An IP Traceback Scheme Integrating DPM and PPM. - Fan Min 001; Jun-yan Zhang; Guo-wie Yang (ACNS, 2003)

Integrating New Cost Model into HMA-Based Grid Resource Scheduling. - Jun-yan Zhang; Fan Min 001; Guowei Yang (GCC (2), 2003)

A Divide-and-Conquer Discretization Algorithm. - Fan Min 001; Lijun Xie; Qihe Liu; Hongbin Cai (FSKD (1), 2005)

A New Adaptive Crossover Operator for the Preservation of Useful Schemata. - Fan Li; Qihe Liu; Fan Min 001; Guowei Yang (ICMLC, 2005)

Knowledge Reduction in Inconsistent Decision Tables. - Qihe Liu; Leiting Chen; Jianzhong Zhang; Fan Min 001 (ADMA, 2006)

Weighted Reduction for Decision Tables. - Changzhi Xu; Fan Min 001 (FSKD, 2006)

Reduction Based Symbolic Value Partition. - Fan Min 001; Qihe Liu; Chunlan Fang; Jianzhong Zhang (ICHIT, 2006)

The M-Relative Reduct Problem. - Fan Min 001; Qihe Liu; Hao Tan; Leiting Chen (RSKT, 2006)

Minimal Attribute Space Bias for Attribute Reduction. - Fan Min 001; Xianghui Du; Hang Qiu 002; Qihe Liu (RSKT, 2007)

Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm. - Fan Li; Fan Min 001; Qihe Liu (RSKT, 2008)

Rough sets approach to symbolic value partition. - Fan Min 001; Qihe Liu; Chunlan Fang (Int. J. Approx. Reason., 2008)

Research on Rough Set Theory and Applications in China. - Guoyin Wang 001; Qinghua Zhang 001; Houkuan Huang; Dongyi Ye; Qinghua Hu; Xuegang Hu; Zhongzhi Shi; Yongli Li; Lin Shang 001; Liping An; Ying Sai; Shanben Chen; et al. (Trans. Rough Sets, 2008)

OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification. - Song Wang; Fan Min 001; Zhihai Wang; Tianyu Cao 001 (ADMA, 2009)

Local Semi-linear Regression for River Runoff Forecasting. - Fan Min 001; Xindong Wu 001 (CSE (4), 2009)

Pattern Matching with Independent Wildcard Gaps. - Fan Min 001; Xindong Wu 001; Zhenyu Lu (DASC, 2009)

A Comparative Study of Pattern Matching Algorithms on Sequences. - Fan Min 001; Xindong Wu 001 (RSFDGrC, 2009)

A hierarchical model for test-cost-sensitive decision systems. - Fan Min 001; Qihe Liu (Inf. Sci., 2009)

A Nettree for Approximate Maximal Pattern Matching with Gaps and One-Off Constraint. - Youxi Wu; Xindong Wu 001; He Jiang 001; Fan Min 001 (ICTAI (2), 2010)

A Nettree for pattern Matching with flexible wildcard Constraints. - Youxi Wu; Xindong Wu 001; Fan Min 001; Yan Li 087 (IRI, 2010)

Minimal Cost Attribute Reduction through Backtracking. - Fan Min 001; William Zhu 001 (FGIT-DTA/BSBT, 2011)

Test Cost Constraint Reduction with Common Cost. - Guiying Pan; Fan Min 001; William Zhu 001 (FGIT, 2011)

Optimal sub-reducts in the dynamic environment. - Fan Min 001; William Zhu 001 (GrC, 2011)

A genetic algorithm to the minimal test cost reduct problem. - Guiying Pan; Fan Min 001; William Zhu 001 (GrC, 2011)

The vectorially matroidal structure of generalized rough sets based on relations. - Shiping Wang; William Zhu 001; Fan Min 001 (GrC, 2011)

Reducible matroid and its relationship with covering-based rough sets. - Shiping Wang; William Zhu 001; Fan Min 001 (GrC, 2011)

Test-cost-sensitive attribute reduction based on neighborhood rough set. - Hong Zhao 002; Fan Min 001; William Zhu 001 (GrC, 2011)

Accumulated Cost Based Test-Cost-Sensitive Attribute Reduction. - Huaping He; Fan Min 001 (RSFDGrC, 2011)

Covering Numbers in Covering-Based Rough Sets. - Shiping Wang; Fan Min 001; William Zhu 001 (RSFDGrC, 2011)

Optimal Sub-Reducts with Test Cost Constraint. - Fan Min 001; William Zhu 001 (RSKT, 2011)

Transversal and Function Matroidal Structures of Covering-Based Rough Sets. - Shiping Wang; William Zhu 001; Fan Min 001 (RSKT, 2011)

Bipartite Graphs and Coverings. - Shiping Wang; William Zhu 001; Fan Min 001 (RSKT, 2011)

Test-cost-sensitive attribute reduction. - Fan Min 001; Huaping He; Yuhua Qian; William Zhu 001 (Inf. Sci., 2011)

Granular Association Rule Mining through Parametric Rough Sets. - Fan Min 001; William Zhu 001 (Brain Informatics, 2012)

An improved genetic algorithm to minimal test cost reduction. - Jiabin Liu; Shujiao Liao; Fan Min 001; William Zhu 001 (GrC, 2012)

Granular association rules with four subtypes. - Fan Min 001; Qinghua Hu; William Zhu 001 (GrC, 2012)

Characteristics of 2-circuit matroids through rough sets. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (GrC, 2012)

Ant colony optimization to minimal test cost reduction. - Zilong Xu; Fan Min 001; Jiabin Liu; William Zhu 001 (GrC, 2012)

Minimal Test Cost Feature Selection with Positive Region Constraint. - Jiabin Liu; Fan Min 001; Shujiao Liao; William Zhu 001 (RSCTC, 2012)

A Competition Strategy to Cost-Sensitive Decision Trees. - Fan Min 001; William Zhu 001 (RSKT, 2012)

Boolean matrix decomposition through covering-based rough sets - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (CoRR, 2012)

Granular association rules on two universes with four measures - Fan Min 001; Qinghua Hu; William Zhu 001 (CoRR, 2012)

Cost-sensitive C4.5 with post-pruning and competition - Zilong Xu; Fan Min 001; William Zhu 001 (CoRR, 2012)

The Apriori property of sequence pattern mining with wildcard gaps. - Fan Min 001; Youxi Wu; Xindong Wu 001 (Int. J. Funct. Informatics Pers. Medicine, 2012)

Attribute reduction of data with error ranges and test costs. - Fan Min 001; William Zhu 001 (Inf. Sci., 2012)

Matroidal structure of rough sets and its characterization to attribute reduction. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Knowl. Based Syst., 2012)

A comparative study of discretization approaches for granular association rule mining. - Xu He; Fan Min 001; William Zhu 001 (CCECE, 2013)

Granular association rules for multi-valued data. - Fan Min 001; William Zhu 001 (CCECE, 2013)

Mining top-k granular association rules for recommendation. - Fan Min 001; William Zhu 001 (IFSA/NAFIPS, 2013)

Cold-start recommendation through granular association rules - Fan Min 001; William Zhu 001 (CoRR, 2013)

Four matroidal structures of covering and their relationships with rough sets. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (Int. J. Approx. Reason., 2013)

Quantitative analysis for covering-based rough sets through the upper approximation number. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Inf. Sci., 2013)

Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (J. Appl. Math., 2013)

Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors. - Hong Zhao 002; Fan Min 001; William Zhu 001 (J. Appl. Math., 2013)

A matroidal approach to rough set theory. - Jianguo Tang; Kun She 001; Fan Min 001; William Zhu 001 (Theor. Comput. Sci., 2013)

Interactive hybrid recommendation with granule selection. - Heng-Ru Zhang; Fan Min 001; Ben-Wen Zhang (GrC, 2014)

Mining Significant Granular Association Rules for Diverse Recommendation. - Fan Min 001; William Zhu 001 (RSCTC, 2014)

Top-N Recommendation Based on Granular Association Rules. - Xu He; Fan Min 001; William Zhu 001 (RSKT, 2014)

Rough Set Characterization for 2-circuit Matroid. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Fundam. Informaticae, 2014)

Feature selection with test cost constraint. - Fan Min 001; Qinghua Hu; William Zhu 001 (Int. J. Approx. Reason., 2014)

Characteristic matrix of covering and its application to Boolean matrix decomposition. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (Inf. Sci., 2014)

Graph and matrix approaches to rough sets through matroids. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Inf. Sci., 2014)

An improved artificial bee colony algorithm for minimal time cost reduction. - Jinling Cai; William Zhu 001; Haijun Ding; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2014)

Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data. - Jiabin Liu; Fan Min 001; Hong Zhao 002; William Zhu 001 (Trans. Rough Sets, 2014)

Parameter learning using ant colony optimization for minimal time cost reduction. - Ji Dong; Huan Yang; Zhi-Heng Zhang; Fan Min 001 (ICMLC, 2015)

Cost-sensitive regression-based recommender system. - Heng-Ru Zhang; Fan Min 001; Dominik Slezak; Bing Shi (ICMLC, 2015)

A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model. - Yu-Wan He; Heng-Ru Zhang; Fan Min 001 (RSKT, 2015)

Methods and Practices of Three-Way Decisions for Complex Problem Solving. - Hong Yu 007; Guoyin Wang 001; Baoqing Hu; Xiuyi Jia; Huaxiong Li; Tianrui Li 001; Decui Liang; Jiye Liang; Baoxiang Liu; Dun Liu; Jianmin Ma; Duoqian Miao 001; et al. (RSKT, 2015)

Representative-based classification through covering-based neighborhood rough sets. - Ben-Wen Zhang; Fan Min 001; Davide Ciucci (Appl. Intell., 2015)

A Granular Computing Approach to Symbolic Value Partitioning. - Liu-Ying Wen; Fan Min 001 (Fundam. Informaticae, 2015)

Hybrid similarities for dynamic interaction recommendation. - Xin-Ling Dong; Shuang-Bo Sun; Fan Min 001; Heng-Ru Zhang (ICMLC, 2016)

Time series based interactive recommendation for petroleum drilling safety check. - Shuang-Bo Sun; Xin-Ling Dong; Lin Zhang; Zhi-Jie Jing; Fan Min 001 (ICMLC, 2016)

Representative-Based Active Learning with Max-Min Distance. - Fu-Lun Liu; Fan Min 001; Liu-Ying Wen; Hong-Jie Wang (IJCRS, 2016)

Discovering Patterns With Weak-Wildcard Gaps. - Chaodong Tan; Fan Min 001; Min Wang 031; Heng-Ru Zhang; Zhi-Heng Zhang (IEEE Access, 2016)

Fast Recommendations With the M-Distance. - Mei Zheng; Fan Min 001; Heng-Ru Zhang; Wen-Bin Chen (IEEE Access, 2016)

Three-way recommender systems based on random forests. - Heng-Ru Zhang; Fan Min 001 (Knowl. Based Syst., 2016)

Multi-objective cost-sensitive attribute reduction on data with error ranges. - Yu Fang; Zhong-Hui Liu; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2016)

A Three-Way Recommender System for Popularity-Based Costs. - Yuanyuan Xu 003; Heng-Ru Zhang; Fan Min 001 (IJCRS (2), 2017)

A two-stage discretization algorithm based on information entropy. - Liu-Ying Wen; Fan Min 001; Shi-Yuan Wang (Appl. Intell., 2017)

Active learning through density clustering. - Min Wang 031; Fan Min 001; Zhi-Heng Zhang; Yan-Xue Wu (Expert Syst. Appl., 2017)

Regression-based three-way recommendation. - Heng-Ru Zhang; Fan Min 001; Bing Shi (Inf. Sci., 2017)

TDUP: an approach to incremental mining of frequent itemsets with three-way-decision pattern updating. - Yao Li; Zhi-Heng Zhang; Wen-Bin Chen; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2017)

A PSO algorithm for multi-objective cost-sensitive attribute reduction on numeric data with error ranges. - Yu Fang; Zhong-Hui Liu; Fan Min 001 (Soft Comput., 2017)

Active learning through two-stage clustering. - Min Wang 031; Ke Fu; Fan Min 001 (FUZZ-IEEE, 2018)

Recommendation with Generalized Logistic Transformation. - Zhuo-Lin Fu; Fan Min 001; Heng-Ru Zhang (ICBK, 2018)

State Transition Pattern with Periodic Wildcard Gaps. - Zhi-Heng Zhang; Wen-jie Zhai; Rong-Ping Shen; Sheng-Chao Zeng; Fan Min 001 (ICBK, 2018)

Magic barrier estimation models for recommended systems under normal distribution. - Heng-Ru Zhang; Fan Min 001; Yan-Xue Wu; Zhuo-Lin Fu; Lei Gao (Appl. Intell., 2018)

A comparison study of similarity measures for covering-based neighborhood classifiers. - Fu-Lun Liu; Ben-Wen Zhang; Davide Ciucci; Wei-Zhi Wu 001; Fan Min 001 (Inf. Sci., 2018)

Ant colony optimization with partial-complete searching for attribute reduction. - Fan Min 001; Zhi-Heng Zhang; Ji Dong (J. Comput. Sci., 2018)

带弱通配符的模式匹配及其在时序分析中的应用 (Pattern Matching with Weak-wildcard in Application of Time Series Analysis). - Chaodong Tan; Fan Min 001; Xiao Wu; Xinlun Li (计算机科学, 2018)

CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding. - Heng-Ru Zhang; Jie Qian; Fan Min 001 (IJCRS, 2019)

An Adaptive Mechanism for Recommendation Algorithm Ensemble. - Qi Huang; Yuanyuan Xu 003; Yong Chen; Heng-Ru Zhang; Fan Min 001 (IEEE Access, 2019)

Active Learning Through Multi-Standard Optimization. - Min Wang 031; Ying-Yi Zhang; Fan Min 001 (IEEE Access, 2019)

Frequent State Transition Patterns of Multivariate Time Series. - Zhi-Heng Zhang; Fan Min 001 (IEEE Access, 2019)

Sentiment based matrix factorization with reliability for recommendation. - Rong-Ping Shen; Heng-Ru Zhang; Hong Yu 007; Fan Min 001 (Expert Syst. Appl., 2019)

Cost-sensitive approximate attribute reduction with three-way decisions. - Yu Fang; Fan Min 001 (Int. J. Approx. Reason., 2019)

Three-way decisions based feature fusion for Chinese irony detection. - Xiuyi Jia; Zhao Deng; Fan Min 001; Dun Liu (Int. J. Approx. Reason., 2019)

Cost-sensitive active learning with a label uniform distribution model. - Yan-Xue Wu; Xue-Yang Min; Fan Min 001; Min Wang 031 (Int. J. Approx. Reason., 2019)

Cost-sensitive active learning through statistical methods. - Min Wang 031; Yao Lin; Fan Min 001; Dun Liu (Inf. Sci., 2019)

Efficient collaborative filtering recommendations with multi-channel feature vectors. - Heng-Ru Zhang; Fan Min 001; Zhi-Heng Zhang; Song Wang (Int. J. Mach. Learn. Cybern., 2019)

Tri-partition cost-sensitive active learning through kNN. - Fan Min 001; Fu-Lun Liu; Liu-Ying Wen; Zhi-Heng Zhang (Soft Comput., 2019)

Ensemble active imputation for incomplete data. - Min Wang 031; Binqian Li; Fan Min 001; Jiaxue Liu; Manlong Wang (ICNSC, 2020)

COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation. - Heng-Ru Zhang; Yu-Ting Huang; Yuanyuan Xu 003; Fan Min 001 (IEEE Access, 2020)

Multi-label symbolic value partitioning through random walks. - Liu-Ying Wen; Chaoguang Luo; Wei-Zhi Wu 001; Fan Min 001 (Neurocomputing, 2020)

Frequent pattern discovery with tri-partition alphabets. - Fan Min 001; Zhi-Heng Zhang; Wen-jie Zhai; Rong-Ping Shen (Inf. Sci., 2020)

Active learning through label error statistical methods. - Min Wang 031; Ke Fu; Fan Min 001; Xiuyi Jia (Knowl. Based Syst., 2020)

Three-way active learning through clustering selection. - Fan Min 001; Shi-Ming Zhang; Davide Ciucci; Min Wang 031 (Int. J. Mach. Learn. Cybern., 2020)

A two-stage density clustering algorithm. - Min Wang 031; Ying-Yi Zhang; Fan Min 001; Li-ping Deng; Lei Gao (Soft Comput., 2020)

Label Distribution Learning by Exploiting Feature-Label Correlations Locally. - Gui-Lin Li; Heng-Ru Zhang; Yuanyuan Xu 003; Ya-Lan Lv; Fan Min 001 (ICBK, 2021)

A Genetic Algorithm for Residual Static Correction. - Miao Wu; Shulin Pan; Fan Min 001 (ICBK, 2021)

DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network. - Fan Min 001; Lin-Rong Wang; Shulin Pan; Guo-Jie Song (IJCRS, 2021)

Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering. - Lei Gao 008; Haokun Jiang; Fan Min 001 (Expert Syst. Appl., 2021)

Automatic first-arrival picking through convolution kernel construction and particle swarm optimization. - Lei Gao 008; Haokun Jiang; Fan Min 001 (Comput. Geosci., 2021)

TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network. - Shuhui Cheng; Youxi Wu; Yan Li 087; Fang Yao; Fan Min 001 (Inf. Sci., 2021)

Noise label learning through label confidence statistical inference. - Min Wang 031; Hong-Tian Yu; Fan Min 001 (Knowl. Based Syst., 2021)

Safe Multi-view Co-training for Semi-supervised Regression. - Li-Yan Liu; Peng Huang; Fan Min 001 (DSAA, 2022)

Semi-supervised Regression with Data Partitioning and Feature Mapping. - Li-Yan Liu; Jia-Hui Zhang; Fan Min 001 (DSAA, 2022)

BRL: Learning behavior representations of Reversi players. - Chao-Fan Pan; Fan Min 001; Heng-Ru Zhang; Yu Wang (DSAA, 2022)

Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. - Bin-Yuan Rong; Heng-Ru Zhang; Gui-Lin Li; Fan Min 001 (DSAA, 2022)

Multi-instance Multi-label Learning Based on Parallel Attention and Local Label Manifold Correlation. - Mei Yang 002; Wen-Tao Tang; Fan Min 001 (DSAA, 2022)

Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction. - Yu Fang; Xuemei Cao 001; Xin Wang 064; Fan Min 001 (PAKDD (2), 2022)

Self-paced Safe Co-training for Regression. - Fan Min 001; Yu Li; Liyan Liu (PAKDD (2), 2022)

Multi-instance Embedding Learning Through High-level Instance Selection. - Mei Yang 002; Wen-Xi Zeng; Fan Min 001 (PAKDD (2), 2022)

Attention-to-Embedding Framework for Multi-instance Learning. - Mei Yang 002; Yu-Xuan Zhang; Mao Ye 001; Fan Min 001 (PAKDD (2), 2022)

3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification. - Yu Fang; Zhao-Chen Li; Xin Yang 012; Fan Min 001 (IJCRS, 2022)

Multi-label Feature Extraction With Distance-Based Graph Attention Network. - Yue Peng; Kun Qian 011; Guojie Song; Fan Min 001 (IJCRS, 2022)

Rare Potential Poor Household Identification With a Focus Embedded Logistic Regression. - Yan-Xue Wu; Zhi-Neng Hu; Yuan-Yuan Wang; Fan Min 001 (IEEE Access, 2022)

Attribute and label distribution driven multi-label active learning. - Min Wang 031; Tingting Feng; Zhaohui Shan; Fan Min 001 (Appl. Intell., 2022)

A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. - Heng-Ru Zhang; Jie Qian; Hui-Lin Qu; Fan Min 001 (Appl. Soft Comput., 2022)

Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series. - Zhi-Heng Zhang; Fan Min 001; Gong-Suo Chen; Shaopeng Shen; Zuo-Cheng Wen; Xiang-bing Zhou (Cogn. Comput., 2022)

A heuristic concept construction approach to collaborative recommendation. - Zhong-Hui Liu; Qi Zhao; Lu Zou; Wei-Hua Xu 003; Fan Min 001 (Int. J. Approx. Reason., 2022)

Multi-embedding space set-kernel and its application to multi-instance learning. - Mei Yang 002; Yu-Xuan Zhang; Zhengchun Zhou; Wen-Xi Zeng; Fan Min 001 (Neurocomputing, 2022)

Global and local attention-based multi-label learning with missing labels. - Yusheng Cheng; Kun Qian 011; Fan Min 001 (Inf. Sci., 2022)

Three-way sampling for rapid attribute reduction. - Yu Fang; Xuemei Cao 001; Xin Wang 064; Fan Min 001 (Inf. Sci., 2022)

A graph based approach for mining significant places in trajectory data. - Shimin Wang; Xinzheng Niu; Philippe Fournier-Viger; Dongmei Zhou; Fan Min 001 (Inf. Sci., 2022)

Multi-label active learning through serial-parallel neural networks. - Xue-Yang Min; Kun Qian 011; Ben-Wen Zhang; Guojie Song; Fan Min 001 (Knowl. Based Syst., 2022)

Incremental sequential three-way decision based on continual learning network. - Hongyuan Li; Hong Yu 007; Fan Min 001; Dun Liu; Huaxiong Li (Int. J. Mach. Learn. Cybern., 2022)

Improving recommendation quality through outlier removal. - Yuanyuan Xu 003; Shen-Ming Gu; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2022)

Multi-Instance Ensemble Learning With Discriminative Bags. - Mei Yang 002; Yu-Xuan Zhang; Xizhao Wang; Fan Min 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A hybrid approach to three-way conversational recommendation. - Yuanyuan Xu 003; Shen-Ming Gu; Hua-Xiong Li; Fan Min 001 (Soft Comput., 2022)

Generative Label Enhancement with Gaussian Mixture and Partial Ranking. - Yunan Lu 002; Liang He; Fan Min 001; Weiwei Li 001; Xiuyi Jia (AAAI, 2023)

Sample Topology Exploration for Label Distribution Learning. - Yan-Wen Xiong; Heng-Ru Zhang; Fan Min 001; Peng-Cheng Li (DSAA, 2023)

A CNN Based Physical Constraint Modifier Model for Reflectivity Inversion. - Yun-Peng Shi; Chang-Zhong Wang; Shulin Pan; Guojie Song; Fan Min 001 (ICMLC, 2023)

SAPD: Self-Attention Progressive Seismic Data Denoising. - Ke Wang 049; Lin-Rong Wang; Shulin Pan; Fan Min 001 (ICMLC, 2023)

Sequential three-way decisions with a single hidden layer feedforward neural network. - Youxi Wu; Shuhui Cheng; Yan Li 087; Rongjie Lv; Fan Min 001 (CoRR, 2023)

Fast convex set projection with deep prior for seismic interpolation. - Fan Min 001; Linrong Wang; Shulin Pan; Guojie Song (Expert Syst. Appl., 2023)

Safe co-training for semi-supervised regression. - Li-Yan Liu; Peng Huang; Hong Yu 007; Fan Min 001 (Intell. Data Anal., 2023)

STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network. - Youxi Wu; Shuhui Cheng; Yan Li 087; Rongjie Lv; Fan Min 001 (Inf. Sci., 2023)

LSTC: When label-specific features meet third-order label correlations. - Xing-Yi Zhang; Fan Min 001; Guojie Song; Hong Yu 007 (Inf. Sci., 2023)

Two-stage label distribution learning with label-independent prediction based on label-specific features. - Gui-Lin Li; Heng-Ru Zhang; Fan Min 001; Yunan Lu 002 (Knowl. Based Syst., 2023)

CAUC: Combining Channel Attention U-Net and Convolution for Seismic Data Resolution Improvement. - Fan Min 001; Jinyu Tang; Shulin Pan; Guojie Song (IEEE Geosci. Remote. Sens. Lett., 2023)

Noisy Supervised Deep Learning for Remote Sensing Image Segmentation Using Electronic Maps. - Qing Zhang; Shulin Pan; Fan Min 001; Yinghe Wu; Zilin Zhang; Haoran Luo (IEEE Geosci. Remote. Sens. Lett., 2023)

D2UNet: Dual Decoder U-Net for Seismic Image Super-Resolution Reconstruction. - Fan Min 001; Linrong Wang; Shulin Pan; Guojie Song (IEEE Trans. Geosci. Remote. Sens., 2023)

Cost-Sensitive Active Learning for Incomplete Data. - Min Wang 031; Chunyu Yang; Fei Zhao; Fan Min 001; Xizhao Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

KGA: integrating KPCA and GAN for microbial data augmentation. - Liu-Ying Wen; Xiao-Min Zhang; Qingfeng Li; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2023)

Weight matrix sharing for multi-label learning. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Fan Min 001 (Pattern Recognit., 2023)

Lower bound estimation of recommendation error through user uncertainty modeling. - Heng-Ru Zhang; Ying Qiu; Ke-Lin Zhu; Fan Min 001 (Pattern Recognit., 2023)

ERCP: speedup path planning through clustering and presearching. - Kun He; Xinzheng Niu; Xue-Yang Min; Fan Min 001 (Appl. Intell., 2023)

Behavior imitation of individual board game players. - Chao-Fan Pan; Xue-Yang Min; Heng-Ru Zhang; Guojie Song; Fan Min 001 (Appl. Intell., 2023)

Cost-sensitive microbial data augmentation through matrix factorization. - Liu-Ying Wen; Xi Wang; Fan Min 001 (Appl. Intell., 2023)

Self-dependence multi-label learning with double k for missing labels. - Kun Qian 011; Xue-Yang Min; Yusheng Cheng; Guojie Song; Fan Min 001 (Artif. Intell. Rev., 2023)

Fine-Grained Visual Categorization: A Spatial-Frequency Feature Fusion Perspective. - Min Wang 031; Peng Zhao; Xin Lu; Fan Min 001; Xizhao Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multi-instance embedding learning with deconfounded instance-level prediction. - Yu-Xuan Zhang; Mei Yang 002; Zhengchun Zhou; Fan Min 001 (Int. J. Data Sci. Anal., 2023)

Long-tailed image recognition through balancing discriminant quality. - Yan-Xue Wu; Fan Min 001; Ben-Wen Zhang; Xian-Jie Wang (Artif. Intell. Rev., 2023)

Seismic image super-resolution reconstruction through deep feature mining network. - Dou Zeng; Qiong Xu; Shulin Pan; Guojie Song; Fan Min 001 (Appl. Intell., 2023)

Label-dependent feature exploration for label distribution learning. - Run-Ting Bai; Heng-Ru Zhang; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2023)

3WOS: Finding the Pillars of Strength in Three-Way Oversampling with Density Clustering for Imbalanced Data Synthesis. - Yu Fang; Tianrui Li 001; Fan Min 001 (IJCRS (3), 2024)

User and Item Sub-contexts Induced Fuzzy Concept Set for Recommendation. - Zhonghui Liu; Pu Tang; Fan Min 001 (IJCRS (2), 2024)

Multisource data fusion for single-well production rate prediction. - Chao Min; Yijia Wang; Fan Min 001; Huohai Yang; Wei Zhao (Expert Syst. Appl., 2024)

Robust federated learning with voting and scaling. - Xiang-Yu Liang; Heng-Ru Zhang; Wei Tang; Fan Min 001 (Future Gener. Comput. Syst., 2024)

SeismicTransformer: An attention-based deep learning method for the simulation of seismic wavefields. - Yanjin Xiang; Zhiliang Wang; Ziang Song; Rong Huang; Guojie Song; Fan Min 001 (Comput. Geosci., 2024)

ATIN: Attention-embedded time-aware imputation networks for production data anomaly detection. - Xi Zhang; Hu Chen; Rui Li; Zhaolei Fei; Fan Min 001 (Intell. Data Anal., 2024)

Matrix factorization with a sigmoid-like loss control. - Yuanyuan Xu 003; Hui Xiao; Heng-Ru Zhang; Wei-Zhi Wu 001; Fan Min 001 (Neurocomputing, 2024)

Individual entity induced label concept set for classification: An information fusion viewpoint. - Zhonghui Liu; Xiaofei Zeng; Jinhai Li; Fan Min 001 (Inf. Fusion, 2024)

Efficient high utility itemset mining without the join operation. - Yihe Yan; Xinzheng Niu; Zhiheng Zhang; Philippe Fournier-Viger; Libin Ye; Fan Min 001 (Inf. Sci., 2024)

Exploiting asymmetric influence between instances for label enhancement. - Heng-Ru Zhang; Peng-Cheng Li; Yuanyuan Xu 003; Fan Min 001 (Inf. Sci., 2024)

Improving the transferability of adversarial examples through neighborhood attribution. - Wuping Ke; Desheng Zheng; Xiaoyu Li 003; Yuanhang He; Tianyu Li; Fan Min 001 (Knowl. Based Syst., 2024)

Parallel-serial architecture with instance correlation label-specific features for multi-label learning. - Yi-Zhang Li; Fan Min 001 (Knowl. Based Syst., 2024)

Self-supervised class-balanced active learning with uncertainty-mastery fusion. - Yan-Xue Wu; Fan Min 001; Gong-Suo Chen; Shaopeng Shen; Zuo-Cheng Wen; Xiangbing Zhou (Knowl. Based Syst., 2024)

ABA-FWI: Augmented Boundary Attention for Full Waveform Inversion. - Qiong Xu; Fan Min 001; Shulin Pan; Xing-Yi Zhang; Guojie Song; Ke Wang 049; Xindong Wu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

DD-Net: Dual Decoder Network With Curriculum Learning for Full Waveform Inversion. - Xing-Yi Zhang; Fan Min 001; Shulin Pan; Qiong Xu; Xue-Yang Min; Guojie Song; Ke Wang 049 (IEEE Trans. Geosci. Remote. Sens., 2024)

Channel-augmented joint transformation for transferable adversarial attacks. - Desheng Zheng; Wuping Ke; Xiaoyu Li; Shibin Zhang; Guangqiang Yin; Weizhong Qian; Yong Zhou; Fan Min 001; Shan Yang (Appl. Intell., 2024)

Swin Transformer for simultaneous denoising and interpolation of seismic data. - Lei Gao 008; Housen Shen; Fan Min 001 (Comput. Geosci., 2024)

IUG-CF: Neural collaborative filtering with ideal user group labels. - Zi-Feng Peng; Heng-Ru Zhang; Fan Min 001 (Expert Syst. Appl., 2024)

BSRU: boosting semi-supervised regressor through ramp-up unsupervised loss. - Liyan Liu; Haimin Zuo; Fan Min 001 (Knowl. Inf. Syst., 2024)

Microbial data augmentation combining feature extraction and transformer network. - Liu-Ying Wen; Zhu Chen; Xiao-Nan Xie; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2024)

Misclassification-guided loss under the weighted cross-entropy loss framework. - Yan-Xue Wu; Kai Du; Xian-Jie Wang; Fan Min 001 (Knowl. Inf. Syst., 2024)

Semi-supervised regression via embedding space mapping and pseudo-label smearing. - Liyan Liu; Jin Zhang; Kun Qian 011; Fan Min 001 (Appl. Intell., 2024)

Multi-label learning for fault diagnosis of pumping units with one positive label. - Kun Qian 011; Jinyu Tang; Qimei Zhao; Shu Zhao; Fan Min 001 (Appl. Soft Comput., 2025)

Classification-wise and cluster-wise contrastive learning for graph neural recommendation. - Heng-Ru Zhang; Xin-Yu Liu; Yuanyuan Xu 003; Yi-Fan Yu; Fan Min 001 (Appl. Soft Comput., 2025)

Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples. - Gui-Hong Li; Heng-Ru Zhang; Fan Min 001 (Comput. Networks, 2025)

Aspect-level recommendation fused with review and rating representations. - Heng-Ru Zhang; Ling Lin; Fan Min 001 (Data Knowl. Eng., 2025)

VIF-Net: Interface completion in full waveform inversion using fusion networks. - Zixuan Deng; Qiong Xu; Fan Min 001; Yanping Xiang (Comput. Geosci., 2025)

Boosting semi-supervised regressor via confidence-weighted consistency regularization. - Liyan Liu; Luxuan Feng; Fan Min 001 (Knowl. Based Syst., 2025)

Dual-perspective multi-instance embedding learning with adaptive density distribution mining. - Mei Yang 002; Tian-Lin Chen; Wei-Zhi Wu 001; Wen-Xi Zeng; Jing-Yu Zhang; Fan Min 001 (Pattern Recognit., 2025)

Enhancing the Transferability of Adversarial Attacks via Multi-Feature Attention. - Desheng Zheng; Wuping Ke; Xiao-Yu Li 003; Yaoxin Duan; Guangqiang Yin; Fan Min 001 (IEEE Trans. Inf. Forensics Secur., 2025)

PDSAM: Prompt-Driven SAM for Track Defect Detection. - Yu Fang; Pan Tao; Tianrui Li 001; Fan Min 001 (IEEE Trans. Instrum. Meas., 2025)

Ensemble microbial classification based on space partitioning and data augmentation. - Liu-Ying Wen; Zhu Chen; Fan Min 001 (Appl. Intell., 2025)

NkEL: nearest k-labelsets ensemble for multi-label learning. - Xi-Yan Zhong; Yu-Li Zhang; Dan-Dong Wang; Fan Min 001 (Appl. Intell., 2025)

Learning cluster-wise label distribution for label enhancement. - Jun Fan; Heng-Ru Zhang; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2025)

Knowledge-enhanced recommendation via dynamic co-attention and high-order connectivity. - Dan-Dong Wang; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2025)

Multi-instance embedding space set-kernel fusion with discriminability metric. - Mei Yang 002; Jing-Yu Zhang; Zhen Pan; Fan Min 001 (Appl. Intell., 2025)

Harmful data enhanced anomaly detection for quasi-periodic multivariate time series. - Liyuan Wang; Yong Zhou; Wuping Ke; Desheng Zheng; Fan Min 001; Hui Li (Appl. Intell., 2025)

Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces. - Chaofan Pan; Jiafen Liu; Yanhua Li; Linbo Xiong; Fan Min 001; Wei Wei 018; Xin Yang 012 (CoRR, 2025)

Label-specific disentanglement and correlation-guided fusion for multi-label classification. - Yang Li; Kun Wang; Leting Tan; Fan Min 001 (Knowl. Inf. Syst., 2025)

Deep Active Learning for Image Hierarchical Classification by Introducing Dependencies and Constraints Between Classes. - Yan-Xue Wu; Min Wang 031; Fan Min 001; Qi Wang; Zhi-Heng Zhang; Haoyu Zhang; Xiangbing Zhou (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Three-way unsupervised anomaly detection of sequential patterns. - Gong-Suo Chen; Tirapot Chandarasupsang; Zhi-Heng Zhang; Xiang-Bing Zhou; Wu Deng; Annop Tananchana; Lei Mu; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2025)

Exploiting global information and local edge detail for full waveform inversion. - Yu-Mei Wang; Qiong Xu; Ziyu Qin; Shulin Pan; Fan Min 001 (Comput. Geosci., 2026)

Multi-Scale Temporal Graph Contrastive Embedding for urban region representation. - Yue Li; Xinzheng Niu; Jiahui Zhu; Shuai Wen; Fan Min 001 (Inf. Fusion, 2026)

Neural recommendation by user-item-user and item-user-item relation modeling. - Yuanyuan Xu 003; Hui Xiao; Heng-Ru Zhang; Dan-Dong Wang; Kun Wang; Fan Min 001 (Pattern Recognit., 2026)