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2020 – today
- 2022
[j5]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): 3853-3862 (2022)- 2021
- [j4]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) - [c24]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: 9990-9999 - [i1]Andersen Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang:
Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics. CoRR abs/2110.08471 (2021)
2010 – 2019
- 2012
- [j3]Degui Zhi, Jihua Wu, Nianjun Liu, Kui Zhang:
Genotype calling from next-generation sequencing data using haplotype information of reads. Bioinform. 28(7): 938-946 (2012) - [c23]Yiran Xie, Nianjun Liu, Nick Barnes:
Phosphene vision of depth and boundary from segmentation-based associative MRFs. EMBC 2012: 5314-5318 - 2011
- [c22]Yiran Xie, Nianjun Liu, Sheng Liu, Nick Barnes:
Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut. DICTA 2011: 518-523 - [c21]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: 8017-8020 - 2010
- [c20]Ke Jia, Lei Wang, Nianjun Liu:
Efficient Structured Support Vector Regression. ACCV (3) 2010: 586-598 - [c19]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: 235-240 - [c18]Ke Jia, Li Cheng, Nianjun Liu, Lei Wang:
Efficient Learning to Label Images. ICPR 2010: 942-945 - [c17]Nathan Brewer, Nianjun Liu, Lei Wang:
Guided Informative Image Partitioning. SSPR/SPR 2010: 202-212
2000 – 2009
- 2008
- [c16]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: 470-481 - [c15]Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang:
Soil Moisture Prediction with Feature Selection Using a Neural Network. DICTA 2008: 130-136 - [c14]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: 70-75 - [c13]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: 217-228 - [c12]Nathan Brewer, Nianjun Liu:
Using the Shape Characteristics of Rain to Identify and Remove Rain from Video. SSPR/SPR 2008: 451-458 - 2007
- [c11]Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu:
Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) 2007: 482-491 - [c10]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: 694-698 - [c9]Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington:
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA 2007: 23-29 - [c8]Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli:
Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops 2007: 99-109 - 2006
- [j2]Baolin Wu, Nianjun Liu, Hongyu Zhao:
PSMIX: an R package for population structure inference via maximum likelihood method. BMC Bioinform. 7: 317 (2006) - [c7]Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill:
Discover Knowledge From Distribution Maps Using Bayesian Networks. AusDM 2006: 69-74 - [c6]Zhouyu Fu, Terry Caelli, Nianjun Liu, Antonio Robles-Kelly:
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification. ICPR (1) 2006: 1059-1062 - [c5]Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano:
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics. ISI 2006: 459-465 - 2005
- [j1]Yin Liu, Nianjun Liu, Hongyu Zhao:
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms. Bioinform. 21(15): 3279-3285 (2005) - [c4]Nianjun Liu, Brian C. Lovell:
Hand Gesture Extraction by Active Shape Models. DICTA 2005: 10 - 2004
- [b1]Nianjun Liu:
Hand gesture recognition by Hidden Markov Models. University of Queensland, Australia, 2004 - [c3]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: 100-105 - [c2]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: 608-613 - 2003
- [c1]Nianjun Liu, Brian C. Lovell:
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting. DICTA 2003: 273-282
Coauthor Index
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