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About Myself

I am currently a first-year PhD student in School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW Sydney), Australia. I joined the CRUISE (Context Recognition, Urban Sensing and Intelligence) under supervision of Prof. Flora Salim in May 2023. I finished my undergraduate study at UNSW with Bachelor of Science (Honours) in Computer Science in Artificial Intelligence.

My research interest includes computer vision, spatiao-temporal data learning, self-supervised machine learning and efficient multimodal sensor data fusion.

News

  • 05/2023: I was back to UNSW Sydney for my PhD, I missed this place!
  • 04/2023: I was a reviewer of IEEE Transactions on Intelligent Transportation Systems.
  • 12/2022: I was a reviewer of IEEE Transactions on Intelligent Vehicles.
  • 10/2022: I participated in the development of a Subgraph SQL Querying Application .
  • 03/2022: One paper accepted by CVPR 2022.
  • 12/2021: Bachelor’s Honours Thesis was selected for presentation on UNSW CSE Thesis Showcase 2022.

Publication

  • Li, L., Pagnucco, M. and Song, Y., 2022. Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2231-2241).

Research

Multi-future Trajectory Prediction with Deep Learning Techniques (Honours Thesis)
University of New South Wales Feb. 2021 - Dec. 2021
Paper Video Github

Identification and Localization of COVID-19 Abnormalities on Chest Radiography
University of New South Wales Jun. 2021 - Aug. 2021
Github