Jinze Liu

According to our database, Jinze Liu authored at least 52 papers between 2003 and 2024.

Collaborative distances:

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

2024

N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems.

Jinze Liu, Jiayue Sun, Huaguang Zhang, Shun Xu, Zifang Zou

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng

CoRR, 2024

Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology.

Jinze Liu, Jian Feng, Shengxiang Yang, Huaguang Zhang, Shaoning Liu

Appl. Soft Comput., 2024

2023

Dynamic Adaptive Hierarchical N-Level Hierarchy Optimization for Electric Power System Problems.

Jinze Liu, Jian Feng, Jiayue Sun, Huaguang Zhang

IEEE Trans. Circuits Syst. II Express Briefs, December, 2023

An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.

Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu

Swarm Evol. Comput., December, 2023

Adaptive Dynamic Additional Margin With N-Level Hierarchy Optimization for Inner Detector Speed Control.

Jinze Liu, Jian Feng, Huaguang Zhang

IEEE Trans. Ind. Electron., July, 2023

Realtime Safety Control for Bipedal Robots to Avoid Multiple Obstacles via CLF-CBF Constraints.

Jinze Liu, Minzhe Li, Jiunn-Kai Huang, Jessy W. Grizzle

CoRR, 2023

CLF-CBF Constraints for Real-Time Avoidance of Multiple Obstacles in Bipedal Locomotion and Navigation.

Jinze Liu, Minzhe Li, Jessy W. Grizzle, Jiunn-Kai Huang

IROS, 2023

2022

Distributed MIMO MFAC-based consensus tracking strategy for multiagent systems with fixed and switching topologies.

Weizhao Song, Jian Feng, Jinze Liu

Int. J. Syst. Sci., 2022

2021

Speed Control of Pipeline Inner Detector Based on Interval Dynamic Matrix Control With Additional Margin.

Jian Feng, Jinze Liu, Huaguang Zhang

IEEE Trans. Ind. Electron., 2021

Gazelle: transcript abundance query against large-scale RNA-seq experiments.

Xiaofei Zhang, Ye Yu, Chan Hee Mok, James N. MacLeod, Jinze Liu

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

FastCount: a fast gene count software for single-cell RNA-seq data.

Jinpeng Liu, Xinan Liu, Ye Yu, Chi Wang, Jinze Liu

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.

Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu

IEEE J. Biomed. Health Informatics, 2020

Recent Shrinkage and Fragmentation of Bluegrass Landscape in Kentucky.

Bo Tao, Yanjun Yang, Jia Yang, Ray Smith, James Fox, Alex C. Ruane, Jinze Liu, Wei Ren

Remote. Sens., 2020

NiCad+: Speeding the Detecting Process of NiCad.

Chenhui Feng, Tao Wang, Jinze Liu, Yang Zhang, Kele Xu, Yijie Wang

Proceedings of the 14th IEEE International Conference on Service Oriented Systems Engineering, 2020

HRV-Spark: Computing Heart Rate Variability Measures Using Apache Spark.

Xufeng Qu, Yuanyuan Wu, Jinze Liu, Licong Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization.

Jinze Liu, Tao Wang, Chenhui Feng, Huaimin Wang, Dongsheng Li

IEEE Access, 2019

Fault Diagnosis of Rod Pumping Wells Based on Support Vector Machine Optimized by Improved Chicken Swarm Optimization.

Jinze Liu, Jian Feng, Xianwen Gao

IEEE Access, 2019

Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce.

Yuanyuan Wu, Xiaojin Li, Jinze Liu, Licong Cui

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Approximation of Frequent Itemsets.

Jinze Liu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

A novel data structure to support ultra-fast taxonomic classification of metagenomic sequences with k-mer signatures.

Xinan Liu, Ye Yu, Jinpeng Liu, Corrine F. Elliott, Chen Qian, Jinze Liu

Bioinform., 2018

Adaptive software search toward users' customized requirements in GitHub.

Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Transfer deep learning mammography diagnostic model from public datasets to clinical practice: a comparison of model performance and mammography datasets.

Quan Chen, Jinze Liu, Kyle Luo, Xiaofei Zhang, Xiaoqin Wang

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Toward data-driven identification of kingdom-specific protein sequence motifs.

Corrine F. Elliott, Kristin Linscott, Satrio Husodo, Joseph Chappell, Jinze Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming.

Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Whole mammogram image classification with convolutional neural networks.

Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

DeepSplice: Deep classification of novel splice junctions revealed by RNA-seq.

Yi Zhang, Xinan Liu, James N. MacLeod, Jinze Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

Piecing the puzzle together: a revisit to transcript reconstruction problem in RNA-seq.

Yan Huang, Yin Hu, Jinze Liu

BMC Bioinform., 2014

2013

A Robust Method for Transcript Quantification with RNA-Seq Data.

Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu

J. Comput. Biol., 2013

2011

FDM: a graph-based statistical method to detect differential transcription using RNA-seq data.

Darshan Singh, Christian F. Orellana, Yin Hu, Corbin D. Jones, Yufeng Liu, Derek Y. Chiang, Jinze Liu, Jan F. Prins

Bioinform., 2011

2010

Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs.

Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha

IEEE Trans. Inf. Technol. Biomed., 2010

Analysis of equine protein-coding gene structure and expression by RNA-sequencing.

Stephen J. Coleman, Zheng Zeng, Jinze Liu, James N. MacLeod

BMC Bioinform., 2010

A probabilistic framework for aligning paired-end RNA-seq data.

Yin Hu, Kai Wang, Xiaping He, Derek Y. Chiang, Jan F. Prins, Jinze Liu

Bioinform., 2010

2009

Approximation of Frequent Itemsets.

Jinze Liu

Proceedings of the Encyclopedia of Database Systems, 2009

Bayes estimators for phylogenetic reconstruction

Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich, Jinze Liu, Ruriko Yoshida

CoRR, 2009

Privacy Preservation in Social Networks with Sensitive Edge Weights.

Lian Liu, Jie Wang, Jinze Liu, Jun Zhang

Proceedings of the SIAM International Conference on Data Mining, 2009

Unsupervised learning of high-order structural semantics from images.

Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Mining Approximate Order Preserving Clusters in the Presence of Noise.

Mengsheng Zhang, Wei Wang, Jinze Liu

Proceedings of the 24th International Conference on Data Engineering, 2008

Approximate Clustering on Distributed Data Streams.

Qi Zhang, Jinze Liu, Wei Wang

Proceedings of the 24th International Conference on Data Engineering, 2008

Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs.

Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007

PoClustering: Lossless Clustering of Dissimilarity Data.

Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Incremental Subspace Clustering over Multiple Data Streams.

Qi Zhang, Jinze Liu, Wei Wang

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

New approaches for clustering high dimensional data.

Jinze Liu

PhD thesis, 2006

Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis.

Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan F. Prins

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

UTS: An Unbalanced Tree Search Benchmark.

Stephen Olivier, Jun Huan, Jinze Liu, Jan F. Prins, James Dinan, P. Sadayappan, Chau-Wen Tseng

Proceedings of the Languages and Compilers for Parallel Computing, 2006

Clustering pair-wise dissimilarity data into partially ordered sets.

Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Mining Approximate Frequent Itemsets from Noisy Data.

Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan F. Prins

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

A framework for ontology-driven subspace clustering.

Jinze Liu, Wei Wang, Jiong Yang

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Revealing True Subspace Clusters in High Dimensions.

Jinze Liu, Karl Strohmaier, Wei Wang

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Biclustering in Gene Expression Data by Tendency.

Jinze Liu, Jiong Yang, Wei Wang

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

Gene Ontology Friendly Biclustering of Expression Profiles.

Jinze Liu, Wei Wang, Jiong Yang

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

2003

OP-Cluster: Clustering by Tendency in High Dimensional Space.

Jinze Liu, Wei Wang

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003