Jinze Liu

65 papers A* 9A 5B 1C 1Journal 32Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sample size requirements for machine learning classification of binary outcomes in bulk RNA-Seq data.
BMC Bioinform.
Scott Silvey, Amy Olex, Shaojun Tang, Jinze Liu
2025 J jnl
A novel multi-level hierarchy optimization algorithm for pipeline inner detector speed control.
Neurocomputing
Jinze Liu, Jian Feng, Huaguang Zhang, Shengxiang Yang
2025 J jnl
Deciphering genomic codes using advanced natural language processing techniques: a scoping review.
J. Am. Medical Informatics Assoc.
Shuyan Cheng, Yishu Wei, Yiliang Zhou, Zihan Xu, Drew N. Wright, Jinze Liu, Yifan Peng
2025 J jnl
Dynamic Category Preference Learning: Tackling Long-Tailed Semi-Supervised Segmentation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Junjun Li, Yong Liu, Shiheng Zhang, Baoqi Yu, Zijun Zhou, Jinze Liu
2025 J jnl
MTRCP: Multimodal Two-Level Fusion Architecture for Roadside Cooperative Perception.
IEEE Intell. Transp. Syst. Mag.
Chao Xiang, Jinze Liu, Yubo Chang, Hao Xu, Zhendong Niu, Mingchuan Yang
2025 J jnl
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review.
CoRR
Yuhan Zhang, Yishu Wei, Yanshan Wang, Yunyu Xiao, Ronald K. Poropatich, Gretchen L. Haas, Yiye Zhang, Chunhua Weng, Jinze Liu, Lisa A. Brenner, James M. Bjork, Yifan Peng
2025 J jnl
Machine learning applications related to suicide in military and Veterans: A scoping literature review.
J. Biomed. Informatics
Yuhan Zhang, Yishu Wei, Yanshan Wang, Yunyu Xiao, Ronald K. Poropatich, Gretchen L. Haas, Yiye Zhang, Chunhua Weng, Jinze Liu, Lisa A. Brenner, James M. Bjork, Yifan Peng
2025 A conf
Offline Reinforcement Learning with Koopman Operators for Control of Soft Robots.
IROS
Yue Jiang, Cong Li, Yihe Yang, Wenyu Cao, Xin Xu, Jinze Liu, Wei Jiang, Xinglong Zhang
2025 J jnl
UAV-Assisted Vehicle Edge Computing Resource Allocation Under Blockchain Application.
Concurr. Comput. Pract. Exp.
Fengna Ji, Zhiyong Wu, Yuhang Jiang, Zhenyu Yang, Jinze Liu
2024 J jnl
BTR: a bioinformatics tool recommendation system.
Bioinform.
Ryan Green, Xufeng Qu, Jinze Liu, Tingting Yu
2024 J jnl
Deciphering genomic codes using advanced NLP techniques: a scoping review.
CoRR
Shuyan Cheng, Yishu Wei, Yiliang Zhou, Zihan Xu, Drew N. Wright, Jinze Liu, Yifan Peng
2024 J jnl
Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology.
Appl. Soft Comput.
Jinze Liu, Jian Feng, Shengxiang Yang, Huaguang Zhang, Shaoning Liu
2024 J jnl
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.
CoRR
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 J. 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
2024 J jnl
N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems.
IEEE Trans. Neural Networks Learn. Syst.
Jinze Liu, Jiayue Sun, Huaguang Zhang, Shun Xu, Zifang Zou
2024 J jnl
scFed: federated learning for cell type classification with scRNA-seq.
Briefings Bioinform.
Shuang Wang, Bochen Shen, Lanting Guo, Mengqi Shang, Jinze Liu, Qi Sun, Bairong Shen
2023 J jnl
Adaptive Dynamic Additional Margin With N-Level Hierarchy Optimization for Inner Detector Speed Control.
IEEE Trans. Ind. Electron.
Jinze Liu, Jian Feng, Huaguang Zhang
2023 J jnl
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.
Swarm Evol. Comput.
Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu
2023 A conf
CLF-CBF Constraints for Real-Time Avoidance of Multiple Obstacles in Bipedal Locomotion and Navigation.
IROS
Jinze Liu, Minzhe Li, Jessy W. Grizzle, Jiunn-Kai Huang
2023 J jnl
Dynamic Adaptive Hierarchical N-Level Hierarchy Optimization for Electric Power System Problems.
IEEE Trans. Circuits Syst. II Express Briefs
Jinze Liu, Jian Feng, Jiayue Sun, Huaguang Zhang
2023 J jnl
Realtime Safety Control for Bipedal Robots to Avoid Multiple Obstacles via CLF-CBF Constraints.
CoRR
Jinze Liu, Minzhe Li, Jiunn-Kai Huang, Jessy W. Grizzle
2022 J jnl
Distributed MIMO MFAC-based consensus tracking strategy for multiagent systems with fixed and switching topologies.
Int. J. Syst. Sci.
Weizhao Song, Jian Feng, Jinze Liu
2021 — conf
FastCount: a fast gene count software for single-cell RNA-seq data.
BCB
Jinpeng Liu, Xinan Liu, Ye Yu, Chi Wang, Jinze Liu
2021 — conf
Gazelle: transcript abundance query against large-scale RNA-seq experiments.
BCB
Xiaofei Zhang, Ye Yu, Chan Hee Mok, James N. MacLeod, Jinze Liu
2021 J jnl
Speed Control of Pipeline Inner Detector Based on Interval Dynamic Matrix Control With Additional Margin.
IEEE Trans. Ind. Electron.
Jian Feng, Jinze Liu, Huaguang Zhang
2020 — conf
HRV-Spark: Computing Heart Rate Variability Measures Using Apache Spark.
BIBM
Xufeng Qu, Yuanyuan Wu, Jinze Liu, Licong Cui
2020 J jnl
Inferring Gene Regulatory Networks of Metabolic Enzymes Using Gradient Boosted Trees.
IEEE J. Biomed. Health Informatics
Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu
2020 — conf
NiCad+: Speeding the Detecting Process of NiCad.
SOSE
Chenhui Feng, Tao Wang, Jinze Liu, Yang Zhang, Kele Xu, Yijie Wang
2020 J jnl
Recent Shrinkage and Fragmentation of Bluegrass Landscape in Kentucky.
Remote. Sens.
Bo Tao, Yanjun Yang, Jia Yang, Ray Smith, James Fox, Alex C. Ruane, Jinze Liu, Wei Ren
2019 J jnl
A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization.
IEEE Access
Jinze Liu, Tao Wang, Chenhui Feng, Huaimin Wang, Dongsheng Li
2019 J jnl
Fault Diagnosis of Rod Pumping Wells Based on Support Vector Machine Optimized by Improved Chicken Swarm Optimization.
IEEE Access
Jinze Liu, Jian Feng, Xianwen Gao
2019 — conf
Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce.
BIBM
Yuanyuan Wu, Xiaojin Li, Jinze Liu, Licong Cui
2018 J jnl
A novel data structure to support ultra-fast taxonomic classification of metagenomic sequences with k-mer signatures.
Bioinform.
Xinan Liu, Ye Yu, Jinpeng Liu, Corrine F. Elliott, Chen Qian, Jinze Liu
2018 C conf
Adaptive software search toward users' customized requirements in GitHub.
SEKE
Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin
2018 — ch.
Approximation of Frequent Itemsets.
Encyclopedia of Database Systems (2nd ed.)
Jinze Liu
2018 — conf
TFmeta: A Machine Learning Approach to Uncover Transcription Factors Governing Metabolic Reprogramming.
BCB
Yi Zhang, Xiaofei Zhang, Andrew N. Lane, Teresa W.-M. Fan, Jinze Liu
2018 — conf
Toward data-driven identification of kingdom-specific protein sequence motifs.
BIBM
Corrine F. Elliott, Kristin Linscott, Satrio Husodo, Joseph Chappell, Jinze Liu
2018 — conf
Transfer deep learning mammography diagnostic model from public datasets to clinical practice: a comparison of model performance and mammography datasets.
IWBI
Quan Chen, Jinze Liu, Kyle Luo, Xiaofei Zhang, Xiaoqin Wang
2017 — conf
Whole mammogram image classification with convolutional neural networks.
BIBM
Xiaofei Zhang, Yi Zhang, Erik Y. Han, Nathan Jacobs, Qiong Han, Xiaoqin Wang, Jinze Liu
2016 — conf
DeepSplice: Deep classification of novel splice junctions revealed by RNA-seq.
BIBM
Yi Zhang, Xinan Liu, James N. MacLeod, Jinze Liu
2014 J jnl
Piecing the puzzle together: a revisit to transcript reconstruction problem in RNA-seq.
BMC Bioinform.
Yan Huang, Yin Hu, Jinze Liu
2013 J jnl
A Robust Method for Transcript Quantification with RNA-Seq Data.
J. Comput. Biol.
Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu
2012 B conf
A Robust Method for Transcript Quantification with RNA-seq Data.
RECOMB
Yan Huang, Yin Hu, Corbin D. Jones, James N. MacLeod, Derek Y. Chiang, Yufeng Liu, Jan F. Prins, Jinze Liu
2011 J jnl
FDM: a graph-based statistical method to detect differential transcription using RNA-seq data.
Bioinform.
Darshan Singh, Christian F. Orellana, Yin Hu, Corbin D. Jones, Yufeng Liu, Derek Y. Chiang, Jinze Liu, Jan F. Prins
2010 J jnl
A probabilistic framework for aligning paired-end RNA-seq data.
Bioinform.
Yin Hu, Kai Wang, Xiaping He, Derek Y. Chiang, Jan F. Prins, Jinze Liu
2010 J jnl
Analysis of equine protein-coding gene structure and expression by RNA-sequencing.
BMC Bioinform.
Stephen J. Coleman, Zheng Zeng, Jinze Liu, James N. MacLeod
2010 J jnl
Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs.
IEEE Trans. Inf. Technol. Biomed.
Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2009 — ch.
Approximation of Frequent Itemsets.
Encyclopedia of Database Systems
Jinze Liu
2009 J jnl
Bayes estimators for phylogenetic reconstruction
CoRR
Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich, Jinze Liu, Ruriko Yoshida
2009 A conf
Privacy Preservation in Social Networks with Sensitive Edge Weights.
SDM
Lian Liu, Jie Wang, Jinze Liu, Jun Zhang
2009 A* conf
Unsupervised learning of high-order structural semantics from images.
ICCV
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang
2008 A* conf
Approximate Clustering on Distributed Data Streams.
ICDE
Qi Zhang, Jinze Liu, Wei Wang
2008 — conf
Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs.
BIBM
Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2008 A* conf
Mining Approximate Order Preserving Clusters in the Presence of Noise.
ICDE
Mengsheng Zhang, Wei Wang, Jinze Liu
2007 A* conf
Incremental Subspace Clustering over Multiple Data Streams.
ICDM
Qi Zhang, Jinze Liu, Wei Wang
2007 A conf
PoClustering: Lossless Clustering of Dissimilarity Data.
SDM
Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins
2006 A* conf
Clustering pair-wise dissimilarity data into partially ordered sets.
KDD
Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins
2006 A conf
Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis.
SDM
Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan F. Prins
2006 — —
New approaches for clustering high dimensional data.
Jinze Liu
2006 — conf
UTS: An Unbalanced Tree Search Benchmark.
LCPC
Stephen Olivier, Jun Huan, Jinze Liu, Jan F. Prins, James Dinan, P. Sadayappan, Chau-Wen Tseng
2005 A* conf
Mining Approximate Frequent Itemsets from Noisy Data.
ICDM
Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan F. Prins
2004 A* conf
A framework for ontology-driven subspace clustering.
KDD
Jinze Liu, Wei Wang, Jiong Yang
2004 — conf
Biclustering in Gene Expression Data by Tendency.
CSB
Jinze Liu, Jiong Yang, Wei Wang
2004 — conf
Gene Ontology Friendly Biclustering of Expression Profiles.
CSB
Jinze Liu, Wei Wang, Jiong Yang
2004 A* conf
Revealing True Subspace Clusters in High Dimensions.
ICDM
Jinze Liu, Karl Strohmaier, Wei Wang
2003 A* conf
OP-Cluster: Clustering by Tendency in High Dimensional Space.
ICDM
Jinze Liu, Wei Wang