Bangyu Lan

Master Student
Faculty of Electrical Engineering, Mathematics and Computer Science / RAM Lab ,
University of Twente (UT)
bangyu.rit@gmail.com
bangyulan@163.com

Github CV

About me

I am a Master student from RAM Lab, University of Twente, supervised by Prof. Kenan Niu.

I have one year research experience from 2021 to 2022 doing the audio-visual generation task in Deep Learning & Computer Vision on Action Lab, supervised by Prof. Yu Kong and Prof. Matthew Wright. This experience deepen my knowledge in machine learning, deep learning and computer vision. I am deeply grateful to them for any guidance, efforts and supports!

I received my bachelor's degree in Electronic Engineering from School of Information Science and Engineering at Harbin Institute of Technology in 2020. I gain broad knowledge in various signals processing and system analysis.

News

[2024-01] One paper is accepted by ICRA 2024!
[2023-02] Doing research about ultrasound signal recognition, supervised by Dr. Kenan Niu
[2022-09] Move to University of Twente for Master study
[2022-07] Submit the WACV 2023 paper!
[2022-05] Pass the Research Potential Assessment for Ph.D. students!
[2021-09] Remote research on audio-visual generation task
[2021-05] I am happy to join in Action Lab and DeFake Group, RIT!
[2020-09]-[2021-04] Gap year, due to Covid-19 outbreaks. Doing research about calibration on sequential model
[2020-06] Receive the Outstanding Undergraduate Thesis and the HIT Outstanding Graduate Award!

Publications

*Equal contribition, †Corresponding author

Deep Learning based acoustic measurement approach for robotic applications on orthopedic. Bangyu Lan, Momen Abayazid, Nico Verdonschot, Stefano Stramigioli1 and Kenan Niu. ICRA 2024

Working Experience

Research assistant at Action Lab and DeFake Group, RIT. (Sep. 2021 to June 2022)
Worked on DeepFake Generation.

Professional Activities

Conference Reviewer of ICRA2024, ICCV2022, CVPR2022, AAAI2022, ACM Multimedia2022, FG2022, MLSP2022, etc.

Teaching Experience

Teaching Assistant of the following courses:

CSCI-631, Foundations of Computer Vision, Spring 2022. at Rochester Institute of Technology
201200168, Segmentation and Visualisation, Spring 2024. at University of Twente