Hejun Huang  

I am a 2nd-year master student at University of Michigan, Ann Arbor, advised by Prof. Max Z. Li. My research interests lie in the intersection of control theory, optimization, machine learning, and reinforcement learning, with a focus on designing reliable learning algorithms for autonomous systems and cognitive intelligence with privacy concerns.

Before coming to Michigan, I received my M.S. from Chinese University of Hong Kong (CUHK). During my master, I was fortunate to be advised by Dr. Dongkun Han at Department of Mechanical and Automation Engineering, and collaborated with Mr. Zhenglong Li and Prof. Vincent W.L. TAM. I received my B.Eng. in Mechatronics Engineering from North China Electric Power University.

I was a full-time research assistant at CUHK from 2020 to 2022, and a Intellectual Property Department Intern at Daimler Greater China Investment Co., Inc. in 2019.

Google Scholar  /  CV  /  LinkedIn  /  GitHub

profile photo
                Email: hejun@umich.edu
News

Research Interests

My research is at the intersection of control theories, reinforcement learning, optimization, statistical inference, robot locomotion and path planning. I design algorithms for autonomous agents, with the vision to advance their stability, reliability, safety and privacy.
  • Control theories and Reinforcement Learning:
    • Region-of-attraction guided controller meets Reinforcement learning: [CCTA'22]
  • Optimization and Statistical inference:
    • Sum-of-squares programming under Gaussian Processes: [CCDC'22] [ASCC'22]
  • Privacy-concerned and Path planning:
    • Remote Identification with drone's surveillance and privacy maintenance: [ATM'23]
PrePrint
Privacy-Aware Design and Analysis of Drone Remote Identification Systems
Hejun Huang, Yuxuan Fang, Billy Mazotti, Joseph Kim, Kaitlyn X. Fa, Max Z. Li
Journal (to appear)

We propose the metrics termed Plausibly Reachable Zone (PRZ) and Envelope (PRE), which are designed to estimate the privacy score of a local region using dynamic data.
Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization
Zhenglong Li, Hejun Huang, Vincent Tam
Conference (to appear)

We propose RIPO, a framework integrating both RL-based trading agents and BF-based risk controllers to achieve high long-term profits under acceptable short-term risks.
Publications       (*: Equal Contributions)
Remote Identification Trajectory Coverage in Urban Air Mobility Applications
Hejun Huang*, Billy Mazotti*, Joseph Kim, Max Z. Li
USA/Europe Air Traffic Management Research and Development Seminar (ATM), 2023

We propose an idealized analysis of the coverage proportion within the Remote Identification systems for uncrewed aircraft systems, numerical simulations based on San Diego's urban dataset are executed to verify the result.

Barrier certified safety learning control: When sum-of-square programming meets reinforcement learning
Hejun Huang, Zhenglong Li, Dongkun Han
IEEE Conference on Control Technology and Applications (CCTA), 2022

We combine Sum-of-Squares programming with Reinforcement Learning to generate real-time controller for diverse robotic applications.
Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems
Dongkun Han, Hejun Huang
Asian Control Conference (ASCC), 2022

We use a Region-of-Attraction guided controller, to stabilize the partially unknown dynamical system approximated by Gaussian Processes. Strict probability statement is assessed to guarantee stabilization.
On Estimating the Probabilistic Region of Attraction for Partially Unknown Nonlinear Systems: An Sum-of-Squares Approach
Hejun Huang, Dongkun Han
Chinese Control and Decision Conference (CCDC), 2022

We introduce a Lyapunov-Barrier function into a partially unknown system and estimate its certified Region-of-Attraction, to assess the effect of noises on stability.

Honors and Awards
  • 2023 Michigan Aerospace Engineering Department Fellowship, UMich
  • 2021 Silver Award in Pedagogical Innovation Category, Teaching and Learning Innovation Expo, CUHK
  • 2021 People's Prize, Teaching and Learning Innovation Expo, CUHK
  • 2019 Innovation Achievement Award (Highest Student Academic Honor of NCEPU)
  • 2019 Outstanding Undergraduates of NCEPU
  • 2018 Haopeng Mechatronics Acedemic Scholarship
  • 2018 Second Place, National Challenge Cup Competition of Science Achievement, China
  • 2018 First Place, Challenge Cup Competition of Science Achievement, Hebei, China
  • 2018 Second Place, National Mechanical Product Digital Design Competition, China
  • 2017 Second Place, Enactus China Competition
  • 2017 Bronze Award, Go-Green-in-the-City, Schneider Electric, China Region
  • 2017 Third Place, National Mechanical Product Digital Design Competition, China
  • 2017 Innovation and Entrepreneurship Award, Ministry of Industry and Information, China
  • 2017 NCEPU First-Class Scholarship
  • 2016 Haopeng Mechatronics Acedemic Scholarship
  • 2016 First Prize in City Band Competition, Baoding, Hebei, China
    • Academic Service

    • Summer Research Project, UMich, 2023.
    • Conference Reviewer: CCTA'22.
    • Conference Volunteer: ACC'22.
    • Teaching Assistant: ENGG1910 Demystifying AI, CUHK, 2022.
    • Summer Research Project, CUHK, 2021, 2022.
    Misc

    • Arts: I've been passionate about band shows and practicing the saxophone for over a decade. During my undergrad, I played saxophone in Ni-Nan-Yi, a multi-ethnic and diverse band. Our band was honored with the 'First Prize in the Baoding City Band Competition.' Besides regular campus performances, we organized a charity concert and donated 7,000 CNY to students in Daliangshan, Sichuan.
    • Sports: I like soccer, badminton, swimming and hiking.

    Last Update: Nov. 2023

    Website Template