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ORCIDGang Fang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Gang Fang 0001
![[0000-0003-3561-5876]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3561-5876")
— University of North Carolina, Chapel Hill, NC, USA - Gang Fang 0002 — Guangzhou University, Guangzhou, Guangdong, China
- Gang Fang 0003 — South China University of Technology, Guangzhou, China
- Gang Fang 0004 — Icahn School of Medicine at Mount Sinai, New York, USA
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2020 – today
- 2026
[j26]Yigang Zhang, Gang Fang, Yiqi Liu:
Advancing Dynamic Output Feedback Switched Model Predictive Control for Discrete-Time Markov Jump Systems. IEEE Trans. Syst. Man Cybern. Syst. 56(1): 111-121 (2026)- 2025
- [j25]Weijie Yang, Jingsi Ji, Gang Fang:
A metric and its derived protein network for evaluation of ortholog database inconsistency. BMC Bioinform. 26(1): 6 (2025) - 2024
- [j24]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: 111594 (2024) - [j23]Gang Fang, Yiqi Liu:
Twinning quality sensors in wastewater treatment process via optimized echo state network-based soft sensors. Appl. Soft Comput. 164: 111977 (2024) - [j22]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): 8783-8798 (2024) - [j21]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: 110631 (2024) - [j20]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): 3053 (2024) - [j19]Lei Hao, Lei Chen, Bin Liu, Lanbo Liu, Zhongzhi Li, Yang Zhao, Gang Fang:
Ultra-Short Time Imaging of Urban Underground Structures Using Vehicle Noise Coda Waves. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c24]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: 15226-15237 - [c23]Yinyin Luo, Yue Liu, Wenbin Liu, Jingheng Dai, Xunliang Xiao, Gang Fang:
Crop and Segment: Efficient Whole Body Pan-Cancer Segmentation. FLARE@MICCAI 2024: 1-12 - [c22]Yinyin Luo, Yue Liu, Wenbin Liu, Jingheng Dai, Xunliang Xiao, Gang Fang:
Locate, Crop and Segment: Efficient Abdominal CT Image Segmentation on CPU. FLARE@MICCAI 2024: 65-81 - [c21]Stanley Chum, Gang Fang, Jianqun Cheng:
Architecture and Design Requirements of an IoT-Based Medical Vital System. WF-IoT 2024: 1-6 - 2023
- [j18]Yunyue Elita Li, Enhedelihai Alex Nilot, Yumin Zhao, Gang Fang:
Quantifying Urban Activities Using Nodal Seismometers in a Heterogeneous Urban Space. Sensors 23(3): 1322 (2023) - [j17]Gang Fang, Uzma Ahmad, Sobia Ikhlaq, Leila Asgharsharghi:
Multi-Attribute Group Decision Making Based on Spherical Fuzzy Zagreb Energy. Symmetry 15(8): 1536 (2023) - 2022
- [j16]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:
A roadmap for the functional annotation of protein families: a community perspective. Database J. Biol. Databases Curation 2022(2022) (2022) - [c20]Jingpeng Ruan, Gang Fang:
Research on Improved Apriori Algorithm Based on Simplified Boolean Matrix. ICBASE 2022: 257-262 - 2021
- [c19]Shan Wang, Gang Fang:
Background Characteristics and Design Innovation Performance. EBEE 2021: 279-284 - [c18]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: 289-295 - 2020
- [j15]Gang Fang, Wenbin Liu, Lixin Wang:
A machine learning approach to select features important to stroke prognosis. Comput. Biol. Chem. 88: 107316 (2020) - [c17]Cui-Ping Pu, Gang Fang, Jie Ren, Yaowen Du:
Research on Smart Home Based on MQTT. ICITEE 2020: 531-535 - [c16]Shan Wang, Gang Fang:
The Transformation Path of Sports Brands in the Context of Consumption Upgrading. MSIE 2020: 125-129
2010 – 2019
- 2019
- [j14]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) - [j13]Gang Fang, Qing Zhou, Jian Wu, Xiaoguang Qi:
The relationship between network capabilities and innovation performance. Ind. Manag. Data Syst. 119(8): 1638-1654 (2019) - 2018
- [j12]Shijia Zhu, Gang Fang:
MatrixEpistasis: ultrafast, exhaustive epistasis scan for quantitative traits with covariate adjustment. Bioinform. 34(14): 2341-2348 (2018) - [j11]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): 741-769 (2018) - [j10]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): 247-257 (2018) - 2017
- [j9]Zhan Liu, Jialu Shan, Nicole Glassey Balet, Gang Fang:
Semantic social media analysis of Chinese tourists in Switzerland. J. Inf. Technol. Tour. 17(2): 183-202 (2017) - [c15]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: 164-169 - 2016
- [c14]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: 703-713 - 2015
- [j8]Gang Fang, Yue Wu, Ming Li, Jia Chen:
An Efficient Algorithm for Mining Frequent Closed Itemsets. Informatica (Slovenia) 39(1) (2015) - 2014
- [j7]Noam D. Beckmann, Sashank Karri, Gang Fang, Ali Bashir:
Detecting epigenetic motifs in low coverage and metagenomics settings. BMC Bioinform. 15(S-9): S16 (2014) - [j6]Gang Fang, Yue Wu:
A General Framework Based on Composite Granules for Mining Association Rules. Int. J. Artif. Intell. Tools 23(5) (2014) - 2013
- [j5]Gang Fang, Yue Wu:
Frequent Spatiotemporal Association Patterns Mining Based on Granular Computing. Informatica (Slovenia) 37(4) (2013) - [c13]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: 689 - 2012
- [c12]Ling Hu, Yao Li, Jiang Xiong, Gang Fang:
A Filling Algorithm of Mining Constraint Frequent Neighboring Class Set. ICICA (1) 2012: 175-182 - [c11]Renzo Shamey, Juan Lin, Weethima Sawatwarakul, Gang Fang:
Evaluation of Performance of Several Color-Difference Formulae Using a New NCSU Black Experimental Dataset. CIC 2012: 185-190 - 2011
- [c10]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: 157-163 - 2010
- [j4]Gang Fang, Nitin Bhardwaj, Rebecca Robilotto, Mark B. Gerstein:
Getting Started in Gene Orthology and Functional Analysis. PLoS Comput. Biol. 6(3) (2010) - [c9]Gang Fang, Jiang Xiong, Xiang-Lin Du, Xiao-Bin Tang:
Frequent neighboring class set mining. FSKD 2010: 1442-1445 - [c8]Gang Fang, Hong Ying, Jiang Xiong, Yong-Jian Zhao:
An algorithm of locating order mining based on sequence number. ICMLC 2010: 403-407 - [c7]Gang Fang, Cheng-Sheng Tu, Jiang Xiong, Zi-Quan Wang:
The application of a top-down algorithm in neighboring class set mining. ISKE 2010: 234-237 - [c6]Gang Fang:
An Algorithm of Alternately Mining Frequent Neighboring Class Set. ICSI (2) 2010: 588-593
2000 – 2009
- 2009
- [j3]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): 738-743 (2009) - [j2]Gang Fang, Jin Xu, Shemin Zhang:
Performing DNA computation with RecA-mediated triple-stranded DNA structure. Nat. Comput. 8(1): 149-156 (2009) - [c5]Jiang Xiong, Gang Fang, Yu-Lu Liu:
An Algorithm of Double Search Association Rules Mining Based on Digital Complementary Set. FSKD (2) 2009: 39-42 - [c4]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: 43-46 - 2008
- [c3]Gang Fang, Zukuan Wei, Qian Yin:
An Algorithm of Constrained Spatial Association Rules Based on Binary. ISNN (2) 2008: 21-29 - 2007
- [c2]Gang Fang, Sargur N. Srihari, Harish Srinivasan:
Generative Models for Fingerprint Individuality using Ridge Types. IAS 2007: 423-428 - [c1]Gang Fang, Zukuan Wei, Qian Yin:
The Algorithm of Objective Association Rules Mining Based on Binary. CIS 2007: 214-217
1990 – 1999
- 1998
- [j1]Gang Fang, Ting-Wei Tang:
Simulation of Bistable Laser Diodes with lnhomogeneous Excitation. VLSI Design 8(1-4): 283-287 (1998)
Coauthor Index
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