Binbin Lin
Binbin Lin
University of Michigan
Verified email at - Homepage
Cited by
Cited by
Mitigating effects of non-ideal synaptic device characteristics for on-chip learning
PY Chen, B Lin, IT Wang, TH Hou, J Ye, S Vrudhula, J Seo, Y Cao, S Yu
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 194-199, 2015
Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip
PY Chen, D Kadetotad, Z Xu, A Mohanty, B Lin, J Ye, S Vrudhula, J Seo, ...
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 854-859, 2015
Parallel field alignment for cross media retrieval
X Mao, B Lin, D Cai, X He, J Pei
Proceedings of the 21st ACM international conference on multimedia, 897-906, 2013
Parallel architecture with resistive crosspoint array for dictionary learning acceleration
D Kadetotad, Z Xu, A Mohanty, PY Chen, B Lin, J Ye, S Vrudhula, S Yu, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 5 (2 …, 2015
Stochastic coordinate coding and its application for drosophila gene expression pattern annotation
B Lin, Q Li, Q Sun, MJ Lai, I Davidson, W Fan, J Ye
arXiv preprint arXiv:1407.8147, 2014
Fast approach for computing roots of polynomials using cubic clipping
L Liu, L Zhang, B Lin, G Wang
Computer Aided Geometric Design 26 (5), 547-559, 2009
Task fMRI data analysis based on supervised stochastic coordinate coding
J Lv, B Lin, Q Li, W Zhang, Y Zhao, X Jiang, L Guo, J Han, X Hu, C Guo, ...
Medical image analysis 38, 1-16, 2017
A simple algorithm for semi-supervised learning with improved generalization error bound
M Ji, T Yang, B Lin, R Jin, J Han
arXiv preprint arXiv:1206.6412, 2012
Parallel vector field embedding
B Lin, X He, C Zhang, M Ji
The Journal of Machine Learning Research 14 (1), 2945-2977, 2013
Semi-supervised Regression via Parallel Field Regularization
B Lin, C Zhang, X He
Scalable fast rank-1 dictionary learning for fMRI big data analysis
X Li, M Makkie, B Lin, M Sedigh Fazli, I Davidson, J Ye, T Liu, S Quinn
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
On-chip sparse learning acceleration with CMOS and resistive synaptic devices
J Seo, B Lin, M Kim, PY Chen, D Kadetotad, Z Xu, A Mohanty, S Vrudhula, ...
IEEE Transactions on Nanotechnology 14 (6), 969-979, 2015
Parallel programming of resistive cross-point array for synaptic plasticity
Z Xu, A Mohanty, PY Chen, D Kadetotad, B Lin, J Ye, S Vrudhula, S Yu, ...
Procedia Computer Science 41, 126-133, 2014
Tangent space learning and generalization
H Xiaofei, L Binbin
Frontiers of Electrical and Electronic Engineering in China 6 (1), 27-42, 2011
Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning
D Kadetotad, Z Xu, A Mohanty, PY Chen, B Lin, J Ye, S Vrudhula, S Yu, ...
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014
Geodesic distance function learning via heat flow on vector fields
B Lin, J Yang, X He, J Ye
International Conference on Machine Learning, 145-153, 2014
Multi-task vector field learning
B Lin, S Yang, C Zhang, J Ye, X He
Advances in neural information processing systems 2012, 296, 2012
Orthogonal projective sparse coding for image representation
W Zhao, Z Liu, Z Guan, B Lin, D Cai
Neurocomputing 173, 270-277, 2016
A distributed computing platform for fMRI big data analytics
M Makkie, X Li, S Quinn, B Lin, J Ye, G Mon, T Liu
IEEE transactions on big data 5 (2), 109-119, 2018
Efficient approximate solutions to mutual information based global feature selection
H Venkateswara, P Lade, B Lin, J Ye, S Panchanathan
2015 IEEE International Conference on Data Mining, 1009-1014, 2015
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