Xu Min

Research Scientist at IBM Research China

I am a research scientist at IBM Research China, located in Beijing, since July 2019. Before I joined IBM, I got my Ph.D. degree from Department of Computer Science and Technology in Tsinghua University in July 2019. My supervisor at Tsinghua was Prof. Ting Chen. During my Ph.D. career, I also spent one year as a jointly Ph.D. student in Cornell University supervised by Prof. Fei Wang, funded by China Scholarship Council.

Currently, I focus on applying artificial intelligence (AI) or machine learning methods to healthcare data analysis. In particular, I am interested in data representation for Electronic Health Records (EHRs), time series clinical data, and medical images, using either deep learning or statistical models. I am committed to developing models with robustness (generalization ability), interpretability and safety (privacy preservation) for various healthcare scenarios.

See my CV here

Publications

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Yiqin Yu*, Xu Min*, Dongsheng Li, Fei Wang, Shiwan Zhao, Jing Mei, Kenny Ng and Shaochun Li
https://arxiv.org/abs/2007.12355, 2020 (*equal contribution)

Predictive modeling of the hospital readmission risk from patients’ claims data using machine learning: a case study on COPD

Xu Min, Bin Yu and Fei Wang
Scientific Reports, 2019
[pdf] [supplemental] [bibtex]

Name

Research Scientist at IBM Research China

Publications

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Predictive modeling of the hospital readmission risk from patients’ claims data using machine learning: a case study on COPD

Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding

Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding

Predicting enhancers with deep convolutional neural networks

Real-time object tracking via optimal feature subspace

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