Nianjun Liu

32 papers A* 1B 1C 2Misc 7Journal 7Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel two-sample Mendelian randomization framework integrating common and rare variants: application to assess the effect of HDL-C on preeclampsia risk.
Briefings Bioinform.
Yu Zhang, Ming Li, David M. Haas, C. Noel Bairey Merz, Tsegaselassie Workalemahu, Kelli Ryckman, Janet M. Catov, Lisa D. Levine, Alexa Freedman, George R. Saade, Jiaqi Hu, Hongyu Zhao, Xihao Li, Nianjun Liu, Qi Yan
2022 J jnl
Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci.
Bioinform.
Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li
2021 J jnl
Detecting methylation quantitative trait loci using a methylation random field method.
Briefings Bioinform.
Chen Lyu, Manyan Huang, Nianjun Liu, Zhongxue Chen, Philip J. Lupo, Benjamin Tycko, John S. Witte, Charlotte A. Hobbs, Ming Li
2021 A* conf
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics.
NeurIPS
Andersen Man Shun Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang
2021 J jnl
Fast Projection onto the Capped Simplex withApplications to Sparse Regression in Bioinformatics.
CoRR
Andersen Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang
2012 J jnl
Genotype calling from next-generation sequencing data using haplotype information of reads.
Bioinform.
Degui Zhi, Jihua Wu, Nianjun Liu, Kui Zhang
2012 — conf
Phosphene vision of depth and boundary from segmentation-based associative MRFs.
EMBC
Yiran Xie, Nianjun Liu, Nick Barnes
2011 Misc conf
Stereo Matching Using Sub-segmentation and Robust Higher-Order Graph Cut.
DICTA
Yiran Xie, Nianjun Liu, Sheng Liu, Nick Barnes
2011 — conf
Substituting depth for intensity and real-time phosphene rendering: Visual navigation under low vision conditions.
EMBC
Paulette Lieby, Nick Barnes, Chris McCarthy, Nianjun Liu, Hugh Dennett, Janine G. Walker, Viorica Botea, Adele F. Scott
2010 B conf
Efficient Learning to Label Images.
ICPR
Ke Jia, Li Cheng, Nianjun Liu, Lei Wang
2010 — conf
Efficient Structured Support Vector Regression.
ACCV (3)
Ke Jia, Lei Wang, Nianjun Liu
2010 Misc conf
Evaluating Multi-scale Over-segment and Its Contribution to Real Scene Stereo Matching by High-Order MRFs.
DICTA
Yiran Xie, Rui Cao, Hanyang Tong, Sheng Liu, Nianjun Liu
2010 — conf
Guided Informative Image Partitioning.
SSPR/SPR
Nathan Brewer, Nianjun Liu, Lei Wang
2008 — conf
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics.
ISI Workshops
Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
2008 C conf
A latent semantic indexing and WordNet based information retrieval model for digital forensics.
ISI
Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
2008 — conf
Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks.
Australasian Conference on Artificial Intelligence
Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
2008 Misc conf
Soil Moisture Prediction with Feature Selection Using a Neural Network.
DICTA
Junlei Song, Dianhong Wang, Nianjun Liu, Li Cheng, Lan Du, Ke Zhang
2008 — conf
Using the Shape Characteristics of Rain to Identify and Remove Rain from Video.
SSPR/SPR
Nathan Brewer, Nianjun Liu
2007 — conf
A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas.
Australian Conference on Artificial Intelligence
Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle
2007 — conf
Discovering Prediction Model for Environmental Distribution Maps.
PAKDD Workshops
Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli
2007 Misc conf
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment.
DICTA
Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington
2007 — conf
Optimal Learning High-Order Markov Random Fields Priors of Colour Image.
ACCV (1)
Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu
2006 C conf
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics.
ISI
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tibério S. Caetano
2006 — conf
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification.
ICPR (1)
Zhouyu Fu, Terry Caelli, Nianjun Liu, Antonio Robles-Kelly
2006 Misc conf
Discover Knowledge From Distribution Maps Using Bayesian Networks.
AusDM
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill
2006 J jnl
PSMIX: an R package for population structure inference via maximum likelihood method.
BMC Bioinform.
Baolin Wu, Nianjun Liu, Hongyu Zhao
2005 Misc conf
Hand Gesture Extraction by Active Shape Models.
DICTA
Nianjun Liu, Brian C. Lovell
2005 J jnl
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms.
Bioinform.
Yin Liu, Nianjun Liu, Hongyu Zhao
2004 — conf
Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition.
ITCC (1)
Nianjun Liu, Richard I. A. Davis, Brian C. Lovell, Peter J. Kootsookos
2004 — —
Hand gesture recognition by Hidden Markov Models
Nianjun Liu
2004 — conf
Model structure selection & training algorithms for an HMM gesture recognition system.
IWFHR
Nianjun Liu, Brian C. Lovell, Peter J. Kootsookos, Richard I. A. Davis
2003 Misc conf
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting.
DICTA
Nianjun Liu, Brian C. Lovell