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Bo XIN (辛博)

Curriculum Vitae

I am currently an associate researcher in Visual Computing Group at Microsoft Research Asia (MSRA). Before I joined MSRA in Jul. 2016, I received my Ph.D. degree from Peking University with honor. I worked with Prof. Yizhou Wang and Prof. Wen Gao. I did a joint PhD program at University of California, Los Angeles, supervised by Prof. Alan L. Yuille.

My research interests include mathematical optimization (including convex, submodular, Bayesian and non-convex optimization) and their applications in machine learning and computer vision.

Office: Bldg 2, No.5 Dan Ling Street, Haidian District, Beijing, China, 100080.
Email: jimxinbo at gmail dot com

[Google Scholar] [Github] [LinkedIn]



News

[Sep 5 2017] Our paper "From Sparse Bayesian Learning to Deep Recurrent Nets" is accepted to NIPS 2017 for oral presentation.

[Jun 12 2017] Our paper "Data-Dependent Sparsity for Subspace Clustering" is accepted to UAI 2017.

[Mar 3 2017] Our paper "Collaborative Deep Reinforcement Learning for Joint Object Search" is accepted to CVPR 2017.

[Aug 13 2016] Our paper "Maximal Sparsity with Deep Networks?" is accepted to NIPS 2016.

Publications

Conference papers

From Sparse Bayesian Learning to Deep Recurrent Nets
Neural Information Processing Systems (NIPS 2017 Oral)
Hao He, Bo Xin and David Wipf

Data-Dependent Sparsity for Subspace Clustering 
Conference on Uncertainty in Artificial Intelligence (UAI 2017)
Bo Xin, Yizhou Wang, Wen Gao and David Wipf

Collaborative Deep Reinforcement Learning for Joint Object Search 
Computer Vision and Pattern Recognition (CVPR 2017)
Xiangyu Kong, Bo Xin,  Yizhou Wang and Gang Hua
[arxiv]

Maximal Sparsity with Deep Networks? 
Neural Information Processing Systems (NIPS 2016)
Bo Xin, Yizhou Wang, Wen Gao and David Wipf
[pdf]

Subspace Clustering with a Twist
Conference on Uncertainty in Artificial Intelligence (UAI 2016)
David Wipf, Yue Dong and Bo Xin
[pdf]

Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
International Conference on Machine Learning (ICML 2015 Oral)
Bo Xin and David Wipf
[pdf], [ext-abs], [poster], [code]

Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
Signal Processing with Adaptive Sparse Structured Representations (SPARS 2015 Oral)
Bo Xin and David Wipf
[pdf] * This paper was nominated for Best Student Paper Award

Background Subtraction via Generalized Fused Lasso Foreground Modeling
Computer Vision and Pattern Recognition (CVPR 2015)
Bo Xin, Yuan Tian, Yizhou Wang and Wen Gao
[pdf], [ext-abs], [poster], [code], [data]

Stable Feature Selection from Brain sMRI
AAAI Conference on Artificial Intelligence (AAAI 2015)
Bo Xin, Lingjing Hu, Yizhou Wang and Wen Gao
[pdf], [poster], [code]

Efficient Generalized Fused Lasso and Application to the Diagnosis of Alzheimer's Disease
AAAI Conference on Artificial Intelligence (AAAI 2014 Oral)
Bo Xin, Yoshinubo Kawahara, Yizhou Wang and Wen Gao
[pdf], [poster], [code]

An interactive system of stereoscopic video conversion
ACM Multimedia 2012 (ACM MM 2012 Oral)
Zhebin Zhang, Chen Zhou, Bo Xin, Yizhou Wang and Wen Gao
[pdf]

Journal papers

Maximal Sparsity with Deep Networks? 
Arxiv
Bo Xin, Yizhou Wang, Wen Gao and David Wipf
[arxiv]

From Sparse Bayesian Learning to Deep Recurrent Nets  
Arxiv
Hao He, Bo Xin and David Wipf
[arxiv]

Building Invariances into Sparse Subspace Clustering  
IEEE Trans. on Signal Processing (Accepted)
Bo Xin, Yizhou Wang, Wen Gao and David Wipf

Efficient Generalized Fused Lasso and its Applications
ACM Trans. on Intelligent Systems and Technology
Bo Xin, Yoshinubo Kawahara, Yizhou Wang, Lingjing Hu and Wen Gao

Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
IEEE Trans. on Signal Processing
Bo Xin, David Wipf, Yizhou Wang and Wen Gao

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Experience

Visual Computing Group, Microsfoft Research Asia  (Beijing, China, 2016.7-present)
Associate Researcher (level 2)

Visual Computing Group, Microsfoft Research Asia  (Beijing, China, 2015.11-2016.7)
Research Intern, work with Lead Researcher David Wipf

Dept. of Statistics, University of California, Los Angeles (Los Angeles, US, 2014.10-2015.10)
Visiting Graduate Researcher, work with Prof. Alan L. Yuille

Visual Computing Group, Microsfoft Research Asia  (Beijing, China, 2014.3-2014.6)
Research Intern, work with Lead Researcher David Wipf

Institute of Scientific and Industrial Research, Osaka University   (Osaka, Japan, 2013.8-2013.10
Visiting Researcher, work with Prof. Yoshinubo Kawahara

National Engineering Laboratory for Video Technology, Peking University   (Beijing, China, 2011.9-2016.7
PhD, work with Prof. Yizhou Wang and Prof. Wen Gao

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Awards

Excellent Graduate of Beijing, 2016   (As well as Excellent Graduate of Peking University, 2016  )

Award of Excellence for Stars of Tomorrow Internship Program, Microsoft Research Asia, 2016

Baidu Fellowship, 2015   (Only 10 out of all Chinese PhDs worldwide major in computer science and related fields.)

Google PhD Fellowship, 2015   (Only 8 out of all recommended candidates from Mainland China, Hong Kong, Korea and Japan; Only 44 worldwide.)

Qualcomm Fellowship, 2015

Chinese Government Scholarship, 2014

National Scholarship 2007-2011 in a roll   (Only 1 out of 210 students.)

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