Lei
BAI
Hi, I am Lei, a Postdoctoral Research Fellow at School of Electrical and Information Engineering, the University of Sydney, Australia. Currently, I am working with Associate Prof. Wanli Ouyang and Dr. Chenyu Wang. Prior to that, I received my PhD degree in Computer Science from UNSW Sydney under the supervision of Scientia Associate Prof. Lina Yao and Prof. Salil Kanhere.
My research focuses on developing robust and versatile spatial-temporal Learning algorithms for pattern discovery and knowledge mining in the multi-modal sequential data, such as video and correlated time series. My work is motivated and can be applied to various real-world applications such as Smart Cities (e.g., Intelligent Transportation), Healthcare (e.g., elder caring), Fintech, and Neuroscience.
Always welcome discussions and cooperations, feel free to drop me an email anytime you want.
News
- One paper was accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence
- Two papers were accepted to CVPR 2022
- One paper was accepted to AAAI 2022
- I was selected for the Dean’s Award for Outstanding PhD Theses 2021
- One paper was accepted to Transportation Research Part C
- Two papers were accepted to ICCV 2021
- One paper was accepted to IEEE Transactions on Circuits and Systems for Video Technology
- Invited as a reviewer for NeurIPS 2022, ECCV 2022, KDD 2022, IJCAI 2022, CVPR 2022, ICLR2022, TPAMI, and TIP
- One paper was accepted to CVPR 2021
- One paper was accepted to IEEE Transactions on Intelligent Transportation Systems
- One paper was accepted to Future Generation Computer Systems
- I received the Outstanding HDR Student award as part of the UNSW Engineering Excellence Awards
- I was awarded the 2020 Google PhD Fellowship in Machine Learning
- Our paper on traffic forecasting was accepted to NeurIPS 2020