Nianjun Liu

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 4

Top Topics

Random Field Model

Feature Selection And Classification

Sparse Regression

Top Venues

Briefings Bioinform.

Publications

Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci. Bioinform. 38 (16) (2022)
Andersen Man Shun Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics. NeurIPS (2021)
Andersen Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang
Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics. CoRR (2021)
Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li
Detecting methylation quantitative trait loci using a methylation random field method. Briefings Bioinform. 22 (6) (2021)
Yiran Xie, Nianjun Liu, Nick Barnes
Phosphene vision of depth and boundary from segmentation-based associative MRFs. EMBC (2012)
Degui Zhi, Jihua Wu, Nianjun Liu, Kui Zhang
Genotype calling from next-generation sequencing data using haplotype information of reads. Bioinform. 28 (7) (2012)
Paulette Lieby, Nick Barnes, Chris McCarthy, Nianjun Liu, Hugh Dennett, Janine G. Walker, Viorica Botea, Adele F. Scott
Substituting depth for intensity and real-time phosphene rendering: Visual navigation under low vision conditions. EMBC (2011)
Yiran Xie, Nianjun Liu, Sheng Liu, Nick Barnes
Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut. DICTA (2011)
Yiran Xie, Rui Cao, Hanyang Tong, Sheng Liu, Nianjun Liu
Evaluating Multi-scale Over-segment and Its Contribution to Real Scene Stereo Matching by High-Order MRFs. DICTA (2010)
Ke Jia, Li Cheng, Nianjun Liu, Lei Wang
Efficient Learning to Label Images. ICPR (2010)
Nathan Brewer, Nianjun Liu, Lei Wang
Guided Informative Image Partitioning. SSPR/SPR (2010)
Ke Jia, Lei Wang, Nianjun Liu
Efficient Structured Support Vector Regression. ACCV (3) (2010)
Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops (2008)
Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang
Soil Moisture Prediction with Feature Selection Using a Neural Network. DICTA (2008)
Nathan Brewer, Nianjun Liu
Using the Shape Characteristics of Rain to Identify and Remove Rain from Video. SSPR/SPR (2008)
Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI (2008)
Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence (2008)
Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle
A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. Australian Conference on Artificial Intelligence (2007)
Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli
Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops (2007)
Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu
Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) (2007)
Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA (2007)
Zhouyu Fu, Terry Caelli, Nianjun Liu, Antonio Robles-Kelly
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification. ICPR (1) (2006)
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI (2006)
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill
Discover Knowledge From Distribution Maps Using Bayesian Networks. AusDM (2006)
Baolin Wu, Nianjun Liu, Hongyu Zhao
PSMIX: an R package for population structure inference via maximum likelihood method. BMC Bioinform. 7 (2006)
Nianjun Liu, Brian C. Lovell
Hand Gesture Extraction by Active Shape Models. DICTA (2005)
Yin Liu, Nianjun Liu, Hongyu Zhao
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms. Bioinform. 21 (15) (2005)
Nianjun Liu, Richard I. A. Davis, Brian C. Lovell, Peter J. Kootsookos
Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition. ITCC (1) (2004)
Nianjun Liu, Brian C. Lovell, Peter J. Kootsookos, Richard I. A. Davis
Model structure selection & training algorithms for an HMM gesture recognition system. IWFHR (2004)
Nianjun Liu, Brian C. Lovell
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. DICTA (2003)