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Zhicheng is a 5th-year PhD candidate in the Integrated Master's-Ph.D. Program at the Institute of Biopharmaceutical and Health Engineering (iBHE), Shenzhen International Graduate School (SIGS), Tsinghua University (THU), advised by Prof. Lan Ma, Prof. Hui-Yan Luo and Prof. Peiwu Qin. Previously, he obtained his B.Eng. degree from the School of Informatics, Xiamen University(XMU), mentored by Prof. Zhirong Shen and Prof. Xiongbiao Luo.
He used to intern at 2012 Labs of Huawei Technologies Co., Ltd and Digitalization Department of CRRC Nanjing Puzhen Co., Ltd.
His research aims to construct efficient AI models and apply them to biomedical domains and the interesting ideas. Explorations include deep learning, multimodal learning and AI for science.
- 2023.09 - present, Ph.D. candidate, Institute of Biopharmaceutical and Health Engineering(iBHE), Shenzhen International Graduate School(SIGS), Tsinghua University(THU), Shenzhen, China.
- 2021.09 - 2023.06, M.S. student, Tsinghua-Berkeley Shenzhen Institute(TBSI), Tsinghua University(THU), Shenzhen, China.
- 2017.09 - 2021.06, B.S., School of informatics, Xiamen University(XMU), Xiamen, China.
- 2014.09 - 2017.06, Shenzhen Middle School(SMS), Shenzhen, China.
- I will be completing my PhD next year and I am currently looking for faculty, postdoc positions, or other full-time opportunities in research labs. Please feel free to contact me if I might be a good fit for your team.
- Looking for researchers with different disciplinary backgrounds to collaborate. Please feel free to reach out if you are interested.
(* stands for equal contribution and † means corresponding author)
- 2025.12 Friends of Tsinghua-BYD Funded Comprehensive Excellence Scholarship (First Prize), Tsinghua University.
- 2025.11 Silver Award Team, Doctoral students' social practice, Tsinghua University.
- 2025.04 Third Place, SIFA Cup Football Competition, SIGS, Tsinghua University.
- 2025.02 Presentation Certificate, The Lancet Summit: cancer control in China.
- 2024.12 Academy Comprehensive Scholarship (Second Prize), SIGS, Tsinghua University.
- 2024.12 Artistic Gold Award, "December 9th" Revolutionary Song Concert, SIGS, Tsinghua University.
- 2024.04 Bronze Poster Award, Nature Conferences: Advancing Health with AI.
- 2023.12 Oral Presentation Award, The 2nd Biopharmaceutical and Health Engineering Cup Graduate Forum, Tsinghua University.
- 2023.12 Academy Comprehensive Scholarship (Second Prize), SIGS, Tsinghua University.
- 2023.06 Third Place, SIFA Cup Football Competition, SIGS, Tsinghua University.
- 2022.12 Outstanding Innovation Award, The 1st Biopharmaceutical and Health Engineering Cup Graduate Forum (Rank: 1/15), Tsinghua University.
- 2022.12 Academy Comprehensive Scholarship (Second Prize), SIGS, Tsinghua University.
- 2022.11 4th Place, Men's Singles, 1st Teacher-Student Badminton Friendly Match, SIGS iBHE, Tsinghua University.
- 2021.12 Second Prize, Orienteering Competition for the 86th Anniversary of the December 9th Movement, Tsinghua University.
- 2021.08 National Information Security Test Program (Level 1) Certificate (NISP-1).
- 2020.05 Third Prize, The 7th "Guangqian Cup" Medical Knowledge Contest, Xiamen University.
- 2020.05 First Prize, The 14th Physics Competition,, Xiamen University.
- 2019.10 Volunteer Service Scholarship, School of Informatics, Xiamen University.
- 2019.10 Academic Excellence Scholarship, School of Informatics, Xiamen University.
- 2018.11 Second Prize, Excellent Practice Report on Ideological and Political Theory Course, Xiamen University.
- 2018.08 Second Prize, Electronic Design Competition for College Students, Fujian Province.
- 2018.05 Winning Award, The 15th Intelligent Connected Innovation Competition, Xiamen University.
- 2017.12 Third Prize, The Maker Competition, Xiamen University.
- 2017.09 Outstanding Student of Military Training, Xiamen University.
- 2025.06 - 2025.08, Reasearch intern, Digitalization Department, CRRC Nanjing Puzhen Co., Ltd., Nanjing, China.
- 2024.06 - 2024.12, Reasearch intern, 2012 Labs, Huawei Technologies Co., Ltd., Shenzhen, China.
- 2024.02 - 2024.06, Teaching Assistant(TA) of Principle and data analysis of magnetic resonance Imaging, SIGS, Shenzhen, China.
- 2020.06 - 2020.09, Cyberspace security engineer intern, Shenzhen Longgang Big Data Center, Shenzhen, China.
- 2019.02 - 2019.06, Teaching Assistant(TA) of Chemistry, Xiamen University Affiliated Keji High School, Xiamen, China.
- ACM Transactions on Computing for Healthcare (HEALTH)
- Archives of Computational Methods in Engineering (Arch. Comput. Methods Eng.)
- BMC Cancer (BMC CANCER)
- BMC Digital Health (BMC Digit. Health)
- BMC Medical Informatics and Decision Making (BMC Med. Informatics Decis. Mak.)
- Breast cancer research (Breast Cancer Res.)
- DARU Journal of Pharmaceutical Sciences (DARU J. Pharm. Sci.)
- Discover Artificial Intelligence (Discov. Artif. Intell.)
- Discover Oncology (Discov. Oncol.)
- Frontiers in Cell and Developmental Biology (Front. cell dev. biol.)
- Frontiers in Oncology (Front. Oncol.)
- Frontiers in Psychiatry (Front. Psychiatry)
- Frontiers in Public Health (Front. Public Health.)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- International Journal of Colorectal Disease (Int. J. Colorectal Dis.)
- Journal of Hematology & Oncology (J. Hematol. Oncol.)
- npj Digital Medicine (npj Digit. Med.)
- SN Comprehensive Clinical Medicine (SN Compr. Clin. Med.)
- Scientific Reports (Sci. Rep.)
- Signal Transduction and Targeted Therapy (Sig Transduct Target Ther)
- Therapeutic Innovation & Regulatory Science (TIRS)
- Visual Computing for Industry, Biomedicine, and Art (VCIBA)
- ACM Multimedia (MM) <2024>
- British Machine Vision Conference (BMVC) <2025>
- Conference on Parsimony and Learning (CPAL) <2026>
- IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) <2025>, <2026>.
- IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) <2024>, <2026>
- IEEE International Conference on Electrical and Computer Engineering Researches (ICECER) <2024>, <2025>
- IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET) <2024>, <2025>, <2026>
- IEEE International Conference on Image Processing (ICIP) <2026>
- IEEE International Conference on Multimedia & Expo (ICME) <2025>, <2026>
- IEEE International Joint Conference on Neural Networks (IJCNN) <2025>, <2026>
- International Joint Conferences on Artificial Intelligence (IJCAI) <2025>, <2026>
- Multimodal Learning and Applications Workshop (MULA) <2025> @ CVPR, <2026> @ CVPR
- Neural Information Processing Systems (NeurIPS) <2024>, <2025>
- Springer International Conference on Multimedia Modelling (MMM) <2025>, <2026>
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Jensen Huang: "Most of the Stanford graduates have very high expectations, and you deserve to have high expectations because you came from a great school. You were very successful. You're top of your class. Obviously, you were able to pay for tuition. Then you're graduating from one of the finest institutions on the planet. You're surrounded by other kids that are just incredible. You naturally have very high expectations. People with very high expectations have very low resilience. And unfortunately, resilience matters in success. You want greatness out of them. And greatness is not intelligence, as you know. Greartness comes from character. And character isn't formed out of smart people. It's formed out of people who suffered. I wish upon you ample doses of pain and suffering."
Quote from <Keynote by NVIDIA CEO Jensen Huang at 2024 SIEPR Economic Summit> [Youtube] [Bilibili] -
Prof. Kaiming He: "I think research is about frustrations, failures, depression. It's all about the negative words you can comp up with. That's just the reality. If you haven't experienced, that means you are not ng the best research. That's just the reality. My life was just like that. I was disappointed maybe 95% of the time, and then I spent 5% of my time finishing that paper then I move into next cycle being depressed, frustrated, anxious until the next work come out."
Quote from <2023 Future Science Prize Laureates Lecture> [Youtube] [Bilibili] -
"When providing feedback to students, think very carefully about what kind of feedback is the most helpful for a student to learn and grow, what's appropriately critical and nurturing at the same time. It's not about showing off who's the smartest in the room, who knows the most literature, etc. Especially if you're in a position of power, you have to be very careful about what long term impact your feedback might have on a student's perception of the field and his/her own abilities, or whether your feedback would make him or her feel zero self worth and want to quit the field entirely."
Quote from <The answer of "What did your mentor say to you that still haunts you?"> [Zhihu] -
Prof. Geoffrey Hinton: "So I think the study techniques depend very much on who you are. And I've noticed among scientists there's huge differences. So I don't like reading. I start reading something, and after I've read kind of one paragraph, I get distracted because it makes me think of something. I'm very bad at reading scientific papers. I will read important papers in the end if I have to. I love talking to people. So I've got a friend called Terry Sejnowski who loves reading. He reads all the literature in neuroscience. And if I want to know something in neuroscience, I don't actually go and read a paper. I call up Terry and he explains things to me. And that's much more fun. I guess in some ways I was fortunate to get the advisor for my PhD, who had the same kind of characteristic. And so he gave me advice early on. Don't read the literature. Reading rots the mind. First solve the problem yourself, and then look in the literature to see if your solution is novel. Now this is the exact opposite advice to what you'll get from almost all people. They'll say you should read the literature. You should carefully before you start on solving puzzles yourself, you should read the literature. I think both views are correct, because it depends on who you are. Some people like reading a lot and acquiring lots of knowledge. Other people are puzzle solvers like me, and they don't like reading lots of stuff. They like a puzzle to solve. So I think there's huge variation in how you should study."
Quote from [Youtube] [Bilibili]
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