Xu Yuecong, PhD

Lecturer @ ECE Department, College of Design and Engineering, NUS, Singapore

yc.xu at nus.edu.sg; xuyu0014 at e.ntu.edu.sg

I am currently a Lecturer at the ECE department of the College of Design and Engineering (CDE), National University of Singapore (NUS). My current courses cover Computer Vision and Machine (Deep) Learning.
I obtained my Ph. D. Degree from Nanyang Technological University, Singapore, under the supervision of Prof. Mao Kezhi in 2021. My research focuses on video analytics and time-series analytics, with a special interest in applying transfer learning towards human action recognition as well as AIOT tasks. Previously, I obtained my Bachelor's Degree from NTU Singapore.
I was a Research Scientist at the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*STAR) Singapore, from July 2021 to January 2024.
I was also a Part-Time Lecturer at the School of EEE, NTU Singapore from July 2021 to January 2024. My courses covered Computer Vision and Machine Learning.

Recent News

[2024/09] I have joined and am officially appointed as the Staff Supervisor for NUS Calibur Robotics (Team). We will be participating in RMUC 2025.
[2024/08] One paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF 20.8)!! Congrats to all the collaborators!! The IEEXplore version is available [Here]!
[2024/07] Our survey on video unsupervised domain adaptation (VUDA) has been accepted by ACM Computing Surveys (ACM CSUR, IF 23.8)!! Congrats to all the collaborators !! The paper is available with Open Access!! Click [Here] for details. The corresponding GitHub repository is also available. Click [Here] for details.
[2024/07] Two papers have been accepted by ECCV!! Congrats to all the collaborators!! Projects are available [Here] and [Here]. See you all in Milan!
[2024/05] One paper has been accepted by Transactions on Artificial Intelligence (TAI)!! Congrats to all the collaborators!! The IEEXplore version is available [Here]!
[2024/05] Track 5 of the 7th UG2+ Workshop (in conjunction with CVPR 2024) has been completed. Results are available [Here]! Congratulations to all winners!
[2024/01] I am appointed as the Young Associate Editor for Journal of Automation and Intelligence.
[2024/01] One paper has been accepted by ICRA!! Congrats to all the collaborators!! The ArXiv version is available [Here]!
[2024/01] One paper has been accepted by ICLR!! Congrats to all the collaborators!! Check our ArXiv version and the project page [Here]!
[2024/01] I am joining NUS as a lecturer (Educator Track) with the ECE department, CDE.
[2023/12] Two papers have been accepted by AAAI!! Congrats to all the collaborators!! ArXiv versions are available [Here] and [Here]. See you all in Vancouver!
[2023/09] One paper has been accepted by NeurIPS Datasets and Benchmarks Track!! Congrats to all the collaborators!! Click [Here] for more details.
[2023/06] Two papers have been accepted by ICCV (Both as (co-) first author!)!! Click [Here] and [Here] for more details.
[2023/03] One paper has been accepted by IEEE T-Cyber!! Click [Here] for more details. The public ArXiv version can be found [Here].
[2023/01] One paper has been accepted by IEEE TCSVT!! Click [Here] for more details. The published version can be found [Here].
[2022/11] One paper has been accepted by AAAI!! Click [Here] for more details.
[2022/10] One paper has been accepted and published by IEEE TNNLS!! Click [Here] for more details. The published version can be found [Here].
[2022/07] One paper has been accepted and published by ECCV 2022!! Click [Here] for more details.
[2022/07] One paper has been accepted and published by ACMMM 2022!! Click [Here] for more details.
[2022/06] The 5th UG2+ Workshop, was held in conjunction with CVPR2022 in hybrid mode. The result of the UG2+ 2022 Challenge is available, congratulations to all winners!
[2021/09] One paper has been accepted and published by ICCV 2021 as Oral Paper!!. Click [Here] for more details.
[2021/06] The 4th UG2+ Workshop, was held in conjunction with CVPR2021. We thank all participants for their participation and full support.
[2020/06] We publish ARID Dataset! Sample code available now, click [Here]

Research Interests

My current research mainly focuses on Perception and its Application in Robotics, with a special interest in Vision-based and RF-based perception, where state-of-the-art AI models are proposed to analyze human actions and surroundings for robotic applications including but not limited to human-robot interaction, autonomous control and navigation, and security.

More specifically, I focus my study on how AI models are efficiently deployed in resource-restrained and environment-varying conditions (including adverse environment conditions) by applying the various learning techniques, such as transfer learning, continual learning, and few-shot learning. To achieve the above goals, I and my team are currently focusing on the following topics:

Human Action Recognition via On-board Non-Visual Perception.

Robust Policy Learning via Digital Cousin Creation and Sim2Real Transfer.

Robust Video Analysis Across Differed Environments with Less Labeled Data.

Robust 3D Semantic Segmentation Across Continuously Changing Scenes via Online (Test-time) Adaptation.

3D Reconstructing of Extremely Adverse Environments.

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