Projects per year
Personal profile
Biography
Dr. Yuankai Qi joined the School of Computing at Macquarie University, Sydney, Australia, in December 2023 as a Lecturer (Assistant Professor) in Artificial Intelligence (AI). He is also an Adjunct Lecturer with the Australian Institute for Machine Learning (AIML) of The University of Adelaide. He received his PhD from Harbin Institute of Technology, China, during which he focused on the topic of visual object tracking. He was the winner of the international challenge on video segmentation and tracking DAVIS 2017, the Runner-up of the drone’s view object tracking challenge VisDrone 2018. In 2020, he received the CAAI Outstanding Doctoral Dissertations Award (10 winners each year across China).
Before joining Macquarie University, he was a Research Fellow at the Australian Institute for Machine Learning, University of Adelaide, working on vision-and-language navigation for robots. He has published over 60 papers on top-tier venues in computer vision and artificial intelligence, such as CVPR, NeurIPS, ICCV, ECCV, AAAI, IJCAI, IEEE TPAMI, and TIP. He received ACM Multimedia 2024 Best Paper Award, ICPR 2024 Best Student Paper Award, the Australian Pattern Recognition Society (APRS) ECR Award Honourable Mention in 2023.
Services:
- Area Chair for AAAI 2026, NeurIPS 2025, ICCV 2025, ICLR 2025, BMVC 2023/2024.
- Regular reviewer for several prestigious conferences and journals, including CVPR, ICCV, AAAI, IJCAI, ICML, ACL, TPAMI, TIP, and PR.
Research topics: Vision-and-Language for Robot Action, Video Captioning, Medical Image Processing, Crowd Counting, Video Anomaly Detection, Movie Dubbing, and Visual Object Tracking.
He has been recognised among the Stanford/Elsevier Top 2% Scientists globally in 2024.
He is looking for self-motivated HDR students.
Teaching
COMP 3420 AI for Text and Vision
COMP 2250 Data Communication
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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AI-Enhanced CT Image Analysis for Precise Measurement of Bone Union and Healing in Jaw Reconstruction
Beheshti, A., Clarke AM, J., Mukherjee, P., Qi, Y. & Gupta, V.
1/10/24 → 31/12/25
Project: Research
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Next-Gen Banking: Towards Customized and Personalized Banking Solutions through Generative AI Technologies
Beheshti, A., Wu, J., Zhang, X., Qi, Y., Xue, E. & Alinejad Rokny, H.
1/07/24 → 30/06/28
Project: Research
Research Outputs
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Dual prototype contrastive network for generalized zero-shot learning
Jiang, H., Li, Z., Hu, Y., Yin, B., Yang, J., Hengel, A. V. D., Yang, M-H. & Qi, Y., Feb 2025, In: IEEE Transactions on Circuits and Systems for Video Technology. 35, 2, p. 1111-1122 12 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Dynamic erasing network with adaptive temporal modeling for weakly supervised video anomaly detection
Zhang, C., Li, G., Qi, Y., Ye, H., Qing, L., Yang, M-H. & Huang, Q., 8 Apr 2025, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. 15 p.Research output: Contribution to journal › Article › peer-review
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Generating high-quality symbolic music using fine-grained discriminators
Zhang, Z., Li, L., Zhang, J., Hu, Z., Wang, H., Yan, C., Yang, J. & Qi, Y., 2025, Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, proceedings, part XX. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C-L., Bhattacharya, S. & Pal, U. (eds.). Cham: Springer, Springer Nature, p. 332-344 13 p. (Lecture Notes in Computer Science; vol. 15320).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Generating synthetic data for unsupervised federated learning of cross-modal retrieval
Zhang, T., Xue, Z., Mahmood, A., Du, J., Dong, Y., Ou, S., Feng, L., Yang, M-H. & Qi, Y., 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 21, p. 22569-22577 9 p.Research output: Contribution to journal › Conference paper › peer-review
1 Citation (Scopus) -
Presentation attack detection: a systematic literature review
Pooshideh, M., Beheshti, A., Qi, Y., Farhood, H., Simpson, M., Gatland, N. & Soltany, M., Jan 2025, In: ACM Computing Surveys. 57, 1, p. 1-32 32 p., 25.Research output: Contribution to journal › Review article › peer-review
Open Access1 Citation (Scopus)
Prizes
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ACM Multimedia 2024 Best Paper Award
Zhang, Zhedong (Recipient), Li, Liang (Recipient), Cong, Gaoxiang (Recipient), Yin, Haibing (Recipient), Gao, Yuhan (Recipient), Yan, Chenggang (Recipient), Van Den Hengel, Anton (Recipient) & Qi, Yuankai (Recipient), 2024
Prize
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Australian Pattern Recognition Society ECR Award Honourable Mention
Qi, Yuankai (Recipient), 2023
Prize
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ICPR 2024 Best Student Paper Award
Zhang, Zhedong (Recipient), Li, Liang (Recipient), Zhang, Jiehua (Recipient), Hu, Zhenghui (Recipient), Wang, Hongkui (Recipient), Yan, Chenggang (Recipient), Yang, Jian (Recipient) & Qi, Yuankai (Recipient), 2024
Prize
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Runner-up in the Vision Meets Drones: Single Object Tracking Challenge
Qi, Yuankai (Recipient), 2018
Prize