Feng Liang

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Learning Locally-Adaptive Decision Functions for Person Verification

Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith
2013 IEEE Conference on Computer Vision and…
2013

This paper considers the person verification problem in modern surveillance and video retrieval systems. The problem is to identify whether a pair of face or human body images is about the same… (More)

Mixtures of g Priors for Bayesian Variable Selection

Feng Liang, Rui Paulo, Germán Molina, Merlise A. Clyde, Jim Berger
2007

Zellner’s g prior remains a popular conventional prior for use in Bayesian variable selection, despite several undesirable consistency issues. In this article we study mixtures of g priors as an… (More)

TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets

Geo Pertea, Xiaoqiu Huang, +9 authors John Quackenbush
Bioinformatics
2003

TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by… (More)

The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic species

John Quackenbush, Jennifer Cho, +7 authors Joseph White
Nucleic Acids Research
2001

While genome sequencing projects are advancing rapidly, EST sequencing and analysis remains a primary research tool for the identification and categorization of gene sequences in a wide variety of… (More)

On community outliers and their efficient detection in information networks

Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han
KDD
2010

Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected via friend links,… (More)

Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models

Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han
NIPS
2009

Ensemble classifiers such as bagging, boosting and model averaging are known to have improved accuracy and robustness over a single model. Their potential, however, is limited in applications which… (More)

The TIGR Gene Indices: reconstruction and representation of expressed gene sequences

John Quackenbush, Feng Liang, Ingeborg Holt, Geo Pertea, Jonathan Upton
Nucleic Acids Research
2000

Expressed sequence tags (ESTs) have provided a first glimpse of the collection of transcribed sequences in a variety of organisms. However, a careful analysis of this sequence data can provide… (More)

Hierarchical Gaussianization for image classification

Xi Zhou, Na Cui, Zhen Li, Feng Liang, Thomas S. Huang
2009 IEEE 12th International Conference on…
2009

In this paper, we propose a new image representation to capture both the appearance and spatial information for image classification applications. First, we model the feature vectors, from the whole… (More)

Heterogeneous feature machines for visual recognition

Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. Huang
2009 IEEE 12th International Conference on…
2009

With the recent efforts made by computer vision researchers, more and more types of features have been designed to describe various aspects of visual characteristics. Modeling such heterogeneous… (More)

Accelerating magnetic resonance imaging via deep learning

Shanshan Wang, Zhenghang Su, +5 authors Dong Liang
2016 IEEE 13th International Symposium on…
2016

This paper proposes a deep learning approach for accelerating magnetic resonance imaging (MRI) using a large number of existing high quality MR images as the training datasets. An off-line… (More)

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