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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2024
[j60]Bo Chen, Min Fang, GuiZhi Wang:
Discriminative shapelet learning via temporal clustering and matrix factorization. Appl. Intell. 54(19): 9345-9362 (2024)- [j59]Min Fang, Zhao Zhang, Cheqing Jin, Aoying Zhou:
An SGX-based execution framework for smart contracts upon permissioned blockchain. Distributed Parallel Databases 42(2): 143-178 (2024) - [j58]Haixiang Li
, Min Fang, Xiao Li, Bo Chen:
An adaptive class prototype generation framework for partial label learning. Eng. Appl. Artif. Intell. 133: 108178 (2024) - [j57]Xiao Li, Min Fang, Haikun Li, Bo Chen:
Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space. Expert Syst. Appl. 245: 123062 (2024) - [j56]Bo Chen, Min Fang, Xiao Li:
Denoising matrix factorization for high-dimensional time series forecasting. Neural Comput. Appl. 36(2): 993-1005 (2024) - [j55]Haikun Li, Min Fang, Hang Li, Peng Wang:
Prototype selection for multi-label data based on label correlation. Neural Comput. Appl. 36(5): 2121-2130 (2024) - [j54]Xiao Li, Min Fang, Zhibo Zhai:
Joint Feature Generation and Open-set Prototype Learning for generalized zero-shot open-set classification. Pattern Recognit. 147: 110133 (2024) - 2023
- [j53]Min Fang, Yingru Chen, Rui Xue, Huihui Wang, Nilesh Chakraborty, Ting Su, Yuyan Dai:
A hybrid machine learning approach for hypertension risk prediction. Neural Comput. Appl. 35(20): 14487-14497 (2023) - [j52]Haikun Li, Min Fang, Peng Wang:
Dual dimensionality reduction on instance-level and feature-level for multi-label data. Neural Comput. Appl. 35(35): 24773-24782 (2023) - [c27]Zhihua Du, Xing Zhong, Min Fang, Jianqiang Li:
GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data. ICIC (3) 2023: 532-543 - [c26]Zhihua Du, Xin Xia, Min Fang, Li Yu, Jianqiang Li:
A Deep Transfer Fusion Model for Recognition of Acute Lymphoblastic Leukemia with Few Samples. ICIC (2) 2023: 710-721 - 2022
- [j51]Haikun Li, Min Fang, Lingchi Ge, Peng Wang:
Partial Label Dimensional Reduction via Semantic Difference Information and Manifold Regularization. Int. J. Artif. Intell. Tools 31(2): 2250025:1-2250025:13 (2022) - [j50]Min Fang, Lu Liu, Yuxin Ye, Beibei Zhu, Jiayu Han, Tao Peng:
Knowledge-aware hierarchical attention network for recommendation. J. Intell. Fuzzy Syst. 43(6): 7545-7557 (2022) - [j49]Xiao Li, Min Fang, Bo Chen:
An active unseen sample selection framework for generalized zero-shot classification. Int. J. Mach. Learn. Cybern. 13(8): 2119-2134 (2022) - [j48]Xiao Li, Min Fang, Bo Chen:
Generalized zero-shot domain adaptation with target unseen class prototype learning. Neural Comput. Appl. 34(20): 17793-17807 (2022) - [j47]Gensheng Hu, Min Fang:
Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases. Sustain. Comput. Informatics Syst. 35: 100696 (2022) - [j46]Min Fang, Yufeng He, Zhihua Du, Vladimir N. Uversky:
DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3154-3159 (2022) - [c25]Min Fang, Xinna Zhou, Zhao Zhang, Cheqing Jin, Aoying Zhou:
SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain. ICDE 2022: 3166-3169 - [c24]Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke:
ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. SIGIR 2022: 1240-1250 - [i1]Zahra Shamsi, Drew Bryant, Jacob Wilson, Xiaoyu Qu, Avinava Dubey, Konik Kothari, Mostafa Dehghani, Mariya Chavarha, Valerii Likhosherstov, Brian Williams, Michael Frumkin, Fred Appelbaum, Krzysztof Choromanski, Ali Bashir, Min Fang:
Automated Deep Aberration Detection from Chromosome Karyotype Images. CoRR abs/2211.14312 (2022) - 2021
- [j45]Jun Yang, Yijian Chen, Mengnan Jian, Jianwu Dou, Min Fang:
Capacity Improvement in Reconfigurable Intelligent Surface Assisted MIMO Communications. IEEE Access 9: 137460-137469 (2021) - [j44]Hongqin Zhang, Min Fang:
Research on the integration of heterogeneous information resources in university management informatization based on data mining algorithms. Comput. Intell. 37(3): 1254-1267 (2021) - [j43]Liguo Weng, Yanghui Zhang, Yong Yang, Min Fang, Zelong Yu:
A mobility compensation method for drones in SG-eIoT. Digit. Commun. Networks 7(2): 196-200 (2021) - [j42]Min Fang, Shenggang Yang, Yuliang Lei:
Residual contagion in emerging markets: 'herd' and 'alarm' effects in informatization. Electron. Commer. Res. 21(3): 787-807 (2021) - [j41]Xiao Li, Min Fang, Haikun Li:
Bias alleviating generative adversarial network for generalized zero-shot classification. Image Vis. Comput. 105: 104077 (2021) - [j40]Xiao Li, Min Fang, Jichuan Liu:
Low-rank embedded orthogonal subspace learning for zero-shot classification. J. Vis. Commun. Image Represent. 74: 102981 (2021) - [j39]Xiao Li, Min Fang, Bo Chen:
Generalized zero-shot classification via iteratively generating and selecting unseen samples. Signal Process. Image Commun. 92: 116115 (2021) - [c23]Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke:
Understanding Multi-channel Customer Behavior in Retail. CIKM 2021: 2867-2871 - [c22]Min Fang, Zhao Zhang, Cheqing Jin, Aoying Zhou:
High-Performance Smart Contracts Concurrent Execution for Permissioned Blockchain Using SGX. ICDE 2021: 1907-1912 - [c21]Changping Ji, Min Fang, Jie Chen, Muhammad Umair Raza, Jianqiang Li:
Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate. ICIC (3) 2021: 121-131 - 2020
- [j38]Jinqiao Wu, Min Fang, Haikun Li, Xiao Li:
RSU-Assisted Traffic-Aware Routing Based on Reinforcement Learning for Urban Vanets. IEEE Access 8: 5733-5748 (2020) - [j37]Xiao Li, Min Fang, Haikun Li, Jinqiao Wu:
Learning domain invariant unseen features for generalized zero-shot classification. Knowl. Based Syst. 206: 106378 (2020) - [j36]Jian-qiang Li, Yi-Fan Zhang, Zhuangzhuang Chen, Jia Wang, Min Fang, Cheng-wen Luo, Huihui Wang:
A novel edge-enabled SLAM solution using projected depth image information. Neural Comput. Appl. 32(19): 15369-15381 (2020) - [j35]Xiao Li, Min Fang, Haikun Li, Jinqiao Wu:
Zero shot learning based on class visual prototypes and semantic consistency. Pattern Recognit. Lett. 135: 368-374 (2020) - [j34]Xiao Li, Min Fang, Haikun Li, Jinqiao Wu:
Learning discriminative and meaningful samples for generalized zero shot classification. Signal Process. Image Commun. 87: 115920 (2020) - [j33]Jianqiang Li, Xiaofeng Shi, Zhu-Hong You, Hai-Cheng Yi, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang:
Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1546-1554 (2020)
2010 – 2019
- 2019
- [j32]Jianqiang Li, Zhuangzhuang Chen, Luxiang Huang, Min Fang, Bing Li, Xianghua Fu, Huihui Wang, Qingguo Zhao:
Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network. IEEE Internet Things J. 6(2): 1394-1401 (2019) - [j31]Huimin Chai, Min Fang, Shaonan Lv:
基于态势评估技术的移动机器人局部路径规划 (Local Path Planning of Mobile Robot Based on Situation Assessment Technology). 计算机科学 46(4): 210-215 (2019) - [j30]Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu:
Zero shot learning by partial transfer from source domain with L2, 1 norm constraint. J. Vis. Commun. Image Represent. 58: 701-711 (2019) - [j29]Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu:
Prototype adjustment for zero shot classification. Signal Process. Image Commun. 74: 242-252 (2019) - [c20]Huimin Chai, Shaonan Lv, Min Fang:
Obstacle Avoidance by DSmT for Mobile Robot in Unknown Environment. CACRE 2019: 71:1-71:6 - [c19]Jie Chen, Zhuangzhuang Chen, Min Fang, Jianqiang Li, Zhong Ming, Shulan Wang:
A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System. ICARM 2019: 622-627 - 2018
- [j28]Xianghua Fu, Jingying Yang, Jianqiang Li, Min Fang, Huihui Wang:
Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis. IEEE Access 6: 71884-71891 (2018) - [j27]Xiao Li, Min Fang, Dazheng Feng, Haikun Li, Jinqiao Wu:
Learning unseen visual prototypes for zero-shot classification. Knowl. Based Syst. 160: 176-187 (2018) - [j26]Ziyang Cheng, Zishu He, Bin Liao, Min Fang:
MIMO Radar Waveform Design With PAPR and Similarity Constraints. IEEE Trans. Signal Process. 66(4): 968-981 (2018) - [j25]Jinqiao Wu, Min Fang, Xiao Li:
Reinforcement Learning Based Mobility Adaptive Routing for Vehicular Ad-Hoc Networks. Wirel. Pers. Commun. 101(4): 2143-2171 (2018) - [c18]Ziyang Cheng, Zishu He, Min Fang, Jun Li, Julan Xie:
Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints. ICASSP 2018: 3286-3290 - [c17]Jianqiang Li, Xiaofeng Shi, Zhuhong You, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang:
Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information. ICIC (1) 2018: 527-532 - 2017
- [j24]Jujie Zhang, Min Fang, Xiao Li:
Clustered intrinsic label correlations for multi-label classification. Expert Syst. Appl. 81: 134-146 (2017) - [j23]Xiao Li, Min Fang, Jinqiao Wu:
Zero-shot classification by transferring knowledge and preserving data structure. Neurocomputing 238: 76-83 (2017) - [j22]Xiao Li, Min Fang, Jinqiao Wu, Liang He, Xian Tian:
Image classification by semisupervised sparse coding with confident unlabeled samples. J. Electronic Imaging 26(5): 53013 (2017) - [j21]Xiao Li, Min Fang, Jujie Zhang, Jinqiao Wu:
Learning Coupled Classifiers with RGB images for RGB-D object recognition. Pattern Recognit. 61: 433-446 (2017) - [j20]Xiao Li, Min Fang, Jujie Zhang, Jinqiao Wu:
Domain adaptation from RGB-D to RGB images. Signal Process. 131: 27-35 (2017) - [c16]Min Fang, Hans Tompits:
An Approach for Representing Answer Sets in Natural Language. DECLARE 2017: 115-131 - 2016
- [j19]Jujie Zhang, Min Fang, Jin-Qiao Wu, Xiao Li:
Robust label compression for multi-label classification. Knowl. Based Syst. 107: 32-42 (2016) - [j18]Wen-Jiao Zhu, Ke-Jun Xu, Min Fang, Wei Wang, Zi-Wen Shen:
Mathematical Modeling of Ultrasonic Gas Flow Meter Based on Experimental Data in Three Steps. IEEE Trans. Instrum. Meas. 65(8): 1726-1738 (2016) - 2015
- [j17]Jujie Zhang, Min Fang, Hongchun Wang, Xiao Li:
Dependence maximization based label space dimension reduction for multi-label classification. Eng. Appl. Artif. Intell. 45: 453-463 (2015) - [j16]Jujie Zhang, Min Fang, Xiao Li:
Multi-label learning with discriminative features for each label. Neurocomputing 154: 305-316 (2015) - [j15]Xiao Li, Min Fang, Jujie Zhang:
Projected Transfer Sparse Coding for cross domain image representation. J. Vis. Commun. Image Represent. 33: 265-272 (2015) - [j14]Min Fang, Yong Guo, Xiaosong Zhang, Xiao Li:
Multi-source transfer learning based on label shared subspace. Pattern Recognit. Lett. 51: 101-106 (2015) - [j13]Xiao Li, Min Fang, Hongchun Wang, Jujie Zhang:
Supervised transfer kernel sparse coding for image classification. Pattern Recognit. Lett. 68: 27-33 (2015) - [j12]Chun-Li Shao, Ke-Jun Xu, Min Fang:
Feature Patterns Extraction-Based Amplitude/Frequency Modulation Model for Vortex Flow Sensor Output Signal. IEEE Trans. Instrum. Meas. 64(11): 3031-3044 (2015) - 2014
- [j11]Min Fang, Frans C. A. Groen, Hao Li, Jujie Zhang:
Collaborative multi-agent reinforcement learning based on a novel coordination tree frame with dynamic partition. Eng. Appl. Artif. Intell. 27: 191-198 (2014) - [j10]Chun-Li Shao, Ke-Jun Xu, Min Fang:
Frequency-Variance Based Antistrong Vibration Interference Method for Vortex Flow Sensor. IEEE Trans. Instrum. Meas. 63(6): 1566-1582 (2014) - [j9]Qi-Li Hou, Ke-Jun Xu, Min Fang, Yan Shi, Bo-Bo Tao, Rong-Wei Jiang:
Gas-Liquid Two-Phase Flow Correction Method for Digital CMF. IEEE Trans. Instrum. Meas. 63(10): 2396-2404 (2014) - [c15]Jujie Zhang, Min Fang, Xiao Li:
Multi-Label Learning Based on Label Entropy Guided Clustering. CIT 2014: 756-760 - [c14]Xiaolong Guan, Peng Zhang, Min Fang, Ying Hu, Jianwei Zhang:
The adaptive control for the Outdoor Mobile Robot with diameter-variable wheels. ICIA 2014: 1096-1101 - [c13]Bing Li, Haiyang Jin, Min Fang, Ying Hu, Peng Zhang:
Spinal physiological motion simulator and compensation method for a robotic spinal surgical system. ROBIO 2014: 229-234 - 2013
- [j8]Min Fang, WenKe Niu, Xiaosong Zhang:
An improved multiple-attractor cellular automata classifier with a tree frame based on CART. Comput. Math. Appl. 66(10): 1836-1844 (2013) - 2012
- [c12]Min Fang, Frans C. A. Groen, Hao Li:
Dynamic Partition of Collaborative Multiagent Based on Coordination Trees. IAS (2) 2012: 503-510 - [c11]Min Fang, WenKe Niu, Xiaosong Zhang:
Research on the classifier with the tree frame based on multiple attractor cellular automaton. ICNC 2012: 1079-1083 - [c10]Min Fang, Hao Li, Xiaosong Zhang:
A Heuristic Reinforcement Learning Based on State Backtracking Method. Web Intelligence 2012: 673-678 - 2011
- [j7]Lei Pan, Xubo Yang, Lixu Gu, Wenlong Lu, Min Fang:
Validation and prediction of traditional Chinese physical operation on spinal disease using multiple deformation models. Int. J. Comput. Assist. Radiol. Surg. 6(2): 201-208 (2011) - 2010
- [j6]Ali Al-Shahib, Raju Misra, Nadia Ahmod, Min Fang, Haroun Shah, Saheer Gharbia:
Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics. BMC Bioinform. 11: 437 (2010) - [c9]Min Fang, Xiaosong Zhang:
An instances sampling approach based on cellular automata for ensemble learning. BIC-TA 2010: 560-564
2000 – 2009
- 2009
- [j5]Jingsi Zhang, Lixu Gu, Xiaobo Li, Min Fang:
An advanced hybrid cutting method with an improved state machine for surgical simulation. Comput. Medical Imaging Graph. 33(1): 63-71 (2009) - [c8]Min Fang, Xueyan Yang, Hui Fang, Xiaoli Bai:
The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained. HIS (2) 2009: 112-115 - 2008
- [c7]Min Fang:
A Novel Multiple Classifiers Integration Algorithm with Pruning Function. FSKD (2) 2008: 86-90 - 2007
- [j4]Min Fang, Nan-jing Huang:
Generalized L-KKM type theorems in topological spaces with an application. Comput. Math. Appl. 53(12): 1896-1903 (2007) - [j3]Zhenyue Zhang, Min Fang, Jing Wang:
Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices. SIAM J. Matrix Anal. Appl. 29(2): 530-553 (2007) - [c6]Hailiang Shi, Min Fang:
Multi-focus Color Image Fusion Based on SWT and IHS. FSKD (2) 2007: 461-465 - [c5]Min Fang, Suhong Ko, Hyongsuk Kim, Chun-Shin Lin:
Tracking of Structured Light for Depth Measurement Using CNN-based Dynamic Programming. PDPTA 2007: 1028-1033 - 2006
- [j2]Xian-Fang Li, Min Fang:
Modified method for determining an approximate solution of the Fredholm-Volterra integral equations by Taylor's expansion. Int. J. Comput. Math. 83(8&9): 637-649 (2006) - [c4]Tao Jiang, Jing Ying, Minghui Wu, Min Fang:
An Architecture of Process-centered Context-aware Software Development Environment. CSCWD 2006: 426-430 - [c3]Min Fang, Jing Ying, Minghui Wu:
A Template Engineering Based Framework for Automated Software Development. CSCWD 2006: 437-442 - 2005
- [j1]Zhenyue Zhang, Jing Wang, Min Fang:
Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 26(4): 1115-1131 (2005) - 2004
- [c2]Min Fang, Jing Ying, Minghui Wu:
Effective Elements of Integrated Software Development Process Supported Platform. CSCWD (Selected papers) 2004: 368-377
1990 – 1999
- 1998
- [c1]Min Fang, Narayanan Shivakumar, Hector Garcia-Molina, Rajeev Motwani, Jeffrey D. Ullman:
Computing Iceberg Queries Efficiently. VLDB 1998: 299-310
Coauthor Index
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