Entong He

I am Entong He. I am a year-4 undergraduate student 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 analogs of classical complexity classes (recently introduced to this field), non-local games, quantum learning, quantum sensing.
• Network and Sensing: sensor network localization, wireless sensing.

News

• [Sep. 2024] Invited as a reviewer for ICASSP 2025.
• [May. - Aug. 2024] Joined uOttawa QUASAR group as a Mitacs GRI 2024 participant focusing on non-local games and multi-interactive proof. Advised by Prof. Anne Broadbent and Dr. Connor Paddock @ uOttawa. See https://quasarlab.org/news/special-quasar-seminar-2024/ for details.
• [Apr. 2024] A refined variant of quantum-enhanced localization is developed during my exchange @ NUS School of Computing. Manuscript submitted to INFOCOM 2025.
• [Dec. 2023] Quantum Ranging Enhanced TDoA Localization was accepted by ICASSP 2024.
• [Aug. 2023] Awarded a conditional offer of the HKU Presidential PhD Scholarship (HKUPS) by HKU Graduate School. Credits to my supervisors.
• [May. - Aug. 2023] 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 @ HKU.
• [Jul. 2022] First introduced to research, worked on stocking management with proactive resource allocation scheme. Advised by Prof. Daniel Zhuoyu Long @ CUHK.

Publications

Coursework (representative advanced courses, all with A/A+ grades.)

• COMP3230 Principles of operating system.
• COMP3252 Algorithm design and analysis (advanced subclass).
• 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-theory based).
  Now trying to learn the proof techniques in Ji, Natarajan, Vidick, Wright and Yuen’s result MIP*=RE and a prior result NEEXP in MIP* by Natarajan and Wright.

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.