Xu Qianyi

Xu Qianyi(徐谦逸)

Final Year Electrical and Electronic Engineering Student
@ Nanyang Technological Univeristy

Download CVContact Me

About Me

Hello! I'm Xu Qianyi. I am a final year student at Nanyang Technological University with a major in Electrical and Electronic Engineering. I am broadly interested in machine learning, computer vision, espeicially their application in healthcare. I believe interests should be found during hands-on practices, therefore, throughout my undergraduate study, I explored different fields of research including continual learning, image segmentation, time series data analysis, and reinforcement learning.

I value research intrinsically and want to develop algorithms that can be applied to the real world.

Bio

Email
qxu011@e.ntu.edu.sg
Phone
+65 83740219
Address
School of EEE, 50 Nanyang Avenue, Singapore

Education

B.Eng. in Electrical and Electronic Engineering Nanyang Technological University
Aug 2019 - Jun 2023(Expected)
Highest Distinction(Expected)
GPA:4.81/5
Dean's List: 2020-2021
NTU Science and Engineering Undergraduate Scholarship (former SM2 Scholar)
Semester Exchange National University of Singapore
Jan 2021 - May 2021
Participated in SUSEP for partial exchange.

Experience

Summer@EPFL Fellow Visual Intelligence and Learning Lab, Swiss Federal Institute of Technology Lausanne
Jun 2022 - Present, Lausanne
Created a pipeline to collect data in an embodied AI simulation platform. The collected data are utilized for multi-frame depth estimation with a convLSTM recurrent model.
Research Assistant Xu Lab, Carnegie Mellon University
Feb 2022 - Sep 2022, Remote
Built a novel pipeline for single-cell segmentation.
Research Intern HiSilicon, Huawei Singapore Research Center
Dec 2021 - May 2022, Singapore
Built multiple models to predict blood pressure using ECG and PPG signals trained using MIMIC III waveform dataset.
Research Intern Institute for Infocomm Research, Agency for Science Technology and Research
Aug 2020 - Present, Singapore
Developed developed a task-agnostic algorithm for online continual learning that can preserve information privacy.
Research Assistant Nanyang Technological University
Sep 2020 - Apr 2022, Singapore
Built a surrogate model for transcranial direct current stimulation simulation using machine learning and SimNIBS.

Publications

Continual Learning / Latent Replay / Privacy Preservation

POnCIL: Privacy Preserving Online Class-incremental Learning

Xu, Q., Wong, C., and Ramasamy, S.2023 ICASSP.

In preparation. Codes and manuscript will be posted after submission.

Single Cell Segmentation / Domain Adaptation / Image Transfer

Cytoderm Behavior Enhancement in Single-Cell Segmentation

Fan, Z., Xu, Q., Tang, Z., Wang, W., Hyatt, T., Zhang, Y., Xing, J., and Xu, M. Bioinformatics.

In preparation. Codes and manuscript will be posted after submission.

Contact