I am Entong He. I am a final-year undergraduate at the University of Hong Kong (HKU) pursuing a bachelor’s degree in engineering with a major in computer science. During my previous years I was very fortunate to work with Prof. Daniel Zhuoyu Long (SEEM) at CUHK; Prof. Chenshu Wu (AIoT Lab) and Prof. Yuxiang Yang (QICI) at HKU; Prof. Anne Broadbent and Dr. Connor Paddock (QUASAR) at uOttawa.
(Research) Interests
- Quantum Information: quantum tomography, quantum complexity theory (recently introduced to this field).
- Networking: sensor network localization.
News
- [Mar. 2025] I am joining QICI, HKU CDS as a PhD student in Fall 2025. I will be working with Prof. Yuxiang Yang.
- [May. - Aug. 2024] I joined uOttawa QUASAR group as a Mitacs GRI 2024 research intern. I focused on non-local games and multi-interactive proof, advised by Prof. Anne Broadbent and Dr. Connor Paddock. See here for details.
- [Apr. 2024] I developed a refined variant of quantum-enhanced localization during my exchange at NUS School of Computing. Manuscript submitted to INFOCOM 2025.
- [Dec. 2023] Quantum Ranging Enhanced TDoA Localization is accepted by ICASSP 2024.
- [Aug. 2023] I was awarded a conditional offer of the HKU Presidential PhD Scholarship (HKUPS) by HKU Graduate School. Credits to my supervisors.
- [May. - Aug. 2023] I joined HKU AIoT Lab as a HKU Summer Research Programme 2023 participant focusing on sensor localization with quantum sensing, advised by Prof. Chenshu Wu and Prof. Yuxiang Yang.
- [Jul. 2022] I worked at CUHK SEEM as a research assistant on stocking management with proactive resource allocation scheme, advised by Prof. Daniel Zhuoyu Long.
Publications
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Entong He
arXiv preprint.
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Entong He, Yuxiang Yang, Chenshu Wu
arXiv preprint, under review.
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Entong He, Yuxiang Yang, Chenshu Wu*
2024 IEEE International Conference on Acoustics, Speech and Signal Processing.
Coursework (representative advanced courses, all with A/A+ grades)
- COMP3230 Principles of operating system.
- COMP3252 Algorithm design and analysis (advanced subclass).
- COMP3314 Machine learning.
- COMP3356 Robotics.
- COMP3357 Cryptography.
- COMP3366 Quantum algorithm and computer architercture.
- MATH3904 Introduction to optimization.
- MATH3911 Game theory and strategy.
- MATH4902 Operations research II.
- STAT4610 Bayesian learning.
- STAT7610 Advanced probability (measure-theoretic).
CV of Failure
Although my life has witnessed minor events of success, failure is inevitably the major theme of it. In the private discussion with my college mate Shunzhuang Huang (also a high school upperclassman, now a PhD candidate @ UChicago Booth), I realized that it is rather significant to memorize these failures so as not to be scammed by some insignificant success. Hope that this rapidly-growing document will be a kick on my backside.
See CV of Failure for details.
Friends
I want to express my heartfelt gratitude to my friends who have been supporting me and conducting excellent research. Links to their personal websites are listed below (alphabetical order).