhD student

Alhanouf Alolyan

Alhanouf Alolyan

PhD student

Mou Li

Mou Li

PhD student

Nanzhu Chen

Nanzhu Chen

PhD student

Miranda Horne

Miranda Horne

PhD student

Xiaoyuan Yang

Xiaoyuan Yang

PhD student

Binglun Wang

Binglun Wang

PhD student

Doga Yilmaz

Doga Yilmaz

PhD student

Student Supervision

PhD Supervision

  1. Binglun Wang (2024/10-present), Human Motion Analysis
  2. Doga Yilmaz (2024/10-present), Crowd Analysis
  3. Xiaoyuan Yang (2023/01-present), Cloth Simulation
  4. Miranda Horne (2022/10-present), Deep Learning and PDEs
  5. Nanzhu Chen (2022/2-present), Human Motion Analysis
  6. Mou Li (2021/10-present), Deep Learning and PDEs
  7. Alhanouf Alolyan (2021/4-present), Crowd and Environment
  8. Shaun Buckley (2020/10-present), Sound Analysis
  9. Sara Jones (2020/04-present), Machine Learning for Early Brain Tumor Detection
  10. Baiyi Li (2019/09-present), Machine Learning on Human Motions

PhD Co-supervision

  1. Niladri Dutt (2024/10-present), with Prof Niloy Mitra
  2. Ruijun Sun (2024/10-present), with Prof Anthony Steed
  3. Ziyang Chen (2024/10-present), with Dr Kaan Aksit
  4. Caitlin Allison (2023/10-present), AI4Science (with Prof Frank Sobott)
  5. Mohsen Azarmi (2022/11-present), Pedestrian Intention Prediction (with Dr Mahdi Rezaei)
  6. Yanjie Song (2022/10-present), AI4Science (with Dr Xiaohui Chen)
  7. Oluwaseun Coker (2022/10-present), AI4Science (with Professor Peter Jimack and Dr Amirul Khan)
  8. Usamah Adia (2022/10-present), AI4Science (with Professor Andrew Sleigh and Dr Amirul Khan)
  9. Jose Lopez Florido (2022/10-present), AI4Science (with Professor Peter Jimack and Dr Amirul Khan)
  10. Mingrui Zhang (2020/10-present), Bayesian & Deep Learning (with Dr Georgios Aivaliotis and Dr Leonid Bogachev)

Alumni

PhD Students

  • Dody Dharma (2019/09-2024/11), then faculty at Institut Teknologi Bandung, Bandung, Indonesia
  • Jonathan Coney (2020/09-2024/10)
  • Jiangbei Yue (2020/11-2024/10), then postdoc at the University of Exeter
  • Maria-Luisa Taccari (2020/10-2024/05, Outstanding PhD Thesis), then Scientist at the European Centre for Medium-Range Weather Forecasts
  • Kyle Le Huray (2019/09-2024/03), then Scientist Thermo Fisher Scientific
  • Zheyan Zhang (2018/11-2024/03)
  • Jialin Zhu (2019/12-2024/03), then postdoc at the University College London
  • Yue Zhang (2019/09-2024/03), then postdoc at the University of Edinburgh
  • Deshan Gong (2019/10-2023/12), then postdoc at the University of Hong Kong
  • Feixiang He (2018/11-2023/10), then faculty at Central South University, China
  • Usman Nazir (2021/05-2022/04), visiting PhD student
  • Yunfeng Diao (2019/09-2020/09), visiting PhD student, now a faculty at Hefei University Of Technology, China
  • Xue Sun (2019/09-2020/05), visiting PhD student
  • Yong Ji (2019/03-2020/02), visiting PhD student

Master Students

  • Yongkai Deng, Wenhao Rao, and Chenyang Zhao (Graduated, 2024)
  • Huayang Jiang, Xiaoyuan Yang, Yiu Ho, Zhiyang Zhang and Jinyuan Zhu (Graduated, 2022)
  • Tian Zeng, Xuchen He (Graduated, 2021)
  • Benjamin Sweeney, Danyue Cheng, Govind Venkatesh, Jake Meegan, Xiaotong Ning, Ziyan Wang (Graduated, 2020)
  • Yunpeng Wu, Liam Dawson, George Burton, Reese Smith (Graduated, 2019)
  • Salma Hussein, Pok Law, Alastair Paterson (Graduated, 2018)
  • Yufei Wu (Graduated, 2017)

Copyright since 2016 He Wang