Bangyu Lan

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 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