Siyuan Yan

I am a first-year Ph.D. student in Monash Medical AI Group (MMAI) at Monash University, working with A/Prof. Zongyuan Ge.

I am primarily interested in trustworthy AI and its application in medical fields, i.e. out-of-domain generalization, debiasing, and explainability. Before coming to Monash University, I received my master's degree at the Australian National University under the supervision of Prof. Nick Barnes and Dr. Jing Zhang.

Email / Linkedin / Google Scholar / Github

News

[Sep 2023] One paper is accepted to NeurIPS 2023 D&B track, where we release the largest expert-level video datasets for Nursing Procedure Activity Understanding.

[Jun 2023] One paper is accepted to MICCAI 2023, about dermoscopic artifacts-inspired domain generalization in skin lesion recognition.

[Feb 2023] One paper is accepted to CVPR 2023, about discovering, explaining, and mitigating biases in dermatology AI.

[Aug 2022] Moved to Melbourne. Started my PhD.

[Jan 2022 - Mar 2022] Summer intern at the University of Sydney.

[Dec 2021] Our work on physical prior-based stochastic smoke segmentation is accepted to AAAI 2022.

Research

Most of my recent research is about understanding deep learning generalization behavior under distribution shift. I am also interested in probabilistic generative model, data-centric learning, weakly supervised learning, and AI for dermatology.

Selected Publications

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding

Ming Hu*, Lin Wang*, Siyuan Yan*(equal contribution), Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge

NeurIPS 2023 Datasets and Benchmarks Track

[Paper] [Code]

Prompt-driven Latent Domain Generalization for Medical Image Classification

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, Peter Soyer, Zongyuan Ge

Under Review at IEEE Transactions on Medical Imaging

[Paper] [Code]

	EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition Siyuan Yan,Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, Peter Soyer, Zongyuan Ge MICCAI 2023 [Paper] [Code]
	Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, Peter Soyer, Zongyuan Ge CVPR 2023 [Paper] [Code]
	Transmission-Guided Bayesian Generative Model for Smoke Segmentation Siyuan Yan, Jing Zhang, Nick Barnes AAAI 2022 (15% acceptance rate, Student Travel Award) [Paper] [Code]

Professional activities

Conference Reviewer for CVPR, ICCV, AAAI, and MICCAI.

Journal Reviewer for TMI.