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Jinze 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) - [i3]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:
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. CoRR abs/2410.12793 (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 2024-11-28 20:33 CET by the dblp team
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