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Keywords:
all
selected
optimization
learning
pattern recognition
optimal transport
Journal Publications
Detecting Comma-shaped Clouds for Severe Weather Forecasting using Shape and Motion
Xinye Zheng,
Jianbo Ye, Yukun Chen,
Stephen Wistar, Jia Li, Jose A. Piedra-Fernández, Michael A. Steinberg, James Z. Wang,
IEEE Transactions on Geoscience and Remote Sensing,
accepted.
(
arXiv:1802.08937 [cs.CV], Feb 2018)
pattern recognition
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
Jianbo Ye, Jia Li, Michelle G. Newman,
Reginald B. Adams, Jr., James Z. Wang,
IEEE Transactions on Affective Computing, To appear.
(
arXiv:1701.01096 [stat.ML], Jan 2017)
DOI
g-scholar
code dataset
learning
This project also develops a scalable data analytic tool, called accelerated D2-clustering, to process large scale distribution data. It could potentially leverage hundreds of CPUs with a very decent scaling efficiency (say, 70-80%).
If you are a government agency, an education institution, or a non-profit organization, we may offer you a FREE academic license of the C/MPI package to run on clusters.
Please contact authors by email to discuss details. If you are commercial and would like to use our software, let us know and we will try to arrange to let you use.
Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support
Jianbo Ye, Panruo Wu, James Z. Wang and Jia Li, IEEE Transactions on Signal Processing, January 2017
(
arXiv:1510.00012 [stat.CO], September 2015)
pdf
g-scholar code
optimization learning optimal transport


R-BiHDM(-s)[YeYY13], which has been used for SHREC14 human track, is a simple, unsupervised, data independent method. (rank among
the best 3 in scanned human dataset)
Shape Retrieval of Non-Rigid 3D Human Models
D. Pickup, et al.,
International Journal on Computer Vision, April 2016, Springer
pdf
g-scholar
pattern recognition
(benchmark paper, earlier version appeared in EG Workshop 3DOR'14)
A Fast Modal Space Transform For Robust Nonrigid Shape Retrieval
Jianbo Ye and Yizhou Yu,
The Visual Computer, March 2015, Springer
pdf
g-scholar
pattern recognition
(extended version of the ICMR'13 paper)
Peer-reviewed Conference Proceedings
2018
A Multi-task Learning Approach for Image Captioning
Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao
IJCAI 2018
pdf learning
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
Wei Zhao, Benyou Wang,
Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen, Zhou Zhao
IJCAI 2018 (
arXiv:1712.09059 [cs.IR], December 2017)
pdf learning
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye, Xin Lu, Zhe Lin, and James Z. Wang
ICLR 2018
pdf open review learning optimization
Investigating Active Learning for Concept Prerequisite Learning
Chen Liang,
Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles
The AAAI 8th Symposium on Educational Advances in Artifical Intelligence (
EAAI), New Orleans, Lousiana, 2018
pdf
learning
2017
Dual Learning for Cross-domain Image Captioning
Wei Zhao, Wei Xu, Min Yang,
Jianbo Ye, Zhou Zhao, Yabing Feng, and Yu Qiao
CIKM 2017 (Long paper)
pdf
g-scholar
learning
A Simulated Annealing based Inexact Oracle for Wasserstein Loss Minimization
Jianbo Ye, James Z. Wang and Jia Li
ICML 2017
(
arXiv:1608.03859 [stat.CO], August 2016)
pdf & supp
g-scholar
video
optimization learning optimal transport
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
Jianbo Ye, Yanran Li, Zhaohui Wu, James Z. Wang, Wenjie Li, Jia Li
ACL 2017 (Long paper)
pdf
g-scholar
code dataset
learning optimal transport
Recovering Concept Prerequisite Relations From University Course Dependencies
Chen Liang,
Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles
The AAAI 7th Symposium on Educational Advances in Artifical Intelligence (
EAAI), San Francisco, California, 2017
pdf
g-scholar dataset preprint
learning
2013 ~ 2016
A Distance for HMMs based on Aggregated Wasserstein Metric and State Registration
Yukun Chen,
Jianbo Ye, Jia Li
ECCV 2016
(Spotlight Presentation)
pdf
g-scholar
code
pattern recognition optimal transport
Scaling Up Discrete Distribution Clustering Using ADMM
Jianbo Ye and Jia Li
ICIP 2014
pdf
g-scholar
optimization optimal transport

State-of-the-art unsupervised method to obtain a global nonrigid shape signature for shape retrieval and comparison.
Fast Nonrigid 3D Retrieval Using Modal Space Transform
Jianbo Ye, Zhicheng Yan, and Yizhou Yu
ICMR 2013
(Oral, 17.7% acceptance rate)
pdf
g-scholar
project page
dataset
slides
pattern recognition
Doctoral Thesis
Jianbo Ye, Computational Modeling of Compositional and Relational Data Using Optimal Transport and Probabilistic Models, Ph.D. thesis, The Pennsylvania State University, May 2018
pdf g-scholar
Preprints
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations
Chen Liang,
Jianbo Ye, Han Zhao, Bart Pursel, C. Lee Giles
(
arXiv:1801:06481 [cs.LG], January 2018)
pdf learning
Investigating Capsule Networks with Dynamic Routing for Text Classification
Wei Zhao,
Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang, Zhou Zhao
(
arXiv:1804.00538 [cs.CL], March 2018)
A Faster Drop-in Implementation for Leaf-wise Exact Greedy Decision Tree Induction Using Pre-sorted Deque
Jianbo Ye
(
arXiv:1712.06989 [cs.DS], December 2017)
code learning
Aggregated Wasserstein Metric and State Registration for Hidden Markov Models
Yukun Chen,
Jianbo Ye, Jia Li
(
arXiv:1711.05792 [cs.LG], November 2017)
pattern recognition optimal transport
Working Papers

Yet another model reduction technique for deformable meshes based
on approximation quality controllable subspace.
On the Approximation Theory of Linear Variational Subspace Design
Jianbo Ye and Zhixin Yan
(
arXiv:1506.08459 [cs.GR], June 2015)
pdf
g-scholar
gitxiv
software
executable demo: linux-x86_64
video (40M)
optimization
Projects outdated
[2015-2016]
AD2-Clustering: a parallel clustering algorithm for discrete distributions, including normalized histogram as a special case, under the Wasserstein metric.
software (to appear)
C MPI
[2014-2015]
neuron: I re-implemented a full-fledged Scala library for composing and training neural network of complex topologies with parameter sharing, supporting different activations, metrics, regularization, and optimization methods. It also includes different variants of multilayer perceptron and auto-encoders.
project page
Scala breeze
[2014-2015]
dmfCramer: Discrete martrix factorizatin with Cramer risk minimization, which is yet another probabilistic matrix factorization method with loss function based on large deviations theory rather than conventional MLE/MAP framework.
project page
Scala breeze
[2013]
Pocket Avatar (intern project at Intel): I developed an efficient data-driven framework for real-time facial expression retargeting.
demo
C++ MATLAB OpenCV
[2012-2013]
iMeshDeform: A C++ mesh deformation framework based on linear variational subspace.
project page
video
C++ MKL PETSc OpenGL
[2011-2012]
R-BiHDM: state-of-the-art, simple and fast signature for nonrigid shapes, which have been tested upon multiple benchmarks.
project page
C++ CGAL OpenGL