Yining Jiao 焦伊宁 Ph.D Candidate Department of Computer Science, College of Arts and Sciences, UNC-Chapel Hill, North Carolina, USA. Email: jyn@cs.unc.edu Office: SN204, 232 S Columbia St, Chapel Hill, NC 27514.

Biography

I am a 4th-year PhD student at UNC-BIAG Lab, advised by Prof. Marc Niethammer. Previously, I received my M.Sc. degree from School of Biomedical Engineering, Shanghai Jiao Tong University (SJTU) in 2020, under the supervison of Prof. Qian Wang in the Medical Imaging Computing Lab. Before that, I received my B.Eng. degree from Honors College at Northwestern Polytechnical University in 2017.

I’m dedicated to developing interpretable and trustworthy AI algorithms for science and medicine.
Specifically, I work on geometry processing, shape modeling, machine learning, and medical image analysis.
Generally, I enjoy figuring out elegant solutions for challenging problems.
I collaborate closely with medical school and physics department.

Selected Publications

	NeuralOCT: Airway OCT Analysis via Neural Fields Yining Jiao, Amy Oldenburg,Yinghan Xu,Srikamal Soundararajan,Carlton Zdanski,Julia Kimbell,Marc Niethammer preprint [paper]
	NAISR: A 3D Neural Additive Model for Interpretable Shape Representation Yining Jiao, Carlton Zdanski, Julia Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer ICLR 2024. Spotlight, top 5%. [project page][video][paper][code]
	cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, and Qian Wang MICCAI Workshop on Radiomics and Radiogenomics in Neuro-oncology using AI. Oral, top 10 of submissions. [paper][code]
	iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images Qin Liu, Zhenlin Xu and Yining Jiao and Marc Niethammer MICCAI 2022. [paper][code]
	Intracluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising Wei Wei, Lei Zhang, Yining Jiao, Chunna Tian, Cong Wang, Yanning Zhang IEEE Transactions on Geoscience and Remote Sensing [paper][code]

Talks

• Radiomics-Driven Deep Reinforcement Learning in Detecting Brain Tumor Lesions.
  
  SJTU Graduate Student Academic Forum, July 2019. 1st Prize in Oral Presentation Group
  
• Can Radiomics Features Boost the Performance of Deep Learning upon Histology Images?
  
  IEEE Conference on Medical Imaging Physics and Engineering, November 2019. Excellent Paper Award
  
• ConvRadiomics: Convolutional Radiomics Feature Extraction Toolkit
  
  IEEE Conference on Medical Imaging Physics and Engineering, November 2019.
  

Honors & Awards

Experiences

• United Imaging Intelligence (UII), Shanghai, China.
  Oct. 2019 – May 2020
  
  Research Intern
  Topic: Covid-19 Severity Prediction.
• Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Shaanxi, China.
  May 2016 – Jun. 2017
  
  Student Researcher
  Topic: Hyperspectral Image Denoising.

Academic Services

Misc

In my free time, I enjoy writing poems and learning philosophy. I was invited to Chinese Poetry New Discovery Poetry Camp in 2018 as one of the twelve selected campers and some of my works were published in Poetry Periodical, Chinese Poetry, etc. My favourite philosophers are Hegel and Slavoj Zizek.