Research output per year
Research output per year
Personal profile
Biography
Dr. Xuelian Cheng currently is a Research Fellow at Monash Suzhou and an Adjunct Lecturer at Monash University Australia. Prior to this role, She completed my PhD at Monash University under the guidance of A/Prof. Zongyuan Ge , A/Prof. Mehrtash Harandi , and Prof. Tom Drummond . She had contributed to diverse research projects with industrial companies including Tencent (Canberra XR lab), IIAI, Airdoc and SenseTime. The outcomes resulted in publications in top ML/CV and medical imaging conferences. She had the opportunity to work remotely as a research intern at IIAI and work with scholars at MBZUAI (April 2021 to October 2021). She worked as a research intern at Tencent XR Lab in Canberra, Australia (August 2022 to February 2023).
Research Interests
Previous representative works include deep learning for 3D visual perception and reconstruction, automated machine learning (AutoML), video analysis and object detection. With a keen interest in the interdisciplinary realm of machine learning, computer vision, medical image analysis, and robotic surgery intelligence, she aspires to leverage her expertise in ML/CV to pioneer novel approaches for disease detection, diagnosis, and monitoring, as well as surgical interventions. Her focus extends to the application of visual medical data (AR/VR/XR) technologies for educational purposes, aiming to make significant strides in enhancing patient outcomes and revolutionizing medical practice.Accepting prospective PhD students. If you're interested in working with me, please send an email including your CV and transcripts. [2024 On Hold]
Teaching Experience
Lecturer
FIT5047 Fundamentals of artificial intelligence, S1, Monash University (Suzhou), 2025↝
FIT5226 Multi agent systems and collective behaviour, S1, Monash University (Suzhou), 2025↝
FIT5216 Modelling discrete optimization problems, S1, Monash University (Suzhou), 2024↝2025
FIT5037 Network security, T3, Monash University (Suzhou), 2024↝2025
FIT5222 Planning and automated reasoning, T3, Monash University (Suzhou), 2024↝
Teaching Assistant
ECE4179 Neural networks and deep learning, Monash University (Clayton), 2020↝2022
ECE4076 Computer vision, Monash University (Clayton), 2020↝2022
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Computer Vision
- Medical Imaging
- Machine Learning
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Hu, M., Xia, P., Wang, L., Yan, S., Tang, F., Xu, Z., Luo, Y., Song, K., Leitner, J., Cheng, X., Cheng, J., Liu, C., Zhou, K. & Ge, Z., 2025, Computer Vision – ECCV 2024 - 18th European Conference Milan, Italy, September 29–October 4, 2024 Proceedings, Part IV. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Cham Switzerland : Springer, p. 481-500 20 p. (Lecture Notes in Computer Science; vol. 15062).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus) -
Autonomous novel class discovery for vision-based recognition in non-interactive environments
Zhang, X., Liu, F., Cheng, X., Yan, S., Liao, Z. & Ge, Z., 2024, In: Cognitive Robotics. 4, p. 191-203 13 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Deep Learning: A Primer for Neurosurgeons
Yang, H., Yuwen, C., Cheng, X., Fan, H., Wang, X. & Ge, Z., 2024, Computational Neurosurgery. Di Ieva, A., Suero Molina, E., Liu, S. & Russo, C. (eds.). 1st ed. Cham Switzerland: Springer, p. 39-70 32 p. (Advances in Experimental Medicine and Biology; vol. 1462).Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review
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EndoSurf: Neural surface reconstruction of deformable tissues with stereo endoscope videos
Zha, R., Cheng, X., Li, H., Harandi, M. & Ge, Z., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference Vancouver, BC, Canada, October 8–12, 2023 Proceedings, Part IX. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Cham Switzerland: Springer, p. 13-23 11 p. (Lecture Notes in Computer Science; vol. 14228).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
38 Citations (Scopus) -
Deep laparoscopic stereo matching with transformers
Cheng, X., Zhong, Y., Harandi, M., Drummond, T., Wang, Z. & Ge, Z., 2022, 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part VII. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Cham Switzerland: Springer, p. 464-474 11 p. (Lecture Notes in Computer Science; vol. 13437).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
15 Citations (Scopus)