Computing Iceberg Queries Efficiently. - Min Fang; Narayanan Shivakumar; Hector Garcia-Molina; Rajeev Motwani 001; Jeffrey D. Ullman (VLDB, 1998)

Effective Elements of Integrated Software Development Process Supported Platform. - Min Fang; Jing Ying; Minghui Wu 001 (CSCWD (Selected papers), 2004)

Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem. - Zhenyue Zhang; Jing Wang; Min Fang (SIAM J. Matrix Anal. Appl., 2005)

A Template Engineering Based Framework for Automated Software Development. - Min Fang; Jing Ying; Minghui Wu 001 (CSCWD, 2006)

An Architecture of Process-centered Context-aware Software Development Environment. - Tao Jiang 034; Jing Ying; Minghui Wu 001; Min Fang (CSCWD, 2006)

Modified method for determining an approximate solution of the Fredholm-Volterra integral equations by Taylor's expansion. - Xian-Fang Li; Min Fang (Int. J. Comput. Math., 2006)

Multi-focus Color Image Fusion Based on SWT and IHS. - Hailiang Shi; Min Fang (FSKD (2), 2007)

Tracking of Structured Light for Depth Measurement Using CNN-based Dynamic Programming. - Min Fang; Suhong Ko; Hyongsuk Kim; Chun-Shin Lin (PDPTA, 2007)

Generalized L-KKM type theorems in topological spaces with an application. - Min Fang; Nan-jing Huang (Comput. Math. Appl., 2007)

Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices. - Zhenyue Zhang; Min Fang; Jing Wang (SIAM J. Matrix Anal. Appl., 2007)

A Novel Multiple Classifiers Integration Algorithm with Pruning Function. - Min Fang (FSKD (2), 2008)

The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained. - Min Fang; Xueyan Yang; Hui Fang; Xiaoli Bai (HIS (2), 2009)

An advanced hybrid cutting method with an improved state machine for surgical simulation. - Jingsi Zhang; Lixu Gu; Xiaobo Li; Min Fang (Comput. Medical Imaging Graph., 2009)

An instances sampling approach based on cellular automata for ensemble learning. - Min Fang; Xiaosong Zhang 005 (BIC-TA, 2010)

Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics. - Ali Al-Shahib; Raju Misra; Nadia Ahmod; Min Fang; Haroun Shah; Saheer Gharbia (BMC Bioinform., 2010)

Validation and prediction of traditional Chinese physical operation on spinal disease using multiple deformation models. - Lei Pan; Xubo Yang; Lixu Gu; Wenlong Lu; Min Fang (Int. J. Comput. Assist. Radiol. Surg., 2011)

Dynamic Partition of Collaborative Multiagent Based on Coordination Trees. - Min Fang; Frans C. A. Groen; Hao Li 009 (IAS (2), 2012)

Research on the classifier with the tree frame based on multiple attractor cellular automaton. - Min Fang; WenKe Niu; Xiaosong Zhang 005 (ICNC, 2012)

A Heuristic Reinforcement Learning Based on State Backtracking Method. - Min Fang; Hao Li 009; Xiaosong Zhang 005 (Web Intelligence, 2012)

An improved multiple-attractor cellular automata classifier with a tree frame based on CART. - Min Fang; WenKe Niu; Xiaosong Zhang 005 (Comput. Math. Appl., 2013)

Multi-Label Learning Based on Label Entropy Guided Clustering. - Jujie Zhang; Min Fang; Xiao Li 008 (CIT, 2014)

The adaptive control for the Outdoor Mobile Robot with diameter-variable wheels. - Xiaolong Guan; Peng Zhang 012; Min Fang; Ying Hu 001; Jianwei Zhang 001 (ICIA, 2014)

Spinal physiological motion simulator and compensation method for a robotic spinal surgical system. - Bing Li 015; Haiyang Jin; Min Fang; Ying Hu 001; Peng Zhang 012 (ROBIO, 2014)

Collaborative multi-agent reinforcement learning based on a novel coordination tree frame with dynamic partition. - Min Fang; Frans C. A. Groen; Hao Li 009; Jujie Zhang (Eng. Appl. Artif. Intell., 2014)

Gas-Liquid Two-Phase Flow Correction Method for Digital CMF. - Qi-Li Hou; Ke-Jun Xu; Min Fang; Yan Shi; Bo-Bo Tao; Rong-Wei Jiang (IEEE Trans. Instrum. Meas., 2014)

Frequency-Variance Based Antistrong Vibration Interference Method for Vortex Flow Sensor. - Chun-Li Shao; Ke-Jun Xu; Min Fang (IEEE Trans. Instrum. Meas., 2014)

Dependence maximization based label space dimension reduction for multi-label classification. - Jujie Zhang; Min Fang; Hongchun Wang; Xiao Li 008 (Eng. Appl. Artif. Intell., 2015)

Multi-label learning with discriminative features for each label. - Jujie Zhang; Min Fang; Xiao Li 008 (Neurocomputing, 2015)

Projected Transfer Sparse Coding for cross domain image representation. - Xiao Li 008; Min Fang; Jujie Zhang (J. Vis. Commun. Image Represent., 2015)

Multi-source transfer learning based on label shared subspace. - Min Fang; Yong Guo; Xiaosong Zhang 005; Xiao Li 008 (Pattern Recognit. Lett., 2015)

Supervised transfer kernel sparse coding for image classification. - Xiao Li 008; Min Fang; Hongchun Wang; Jujie Zhang (Pattern Recognit. Lett., 2015)

Feature Patterns Extraction-Based Amplitude/Frequency Modulation Model for Vortex Flow Sensor Output Signal. - Chun-Li Shao; Ke-Jun Xu; Min Fang (IEEE Trans. Instrum. Meas., 2015)

Robust label compression for multi-label classification. - Jujie Zhang; Min Fang; Jin-Qiao Wu 001; Xiao Li 008 (Knowl. Based Syst., 2016)

Mathematical Modeling of Ultrasonic Gas Flow Meter Based on Experimental Data in Three Steps. - Wen-Jiao Zhu; Ke-Jun Xu; Min Fang; Wei Wang 212; Zi-Wen Shen (IEEE Trans. Instrum. Meas., 2016)

An Approach for Representing Answer Sets in Natural Language. - Min Fang; Hans Tompits (DECLARE, 2017)

Clustered intrinsic label correlations for multi-label classification. - Jujie Zhang; Min Fang; Xiao Li 008 (Expert Syst. Appl., 2017)

Zero-shot classification by transferring knowledge and preserving data structure. - Xiao Li 008; Min Fang; Jinqiao Wu 001 (Neurocomputing, 2017)

Image classification by semisupervised sparse coding with confident unlabeled samples. - Xiao Li 008; Min Fang; Jinqiao Wu 001; Liang He; Xian Tian (J. Electronic Imaging, 2017)

Learning Coupled Classifiers with RGB images for RGB-D object recognition. - Xiao Li 008; Min Fang; Jujie Zhang; Jinqiao Wu 001 (Pattern Recognit., 2017)

Domain adaptation from RGB-D to RGB images. - Xiao Li 008; Min Fang; Jujie Zhang; Jinqiao Wu 001 (Signal Process., 2017)

Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints. - Ziyang Cheng 001; Zishu He; Min Fang; Jun Li 038; Julan Xie (ICASSP, 2018)

Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhuhong You; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (ICIC (1), 2018)

Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis. - Xianghua Fu; Jingying Yang; Jianqiang Li 001; Min Fang; Huihui Wang 001 (IEEE Access, 2018)

Learning unseen visual prototypes for zero-shot classification. - Xiao Li 008; Min Fang; Dazheng Feng; Haikun Li; Jinqiao Wu 001 (Knowl. Based Syst., 2018)

MIMO Radar Waveform Design With PAPR and Similarity Constraints. - Ziyang Cheng 001; Zishu He; Bin Liao 001; Min Fang (IEEE Trans. Signal Process., 2018)

Reinforcement Learning Based Mobility Adaptive Routing for Vehicular Ad-Hoc Networks. - Jinqiao Wu 001; Min Fang; Xiao Li 008 (Wirel. Pers. Commun., 2018)

Obstacle Avoidance by DSmT for Mobile Robot in Unknown Environment. - Huimin Chai; Shaonan Lv; Min Fang (CACRE, 2019)

A GAN-based Active Terrain Mapping for Collaborative Air-Ground Robotic System. - Jie Chen 027; Zhuangzhuang Chen; Min Fang; Jianqiang Li 001; Zhong Ming 001; Shulan Wang (ICARM, 2019)

Automatic Classification of Fetal Heart Rate Based on Convolutional Neural Network. - Jianqiang Li 001; Zhuangzhuang Chen; Luxiang Huang; Min Fang; Bing Li; Xianghua Fu; Huihui Wang 001; Qingguo Zhao (IEEE Internet Things J., 2019)

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). - Huimin Chai; Min Fang; Shaonan Lv (计算机科学, 2019)

Zero shot learning by partial transfer from source domain with L2, 1 norm constraint. - Xiao Li 008; Min Fang; Dazheng Feng; Haikun Li; Jinqiao Wu 001 (J. Vis. Commun. Image Represent., 2019)

Prototype adjustment for zero shot classification. - Xiao Li 008; Min Fang; Dazheng Feng; Haikun Li; Jinqiao Wu 001 (Signal Process. Image Commun., 2019)

RSU-Assisted Traffic-Aware Routing Based on Reinforcement Learning for Urban Vanets. - Jinqiao Wu 001; Min Fang; Haikun Li; Xiao Li 008 (IEEE Access, 2020)

Learning domain invariant unseen features for generalized zero-shot classification. - Xiao Li 008; Min Fang; Haikun Li; Jinqiao Wu 001 (Knowl. Based Syst., 2020)

A novel edge-enabled SLAM solution using projected depth image information. - Jian-qiang Li 001; Yi-Fan Zhang; Zhuangzhuang Chen; Jia Wang 008; Min Fang; Cheng-wen Luo 001; Huihui Wang 001 (Neural Comput. Appl., 2020)

Zero shot learning based on class visual prototypes and semantic consistency. - Xiao Li 008; Min Fang; Haikun Li; Jinqiao Wu 001 (Pattern Recognit. Lett., 2020)

Learning discriminative and meaningful samples for generalized zero shot classification. - Xiao Li 008; Min Fang; Haikun Li; Jinqiao Wu 001 (Signal Process. Image Commun., 2020)

Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information. - Jianqiang Li 001; Xiaofeng Shi; Zhu-Hong You; Hai-Cheng Yi; Zhuangzhuang Chen; Qiuzhen Lin; Min Fang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Understanding Multi-channel Customer Behavior in Retail. - Mozhdeh Ariannezhad; Sami Jullien; Pim Nauts; Min Fang; Sebastian Schelter; Maarten de Rijke (CIKM, 2021)

High-Performance Smart Contracts Concurrent Execution for Permissioned Blockchain Using SGX. - Min Fang; Zhao Zhang 009; Cheqing Jin; Aoying Zhou (ICDE, 2021)

Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate. - Changping Ji; Min Fang; Jie Chen 027; Muhammad Umair Raza; Jianqiang Li 001 (ICIC (3), 2021)

Capacity Improvement in Reconfigurable Intelligent Surface Assisted MIMO Communications. - Jun Yang 058; Yijian Chen; Mengnan Jian; Jianwu Dou; Min Fang (IEEE Access, 2021)

Research on the integration of heterogeneous information resources in university management informatization based on data mining algorithms. - Hongqin Zhang; Min Fang (Comput. Intell., 2021)

A mobility compensation method for drones in SG-eIoT. - Liguo Weng; Yanghui Zhang; Yong Yang; Min Fang; Zelong Yu (Digit. Commun. Networks, 2021)

Residual contagion in emerging markets: 'herd' and 'alarm' effects in informatization. - Min Fang; Shenggang Yang; Yuliang Lei (Electron. Commer. Res., 2021)

Bias alleviating generative adversarial network for generalized zero-shot classification. - Xiao Li 008; Min Fang; Haikun Li (Image Vis. Comput., 2021)

Low-rank embedded orthogonal subspace learning for zero-shot classification. - Xiao Li 008; Min Fang; Jichuan Liu (J. Vis. Commun. Image Represent., 2021)

Generalized zero-shot classification via iteratively generating and selecting unseen samples. - Xiao Li 008; Min Fang; Bo Chen 001 (Signal Process. Image Commun., 2021)

SEFrame: An SGX-enhanced Smart Contract Execution Framework for Permissioned Blockchain. - Min Fang; Xinna Zhou; Zhao Zhang 009; Cheqing Jin; Aoying Zhou (ICDE, 2022)

ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. - Mozhdeh Ariannezhad; Sami Jullien; Ming Li 068; Min Fang; Sebastian Schelter; Maarten de Rijke (SIGIR, 2022)

Automated Deep Aberration Detection from Chromosome Karyotype Images. - Zahra Shamsi; Drew Bryant; Jacob Wilson; Xiaoyu Qu; Avinava Dubey; Konik Kothari; Mostafa Dehghani 001; Mariya Chavarha; Valerii Likhosherstov; Brian Williams; Michael Frumkin; Fred Appelbaum; et al. (CoRR, 2022)

Partial Label Dimensional Reduction via Semantic Difference Information and Manifold Regularization. - Haikun Li; Min Fang; Lingchi Ge; Peng Wang (Int. J. Artif. Intell. Tools, 2022)

Knowledge-aware hierarchical attention network for recommendation. - Min Fang; Lu Liu 013; Yuxin Ye; Beibei Zhu; Jiayu Han; Tao Peng 003 (J. Intell. Fuzzy Syst., 2022)

An active unseen sample selection framework for generalized zero-shot classification. - Xiao Li 008; Min Fang; Bo Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

Generalized zero-shot domain adaptation with target unseen class prototype learning. - Xiao Li 008; Min Fang; Bo Chen 001 (Neural Comput. Appl., 2022)

Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases. - Gensheng Hu; Min Fang (Sustain. Comput. Informatics Syst., 2022)

DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins. - Min Fang; Yufeng He; Zhihua Du; Vladimir N. Uversky (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Deep Transfer Fusion Model for Recognition of Acute Lymphoblastic Leukemia with Few Samples. - Zhihua Du; Xin Xia; Min Fang; Li Yu; Jianqiang Li 001 (ICIC (2), 2023)

GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data. - Zhihua Du; Xing Zhong; Min Fang; Jianqiang Li 001 (ICIC (3), 2023)

A hybrid machine learning approach for hypertension risk prediction. - Min Fang; Yingru Chen; Rui Xue; Huihui Wang 001; Nilesh Chakraborty; Ting Su; Yuyan Dai (Neural Comput. Appl., 2023)

Dual dimensionality reduction on instance-level and feature-level for multi-label data. - Haikun Li; Min Fang; Peng Wang (Neural Comput. Appl., 2023)

An Empirical Systematic Study of Deep Learning-Based Software Defect Prediction Models in Complex Systems. - Yang Chen; Min Fang; Yang Zhang (CIPAE, 2024)

An adaptive class prototype generation framework for partial label learning. - Haixiang Li; Min Fang; Xiao Li 008; Bo Chen 001 (Eng. Appl. Artif. Intell., 2024)

Selective-generative feature representations for generalized zero-shot open-set classification by learning a tightly clustered space. - Xiao Li 008; Min Fang; Haikun Li; Bo Chen 001 (Expert Syst. Appl., 2024)

Denoising matrix factorization for high-dimensional time series forecasting. - Bo Chen 001; Min Fang; Xiao Li 008 (Neural Comput. Appl., 2024)

Prototype selection for multi-label data based on label correlation. - Haikun Li; Min Fang; Hang Li; Peng Wang (Neural Comput. Appl., 2024)

Joint Feature Generation and Open-set Prototype Learning for generalized zero-shot open-set classification. - Xiao Li 008; Min Fang; Zhibo Zhai (Pattern Recognit., 2024)

An SGX-based execution framework for smart contracts upon permissioned blockchain. - Min Fang; Zhao Zhang 009; Cheqing Jin; Aoying Zhou (Distributed Parallel Databases, 2024)

Discriminative shapelet learning via temporal clustering and matrix factorization. - Bo Chen 001; Min Fang; Guizhi Wang (Appl. Intell., 2024)

Anomaly-aware superpixel segmentation for SAR images via deep feature learning. - Haixiang Li; Min Fang; Xiao Li 008; Guizhi Wang; Yinan Wang (Expert Syst. Appl., 2025)

Multi-view attention graph convolutional networks for the host prediction of phages. - Lijia Ma; Peng Gao; Wenxiang Zhou; Qiuzhen Lin; Yuan Bai; Min Fang; Zhihua Du; Jianqiang Li 001 (Knowl. Based Syst., 2025)

Hierarchical multi-granular multi-label contrastive learning. - Haixiang Li; Min Fang; Xiao Li; Bo Chen; Guizhi Wang (Pattern Recognit., 2025)

Prototype-based dual-alignment of multi-source domain adaptation for radar emitter recognition. - Haojie Wei; Min Fang; Haixiang Li; Yinan Wang; Zhanpeng Zheng (Signal Process., 2025)

Generalized Category Discovery With Unknown Sample Generation. - Xiao Li 008; Min Fang; Haixiang Li (IEEE Trans. Image Process., 2025)

SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing. - Ruiguang Pei; Junjie Wu; Dan Peng; Min Fang; Jianan Zhang; Zhihui Fu; Jun Wang (CoRR, 2025)

'Less Knowledge, Better Experience': Examining the Expertise Reversal Effect in Learning With Instructor-Generated Drawings. - Yuan Tian; Zhongjian Liu; Hainuo Liu; Min Fang (J. Comput. Assist. Learn., 2025)

Leveraging subdomain alignment for enhanced anomaly detection in time series. - Bo Chen; Min Fang; Haixiang Li; Guizhi Wang (Appl. Intell., 2025)

Incorporating prior knowledge for domain generalization traffic flow anomaly detection. - Bo Chen; Min Fang; HaoJie Wei (Neural Comput. Appl., 2025)

Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests. - Min Fang; Chengjie Pan; Xiaoyi Yu; Wenjuan Li 002; Ben Wang; Huajian Zhou; Zhenying Xu; Genyuan Yang (BMC Medical Informatics Decis. Mak., 2025)