Liu

Liu Yang
Undergraduate Student

UC Berkeley/ ICSI
Xi'an Jiaotong University

liu-yang@berkeley.edu
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About Me

My research interests lie in the intersection of machine learning and deep learning. I am a member of Dr. Stella Yu's group at ICSI. I am glad to collaborate with Dr. Rudrasis Chakraborty.

News

Oct. 28 Submitted our work on "POIRot", a rotation invariant omni-directional pointnet to IEEE TPAMI.
Oct. 21 Submitted our paper on GMM based algorithm to generate new point-cloud with its application to neuron-imaging to IEEE ISBI.
Oct. 2 Submitted our paper on "augmentation free" pointnet and its application to neuron-imaging to IEEE ISBI.
Sept. 5 Submitted extended version of our paper on Intrinsic Grassmann Averages to do online linear, nonlinear and robust PCA in IEEE TPAMI.

Research

Please see my statement of purpose for details on my research interests and current works.

Publications

POIRot: A rotation invariant omni-directional pointnet
Liu Yang, Rudrasis Chakraborty, and Stella X. Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (submitted) arxiv

A GMM based algorithm to generate point-cloud and its application to neuroimaging
Liu Yang, Rudrasis Chakraborty
IEEE International Symposium on Biomedical Imaging 2020 (ISBI 2020) (submitted) arxiv

An "augmentation-free" rotation invariant classification scheme on point-cloud and its application to neuroimaging
Liu Yang, Rudrasis Chakraborty
IEEE International Symposium on Biomedical Imaging 2020 (ISBI 2020) (submitted) arxiv

Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning
Rudrasis Chakraborty, Liu Yang, Søren Hauberg and Baba C. Vemuri
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2nd round revision) paper

Reviewer Service

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