Nianjun Liu

According to our database, Nianjun Liu authored at least 31 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.

Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li

Bioinform., 2022

2021

Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics.

Andersen Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang

CoRR, 2021

Detecting methylation quantitative trait loci using a methylation random field method.

Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li

Briefings Bioinform., 2021

Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics.

Andersen Man Shun Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2012

Genotype calling from next-generation sequencing data using haplotype information of reads.

Degui Zhi, Jihua Wu, Nianjun Liu, Kui Zhang

Bioinform., 2012

Phosphene vision of depth and boundary from segmentation-based associative MRFs.

Yiran Xie, Nianjun Liu, Nick Barnes

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Substituting depth for intensity and real-time phosphene rendering: Visual navigation under low vision conditions.

Paulette Lieby, Nick Barnes, Chris McCarthy, Nianjun Liu, Hugh Dennett, Janine G. Walker, Viorica Botea, Adele F. Scott

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut.

Yiran Xie, Nianjun Liu, Sheng Liu, Nick Barnes

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

2010

Guided Informative Image Partitioning.

Nathan Brewer, Nianjun Liu, Lei Wang

Proceedings of the Structural, 2010

Efficient Learning to Label Images.

Ke Jia, Li Cheng, Nianjun Liu, Lei Wang

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Evaluating Multi-scale Over-segment and Its Contribution to Real Scene Stereo Matching by High-Order MRFs.

Yiran Xie, Rui Cao, Hanyang Tong, Sheng Liu, Nianjun Liu

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Efficient Structured Support Vector Regression.

Ke Jia, Lei Wang, Nianjun Liu

Proceedings of the Computer Vision - ACCV 2010, 2010

2008

Using the Shape Characteristics of Rain to Identify and Remove Rain from Video.

Nathan Brewer, Nianjun Liu

Proceedings of the Structural, 2008

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics.

Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli

Proceedings of the Intelligence and Security Informatics, 2008

A latent semantic indexing and WordNet based information retrieval model for digital forensics.

Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Soil Moisture Prediction with Feature Selection Using a Neural Network.

Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks.

Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

Discovering Prediction Model for Environmental Distribution Maps.

Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment.

Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas.

Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Optimal Learning High-Order Markov Random Fields Priors of Colour Image.

Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu

Proceedings of the Computer Vision, 2007

2006

PSMIX: an R package for population structure inference via maximum likelihood method.

Baolin Wu, Nianjun Liu, Hongyu Zhao

BMC Bioinform., 2006

An Embedded Bayesian Network Hidden Markov Model for Digital Forensics.

Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano

Proceedings of the Intelligence and Security Informatics, 2006

Boosted Band Ratio Feature Selection for Hyperspectral Image Classification.

Zhouyu Fu, Terry Caelli, Nianjun Liu, Antonio Robles-Kelly

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Discover Knowledge From Distribution Maps Using Bayesian Networks.

Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill

Proceedings of the Data Mining and Analytics 2006, 2006

2005

Inferring protein-protein interactions through high-throughput interaction data from diverse organisms.

Yin Liu, Nianjun Liu, Hongyu Zhao

Bioinform., 2005

Hand Gesture Extraction by Active Shape Models.

Nianjun Liu, Brian C. Lovell

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

2004

Hand gesture recognition by Hidden Markov Models

Nianjun Liu

PhD thesis, 2004

Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition.

Nianjun Liu, Richard I. A. Davis, Brian C. Lovell, Peter J. Kootsookos

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Model structure selection & training algorithms for an HMM gesture recognition system.

Nianjun Liu, Brian C. Lovell, Peter J. Kootsookos, Richard I. A. Davis

Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003

Gesture Classification Using Hidden Markov Models and Viterbi Path Counting.

Nianjun Liu, Brian C. Lovell

Proceedings of the Seventh International Conference on Digital Image Computing: Techniques and Applications, 2003