Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. - Nianjun Liu; Brian C. Lovell (DICTA, 2003)

Model structure selection & training algorithms for an HMM gesture recognition system. - Nianjun Liu; Brian C. Lovell; Peter J. Kootsookos; Richard I. A. Davis (IWFHR, 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 (ITCC (1), 2004)

Hand gesture recognition by Hidden Markov Models - Nianjun Liu (2004)

Hand Gesture Extraction by Active Shape Models. - Nianjun Liu; Brian C. Lovell (DICTA, 2005)

Inferring protein-protein interactions through high-throughput interaction data from diverse organisms. - Yin Liu; Nianjun Liu; Hongyu Zhao 003 (Bioinform., 2005)

Discover Knowledge From Distribution Maps Using Bayesian Networks. - Norazwin Buang; Nianjun Liu; Terry Caelli; Rob Lesslie; Michael J. Hill (AusDM, 2006)

Boosted Band Ratio Feature Selection for Hyperspectral Image Classification. - Zhouyu Fu; Terry Caelli; Nianjun Liu; Antonio Robles-Kelly (ICPR (1), 2006)

An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. - Olivier Y. de Vel; Nianjun Liu; Terry Caelli; Tibério S. Caetano (ISI, 2006)

PSMIX: an R package for population structure inference via maximum likelihood method. - Baolin Wu; Nianjun Liu; Hongyu Zhao 003 (BMC Bioinform., 2006)

Optimal Learning High-Order Markov Random Fields Priors of Colour Image. - Ke Zhang; Huidong Jin 001; Zhouyu Fu; Nianjun Liu (ACCV (1), 2007)

A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. - Bin Jiang; Huidong Jin 001; Nianjun Liu; Mike Quirk; Ben Searle (Australian Conference on Artificial Intelligence, 2007)

Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. - Yifan Lu; Henry Gardner; Huidong Jin 001; Nianjun Liu; Rhys Hawkins; Ian Farrington (DICTA, 2007)

Discovering Prediction Model for Environmental Distribution Maps. - Ke Zhang; Huidong Jin 001; Nianjun Liu; Rob Lesslie; Lei Wang 001; Zhouyu Fu; Terry Caelli (PAKDD Workshops, 2007)

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. - Huidong Jin 001; Olivier Y. de Vel; Ke Zhang; Nianjun Liu (Australasian Conference on Artificial Intelligence, 2008)

Soil Moisture Prediction with Feature Selection Using a Neural Network. - Junlei Song; Dianhong Wang; Nianjun Liu; Li Cheng 001; Lan Du 002; Ke Zhang (DICTA, 2008)

A latent semantic indexing and WordNet based information retrieval model for digital forensics. - Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu (ISI, 2008)

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. - Phan Thien Son; Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu; Terry Caelli (ISI Workshops, 2008)

Using the Shape Characteristics of Rain to Identify and Remove Rain from Video. - Nathan Brewer; Nianjun Liu (SSPR/SPR, 2008)

Efficient Structured Support Vector Regression. - Ke Jia; Lei Wang 001; Nianjun Liu (ACCV (3), 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 002; Nianjun Liu (DICTA, 2010)

Efficient Learning to Label Images. - Ke Jia; Li Cheng 001; Nianjun Liu; Lei Wang 001 (ICPR, 2010)

Guided Informative Image Partitioning. - Nathan Brewer; Nianjun Liu; Lei Wang 001 (SSPR/SPR, 2010)

Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut. - Yiran Xie; Nianjun Liu; Sheng Liu 002; Nick Barnes (DICTA, 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 (EMBC, 2011)

Phosphene vision of depth and boundary from segmentation-based associative MRFs. - Yiran Xie; Nianjun Liu; Nick Barnes (EMBC, 2012)

Genotype calling from next-generation sequencing data using haplotype information of reads. - Degui Zhi; Jihua Wu; Nianjun Liu; Kui Zhang (Bioinform., 2012)

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 (NeurIPS, 2021)

Detecting methylation quantitative trait loci using a methylation random field method. - Chen Lyu 005; 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 withApplications to Sparse Regression in Bioinformatics. - Andersen Ang; Jianzhu Ma; Nianjun Liu; Kun Huang; Yijie Wang (CoRR, 2021)

Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci. - Chen Lyu 005; Manyan Huang; Nianjun Liu; Zhongxue Chen; Philip J. Lupo; Benjamin Tycko; John S. Witte; Charlotte A. Hobbs; Ming Li (Bioinform., 2022)