Rate My Professor Yuankai Qi

Dr. Yuankai Qi is a Lecturer (Assistant Professor) in Artificial Intelligence at the School of Computing, Macquarie University, Sydney, Australia, a position he assumed in December 2023. He concurrently holds an Adjunct Lecturer role at the Australian Institute for Machine Learning (AIML), University of Adelaide. Qi obtained his PhD from Harbin Institute of Technology, China, with a focus on visual object tracking. Previously, he served as a Research Fellow at AIML, University of Adelaide, where he conducted research on vision-and-language navigation for robots. His academic career is marked by over 60 publications in premier computer vision and artificial intelligence venues, including CVPR, NeurIPS, ICCV, ECCV, AAAI, IJCAI, IEEE TPAMI, and TIP. Notable works encompass 'The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking' (2018), 'Hedged Deep Tracking' (2016), 'ReVerIE: Remote Embodied Visual Referring Expression in Real Indoor Environments' (2020), 'VLN BERT: A Recurrent Vision-and-Language BERT for Navigation' (2021), and 'Object-and-Action Aware Model for Visual Language Navigation' (2020).

Qi’s research specializations span vision-and-language for robot action, video captioning, medical image processing, crowd counting, multi-view clustering, video anomaly detection, federated learning, movie dubbing, and visual object tracking. He leads significant projects, including Next-Gen Banking: Towards Customized and Personalized Banking Solutions through Generative AI Technologies, Establishing a Machine Learning Pipeline to Automate Tumor Segmentation from Written Radiology Report Data, and AI-Enhanced CT Image Analysis for Precise Measurement of Bone Union and Healing in Jaw Reconstruction. His contributions have earned prestigious accolades such as the ACM Multimedia 2024 Best Paper Award, ICPR 2024 Best Student Paper Award, Australian Pattern Recognition Society (APRS) ECR Award Honourable Mention (2023), Champion in the DAVIS Challenge on Video Object Segmentation (2017), Runner-up in the Vision Meets Drones: Single Object Tracking Challenge (2018), and CAAI Outstanding Doctoral Dissertations Award (2020). Qi ranks among the Stanford/Elsevier Top 2% Scientists globally for 2024 and 2025. He contributes to the field as Area Chair for ICML 2026, CVPR 2026, AAAI 2026, ICLR 2026/2025, NeurIPS 2025, and ICCV 2025, and as a regular reviewer for leading conferences and journals.