Education
Beihang University
Ph. D in Control Science and Control Engineering, advised by Prof. Lei Guo, Prof. Xiang Yu, and Prof. Kexin Guo.
Shenyuan Honors College (≤3 %).
Ph. D in Control Science and Control Engineering, advised by Prof. Lei Guo, Prof. Xiang Yu, and Prof. Kexin Guo.
Shenyuan Honors College (≤3 %).
Fall 2020 - Spring 2025
Beihang University
M. S in Control Science and Control Engineering.
M. S in Control Science and Control Engineering.
Fall 2019 - Spring 2020
Harbin Engineering University
B. S in Automation.
B. S in Automation.
Fall 2015 - Spring 2019
Main Awards and Honors
Outstanding graduate of Beihang University
2025
Beihang, China
Beihang, China
Academic Excellence Fund for Doctoral Candidate
Funds, ≤1 %, Project leader
Funds, ≤1 %, Project leader
2024 - 2025
Beihang, China
Beihang, China
Outstanding Research Project of Shen Yuan Honors College
Funds, Project leader
Funds, Project leader
2022 - 2024
Beihang, China
Beihang, China
2024 ICCA Best student paper award
Title： TRACE - Trajectory refinement with control error enables safe and accurate maneuvers.
Title： TRACE - Trajectory refinement with control error enables safe and accurate maneuvers.
2024
IEEE International Conference on Control and Automation
IEEE International Conference on Control and Automation
2019 CAC First Prize of Outstanding Paper
Title : Dual-disturbance observers-based control of UAV subject to internal and external disturbances.
Title : Dual-disturbance observers-based control of UAV subject to internal and external disturbances.
2019
IEEE Chinese Automation Conference
IEEE Chinese Automation Conference
Four-times Outstanding Academic Innovation Award
2022 - 2023
Beihang, China
Beihang, China
Two-times First-class Scholarship
2021 - 2022
Beihang, China
Beihang, China
China Classification Society Scholarship
2017
China Classification Society
China Classification Society
First prize in Mathematical Contest in Modeling
2016
Heilongjiang Province
Heilongjiang Province
First prize in the Chinese Mathematics Competitions
2016
China
China
National Scholarship
2016
China
China
Publications
FORESEER: Recognize and utilize uncertainties by integrating data-based learning and symbolic feedback
We present two converged uncertainty prediction frameworks, enabling accurate prediction of two general kinds of uncertainties, respectively.
Accepted by The International Journal of Robotics Research (IJRR), 2025
Feedback favors the generalization of neural ODEs
We present feedback neural networks, showing that a feedback loop can flexibly correct the learned latent dynamics of neural ordinary differential equations (neural ODEs), leading to a prominent generalization improvement.
International Conference on Learning Representations (ICLR), 2025
EVOLVER: Online learning and prediction of disturbances for robot control
We present a framework, namely EVOLVER, to mimic the bio-behavior for robotics to achieve rapid transient reaction ability and high precision steady-state performance simultaneously.
IEEE Transactions on Robotics (T-RO), 2024
Accurate high-maneuvering trajectory tracking for quadrotors: A drag utilization method
Different from standard approaches that achieve precise tracking by feedforward compensating the estimated drag, this work presents a scheme to appropriately utilize drag.
IEEE Robotics and Automation Letters (R-AL), 2022
Agile flight control under multiple disturbances for quadrotor: Algorithms and evaluation
A scheme of anti-disturbance agile flight control is developed for a maneuverable quadrotor unmanned aerial vehicle, subject to the aerodynamic drag, dynamic shift of center of gravity, and motor dynamics.
IEEE Transactions on Aerospace and Electronic Systems (T-AES), 2022
Multiple observers-based anti-disturbance control for a quadrotor UAV against payload and wind disturbance
This paper presents a multiple observers-based anti-disturbance control scheme against multiple disturbances for a quadrotor unmanned aerial vehicle.
Control Engineering Practice, 2020
Flight control for quadrotor safety in the presence of CoG shift and loss of motor efficiency
A safety control strategy based on a novel nonlinear disturbance observer and geometric control is developed for a quadrotor unmanned aerial vehicle, subject to the disturbances caused by center-of-gravity shift and loss of motor efficiency.
International Conference on Unmanned Aircraft Systems (ICUAS), 2022
Dual-disturbance observers-based control of UAV subject to internal and external disturbances
This paper presents an embedded micro loop to enhance the anti-disturbance performance for unmanned aerial vehicles.
China Automation Conference, 2019