Gang Fang

According to our database, Gang Fang authored at least 67 papers between 1998 and 2025.

Collaborative distances:

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

2025

A metric and its derived protein network for evaluation of ortholog database inconsistency.

Weijie Yang, Jingsi Ji, Gang Fang

BMC Bioinform., December, 2025

2024

Rethinking Self-Supervised Semantic Segmentation: Achieving End-to-End Segmentation.

Yue Liu, Jun Zeng, Xingzhen Tao, Gang Fang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Research on a Corrosion Detection Method for Oil Tank Bottoms Based on Acoustic Emission Technology.

Weixing Hua, Yan Chen, Xiang Zhao, Jiping Yang, Han Chen, Zhaojie Wu, Gang Fang

Sensors, May, 2024

Ultra-Short Time Imaging of Urban Underground Structures Using Vehicle Noise Coda Waves.

Lei Hao, Lei Chen, Bin Liu, Lanbo Liu, Zhongzhi Li, Yang Zhao, Gang Fang

IEEE Trans. Geosci. Remote. Sens., 2024

Contrastive visual clustering for improving instance-level contrastive learning as a plugin.

Yue Liu, Xiangzhen Zan, Xianbin Li, Wenbin Liu, Gang Fang

Pattern Recognit., 2024

Robustness test-time augmentation via learnable aggregation and anomaly detection.

Haoyu Xiong, Leixin Yang, Gang Fang, Junwei Li, Yu Xiang, Yaping Zhang

J. Intell. Fuzzy Syst., 2024

ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images.

Zhihong Chen, Lisha Yao, Yanfen Cui, Yunlin Zheng, Suyun Li, Xiaorui Han, Xuewei Kang, Wenbin Liu, Xin Chen, Chu Han, Zaiyi Liu, Bingjiang Qiu, Gang Fang

Biomed. Signal Process. Control., 2024

An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis.

Zhangjun Wu, Gang Fang, Yifei Wang, Renli Xu

Appl. Soft Comput., 2024

Twinning quality sensors in wastewater treatment process via optimized echo state network-based soft sensors.

Gang Fang, Yiqi Liu

Appl. Soft Comput., 2024

STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios.

Haoyu Xiong, Xinchun Zhang, Leixin Yang, Yu Xiang, Gang Fang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Multi-Attribute Group Decision Making Based on Spherical Fuzzy Zagreb Energy.

Gang Fang, Uzma Ahmad, Sobia Ikhlaq, Leila Asgharsharghi

Symmetry, August, 2023

Quantifying Urban Activities Using Nodal Seismometers in a Heterogeneous Urban Space.

Yunyue Elita Li, Enhedelihai Alex Nilot, Yumin Zhao, Gang Fang

Sensors, February, 2023

A Hierarchical Soft-Sensor Using Spatiotemporal Information Transformation and ARMA With Application in Wastewater Treatment.

Gang Fang, Yiqi Liu, Baoping Cai, Hongtian Chen, Daoping Huang

IEEE Trans. Instrum. Meas., 2023

AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation.

JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

2022

Detect the early-warning signals of diseases based on signaling pathway perturbations on a single sample.

Yanhao Huo, Geng Zhao, Luoshan Ruan, Peng Xu, Gang Fang, Fengyue Zhang, Zhenshen Bao, Xin Li

BMC Bioinform., 2022

A roadmap for the functional annotation of protein families: a community perspective.

Valérie de Crécy-Lagard, Rocio Amorin de Hegedus, Cecilia N. Arighi, Jill Babor, Alex Bateman, Ian Blaby, Crysten Blaby-Haas, Alan J. Bridge, Stephen K. Burley, Stacey Cleveland, Lucy J. Colwell, Ana Conesa, Christian Dallago, Antoine Danchin, Anita de Waard, Adam Deutschbauer, Raquel Dias, Yousong Ding, Gang Fang, Iddo Friedberg, John Gerlt, Joshua Goldford, Mark Gorelik, Benjamin M. Gyori, Christopher S. Henry, Geoffrey Hutinet, Marshall Jaroch, Peter D. Karp, Liudmyla Kondratova, Zhiyong Lu, Aron Marchler-Bauer, Maria Jesus Martin, Claire D. McWhite, Gaurav D. Moghe, Paul Monaghan, Anne Morgat, Christopher J. Mungall, Darren A. Natale, William C. Nelson, Seán I. O'Donoghue, Christine A. Orengo, Katherine H. O'Toole, Predrag Radivojac, Colbie Reed, Richard J. Roberts, Dmitri Rodionov, Irina A. Rodionova, Jeffrey DePons, Lana Saleh, Gloria M. Sheynkman, Françoise Thibaud-Nissen, Paul D. Thomas, Peter Uetz, David Vallenet, Erica Watson Carter, Peter Weigele, Valerie Wood, Elisha M. Wood-Charlson, Jin Xu

Database J. Biol. Databases Curation, 2022

Research on Improved Apriori Algorithm Based on Simplified Boolean Matrix.

Jingpeng Ruan, Gang Fang

Proceedings of the 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering, 2022

2021

Network pharmacology-based research on the action mechanism of Caulis Sinomenii in treating rheumatoid arthritis.

Yuzhi Shang, Chenling Li, Qinghuai Zhang, An Hang, Gang Fang, Yuzhou Pang

Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

Background Characteristics and Design Innovation Performance.

Shan Wang, Gang Fang

Proceedings of the EBEE 2021: 3rd International Conference on E-Business and E-commerce Engineering, Sanya, China, December 17, 2021

2020

A machine learning approach to select features important to stroke prognosis.

Gang Fang, Wenbin Liu, Lixin Wang

Comput. Biol. Chem., 2020

A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path.

Peng Xu, Qian Wu, Deyang Lu, Jian Yu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han

BMC Bioinform., 2020

Classification of Cancers Based on a Comprehensive Pathway Activity Inferred by Genes and Their Interactions.

Peng Xu, Geng Zhao, Zheng Kou, Gang Fang, Wenbin Liu

IEEE Access, 2020

Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking.

Peng Xu, Qian Wu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han

IEEE Access, 2020

Automated Ischemic Stroke Subtyping Based on Machine Learning Approach.

Gang Fang, Peng Xu, Wenbin Liu

IEEE Access, 2020

The Transformation Path of Sports Brands in the Context of Consumption Upgrading.

Shan Wang, Gang Fang

Proceedings of the MSIE 2020: 2nd International Conference on Management Science and Industrial Engineering, 2020

Research on Smart Home Based on MQTT.

Cui-Ping Pu, Gang Fang, Jie Ren, Yaowen Du

Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020

2019

Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

Gang Fang, Izabela E. Annis, Jennifer Elston-Lafata, Samuel Cykert

J. Am. Medical Informatics Assoc., 2019

The relationship between network capabilities and innovation performance.

Gang Fang, Qing Zhou, Jian Wu, Xiaoguang Qi

Ind. Manag. Data Syst., 2019

Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation.

Wenbin Liu, Yugai Du, Gang Fang, Zheng Kou, Xianghong Wang, Henry Han

Comput. Biol. Chem., 2019

2018

A frequent itemset mining algorithm based on composite granular computing.

Hongjuan Wu, Yulu Liu, Pei Yan, Gang Fang, Jing Zhong

J. Comput. Methods Sci. Eng., 2018

A Novel Model for Mining Frequent Patterns Based on Embedded Granular Computing.

Gang Fang, Jiale Wang, Hong Ying

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

MatrixEpistasis: ultrafast, exhaustive epistasis scan for quantitative traits with covariate adjustment.

Shijia Zhu, Gang Fang

Bioinform., 2018

2017

Semantic social media analysis of Chinese tourists in Switzerland.

Zhan Liu, Jialu Shan, Nicole Glassey Balet, Gang Fang

J. Inf. Technol. Tour., 2017

Delay and Capacity in Three-Dimensional Mobile Ad Hoc Networks with Packet Replication.

Wu Wang, Bin Yang, Shikai Shen, Yujian Wang, Gang Fang

Proceedings of the International Conference on Networking and Network Applications, 2017

2016

An Improved Artificial Bee Colony Algorithm for Solving Extremal Optimization of Function Problem.

Yunfei Yi, Gang Fang, Yangqian Su, Jian Miao, Zhi Yin

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

An Efficient Algorithm for Mining Frequent Closed Itemsets.

Gang Fang, Yue Wu, Ming Li, Jia Chen

Informatica (Slovenia), 2015

SubPatCNV: approximate subspace pattern mining for mapping copy-number variations.

Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang

BMC Bioinform., 2015

2014

A General Framework Based on Composite Granules for Mining Association Rules.

Gang Fang, Yue Wu

Int. J. Artif. Intell. Tools, 2014

Detecting epigenetic motifs in low coverage and metagenomics settings.

Noam D. Beckmann, Sashank Karri, Gang Fang, Ali Bashir

BMC Bioinform., 2014

2013

Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic.

Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric E. Schadt

PLoS Comput. Biol., 2013

Frequent Spatiotemporal Association Patterns Mining Based on Granular Computing.

Gang Fang, Yue Wu

Informatica (Slovenia), 2013

Comparative network analysis of gene co-expression networks reveals the conserved and species-specific functions of cell-wall related genes between Arabidopsis and Poplar.

Daifeng Wang, Eric Pan, Gang Fang, Sunita Kumari, Fei He, Doreen Ware, Sergei Maslov, Mark Gerstein

Proceedings of the ACM Conference on Bioinformatics, 2013

2012

Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.

Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar

IEEE Trans. Knowl. Data Eng., 2012

Evaluation of Performance of Several Color-Difference Formulae Using a New NCSU Black Experimental Dataset.

Renzo Shamey, Juan Lin, Weethima Sawatwarakul, Gang Fang

Proceedings of the 20th Color and Imaging Conference, 2012

A Filling Algorithm of Mining Constraint Frequent Neighboring Class Set.

Ling Hu, Yao Li, Jiang Xiong, Gang Fang

Proceedings of the Information Computing and Applications - Third International Conference, 2012

Invited: Discovering combinatorial biomarkers.

Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar

Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Approximate subspace pattern mining for mapping copy-number variations.

Nicholas Johnson, Gang Fang, Rui Kuang

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Characterizing Discriminative Patterns

Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar

CoRR, 2011

An Algorithm of Constraint Frequent Neighboring Class Sets Mining Based on Separating Support Items.

Gang Fang, Jiang Xiong, Hong Ying, Yong-Jian Zhao

Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Using Constraints to Generate and Explore Higher Order Discriminative Patterns.

Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010

Getting Started in Gene Orthology and Functional Analysis.

Gang Fang, Nitin Bhardwaj, Rebecca Robilotto, Mark B. Gerstein

PLoS Comput. Biol., 2010

An Algorithm of Alternately Mining Frequent Neighboring Class Set.

Gang Fang

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.

Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

The application of a top-down algorithm in neighboring class set mining.

Gang Fang, Cheng-Sheng Tu, Jiang Xiong, Zi-Quan Wang

Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

An algorithm of locating order mining based on sequence number.

Gang Fang, Hong Ying, Jiang Xiong, Yong-Jian Zhao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Frequent neighboring class set mining.

Gang Fang, Jiang Xiong, Xiang-Lin Du, Xiao-Bin Tang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Performing DNA computation with RecA-mediated triple-stranded DNA structure.

Gang Fang, Jin Xu, Shemin Zhang

Nat. Comput., 2009

Pseudofam: the pseudogene families database.

Hugo Y. K. Lam, Ekta Khurana, Gang Fang, Philip Cayting, Nicholas Carriero, Kei-Hoi Cheung, Mark B. Gerstein

Nucleic Acids Res., 2009

Association analysis techniques for analyzing complex biological data sets.

Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar

Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

An Algorithm of Double Search Association Rules Mining Based on Digital Complementary Set.

Jiang Xiong, Gang Fang, Yu-Lu Liu

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

An Efficient Algorithm of Mining Association Rules Based on Digital Pure Subset.

Yu-Lu Liu, Gang Fang, Jiang Xiong, Yuan-Bin Wu

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Association Analysis Techniques for Bioinformatics Problems.

Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar

Proceedings of the Bioinformatics and Computational Biology, 2009

2008

Quantitative evaluation of approximate frequent pattern mining algorithms.

Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

An Algorithm of Constrained Spatial Association Rules Based on Binary.

Gang Fang, Zukuan Wei, Qian Yin

Proceedings of the Advances in Neural Networks, 2008

2007

The Algorithm of Objective Association Rules Mining Based on Binary.

Gang Fang, Zukuan Wei, Qian Yin

Proceedings of the Computational Intelligence and Security, International Conference, 2007

Generative Models for Fingerprint Individuality using Ridge Types.

Gang Fang, Sargur N. Srihari, Harish Srinivasan

Proceedings of the Third International Symposium on Information Assurance and Security, 2007

1998

Simulation of Bistable Laser Diodes with lnhomogeneous Excitation.

Gang Fang, Ting-Wei Tang

VLSI Design, 1998