Structure of Rough Approximations Based on Molecular Lattices. - Jianhua Dai (Rough Sets and Current Trends in Computing, 2004)

Sequent calculus system for rough sets based on rough Stone algebras. - Jianhua Dai; Weidong Chen 002; Yunhe Pan (GrC, 2005)

Logic for Rough Sets with Rough Double Stone Algebraic Semantics. - Jianhua Dai (RSFDGrC (1), 2005)

Particle Swarm Algorithm for Minimal Attribute Reduction of Decision Data Tables. - Jianhua Dai; Weidong Chen 002; Hongying Gu; Yunhe Pan (IMSCCS (2), 2006)

Two Kinds of Rough Algebras and Brouwer-Zadeh Lattices. - Jianhua Dai; Hanfei Lv; Weidong Chen 002; Yunhe Pan (RSCTC, 2006)

Rough Sets and Brouwer-Zadeh Lattices. - Jianhua Dai; Weidong Chen 002; Yunhe Pan (RSKT, 2006)

Study on the Axis Problem of Rough 3-Valued Algebras. - Jianhua Dai (GrC, 2007)

Economic Analysis and Application Practice of Outsourcing of Human Resources Management. - Jianhua Dai; Bo Dai 011; Kaili Kan (CSSE (5), 2008)

Experimental Study on Neuronal Spike Sorting Methods. - Jianhua Dai; Xiaochun Liu; Yu Yi; Huaijian Zhang; Jingjing Wang; Shaomin Zhang; Xiaoxiang Zheng (FGCN (2), 2008)

Neuronal Spike Sorting Based on 2-Stage RBF Networks. - Jianhua Dai; Xiaochun Liu; Shaomin Zhang; Huaijian Zhang; Yi Yu; Xiaoxiang Zheng (FGCN (3: BSBT), 2008)

Algebraic Method for Granular Computing. - Jianhua Dai (GrC, 2008)

Analysis of Neuronal Ensembles Encoding Model in Invasive Brain-computer Interface Study using Radial-Basis-Function Networks. - Jianhua Dai; Xiaochun Liu; Shaomin Zhang; Huaijian Zhang; Yu Yi; Qingbo Wang; Yu Su; Weidong Chen 002; Xiaoxiang Zheng (GrC, 2008)

Rough 3-valued algebras. - Jianhua Dai (Inf. Sci., 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)

Rough 3-valued Lukasiewicz algebras and BCI-algebras. - Jianhua Dai (GrC, 2009)

Rough 3-Valued Lukasiewicz Agebras and MV-Algebras. - Jianhua Dai; Xiaochun Liu (RSKT, 2009)

Probabilistic neural network based motor cortical decoding method and hardware implementation. - Xiaoxiang Zheng; Jia Jia; Yaoyao Hao; Shaomin Zhang; Weidong Chen 002; Jianhua Dai (CACSD, 2010)

Action Potential Classification Based on LVQ Neural Network. - Jianhua Dai; Qing Xu 011; Mianrui Chai; Qida Hu (RSKT, 2010)

Generalized Rough Logics with Rough Algebraic Semantics. - Jianhua Dai (Int. J. Cogn. Informatics Nat. Intell., 2010)

A Novel Matched Filter for Neural Action Potential Detection. - Jianhua Dai; Huaijian Zhang; Xiaochun Liu; Shaomin Zhang; Weidong Chen 002; Xiaoxiang Zheng (J. Convergence Inf. Technol., 2010)

Neural spike sorting by rough set method. - Jianhua Dai; Xiaochun Liu; Qing Xu 011; Nenggan Zheng; Shaomin Zhang; Weidong Chen 002; Xiaoxiang Zheng (J. Digit. Content Technol. its Appl., 2010)

Continuous Neural Decoding Method Based on General Regression Neural Network. - Jianhua Dai; Xiaochun Liu; Shaomin Zhang; Huaijian Zhang; Qing Xu 011; Weidong Chen 002; Xiaoxiang Zheng (J. Digit. Content Technol. its Appl., 2010)

A P300 based online brain-computer interface system for virtual hand control. - Weidong Chen 002; Jianhui Zhang; Ji-cai Zhang; Yi Li; Yu Qi; Yu Su; Bian Wu; Shaomin Zhang; Jianhua Dai; Xiaoxiang Zheng (J. Zhejiang Univ. Sci. C, 2010)

A Variable Precision Covering Generalized Rough Set Model. - Xinwei Zheng; Jianhua Dai (RSKT, 2011)

Conditional entropy for incomplete decision systems and its application in data mining. - Jianhua Dai; Qing Xu 011; Wentao Wang 004; Haowei Tian (Int. J. Gen. Syst., 2012)

Approximations and uncertainty measures in incomplete information systems. - Jianhua Dai; Qing Xu 011 (Inf. Sci., 2012)

Uncertainty measurement for interval-valued decision systems based on extended conditional entropy. - Jianhua Dai; Wentao Wang 004; Qing Xu 011; Haowei Tian (Knowl. Based Syst., 2012)

Computing Preferred Labellings by Exploiting SCCs and Most Sceptically Rejected Arguments. - Beishui Liao; Liyun Lei; Jianhua Dai (TAFA, 2013)

Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification. - Jianhua Dai; Qing Xu 011 (Appl. Soft Comput., 2013)

Fuzzy rough set model for set-valued data. - Jianhua Dai; Haowei Tian (Fuzzy Sets Syst., 2013)

Rough set approach to incomplete numerical data. - Jianhua Dai (Inf. Sci., 2013)

Entropy measures and granularity measures for set-valued information systems. - Jianhua Dai; Haowei Tian (Inf. Sci., 2013)

Uncertainty measurement for interval-valued information systems. - Jianhua Dai; Wentao Wang 004; Ju-Sheng Mi (Inf. Sci., 2013)

Decision rule mining using classification consistency rate. - Jianhua Dai; Haowei Tian; Wentao Wang 004; Liang Liu (Knowl. Based Syst., 2013)

Attribute selection based on a new conditional entropy for incomplete decision systems. - Jianhua Dai; Wentao Wang 004; Haowei Tian; Liang Liu (Knowl. Based Syst., 2013)

An Uncertainty Measure for Incomplete Decision Tables and Its Applications. - Jianhua Dai; Wentao Wang 004; Qing Xu 011 (IEEE Trans. Cybern., 2013)

Uncertainty Measurement for Covering Rough Sets. - Jianhua Dai; Debiao Huang; Huashi Su; Haowei Tian; Tian Yang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

On the union and intersection operations of rough sets based on various approximation spaces. - Xiaohong Zhang 001; Jianhua Dai; Yucai Yu (Inf. Sci., 2015)

Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy. - Jianhua Dai; Huifeng Han; Hu Hu; Qinghua Hu; Bingjie Wei; Yuejun Yan (WAIM (2), 2016)

DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory. - Jianhua Dai; Huifeng Han; Hu Hu; Qinghua Hu; Jinghong Zhang; Wentao Wang 004 (WAIM (2), 2016)

Event graph based contradiction recognition from big data collection. - Maofu Liu; Limin Wang; Liqiang Nie; Jianhua Dai; Donghong Ji (Neurocomputing, 2016)

A classification model for semantic entailment recognition with feature combination. - Maofu Liu; Luming Zhang; Huijun Hu; Liqiang Nie; Jianhua Dai (Neurocomputing, 2016)

Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making. - Jianhua Dai; Guojie Zheng; Qinghua Hu; Maofu Liu; Huashi Su (J. Intell. Fuzzy Syst., 2016)

Attribute reduction in interval-valued information systems based on information entropies. - Jianhua Dai; Hu Hu; Guojie Zheng; Qinghua Hu; Huifeng Han; Hong Shi (Frontiers Inf. Technol. Electron. Eng., 2016)

Discrete particle swarm optimization approach for cost sensitive attribute reduction. - Jianhua Dai; Huifeng Han; Qinghua Hu; Maofu Liu (Knowl. Based Syst., 2016)

Catoptrical rough set model on two universes using granule-based definition and its variable precision extensions. - Jianhua Dai; Huifeng Han; Xiaohong Zhang 001; Maofu Liu; Shuping Wan; Jun Liu 001; Zhenli Lu (Inf. Sci., 2017)

Uncertainty measurement for incomplete interval-valued information systems based on α-weak similarity. - Jianhua Dai; Bingjie Wei; Xiaohong Zhang 001; Qilai Zhang (Knowl. Based Syst., 2017)

Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach. - Jianhua Dai; Qinghua Hu; Jinghong Zhang; Hu Hu; Nenggan Zheng (IEEE Trans. Cybern., 2017)

Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition. - Nenggan Zheng; Jun Wen; Risheng Liu; Liangqu Long; Jianhua Dai; Zhefeng Gong (AAAI, 2018)

Dynamic Maintenance of Decision Rules for Decision Attribute Values' Changing. - Yingyao Wang; Jianhua Dai; Hong Shi (ICONIP (3), 2018)

Label Distribution Learning Based on Ensemble Neural Networks. - Yansheng Zhai; Jianhua Dai; Hong Shi (ICONIP (3), 2018)

Feature Selection Based on Fuzzy Conditional Distinction Degree. - Qilai Zhang; Jianhua Dai (ICONIP (4), 2018)

Discernibility Matrix-Based Ensemble Learning. - Shuaichao Gao; Jianhua Dai; Hong Shi (ICPR, 2018)

Semi-supervised Feature Selection by Mutual Information Based on Kernel Density Estimation. - Siqi Xu; Jianhua Dai; Hong Shi (ICPR, 2018)

Semi-supervised Feature Selection Based on Least Square Regression with Redundancy Minimization. - Siqi Xu; Jianhua Dai; Hong Shi (IJCNN, 2018)

Cluster Structure Preserving Based on Dictionary Pair for Unsupervised Feature Selection. - Qilai Zhang; Jianhua Dai (IJCNN, 2018)

Research on the Influencing Factors of Consumer Participation in Cooperative Consumption in Shared Economy. - Jianhua Dai; Libo Jin (ISCID (2), 2018)

New inclusion relation of neutrosophic sets with applications and related lattice structure. - Xiaohong Zhang 001; Chunxin Bo; Florentin Smarandache; Jianhua Dai (Int. J. Mach. Learn. Cybern., 2018)

Generalized rough set models determined by multiple neighborhoods generated from a similarity relation. - Jianhua Dai; Shuaichao Gao; Guojie Zheng (Soft Comput., 2018)

Locally Linear Approximation Approach for Incomplete Data. - Jianhua Dai; Hu Hu; Qinghua Hu; Wei Huang; Nenggan Zheng; Liang Liu (IEEE Trans. Cybern., 2018)

Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach. - Jianhua Dai; Qinghua Hu; Hu Hu; Debiao Huang (IEEE Trans. Fuzzy Syst., 2018)

Maximal-Discernibility-Pair-Based Approach to Attribute Reduction in Fuzzy Rough Sets. - Jianhua Dai; Hu Hu; Wei-Zhi Wu 001; Yuhua Qian; Debiao Huang (IEEE Trans. Fuzzy Syst., 2018)

Joint Dictionary Learning for Unsupervised Feature Selection. - Yang Fan; Jianhua Dai; Qilai Zhang; Shuai Liu 002 (ICANN (2), 2019)

Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization. - Yang Fan; Jianhua Dai; Siqi Xu (ICONIP (3), 2019)

Geometric Mean Metric Learning for Label Distribution Learning. - Yansheng Zhai; Jianhua Dai (ICONIP (2), 2019)

Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning. - Yang Fan; Jianhua Dai; Qilai Zhang (IJCNN, 2019)

Label Distribution Feature Selection Based on Mutual Information in Fuzzy Rough Set Theory. - Yingyao Wang; Jianhua Dai (IJCNN, 2019)

Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations. - Lin Xiao 002; Lei Jia; Yongsheng Zhang; Zeshan Hu; Jianhua Dai (IEEE Access, 2019)

Label Distribution Data Feature Reduction Based on Fuzzy Rough Set Model. - Yansheng Zhai; Jianhua Dai (Aust. J. Intell. Inf. Process. Syst., 2019)

Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations. - Lin Xiao 002; Qian Yi; Jianhua Dai; Kenli Li 001; Zeshan Hu (Neurocomputing, 2019)

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001; Hamido Fujita (Knowl. Based Syst., 2019)

A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion. - Lin Xiao 002; Yongsheng Zhang; Jianhua Dai; Ke Chen 004; Song Yang; Weibing Li; Bolin Liao; Lei Ding 007; Jichun Li 002 (Neural Networks, 2019)

Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward. - Nenggan Zheng; Qian Ma 005; Mengjie Jin 001; Shaomin Zhang; Nan Guan; Qiang Yang 004; Jianhua Dai (IEEE Trans. Cybern., 2019)

Performance Benefits of Robust Nonlinear Zeroing Neural Network for Finding Accurate Solution of Lyapunov Equation in Presence of Various Noises. - Lin Xiao 002; Yongsheng Zhang; Zeshan Hu; Jianhua Dai (IEEE Trans. Ind. Informatics, 2019)

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework. - Qiu Xiao; Jiawei Luo 001; Jianhua Dai (IEEE J. Biomed. Health Informatics, 2019)

Feature selection via normative fuzzy information weight with application into tumor classification. - Jianhua Dai; Jiaolong Chen (Appl. Soft Comput., 2020)

Multivariable grey prediction evolution algorithm: A new metaheuristic. - Xinlin Xu; Zhongbo Hu; Qinghua Su; Yuanxiang Li 001; Jianhua Dai (Appl. Soft Comput., 2020)

A multimodal deep architecture for traditional Chinese medicine diagnosis. - Yinglong Dai; Guojun Wang 001; Jianhua Dai; Oana Geman (Concurr. Comput. Pract. Exp., 2020)

A novel approach to predictive analysis using attribute-oriented rough fuzzy sets. - Bin Yu 012; Mingjie Cai; Jianhua Dai; Qingguo Li (Expert Syst. Appl., 2020)

Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances. - Lin Xiao 002; Lei Jia; Jianhua Dai; Zhiguo Tan (Neurocomputing, 2020)

New error function designs for finite-time ZNN models with application to dynamic matrix inversion. - Lin Xiao 002; Haiyan Tan; Lei Jia; Jianhua Dai; Yongsheng Zhang (Neurocomputing, 2020)

Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation. - Jianhua Dai; Jiaolong Chen; Ye Liu; Hu Hu (Knowl. Based Syst., 2020)

Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system. - Zhaowen Li; Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Hamido Fujita (Knowl. Based Syst., 2020)

Fast feature selection for interval-valued data through kernel density estimation entropy. - Jianhua Dai; Ye Liu; Jiaolong Chen; Xiaofeng Liu 007 (Int. J. Mach. Learn. Cybern., 2020)

Unsupervised attribute reduction based on $$ alpha $$-approximate equal relation in interval-valued information systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Chucai Zhang (Int. J. Mach. Learn. Cybern., 2020)

Knowledge granularity based incremental attribute reduction for incomplete decision systems. - Chucai Zhang; Jianhua Dai; Jiaolong Chen (Int. J. Mach. Learn. Cybern., 2020)

Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation. - Tian Yang; Xiaru Zhong; Guangming Lang; Yuhua Qian; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2020)

Design and Analysis of New Zeroing Neural Network Models With Improved Finite-Time Convergence for Time-Varying Reciprocal of Complex Matrix. - Zhen Jian; Lin Xiao 002; Jianhua Dai; Zhuo Tang; Chubo Liu (IEEE Trans. Ind. Informatics, 2020)

A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises. - Lin Xiao 002; Yongsheng Zhang; Qiuyue Zuo; Jianhua Dai; Jichun Li 002; Wensheng Tang (IEEE Trans. Ind. Informatics, 2020)

Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. - Lin Xiao 002; Jianhua Dai; Rongbo Lu; Shuai Li 002; Jichun Li 002; Shoujin Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

A fuzzy α-similarity relation-based attribute reduction approach in incomplete interval-valued information systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Chucai Zhang (Appl. Soft Comput., 2021)

NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning. - Qiu Xiao; Yu Fu; Yide Yang; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2021)

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs. - Qiu Xiao; Ning Zhang; Jiawei Luo 001; Jianhua Dai; Xiwei Tang (Briefings Bioinform., 2021)

PyNeval: A Python Toolbox for Evaluating Neuron Reconstruction Performance. - Han Zhang; Chao Liu 043; Yifei Yu; Jianhua Dai; Ting Zhao; Nenggan Zheng (Frontiers Neuroinformatics, 2021)

Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Changzhong Wang; Jianming Zhan 001 (Int. J. Fuzzy Syst., 2021)

Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems. - Jianhua Dai; Yingkun Cao; Lin Xiao 002; Haiyan Tan; Lei Jia (Neurocomputing, 2021)

Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation. - Jianhua Dai; Ye Liu; Jiaolong Chen (Inf. Sci., 2021)

Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations. - Jianhua Dai; Yiwei Li 006; Lin Xiao 002; Lei Jia; Qing Liao 001; Jichun Li 002 (Inf. Sci., 2021)

A novel three-way decision approach under hesitant fuzzy information. - Jiajia Wang 001; Xueling Ma; Jianhua Dai; Jianming Zhan 001 (Inf. Sci., 2021)

High-order error function designs to compute time-varying linear matrix equations. - Lin Xiao 002; Haiyan Tan; Jianhua Dai; Lei Jia; Wensheng Tang (Inf. Sci., 2021)

A new classification and ranking decision method based on three-way decision theory and TOPSIS models. - Kai Zhang 049; Jianhua Dai; Jianming Zhan 001 (Inf. Sci., 2021)

An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations. - Lin Xiao 002; Yongjun He 001; Bolin Liao; Jianhua Dai (J. Comput. Appl. Math., 2021)

A Survey of CRF Algorithm Based Knowledge Extraction of Elementary Mathematics in Chinese. - Shuai Liu 002; Tenghui He; Jianhua Dai (Mob. Networks Appl., 2021)

A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance. - Lei Jia; Lin Xiao 002; Jianhua Dai; Yingkun Cao (IEEE Trans. Fuzzy Syst., 2021)

Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem. - Lei Jia; Lin Xiao 002; Jianhua Dai; Zhaohui Qi; Zhijun Zhang 003; Yongsheng Zhang (IEEE Trans. Fuzzy Syst., 2021)

A Unified Predefined-Time Convergent and Robust ZNN Model for Constrained Quadratic Programming. - Zeshan Hu; Lin Xiao 002; Jianhua Dai; Yang Xu 013; Qiuyue Zuo; Chubo Liu (IEEE Trans. Ind. Informatics, 2021)

Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification. - Lin Xiao 002; Yingkun Cao; Jianhua Dai; Lei Jia; Haiyan Tan (IEEE Trans. Ind. Informatics, 2021)

A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time. - Lin Xiao 002; Juan Tao; Jianhua Dai; Yaonan Wang 001; Lei Jia; Yongjun He 001 (IEEE Trans. Ind. Informatics, 2021)

Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. - Lin Xiao 002; Yongsheng Zhang; Jianhua Dai; Qiuyue Zuo; Shoujin Wang (IEEE Trans. Ind. Informatics, 2021)

Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation. - Jianhua Dai; Lei Jia; Lin Xiao 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization. - Lin Xiao 002; Jianhua Dai; Long Jin 001; Weibing Li; Shuai Li 002; Jian Hou 002 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving. - Lin Xiao 002; Yongsheng Zhang; Jianhua Dai; Jichun Li 002; Weibing Li (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Chinese medical dialogue information extraction via contrastive multi-utterance inference. - Jianhua Dai; Chao Jiang; Ruoyao Peng; Daojian Zeng; Yangding Li (Briefings Bioinform., 2022)

A survey of circular RNAs in complex diseases: databases, tools and computational methods. - Qiu Xiao; Jianhua Dai; Jiawei Luo 001 (Briefings Bioinform., 2022)

Document-level Relation Extraction with Context Guided Mention Integration and Inter-pair Reasoning. - Chao Zhao; Daojian Zeng; Lu Xu; Jianhua Dai (CoRR, 2022)

A novel multi-attribute decision-making method based on neighborhood approximations and its application. - Bin Yu 012; Zeshui Xu; Jianhua Dai; Tian Yang (Expert Syst. Appl., 2022)

Redefined fuzzy rough set models in fuzzy β-covering group approximation spaces. - Kai Zhang 049; Jianhua Dai (Fuzzy Sets Syst., 2022)

A Fuzzy Decision-Theoretic Rough Set Approach for Type-2 Fuzzy Conditional Information Systems and Its Application in Decision-Making. - Xiaofeng Liu 007; Jianhua Dai (Int. J. Fuzzy Syst., 2022)

Novel fuzzy β-covering rough set models and their applications. - Jianhua Dai; Xiongtao Zou; Wei-Zhi Wu (Inf. Sci., 2022)

Comprehensive fuzzy concept-oriented three-way decision and its application. - Xiangbin Liu; Wang Mao; Jianhua Dai; Kai Zhang 049 (Inf. Sci., 2022)

A new three-way multi-criteria decision-making method with fuzzy complementary preference relations based on additive consistency. - Qiumei Wang; Jianhua Dai; Zeshui Xu (Inf. Sci., 2022)

The selection of feasible strategies based on consistency measurement of cliques. - Feng Xu 011; Mingjie Cai; Huailing Song; Jianhua Dai (Inf. Sci., 2022)

CSDM: A context-sensitive deep matching model for medical dialogue information extraction. - Daojian Zeng; Ruoyao Peng; Chao Jiang; Yangding Li; Jianhua Dai (Inf. Sci., 2022)

Three-way multi-criteria group decision-making method in a fuzzy β-covering group approximation space. - Kai Zhang 049; Jianhua Dai (Inf. Sci., 2022)

A novel TOPSIS method with decision-theoretic rough fuzzy sets. - Kai Zhang 049; Jianhua Dai (Inf. Sci., 2022)

A new parallel algorithm for computing formal concepts based on two parallel stages. - Ligeng Zou; Tingting He; Jianhua Dai (Inf. Sci., 2022)

SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions. - Ming Chen; Wei Jiang; Yi Pan 001; Jianhua Dai; Yunwen Lei; Chunyan Ji (J. Comput. Biol., 2022)

A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations. - Jianhua Dai; Ping Tan; Xing Yang; Lin Xiao 002; Lei Jia; Yongjun He 001 (Knowl. Based Syst., 2022)

Semi-supervised attribute reduction for interval data based on misclassification cost. - Jianhua Dai; Qiong Liu (Int. J. Mach. Learn. Cybern., 2022)

Steadiness analysis of means-end conceptual paths and problem-chains based on concept lattices and similarity measuring. - Lankun Guo; Zhenhua Jia; Qingguo Li; Jianhua Dai (Int. J. Mach. Learn. Cybern., 2022)

Computing formal concepts in parallel via a workload rebalance approach. - Ligeng Zou; Xiaozhi Chen; Tingting He; Jianhua Dai (Int. J. Mach. Learn. Cybern., 2022)

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. - Hao Chen; Ruonan Liu; Zongxia Xie; Qinghua Hu; Jianhua Dai; Junhai Zhai (Pattern Recognit., 2022)

Application of Two Fuzzy Logic Systems to Complex-Type ZNN Models for the Drazin Inverse of Time-Dependent Complex-Value Matrix. - Lei Jia; Lin Xiao 002; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2022)

The Criterion-Oriented Three-Way Ranking and Clustering Strategies in Fuzzy Decision Environments. - Kai Zhang 049; Jianhua Dai; Zeshui Xu (IEEE Trans. Fuzzy Syst., 2022)

Fuzzy Measures and Choquet Integrals Based on Fuzzy Covering Rough Sets. - Xiaohong Zhang 001; Jingqian Wang; Jianming Zhan 001; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2022)

Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion. - Jianhua Dai; Yuanmeng Chen; Lin Xiao 002; Lei Jia; Yongjun He 001 (IEEE Trans. Ind. Informatics, 2022)

Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic Positioning. - Jianhua Dai; Yiwei Li 006; Lin Xiao 002; Lei Jia (IEEE Trans. Ind. Informatics, 2022)

ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation. - Jianhua Dai; Xing Yang; Lin Xiao 002; Lei Jia; Yiwei Li 006 (IEEE Trans. Ind. Informatics, 2022)

A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. - Lin Xiao 002; Yongjun He 001; Jianhua Dai; Xinwang Liu 002; Bolin Liao; Haiyan Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI. - Lin Xiao 002; Lei Jia; Yaonan Wang 001; Jianhua Dai; Qing Liao 001; Quanxin Zhu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Knowledge Graph Construction for Intelligent Media Based on Mobile Internet. - Jianhua Dai; Jingxin Xu (Wirel. Commun. Mob. Comput., 2022)

An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation. - Jianhua Dai; Liu Luo; Lin Xiao 002; Lei Jia; Xiaopeng Li (Int. J. Intell. Syst., 2022)

Positive-Guided Knowledge Distillation for Document-Level Relation Extraction with Noisy Labeled Data. - Daojian Zeng; Jianling Zhu; Lincheng Jiang; Jianhua Dai (NLPCC (1), 2023)

Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods. - Bin Yu 012; Ruihui Xu; Zeshui Xu; Jianhua Dai (Eng. Appl. Artif. Intell., 2023)

The intuitionistic fuzzy concept-oriented three-way decision model. - Jianhua Dai; Tao Chen 011; Kai Zhang 049 (Inf. Sci., 2023)

Interval-valued fuzzy discernibility pair approach for attribute reduction in incomplete interval-valued information systems. - Jianhua Dai; Zhiyang Wang; Weiyi Huang (Inf. Sci., 2023)

K-DGHC: A hierarchical clustering method based on K-dominance granularity. - Bin Yu 012; Zijian Zheng 001; Jianhua Dai (Inf. Sci., 2023)

Document-Level Relation Extraction With Context Guided Mention Integration and Inter-Pair Reasoning. - Daojian Zeng; Chao Zhao; Chao Jiang; Jianling Zhu; Jianhua Dai (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Attribute reduction in inconsistent grey decision systems based on variable precision grey multigranulation rough set model. - Yun Kang; Jianhua Dai (Appl. Soft Comput., 2023)

Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring. - Shuai Liu 002; Shuai Wang 011; Xinyu Liu 012; Jianhua Dai; Khan Muhammad 001; Amir H. Gandomi; Weiping Ding 001; Mohammad Hijji; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2023)

Multifuzzy $ beta$-Covering Approximation Spaces and Their Information Measures. - Jianhua Dai; Xiongtao Zou; Yuhua Qian; Xizhao Wang (IEEE Trans. Fuzzy Syst., 2023)

Semi-supervised attribute reduction via attribute indiscernibility. - Jianhua Dai; Weisi Wang; Chucai Zhang; Shaojun Qu (Int. J. Mach. Learn. Cybern., 2023)

A soft neighborhood rough set model and its applications. - Shuang An; Xingyu Guo; Changzhong Wang; Ge Guo 001; Jianhua Dai (Inf. Sci., 2023)

A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness. - Lin Xiao 002; Yongjun He 001; Yaonan Wang 001; Jianhua Dai; Ran Wang 001; Wensheng Tang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location. - Lin Xiao 002; Yongjun He 001; Yiwei Li 006; Jianhua Dai (IEEE Trans. Ind. Informatics, 2023)

Local Feature Selection for Large-Scale Data Sets With Limited Labels. - Tian Yang; Yanfang Deng; Bin Yu 012; Yuhua Qian; Jianhua Dai (IEEE Trans. Knowl. Data Eng., 2023)

Promoting effect of adaptive interaction based on random neighbors to cooperation in the spatial prisoner's dilemma game. - Shounan Lu; Ge Zhu; Jianhua Dai (Appl. Math. Comput., 2023)

An attribute fuzzy concept-oriented three-way utility decision model in multi-attribute environments. - Zhaohui Qi; Hui Li; Kai Zhang 049; Jianhua Dai (Appl. Soft Comput., 2023)

TI-fuzzy neighborhood measures and generalized Choquet integrals for granular structure reduction and decision making. - Jingqian Wang; Xiao-hong Zhang 001; Jianhua Dai; Jianming Zhan 001 (Fuzzy Sets Syst., 2023)

A bi-variable precision rough set model and its application to attribute reduction. - Bin Yu 012; Yan Hu; Jianhua Dai (Inf. Sci., 2023)

Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming. - Jianhua Dai; Xing Yang; Lin Xiao 002; Lei Jia; Xinwang Liu 002; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation. - Jianhua Dai; Ping Tan; Lin Xiao 002; Lei Jia; Liu Luo (Neurocomputing, 2023)

A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion. - Jianhua Dai; Ping Tan; Lin Xiao 002; Lei Jia; Yongjun He 001; Jiajie Luo (IEEE Trans. Fuzzy Syst., 2023)

Semi-supervised attribute reduction based on label distribution and label irrelevance. - Jianhua Dai; Weiyi Huang; Weisi Wang; Chucai Zhang (Inf. Fusion, 2023)

CLIG: A classification method based on bidirectional layer information granularity. - Bin Yu 012; Xu He; Jianhua Dai (Inf. Sci., 2023)

Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach. - Lei Jia; Lin Xiao 002; Jianhua Dai; Yaonan Wang 001 (IEEE Trans. Fuzzy Syst., 2023)

CoELM: Construction-Enhanced Language Modeling. - Lvxiaowei Xu; Zhilin Gong; Jianhua Dai; Tianxiang Wang; Ming Cai; Jiawei Peng (ACL (1), 2024)

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling. - Junchao Gong; Lei Bai 001; Peng Ye 006; Wanghan Xu; Na Liu; Jianhua Dai; Xiaokang Yang 001; Wanli Ouyang (ICML, 2024)

Relation guided and attention enhanced multi-head selection for relational facts extraction. - Daojian Zeng; Chao Zhao; Lu Xv; Jianhua Dai (Expert Syst. Appl., 2024)

Attribute reduction for heterogeneous data based on monotonic relative neighborhood granularity. - Jianhua Dai; Zhilin Zhu; Min Li; Xiongtao Zou; Chucai Zhang (Int. J. Approx. Reason., 2024)

Three-phase multi-criteria ranking considering three-way decision framework and criterion fuzzy concept. - Kai Zhang; Jianhua Dai (Int. J. Approx. Reason., 2024)

Fusion decision strategies for multiple criterion preferences based on three-way decision. - Zhaohui Qi; Hui Li; Fang Liu; Tao Chen; Jianhua Dai (Inf. Fusion, 2024)

Multi-fuzzy β-covering fusion based accuracy and self-information for feature subset selection. - Xiongtao Zou; Jianhua Dai (Inf. Fusion, 2024)

Feature selection based on neighborhood complementary entropy for heterogeneous data. - Jianhua Dai; Wenxiang Chen; Liyun Xia (Inf. Sci., 2024)

Attribute reduction based on intuitionistic fuzzy dominance mutual information in intuitionistic fuzzy information systems. - Xiaofeng Liu 007; Hong Mo; Jianhua Dai (Inf. Sci., 2024)

A novel multi-label feature selection method based on knowledge consistency-independence index. - Xiangbin Liu; Heming Zheng; Wenxiang Chen; Liyun Xia; Jianhua Dai (Inf. Sci., 2024)

Noise-robust re-identification with triple-consistency perception. - Xueping Wang; Zhanpeng Shao; Shixi Luo; Jiazheng Wang; Min Liu 008; Jianhua Dai; Jun Cheng (Image Vis. Comput., 2024)

BDCore: Bidirectional Decoding with Co-graph Representation for Joint Entity and Relation Extraction. - Daojian Zeng; Chao Zhao; Dongye Li; Jianhua Dai (Knowl. Based Syst., 2024)

Relation-Preserving Feature Embedding for Unsupervised Person Re-Identification. - Xueping Wang; Min Liu 008; Fei Wang 124; Jianhua Dai; An-An Liu; Yaonan Wang 001 (IEEE Trans. Multim., 2024)

Document-level denoising relation extraction with false-negative mining and reinforced positive-class knowledge distillation. - Daojian Zeng; Jianling Zhu; Hongting Chen; Jianhua Dai; Lincheng Jiang (Inf. Process. Manag., 2024)

Feature selection based on fuzzy combination entropy considering global and local feature correlation. - Jianhua Dai; Qi Liu; Xiongtao Zou; Chucai Zhang (Inf. Sci., 2024)

Multi-label feature selection by strongly relevant label gain and label mutual aid. - Jianhua Dai; Weiyi Huang; Chucai Zhang; Jie Liu (Pattern Recognit., 2024)

Sequence tagging with a rethinking structure for joint entity and relation extraction. - Daojian Zeng; Lu Xu; Chao Jiang; Jianlin Zhu; Hongting Chen; Jianhua Dai; Lincheng Jiang (Int. J. Mach. Learn. Cybern., 2024)

Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables. - Chucai Zhang; Hong Liu; Zhengxiang Lu; Jianhua Dai (Int. J. Mach. Learn. Cybern., 2024)

Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time. - Lin Xiao 002; Lei Jia; Jianhua Dai; Yingkun Cao; Yiwei Li 006; Quanxin Zhu; Jichun Li 002; Min Liu 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fuzzy Rough Attribute Reduction Based on Fuzzy Implication Granularity Information. - Jianhua Dai; Zhilin Zhu; Xiongtao Zou (IEEE Trans. Fuzzy Syst., 2024)

Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition. - Lin Xiao 002; Sida Xiao; Yongjun He 001; Jianhua Dai; Yaonan Wang 001; Yiwei Li 006 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Attribute Reduction of Type-2 Fuzzy Information Systems Based on σ Self-information. - Zhaohui Qi; Lixiang Zhan; Jianhua Dai; Zhiyang Wang (Int. J. Fuzzy Syst., 2024)

Novel multi-label feature selection via label enhancement and relative maximal discernibility pairs. - Jianhua Dai; Zhiyang Wang; Weiyi Huang (Int. J. Mach. Learn. Cybern., 2024)

Attribute Reduction Based on Fuzzy Distinguishable Pair Metric Considering Redundancy Upper and Lower Bounds. - Jianhua Dai; Qi Liu; Changzhong Wang (IEEE Trans. Fuzzy Syst., 2024)

A Novel Zeroing Neurodynamic Method Based on Discrete Fuzzy Control System: Design, Analysis, and Verification. - Lei Jia; Lin Xiao 002; Yaonan Wang 001; Jianhua Dai; Biao Luo 001 (IEEE Trans. Fuzzy Syst., 2024)

GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model. - Jianhua Dai; Tao Chen 011; Kai Zhang 049; Dun Liu; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2024)

Multilabel Feature Selection Based on Fuzzy Mutual Information and Orthogonal Regression. - Jianhua Dai; Qi Liu; Wenxiang Chen; Chucai Zhang (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Clustering Guided by Spectral Rotation and Scaling. - Jie Zhou 009; Ge Yuan; Can Gao; Xizhao Wang; Jianhua Dai; Witold Pedrycz (IEEE Trans. Cybern., 2024)

A Double Integral Noise-Tolerant Fuzzy ZNN Model for TVSME Applied to the Synchronization of Chua's Circuit Chaotic System. - Lin Xiao 002; Dan Wang; Liu Luo; Jianhua Dai; Xiangru Yan; Jichun Li 002 (IEEE Trans. Fuzzy Syst., 2024)

Modified Noise-Immune Fuzzy Neural Network for Solving the Quadratic Programming With Equality Constraint Problem. - Jianhua Dai; Liu Luo; Lin Xiao 002; Lei Jia; Penglin Cao; Jichun Li 002; Natalio Krasnogor; Yaonan Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mitigating Demonstration Bias through Global Coevolutionary Reasoning. - Chuan Gou; Bangwei Li; Jianhua Dai; Xiaoyang Han; Ming Cai (ACL (Findings), 2025)

A deep knowledge tracing model based on cognitive assimilation and item response theory with better interpretability. - Lankun Guo; Jingyi Zhang; Guozhi Ma; Jianhua Dai (Appl. Soft Comput., 2025)

A three-way utility decision model with multi-label based on fuzzy neighborhood environments. - Zhaohui Qi; Jiafeng Hu; Hui Li; Jianhua Dai (Appl. Soft Comput., 2025)

Analysis on the influence of innovation factors on the digital transformation of Chinese manufacturing enterprises: empirical evidence from A-share listed companies in manufacturing industry. - Jianhua Dai; Shuanglei Xu (Int. J. Technol. Manag., 2025)

Multi-label feature selection with missing labels by weak-label fusion fuzzy discernibility pair. - Jianhua Dai; Min Li; Chucai Zhang (Inf. Fusion, 2025)

An adaptive confidence-based data revision framework for Document-level Relation Extraction. - Chao Jiang; Jinzhi Liao; Xiang Zhao 002; Daojian Zeng; Jianhua Dai (Inf. Process. Manag., 2025)

Iterative program synthesis with code knowledge. - Jiaxin Liu; Yiwei Li 006; Jianhua Dai; Rongjia Xu; Yating Zhang; Wei Dong 006 (Inf. Sci., 2025)

Feature selection based on consistent granulation. - Tian Yang; Shuo Shen; Hao Cheng; Jinsheng Deng; Jie Liang; Yuhua Qian; Jianhua Dai (Inf. Sci., 2025)

Incremental attribute reduction for dynamic fuzzy decision information systems based on fuzzy knowledge granularity. - Chucai Zhang; Zhengxiang Lu; Jianhua Dai (Inf. Sci., 2025)

Augmenting interaction effects in convolutional networks with taylor polynomial gated units. - Ligeng Zou; Qi Liu; Jianhua Dai (Neural Networks, 2025)

Multi-label feature selection with missing features by tolerance implication granularity information and symmetric coupled discriminant weight. - Jianhua Dai; Jie Wang 159 (Pattern Recognit., 2025)

Attribute selection for incomplete decision systems by maximizing correlation and independence with mutual granularity. - Chucai Zhang; Yongkang Zhang; Jianhua Dai (Appl. Intell., 2025)

Label-Specific Multilabel Feature Selection Based on Fuzzy Implication Granularity Information. - Yangding Li; Hao Xie; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)

Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery. - Jianhua Dai; Wenxiang Chen; Yuhua Qian (IEEE Trans. Knowl. Data Eng., 2025)

Online Streaming Feature Selection Using Bidirectional Complementarity Based on Fuzzy Gini Entropy. - Chucai Zhang; Zhengxiang Lu; Yongkang Zhang; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)

Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network. - Jianhua Dai; Ping Tan; Lin Xiao 002; Zidong Wang 001; Yongjun He 001; Qiuyue Zuo (Neural Comput. Appl., 2025)

Online Multilabel Streaming Feature Selection by Label Enhancement and Fuzzy Synergistic Discrimination Information. - Ligeng Zou; Tong Zhou; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)

Fuzzy granularity entropy-based incremental attribute reduction for dynamic incomplete real-valued decision systems. - Chucai Zhang; Zhengxiang Lu; Yongkang Zhang; Jianhua Dai (Appl. Intell., 2025)

Noise-Tolerant Multilabel Feature Selection Based on Sample Reliability Degree and Fuzzy Association Confidence. - Yun Kang; Jiaxin Li; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)

Online multi-label streaming feature selection by affinity significance, affinity relevance and affinity redundancy. - Jianhua Dai; Duo Xu; Chucai Zhang (Pattern Recognit., 2026)

Feature selection based on rough diversity entropy. - Xiongtao Zou; Jianhua Dai (Pattern Recognit., 2026)