Chen Liu

Chen Liu

PhD Student in Computer Science

Krishnaswamy Lab, Yale University


Hi, my name is Chen Liu.
Or alternatively, 刘 晨 (family name followed by given name).

I am a second year CS PhD student at Yale.
My area of research is machine learning, and more specifically, manifold learning.

My research explores both theory and application of machine learning. On the research side, I focus on helping neural networks learn better representations in the latent space. On the application side, I extend my research to medical imaging and other biomedical data.

Interests
  • Manifold Learning
  • Machine Learning in Healthcare
  • Computer Vision
  • Medical Imaging
  • Computational Biology
Education

  • PhD in CS, 2022 - 2028

    Yale University

  • MS in EE, 2018 - 2019

    Columbia University

  • BS in EE, 2014 - 2018

    Bucknell University

  • Middle & High School, 2007 - 2014

    Shanghai Foreign Language School

News


[Jun 2023] Our paper has been accepted to ICML 2023 Workshop on TAG-ML. Many thanks to collaborators from Mila and Meta AI (FAIR).
[Jun 2023] Two patents came online. Kudos to my great colleagues at GE Healthcare!
[Aug 2022] Started my PhD program at Krishnaswamy Lab, Yale University.
[Jul 2022] Recognized as an Outstanding Reviewer at ICML 2022!

Awards and Recognitions

US Patent: System and Method for Obtaining Accurate Measurements and Quantification of X-Ray Image from Estimation of Key Anatomical Locations
Jun 2023
US Patent: X-Ray Lead Marker Detection System for X-Ray Imaging System
Jun 2023
Outstanding Reviewer at ICML 2022
International Conference on Machine Learning (ICML) Jul 2022
Among top 10% of reviewers at ICML 2022.
Invited as an ICML 2022 Session Chair.

Academic Service

Journal Reviewer

  1. IEEE TNNLS 2021-2023

Conference Program Committee Member

  1. NeurIPS 2021,2022,2023
  2. ICLR 2022,2023,2024
  3. ICML 2022

Teaching Fellow

  1. [Fall 2023] CPSC488 AI Foundation Models with Prof. Arman Cohan
  2. [Fall 2022] CPSC483 Deep Learning on Graph-Structured Data with Prof. Rex Ying

Experience

 
 
 
 
 
GE Healthcare
Senior Research Scientist
GE Healthcare
Aug 2021 – Jul 2022 California
 
 
 
 
 
Matician Inc
Research Software Engineer
Matician Inc
Jan 2021 – Jun 2021 California
 
 
 
 
 
Columbia University (Medical Center)
Research Assistant (Fully funded by Grant)
Columbia University (Medical Center)
Dec 2019 – Nov 2020 New York

Preprints

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Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay Wang, Lucian V. Del Priore, Smita Krishnaswamy (2023). CUTS: A Framework for Multigranular Unsupervised Medical Image Segmentation. In ArXiv.

PDF Cite Code ArXiv

Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni (2022). Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. In ArXiv.

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Journal Publications

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Chen Liu, Nanyan Zhu, Haoran Sun, Junhao Zhang, Xinyang Feng, Sabrina Gjerswold-Selleck, Dipika Sikka, Xuemin Zhu, Xueqing Liu, Tal Nuriel, Hong-Jian Wei, Cheng-Chia Wu, Thomas J Vaughan, Andrew F Laine, Frank A Provenzano, Scott A Small, Jia Guo (2022). Deep Learning of MRI Contrast Enhancement for Mapping Cerebral Blood Volume from Single-Modal Non-Contrast Scans of Aging and Alzheimer's Disease Brains. In Frontiers in Aging Neuroscience.

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Joan Jiménez-Balado, Alexandra Ycaza Herrera, Kay Igwe, Lynda P Klem, Korhan Buyukturkoglu, Andrei Irimia, Chen Liu, Jia Guo, Adam M Brickman, Teal S Eich (2021). Reduced Hippocampal GABA is associated with Poorer Episodic Memory in Healthy Older Women: A Pilot Study. In Frontiers in Behavioral Neuroscience.

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Sophie Hamelin, Vasile Stupar, Lucile Mazière, Jia Guo, Wafae Labriji, Chen Liu, Ludiwine Bretagnolle, Sandrine Parrot, Emmanuel L Barbier, Antoine Depaulis, Florence Fauvelle (2020). In vivo γ‐aminobutyric acid increase as a biomarker of the epileptogenic zone: An unbiased metabolomics approach. In Epilepsia.

PDF Cite Wiley Commentary on Epilepsy Currents

Nanyan Zhu, Chen Liu, Andrew F. Laine, Jia Guo (2020). Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks. In Energies.

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Conference Papers

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Nanyan Zhu, Chen Liu, Britney Forsyth, Zakary S Singer, Andrew F Laine, Tal Danino, Jia Guo (2022). Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. In IEEE EMBC.

PDF Cite IEEE ArXiv

Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina Gjerswold-Selleck, Scott A Small, Jia Guo (2021). Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data. In IEEE ISBI 2021.

PDF Cite IEEE Arxiv

Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J Gjerswold-Selleck, Hong-Jian Wei, Pavan S Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D Canoll, Andrew F Laine, J Thomas Vaughan, Scott A Small, Jia Guo (2020). Substituting Gadolinium in Brain MRI Using DeepContrast. In IEEE ISBI 2020.

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Conference Workshops

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Danqi Liao, Chen Liu, Ben Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy (2023). Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. In ICML 2023 TAG-ML Workshop.

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Conference Abstracts

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Nanyan Zhu, Chen Liu, Sabrina Gjerswold-Selleck, Xinyang Feng, Dipika Sikka, Scott A Small, Jia Guo (2021). Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Artificial Functional MRI Data. In ISMRM 2021 1-Page Abstract.

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Sabrina Gjerswold-Selleck, Nanyan Zhu, Haoran Sun, Dipika Sikka, Jie Shi, Chen Liu, Tal Nuriel, Scott A Small, Jia Guo (2021). DL-BET-A Deep Learning Based Tool for Automatic Brain Extraction from Structural Magnetic Resonance Images in Mice. In ISMRM 2021 1-Page Abstract.

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Florence Fauvelle, Vasile Stupar, Jia Guo, Wafae Labriji, Chen Liu, Alicia Plaindoux, Emmanuel Luc Barbier, Sophie Hamelin, Antoine Depaulis (2021). In Vivo GABA Increase as a Biomarker of the Epileptogenic Zone: an Unbiased Metabolomics Approach. In ISMRM 2021 1-Page Abstract.

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Chen Liu, David Jing Ma, Nanyan Zhu, Kay Igwe, Jochen Weber, Roshell Li, Emily Turner Wood, Wafae Labriji, Vasile Stupar, Yanping Sun, Neil Harris, Antoine Depaulis, Florence Fauvelle, Scott A Small, Douglas L Rothman, Jia Guo (2021). JET-A Matlab Toolkit for Automated J-Difference-Edited MR Spectra Processing of In Vivo Mouse MEGA-PRESS Study at 9.4 T. In ISMRM 2021 1-Page Abstract Oral Presentation.

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Dipika Sikka, Nanyan Zhu, Chen Liu, Scott Small, Jia Guo (2021). Predicting Gadolinium Contrast Enhancement for Structural Lesion Analysis using DeepContrast. In ISMRM 2021 1-Page Abstract Oral Presentation.

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Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina Josefina Gjerswold-Selleck, Hong-Jian Wei, Pavan Shankar Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter Canoll, Andrew F Laine, John Thomas Vaughan, Scott A Small, Jia Guo (2020). Substituting Gadolinium In Brain MRI Using DeepContrast -- A Proof-Of-Concept Study in Mice. In ISMRM 2020 1-Page Abstract Oral Power Pitch.

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Chen Liu, Nanyan Zhu, Xinyang Feng, Frank A Provenzano, John T Vaughan, Scott A Small, Jia Guo (2020). Substituting Gadolinium In Human Brain MRI Using DeepContrast. In ISMRM 2020 1-Page Abstract Oral Power Pitch.

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Technical Blogs

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Chen Liu (2023). A Technical Deep Dive into Drag Your GAN (DragGAN). Technical Blog.

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