Gang Fang

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 32

Top Topics

Top Venues

Comput. Biol. Chem.

Publications

Haoyu Xiong, Leixin Yang, Gang Fang, Junwei Li, Yu Xiang, Yaping Zhang
Robustness test-time augmentation via learnable aggregation and anomaly detection. J. Intell. Fuzzy Syst. 46 (4) (2024)
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
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. Biomed. Signal Process. Control. 96 (2024)
Gang Fang, Yiqi Liu
Twinning quality sensors in wastewater treatment process via optimized echo state network-based soft sensors. Appl. Soft Comput. 164 (2024)
Weixing Hua, Yan Chen, Xiang Zhao, Jiping Yang, Han Chen, Zhaojie Wu, Gang Fang
Research on a Corrosion Detection Method for Oil Tank Bottoms Based on Acoustic Emission Technology. Sensors 24 (10) (2024)
Haoyu Xiong, Xinchun Zhang, Leixin Yang, Yu Xiang, Gang Fang
STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios. LREC/COLING (2024)
Yue Liu, Xiangzhen Zan, Xianbin Li, Wenbin Liu, Gang Fang
Contrastive visual clustering for improving instance-level contrastive learning as a plugin. Pattern Recognit. 154 (2024)
Zhangjun Wu, Gang Fang, Yifei Wang, Renli Xu
An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis. Appl. Soft Comput. 158 (2024)
Yunyue Elita Li, Enhedelihai Alex Nilot, Yumin Zhao, Gang Fang
Quantifying Urban Activities Using Nodal Seismometers in a Heterogeneous Urban Space. Sensors 23 (3) (2023)
JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang
AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation. FLARE@MICCAI (2023)
Gang Fang, Uzma Ahmad, Sobia Ikhlaq, Leila Asgharsharghi
Multi-Attribute Group Decision Making Based on Spherical Fuzzy Zagreb Energy. Symmetry 15 (8) (2023)
Gang Fang, Yiqi Liu, Baoping Cai, Hongtian Chen, Daoping Huang
A Hierarchical Soft-Sensor Using Spatiotemporal Information Transformation and ARMA With Application in Wastewater Treatment. IEEE Trans. Instrum. Meas. 72 (2023)
Valérie de Crécy-Lagard, Rocio Amorin de Hegedus, Cecilia N. Arighi, Jill Babor, Alex Bateman, Ian Blaby, Crysten Blaby-Haas, Alan 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 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
A roadmap for the functional annotation of protein families: a community perspective. Database J. Biol. Databases Curation 2022 (2022) (2022)
Yanhao Huo, Geng Zhao, Luoshan Ruan, Peng Xu, Gang Fang, Fengyue Zhang, Zhenshen Bao, Xin Li
Detect the early-warning signals of diseases based on signaling pathway perturbations on a single sample. BMC Bioinform. (12) (2022)
Jingpeng Ruan, Gang Fang
Research on Improved Apriori Algorithm Based on Simplified Boolean Matrix. ICBASE (2022)
Yuzhi Shang, Chenling Li, Qinghuai Zhang, An Hang, Gang Fang, Yuzhou Pang
Network pharmacology-based research on the action mechanism of Caulis Sinomenii in treating rheumatoid arthritis. ISAIMS (2021)
Shan Wang, Gang Fang
Background Characteristics and Design Innovation Performance. EBEE (2021)
Shan Wang, Gang Fang
The Transformation Path of Sports Brands in the Context of Consumption Upgrading. MSIE (2020)
Gang Fang, Peng Xu, Wenbin Liu
Automated Ischemic Stroke Subtyping Based on Machine Learning Approach. IEEE Access 8 (2020)
Peng Xu, Qian Wu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han
Predicting the Influence of MicroRNAs on Drug Therapeutic Effects by Random Walking. IEEE Access 8 (2020)
Cui-Ping Pu, Gang Fang, Jie Ren, Yaowen Du
Research on Smart Home Based on MQTT. ICITEE (2020)
Peng Xu, Qian Wu, Deyang Lu, Jian Yu, Yongsheng Rao, Zheng Kou, Gang Fang, Wenbin Liu, Henry Han
A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path. BMC Bioinform. 21 (1) (2020)
Peng Xu, Geng Zhao, Zheng Kou, Gang Fang, Wenbin Liu
Classification of Cancers Based on a Comprehensive Pathway Activity Inferred by Genes and Their Interactions. IEEE Access 8 (2020)
Gang Fang, Wenbin Liu, Lixin Wang
A machine learning approach to select features important to stroke prognosis. Comput. Biol. Chem. 88 (2020)
Gang Fang, Qing Zhou, Jian Wu, Xiaoguang Qi
The relationship between network capabilities and innovation performance. Ind. Manag. Data Syst. 119 (8) (2019)
Wenbin Liu, Yugai Du, Gang Fang, Zheng Kou, Xianghong Wang, Henry Han
Efficient Gaussian sample specific network marker discovery and drug enrichment analysis validation. Comput. Biol. Chem. 83 (2019)
Gang Fang, Izabela E. Annis, Jennifer Elston-Lafata, Samuel Cykert
Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort. J. Am. Medical Informatics Assoc. 26 (10) (2019)
Hongjuan Wu, Yulu Liu, Pei Yan, Gang Fang, Jing Zhong
A frequent itemset mining algorithm based on composite granular computing. J. Comput. Methods Sci. Eng. 18 (1) (2018)
Gang Fang, Jiale Wang, Hong Ying
A Novel Model for Mining Frequent Patterns Based on Embedded Granular Computing. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26 (5) (2018)
Shijia Zhu, Gang Fang
MatrixEpistasis: ultrafast, exhaustive epistasis scan for quantitative traits with covariate adjustment. Bioinform. 34 (14) (2018)
Wu Wang, Bin Yang, Shikai Shen, Yujian Wang, Gang Fang
Delay and Capacity in Three-Dimensional Mobile Ad Hoc Networks with Packet Replication. NaNA (2017)
Zhan Liu, Jialu Shan, Nicole Glassey Balet, Gang Fang
Semantic social media analysis of Chinese tourists in Switzerland. J. Inf. Technol. Tour. 17 (2) (2017)
Yunfei Yi, Gang Fang, Yangqian Su, Jian Miao, Zhi Yin
An Improved Artificial Bee Colony Algorithm for Solving Extremal Optimization of Function Problem. ICIC (1) (2016)
Gang Fang, Yue Wu, Ming Li, Jia Chen
An Efficient Algorithm for Mining Frequent Closed Itemsets. Informatica (Slovenia) 39 (1) (2015)
Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang
SubPatCNV: approximate subspace pattern mining for mapping copy-number variations. BMC Bioinform. 16 (2015)
Gang Fang, Yue Wu
A General Framework Based on Composite Granules for Mining Association Rules. Int. J. Artif. Intell. Tools 23 (5) (2014)
Noam D. Beckmann, Sashank Karri, Gang Fang, Ali Bashir
Detecting epigenetic motifs in low coverage and metagenomics settings. BMC Bioinform. 15 (S-9) (2014)
Daifeng Wang, Eric Pan, Gang Fang, Sunita Kumari, Fei He, Doreen Ware, Sergei Maslov, Mark Gerstein
Comparative network analysis of gene co-expression networks reveals the conserved and species-specific functions of cell-wall related genes between Arabidopsis and Poplar. BCB (2013)
Gang Fang, Yue Wu
Frequent Spatiotemporal Association Patterns Mining Based on Granular Computing. Informatica (Slovenia) 37 (4) (2013)
Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric Schadt
Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic. PLoS Comput. Biol. 9 (3) (2013)
Renzo Shamey, Juan Lin, Weethima Sawatwarakul, Gang Fang
Evaluation of Performance of Several Color-Difference Formulae Using a New NCSU Black Experimental Dataset. Color Imaging Conference (2012)
Ling Hu, Yao Li, Jiang Xiong, Gang Fang
A Filling Algorithm of Mining Constraint Frequent Neighboring Class Set. ICICA (1) (2012)
Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar
Invited: Discovering combinatorial biomarkers. ICCABS (2012)
Nicholas Johnson, Gang Fang, Rui Kuang
Approximate subspace pattern mining for mapping copy-number variations. BCB (2012)
Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar
Characterizing Discriminative Patterns CoRR (2011)
Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) (2011)
Gang Fang, Jiang Xiong, Hong Ying, Yong-Jian Zhao
An Algorithm of Constraint Frequent Neighboring Class Sets Mining Based on Separating Support Items. ICSI (2) (2011)
Gang Fang, Cheng-Sheng Tu, Jiang Xiong, Zi-Quan Wang
The application of a top-down algorithm in neighboring class set mining. ISKE (2010)
Gang Fang, Hong Ying, Jiang Xiong, Yong-Jian Zhao
An algorithm of locating order mining based on sequence number. ICMLC (2010)
Gang Fang, Nitin Bhardwaj, Rebecca Robilotto, Mark B. Gerstein
Getting Started in Gene Orthology and Functional Analysis. PLoS Comput. Biol. 6 (3) (2010)
Gang Fang
An Algorithm of Alternately Mining Frequent Neighboring Class Set. ICSI (2) (2010)
Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing (2010)
Gang Fang, Jiang Xiong, Xiang-Lin Du, Xiao-Bin Tang
Frequent neighboring class set mining. FSKD (2010)
Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
Association analysis techniques for analyzing complex biological data sets. GENSiPS (2009)
Yu-Lu Liu, Gang Fang, Jiang Xiong, Yuan-Bin Wu
An Efficient Algorithm of Mining Association Rules Based on Digital Pure Subset. FSKD (2) (2009)
Hugo Y. K. Lam, Ekta Khurana, Gang Fang, Philip Cayting, Nicholas Carriero, Kei-Hoi Cheung, Mark B. Gerstein
Pseudofam: the pseudogene families database. Nucleic Acids Res. 37 (Database-Issue) (2009)
Gang Fang, Jin Xu, Shemin Zhang
Performing DNA computation with RecA-mediated triple-stranded DNA structure. Nat. Comput. 8 (1) (2009)
Jiang Xiong, Gang Fang, Yu-Lu Liu
An Algorithm of Double Search Association Rules Mining Based on Digital Complementary Set. FSKD (2) (2009)
Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
Association Analysis Techniques for Bioinformatics Problems. BICoB (2009)
Gang Fang, Zukuan Wei, Qian Yin
An Algorithm of Constrained Spatial Association Rules Based on Binary. ISNN (2) (2008)
Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar
Quantitative evaluation of approximate frequent pattern mining algorithms. KDD (2008)
Gang Fang, Zukuan Wei, Qian Yin
The Algorithm of Objective Association Rules Mining Based on Binary. CIS (2007)
Gang Fang, Sargur N. Srihari, Harish Srinivasan
Generative Models for Fingerprint Individuality using Ridge Types. IAS (2007)
Gang Fang, Ting-Wei Tang
Simulation of Bistable Laser Diodes with lnhomogeneous Excitation. VLSI Design 1998 (1) (1998)