Entong He | The University of Hong Kong

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. 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; Prof. Penghui Yao and Mingnan Zhao (Quantum CS @ NJU).

(Research) Interests

Quantum Information: quantum information theory, quantum complexity theory.
Networking: sensor network localization.

News

[June. 2025] I am visiting TCS @ NJU as a summer research intern, I will be advised by Prof. Penghui Yao and working on complexity of state synthesis problems.
[May. - Aug. 2024] I joined uOttawa QUASAR group as a Mitacs GRI 2024 research intern. I focused on non-local games, advised by Prof. Anne Broadbent and Dr. Connor Paddock. See here for details.
[Dec. 2023] Quantum Ranging Enhanced TDoA Localization is accepted by ICASSP 2024.
[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 and preprints

Topics in Non-local Games: Synchronous Algebras, Algebraic Graph Identities, and Quantum NP-hardness Reductions

Entong He

arXiv preprint.

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QuERLoc: Towards Next-Generation Localization with Quantum-Enhanced Ranging

Entong He, Yuxiang Yang, Chenshu Wu

arXiv preprint, under review at MobiHoc 2025.

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Quantum Ranging Enhanced TDoA Localization

Entong He, Yuxiang Yang, Chenshu Wu*

2024 IEEE International Conference on Acoustics, Speech and Signal Processing.

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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.
COMP3516 Data Analytics of IoT.
MATH3904 Introduction to optimization.
MATH3911 Game theory and strategy.
MATH4902 Operations research II.
STAT4610 Bayesian learning.
STAT7610 Advanced probability (measure-theoretic).

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).