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ORCIDJinze Liu
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2020 – today
- 2024
[j18]Jinze Liu
, Jian Feng, Shengxiang Yang, Huaguang Zhang, Shaoning Liu:
Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology. Appl. Soft Comput. 152: 111172 (2024)- [j17]Jinze Liu, Jiayue Sun, Huaguang Zhang, Shun Xu, Zifang Zou:
N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3953-3963 (2024) - 2023
- [j16]Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu:
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization. Swarm Evol. Comput. 83: 101386 (2023) - [j15]Jinze Liu, Jian Feng, Jiayue Sun, Huaguang Zhang:
Dynamic Adaptive Hierarchical N-Level Hierarchy Optimization for Electric Power System Problems. IEEE Trans. Circuits Syst. II Express Briefs 70(12): 4419-4423 (2023) - [j14]Jinze Liu, Jian Feng, Huaguang Zhang:
Adaptive Dynamic Additional Margin With N-Level Hierarchy Optimization for Inner Detector Speed Control. IEEE Trans. Ind. Electron. 70(7): 7225-7234 (2023) - [c29]Jinze Liu, Minzhe Li, Jessy W. Grizzle, Jiunn-Kai Huang:
CLF-CBF Constraints for Real-Time Avoidance of Multiple Obstacles in Bipedal Locomotion and Navigation. IROS 2023: 10497-10504 - [i2]Jinze Liu, Minzhe Li, Jiunn-Kai Huang, Jessy W. Grizzle:
Realtime Safety Control for Bipedal Robots to Avoid Multiple Obstacles via CLF-CBF Constraints. CoRR abs/2301.01906 (2023) - 2022
- [j13]Weizhao Song, Jian Feng, Jinze Liu:
Distributed MIMO MFAC-based consensus tracking strategy for multiagent systems with fixed and switching topologies. Int. J. Syst. Sci. 53(9): 1888-1905 (2022) - 2021
- [j12]Jian Feng, Jinze Liu, Huaguang Zhang:
Speed Control of Pipeline Inner Detector Based on Interval Dynamic Matrix Control With Additional Margin. IEEE Trans. Ind. Electron. 68(12): 12657-12667 (2021) - [c28]Xiaofei Zhang, Ye Yu, Chan Hee Mok, James N. MacLeod, Jinze Liu:
Gazelle: transcript abundance query against large-scale RNA-seq experiments. BCB 2021: 10:1-10:8 - [c27]Jinpeng Liu, Xinan Liu, Ye Yu, Chi Wang, Jinze Liu:
FastCount: a fast gene count software for single-cell RNA-seq data. BCB 2021: 23:1-23:8 - 2020
- [j11]Bo Tao, Yanjun Yang, Jia Yang, Ray Smith, James Fox, Alex C. Ruane, Jinze Liu, Wei Ren:
Recent Shrinkage and Fragmentation of Bluegrass Landscape in Kentucky. Remote. Sens. 12(11): 1815 (2020) - [j10]Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu:
Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees. IEEE J. Biomed. Health Informatics 24(5): 1528-1536 (2020) - [c26]Xufeng Qu, Yuanyuan Wu, Jinze Liu, Licong Cui:
HRV-Spark: Computing Heart Rate Variability Measures Using Apache Spark. BIBM 2020: 2235-2241 - [c25]Chenhui Feng, Tao Wang, Jinze Liu, Yang Zhang, Kele Xu, Yijie Wang:
NiCad+: Speeding the Detecting Process of NiCad. SOSE 2020: 103-110
2010 – 2019
- 2019
- [j9]Jinze Liu, Tao Wang, Chenhui Feng, Huaimin Wang, Dongsheng Li:
A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization. IEEE Access 7: 131270-131281 (2019) - [j8]Jinze Liu, Jian Feng, Xianwen Gao:
Fault Diagnosis of Rod Pumping Wells Based on Support Vector Machine Optimized by Improved Chicken Swarm Optimization. IEEE Access 7: 171598-171608 (2019) - [c24]Yuanyuan Wu, Xiaojin Li, Jinze Liu, Licong Cui:
Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce. BIBM 2019: 2265-2271 - 2018
- [j7]Xinan Liu, Ye Yu, Jinpeng Liu, Corrine F. Elliott, Chen Qian, Jinze Liu:
A novel data structure to support ultra-fast taxonomic classification of metagenomic sequences with k-mer signatures. Bioinform. 34(1): 171-178 (2018) - [c23]Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu:
TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming. BCB 2018: 351-359 - [c22]Corrine F. Elliott, Kristin Linscott, Satrio Husodo, Joseph Chappell, Jinze Liu:
Toward data-driven identification of kingdom-specific protein sequence motifs. BIBM 2018: 2221-2228 - [c21]Quan Chen, Jinze Liu, Kyle Luo, Xiaofei Zhang, Xiaoqin Wang:
Transfer deep learning mammography diagnostic model from public datasets to clinical practice: a comparison of model performance and mammography datasets. IWBI 2018: 1071813 - [c20]Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin:
Adaptive software search toward users' customized requirements in GitHub. SEKE 2018: 143-142 - [r2]Jinze Liu:
Approximation of Frequent Itemsets. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c19]Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu:
Whole mammogram image classification with convolutional neural networks. BIBM 2017: 700-704 - 2016
- [c18]Yi Zhang, Xinan Liu, James N. MacLeod, Jinze Liu:
DeepSplice: Deep classification of novel splice junctions revealed by RNA-seq. BIBM 2016: 330-333 - 2014
- [j6]Yan Huang, Yin Hu, Jinze Liu:
Piecing the puzzle together: a revisit to transcript reconstruction problem in RNA-seq. BMC Bioinform. 15(S-9): S3 (2014) - 2013
- [j5]Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu:
A Robust Method for Transcript Quantification with RNA-Seq Data. J. Comput. Biol. 20(3): 167-187 (2013) - 2012
- [c17]Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu:
A Robust Method for Transcript Quantification with RNA-seq Data. RECOMB 2012: 127-147 - 2011
- [j4]Darshan Singh, Christian F. Orellana, Yin Hu, Corbin D. Jones, Yufeng Liu, Derek Y. Chiang, Jinze Liu, Jan F. Prins:
FDM: a graph-based statistical method to detect differential transcription using RNA-seq data. Bioinform. 27(19): 2633-2640 (2011) - 2010
- [j3]Yin Hu, Kai Wang, Xiaping He, Derek Y. Chiang, Jan F. Prins, Jinze Liu:
A probabilistic framework for aligning paired-end RNA-seq data. Bioinform. 26(16): 1950-1957 (2010) - [j2]Stephen J. Coleman, Zheng Zeng, Jinze Liu, James N. MacLeod:
Analysis of equine protein-coding gene structure and expression by RNA-sequencing. BMC Bioinform. 11(S-4): O8 (2010) - [j1]Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha:
Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs. IEEE Trans. Inf. Technol. Biomed. 14(5): 1137-1143 (2010)
2000 – 2009
- 2009
- [c16]Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang:
Unsupervised learning of high-order structural semantics from images. ICCV 2009: 2122-2129 - [c15]Lian Liu, Jie Wang, Jinze Liu, Jun Zhang:
Privacy Preservation in Social Networks with Sensitive Edge Weights. SDM 2009: 954-965 - [r1]Jinze Liu:
Approximation of Frequent Itemsets. Encyclopedia of Database Systems 2009: 120-124 - [i1]Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich, Jinze Liu, Ruriko Yoshida:
Bayes estimators for phylogenetic reconstruction. CoRR abs/0911.0645 (2009) - 2008
- [c14]Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha:
Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs. BIBM 2008: 199-206 - [c13]Mengsheng Zhang, Wei Wang, Jinze Liu:
Mining Approximate Order Preserving Clusters in the Presence of Noise. ICDE 2008: 160-168 - [c12]Qi Zhang, Jinze Liu, Wei Wang:
Approximate Clustering on Distributed Data Streams. ICDE 2008: 1131-1139 - 2007
- [c11]Qi Zhang, Jinze Liu, Wei Wang:
Incremental Subspace Clustering over Multiple Data Streams. ICDM 2007: 727-732 - [c10]Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins:
PoClustering: Lossless Clustering of Dissimilarity Data. SDM 2007: 557-562 - 2006
- [b1]Jinze Liu:
New approaches for clustering high dimensional data. University of North Carolina, Chapel Hill, USA, 2006 - [c9]Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins:
Clustering pair-wise dissimilarity data into partially ordered sets. KDD 2006: 637-642 - [c8]Stephen Olivier, Jun Huan, Jinze Liu, Jan F. Prins, James Dinan, P. Sadayappan, Chau-Wen Tseng:
UTS: An Unbalanced Tree Search Benchmark. LCPC 2006: 235-250 - [c7]Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan F. Prins:
Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. SDM 2006: 407-418 - 2005
- [c6]Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan F. Prins:
Mining Approximate Frequent Itemsets from Noisy Data. ICDM 2005: 721-724 - 2004
- [c5]Jinze Liu, Jiong Yang, Wei Wang:
Biclustering in Gene Expression Data by Tendency. CSB 2004: 182-193 - [c4]Jinze Liu, Wei Wang, Jiong Yang:
Gene Ontology Friendly Biclustering of Expression Profiles. CSB 2004: 436-447 - [c3]Jinze Liu, Karl Strohmaier, Wei Wang:
Revealing True Subspace Clusters in High Dimensions. ICDM 2004: 463-466 - [c2]Jinze Liu, Wei Wang, Jiong Yang:
A framework for ontology-driven subspace clustering. KDD 2004: 623-628 - 2003
- [c1]Jinze Liu, Wei Wang:
OP-Cluster: Clustering by Tendency in High Dimensional Space. ICDM 2003: 187-194
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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