Studies on incidence pattern recognition based on information entropy. - Shi-Fei Ding; Zhong-Zhi Shi (J. Inf. Sci., 2005)

Studies on Fuzzy Information Measures. - Shifei Ding; Zhongzhi Shi; Fengxiang Jin (IEEE ICCI, 2006)

A Novel Supervised Information Feature Compression Algorithm. - Shi-Fei Ding; Zhong-Zhi Shi (International Conference on Computational Science (1), 2006)

Supervised Feature Extraction Algorithm Based on Continuous Divergence Criterion. - Shifei Ding; Zhongzhi Shi; Fengxiang Jin (ICIC (2), 2006)

Divergence-Based Supervised Information Feature Compression Algorithm. - Shi-Fei Ding; Zhong-Zhi Shi (ISNN (1), 2006)

Supervised feature extraction algorithm based on improved polynomial entropy. - Shifei Ding; Zhongzhi Shi (J. Inf. Sci., 2006)

Studies on Fuzzy Information Measures. - Shifei Ding; Zhongzhi Shi; Shixiong Xia; Fengxiang Jin (FSKD (3), 2007)

Hierarchical Policy for Agent Grid Collaboration. - Maoguang Wang; Zhongzhi Shi; Shifei Ding (GCC, 2007)

Supervised Information Feature Compression Algorithm Based on Divergence Criterion. - Shifei Ding; Wei Ning; Fengxiang Jin; Shixiong Xia; Zhongzhi Shi (ICIC (2), 2007)

Agent Grid Collaborative Schema Based on Policy. - Maoguang Wang; Zhongzhi Shi; Shixiong Xia; Shifei Ding (ICIC (3), 2007)

Diversity Analysis of Information Pattern and Information Clustering Algorithm. - Shifei Ding; Wei Ning; Zhongzhi Shi (ISICA, 2007)

Novel fuzzy information proximity measures. - Shi-Fei Ding; Shixiong Xia; Fengxiang Jin; Zhong-Zhi Shi (J. Inf. Sci., 2007)

A Novel Fuzzy Likelihood Measure Algorithm. - Shifei Ding; Fengxiang Jin (CSSE (1), 2008)

A Supervised Feature Extraction Algorithm for Multi-class. - Shifei Ding; Fengxiang Jin; Xiaofeng Lei; Zhongzhi Shi (FAW, 2008)

A Survey on Statistical Pattern Feature Extraction. - Shifei Ding; Weikuan Jia; Chunyang Su; Fengxiang Jin; Zhongzhi Shi (ICIC (2), 2008)

A Supervised PLS Information Recognition Algorithm. - Fengxiang Jin; Shifei Ding (ICIC (1), 2008)

Some Progress of Supervised Learning. - Chunyang Su; Shifei Ding; Weikuan Jia; Xin Wang 144; Xinzheng Xu (ICIC (2), 2008)

An improved PCA algorithm based on WIF. - Fengxiang Jin; Shifei Ding (IJCNN, 2008)

PCA-Based Elman Neural Network Algorithm. - Shifei Ding; Weikuan Jia; Chunyang Su; Xinzheng Xu; Liwen Zhang (ISICA, 2008)

Neural Network Research Progress and Applications in Forecast. - Shifei Ding; Weikuan Jia; Chunyang Su; Liwen Zhang; Zhongzhi Shi (ISNN (2), 2008)

User Knowledge Requirement Model and its Hybrid Evolution Algorithm. - Lei Zhang 029; Shixiong Xia; Shifei Ding; Yong Zhou 003; Qiulin Ding (ITNG, 2008)

Research on a principal components decision algorithm based on information entropy. - Shifei Ding; Yongping Zhang; Xiaofeng Lei; Xinzheng Xu; Xin Wang 144; Li Wang; Qing He (J. Inf. Sci., 2009)

Neural Networks Algorithm Based on Factor Analysis. - Shifei Ding; Weikuan Jia; Xinzheng Xu; Hong Zhu 005 (ISNN (1), 2010)

An Improved BP Neural Network Algorithm Based on Factor Analysis. - Shifei Ding; Weikuan Jia; Chunyang Su; Xiaoliang Liu; Jinrong Chen (J. Convergence Inf. Technol., 2010)

Using Genetic Algorithms to Optimize Artificial Neural Networks. - Shifei Ding; Li Xu; Chunyang Su; Hong Zhu 005 (J. Convergence Inf. Technol., 2010)

Research and Progress of Cluster Algorithms based on Granular Computing. - Shifei Ding; Li Xu; Hong Zhu 005; Liwen Zhang (J. Digit. Content Technol. its Appl., 2010)

Guest Editorial. - Feng Gao; Bin Wang; Deyun Yang; Junhu Zhang; Shifei Ding (J. Softw., 2010)

Region-based semi-supervised clustering image segmentation. - Tongfeng Sun; Zihui Ren; Shifei Ding (ICNC, 2011)

An optimizing BP neural network algorithm based on genetic algorithm. - Shifei Ding; Chunyang Su; Junzhao Yu (Artif. Intell. Rev., 2011)

Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). - Shifei Ding; Xinzheng Xu; Hong Zhu 005; Jian Wang 048; Fengxiang Jin (J. Comput., 2011)

Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. - Xinzheng Xu; Shifei Ding; Zhongzhi Shi; Hong Zhu 005; Zuopeng Zhao (J. Comput., 2011)

Guest Editorial. - Feng Gao; Tokuro Matsuo; Junhu Zhang; Shifei Ding (J. Softw., 2011)

Incremental Learning Algorithm for Support Vector Data Description. - Xiaopeng Hua; Shifei Ding (J. Softw., 2011)

Research of neural network algorithm based on factor analysis and cluster analysis. - Shifei Ding; Weikuan Jia; Chunyang Su; Liwen Zhang; Lili Liu (Neural Comput. Appl., 2011)

Research of granular support vector machine. - Shifei Ding; Bingjuan Qi (Artif. Intell. Rev., 2012)

A survey on feature extraction for pattern recognition. - Shifei Ding; Hong Zhu 005; Weikuan Jia; Chunyang Su (Artif. Intell. Rev., 2012)

Guest Editorial. - Shifei Ding (J. Comput., 2012)

Guest Editorial. - Shifei Ding; Zhengtao Yu 001 (J. Comput., 2012)

Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. - Xinzheng Xu; Shifei Ding; Zhongzhi Shi; Hong Zhu 005 (J. Zhejiang Univ. Sci. C, 2012)

An optimizing method of RBF neural network based on genetic algorithm. - Shifei Ding; Li Xu; Chunyang Su; Fengxiang Jin (Neural Comput. Appl., 2012)

Forecasting Method of Stock Price Based on Polynomial Smooth Twin Support Vector Regression. - Shifei Ding; Huajuan Huang; Ru Nie (ICIC (1), 2013)

Evolutionary artificial neural networks: a review. - Shifei Ding; Hui Li; Chunyang Su; Junzhao Yu; Fengxiang Jin (Artif. Intell. Rev., 2013)

Twin Support Vector Machines Based on Particle Swarm Optimization. - Shifei Ding; Junzhao Yu; Huajuan Huang; Han Zhao (J. Comput., 2013)

A Novel Extreme Learning Machine Based on Hybrid Kernel Function. - Shifei Ding; Yanan Zhang 004; Xinzheng Xu; Lina Bao (J. Comput., 2013)

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. - Huajuan Huang; Shifei Ding; Hong Zhu 005; Xinzheng Xu (J. Comput., 2013)

An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. - Yanan Zhang 004; Shifei Ding; Xinzheng Xu; Han Zhao; Wanqiu Xing (J. Comput., 2013)

A parallel attribute reduction algorithm based on Affinity Propagation clustering. - Hong Zhu 005; Shifei Ding; Xinzheng Xu; Li Xu (J. Comput., 2013)

Twin Support Vector Machines Based on Quantum Particle Swarm Optimization. - Shifei Ding; Fulin Wu; Ru Nie; Junzhao Yu; Huajuan Huang (J. Softw., 2013)

A Feature Weighted Spectral Clustering Algorithm Based on Knowledge Entropy. - Hongjie Jia; Shifei Ding; Hong Zhu 005; Fulin Wu; Lina Bao (J. Softw., 2013)

Novel Image Recognition Based on Subspace and SIFT. - Tongfeng Sun; Shifei Ding; Zihui Ren (J. Softw., 2013)

Attribute Granulation Based on Attribute Discernibility and AP Algorithm. - Hong Zhu 005; Shifei Ding; Han Zhao; Lina Bao (J. Softw., 2013)

Primal least squares twin support vector regression. - Huajuan Huang; Shi-Fei Ding; Zhong-Zhi Shi (J. Zhejiang Univ. Sci. C, 2013)

A fast fuzzy support vector machine based on information granulation. - Shifei Ding; Youzhen Han; Junzhao Yu; Yaxiang Gu (Neural Comput. Appl., 2013)

Research of semi-supervised spectral clustering based on constraints expansion. - Shifei Ding; Bingjuan Qi; Hongjie Jia; Hong Zhu 005; Liwen Zhang (Neural Comput. Appl., 2013)

Research on using genetic algorithms to optimize Elman neural networks. - Shifei Ding; Yanan Zhang 004; Jinrong Chen; Weikuan Jia (Neural Comput. Appl., 2013)

Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). - Xinzheng Xu; Shifei Ding; Weikuan Jia; Gang Ma 001; Fengxiang Jin (Neural Comput. Appl., 2013)

Research and Application Analysis of Feature Binding Mechanism. - Youzhen Han; Shifei Ding (IIP, 2014)

Granular neural networks. - Shifei Ding; Hongjie Jia; Jinrong Chen; Fengxiang Jin (Artif. Intell. Rev., 2014)

An overview on twin support vector machines. - Shifei Ding; Junzhao Yu; Bingjuan Qi; Huajuan Huang (Artif. Intell. Rev., 2014)

Recursive least squares projection twin support vector machines for nonlinear classification. - Shifei Ding; Xiaopeng Hua (Neurocomputing, 2014)

Track on Intelligent Computing and Applications: Selected papers from the 2012 International Workshop on Information, Intelligence and Computing (IWIIC 2012). - Shifei Ding; Zhongzhi Shi (Neurocomputing, 2014)

Polynomial Smooth Twin Support Vector Machines Based on Invasive Weed Optimization Algorithm. - Shifei Ding; Huajuan Huang; Junzhao Yu; Fulin Wu (J. Comput., 2014)

Spectral Clustering with Neighborhood Attribute Reduction Based on Information Entropy. - Hongjie Jia; Shifei Ding; Heng Ma; Wanqiu Xing (J. Comput., 2014)

Twin Support Vector Machines Based on the Mixed Kernel function. - Fulin Wu; Shifei Ding (J. Comput., 2014)

Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. - Fulin Wu; Shifei Ding; Huajuan Huang; Zhibin Zhu (J. Comput., 2014)

Reduced-reference image quality assessment through SIFT intensity ratio. - Tongfeng Sun; Shifei Ding; Wei Chen 036 (Int. J. Mach. Learn. Cybern., 2014)

An overview on nonparallel hyperplane support vector machine algorithms. - Shifei Ding; Xiaopeng Hua; Junzhao Yu (Neural Comput. Appl., 2014)

Research of semi-supervised spectral clustering algorithm based on pairwise constraints. - Shifei Ding; Hongjie Jia; Liwen Zhang; Fengxiang Jin (Neural Comput. Appl., 2014)

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network. - Shifei Ding; Gang Ma 001; Zhongzhi Shi (Neural Comput. Appl., 2014)

Wavelet twin support vector machine. - Shifei Ding; Fulin Wu; Zhongzhi Shi (Neural Comput. Appl., 2014)

Extreme learning machine and its applications. - Shifei Ding; Xinzheng Xu; Ru Nie (Neural Comput. Appl., 2014)

A density-adaptive affinity propagation clustering algorithm based on spectral dimension reduction. - Hongjie Jia; Shifei Ding; Lingheng Meng; Shuyan Fan (Neural Comput. Appl., 2014)

The latest research progress on spectral clustering. - Hongjie Jia; Shifei Ding; Xinzheng Xu; Ru Nie (Neural Comput. Appl., 2014)

A Rough RBF Neural Network Based on Weighted Regularized Extreme Learning Machine. - Shifei Ding; Gang Ma 001; Zhongzhi Shi (Neural Process. Lett., 2014)

Research on the hybrid models of granular computing and support vector machine. - Shifei Ding; Huajuan Huang; Junzhao Yu; Han Zhao (Artif. Intell. Rev., 2015)

Research on data stream clustering algorithms. - Shifei Ding; Fulin Wu; Jun Qian; Hongjie Jia; Fengxiang Jin (Artif. Intell. Rev., 2015)

Extreme learning machine: algorithm, theory and applications. - Shifei Ding; Han Zhao; Yanan Zhang 004; Xinzheng Xu; Ru Nie (Artif. Intell. Rev., 2015)

An optimized classification algorithm by BP neural network based on PLS and HCA. - Weikuan Jia; Dean Zhao; Tian Shen; Shifei Ding; Yuyan Zhao; Chanli Hu (Appl. Intell., 2015)

Self-Tuning p-Spectral Clustering Based on Shared Nearest Neighbors. - Hongjie Jia; Shifei Ding; Mingjing Du 001 (Cogn. Comput., 2015)

An adaptive extreme learning machine algorithm and its application on face recognition. - Jian Ni; Xinzheng Xu; Shifei Ding; Tongfeng Sun (Int. J. Comput. Sci. Math., 2015)

Mixed and Continuous Strategy Monitor-Forward Game Based Selective Forwarding Solution in WSN. - Hongmei Liao; Shifei Ding (Int. J. Distributed Sens. Networks, 2015)

Twice clustering based individual neural network generation method. - Shifei Ding; Hui Li (Neurocomputing, 2015)

Weighted least squares projection twin support vector machines with local information. - Xiaopeng Hua; Shifei Ding (Neurocomputing, 2015)

深度学习研究进展 (Research Progress on Deep Learning). - Lili Guo; Shifei Ding (计算机科学, 2015)

基于AP二次聚类的神经网络集成算法研究 (AP Twice Clustering Based Neural Network Ensemble Algorithm). - Hui Li; Shifei Ding (计算机科学, 2015)

A new method for constructing granular neural networks based on rule extraction and extreme learning machine. - Xinzheng Xu; Guanying Wang; Shifei Ding; Xiangying Jiang; Zuopeng Zhao (Pattern Recognit. Lett., 2015)

A resolution method for linguistic truth-valued intuitionistic fuzzy first-order logic. - Lin Xiao; Jia Meng 004; Shifei Ding; Li Zou (FUZZ-IEEE, 2016)

p-Spectral Clustering Based on Neighborhood Attribute Granulation. - Shifei Ding; Hongjie Jia; Mingjing Du 001; Qiankun Hu (IIP, 2016)

Boltzmann Machine and its Applications in Image Recognition. - Shifei Ding; Jian Zhang 019; Nan Zhang 014; Yanlu Hou (IIP, 2016)

A Novel Locally Multiple Kernel k-means Based on Similarity. - Shuyan Fan; Shifei Ding; Mingjing Du 001; Xiao Xu 006 (IIP, 2016)

Granular multiple birth support vector machine based on weighted linear loss. - Shifei Ding; Xiekai Zhang (IJCNN, 2016)

Multi layer ELM-RBF for multi-label learning. - Nan Zhang 014; Shifei Ding; Jian Zhang 019 (Appl. Soft Comput., 2016)

No-reference image quality assessment based on gradient histogram response. - Tongfeng Sun; Shifei Ding; Wei Chen 036; Xinzheng Xu (Comput. Electr. Eng., 2016)

An Adaptive Density Data Stream Clustering Algorithm. - Shifei Ding; Jian Zhang 019; Hongjie Jia; Jun Qian (Cogn. Comput., 2016)

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. - Li Xu; Shifei Ding; Xinzheng Xu; Nan Zhang 014 (Cogn. Comput., 2016)

Weight Uncertainty in Boltzmann Machine. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Yu Xue 004 (Cogn. Comput., 2016)

Denoising Laplacian multi-layer extreme learning machine. - Nan Zhang 014; Shifei Ding; Zhongzhi Shi (Neurocomputing, 2016)

Recent advances in Support Vector Machines. - Shifei Ding; Zhongzhi Shi; Dacheng Tao; Bo An 001 (Neurocomputing, 2016)

Research of multi-sided multi-granular neural network ensemble optimization method. - Hui Li; Xuesong Wang 001; Shifei Ding (Neurocomputing, 2016)

Approximate normalized cuts without Eigen-decomposition. - Hongjie Jia; Shifei Ding; Mingjing Du 001; Yu Xue 004 (Inf. Sci., 2016)

基于马氏距离的孪生多分类支持向量机 (Mahalanobis Distance-based Twin Multi-class Classification Support Vector Machine). - Xiekai Zhang; Shifei Ding (计算机科学, 2016)

基于属性区分能力和AP聚类的属性粒化方法 (Attribute Granulation Based on Attribute Discernibility and AP Clustering). - Hong Zhu 005; Shifei Ding (计算机科学, 2016)

Study on density peaks clustering based on k-nearest neighbors and principal component analysis. - Mingjing Du 001; Shifei Ding; Hongjie Jia (Knowl. Based Syst., 2016)

Twin support vector machines based on fruit fly optimization algorithm. - Shifei Ding; Xiekai Zhang; Junzhao Yu (Int. J. Mach. Learn. Cybern., 2016)

Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm. - Xiekai Zhang; Shifei Ding; Tongfeng Sun (Int. J. Mach. Learn. Cybern., 2016)

Incremental extreme learning machine based on deep feature embedded. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2016)

A wavelet extreme learning machine. - Shifei Ding; Jian Zhang 019; Xinzheng Xu; Yanan Zhang 004 (Neural Comput. Appl., 2016)

An overview on rough neural networks. - Hongmei Liao; Shifei Ding; Miaomiao Wang 006; Gang Ma 001 (Neural Comput. Appl., 2016)

Medical image registration based on self-adapting pulse-coupled neural networks and mutual information. - Guanying Wang; Xinzheng Xu; Xiangying Jiang; Shifei Ding (Neural Comput. Appl., 2016)

L-DP: A Hybrid Density Peaks Clustering Method. - Mingjing Du 001; Shifei Ding (DMBD, 2017)

Research on Point-wise Gated Deep Networks. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Yu Xue 004 (Appl. Soft Comput., 2017)

A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process. - Shifei Ding; Lingheng Meng; Youzhen Han; Yu Xue 004 (Cogn. Comput., 2017)

Fingerprint image super resolution using sparse representation with ridge pattern prior by classification coupled dictionaries. - Weixin Bian; Shifei Ding; Yu Xue 004 (IET Biom., 2017)

Combining Gabor filtering and classification dictionaries learning for fingerprint enhancement. - Shifei Ding; Weixin Bian; Hongmei Liao; Tongfeng Sun; Yu Xue 004 (IET Biom., 2017)

Wavelet twin support vector machines based on glowworm swarm optimization. - Shifei Ding; Yuexuan An; Xiekai Zhang; Fulin Wu; Yu Xue 004 (Neurocomputing, 2017)

An improved multiple birth support vector machine for pattern classification. - Xiekai Zhang; Shifei Ding; Yu Xue 004 (Neurocomputing, 2017)

Medical images segmentation based on improved three-dimensional pulse coupled neural network. - Maxin Wang; Xinzheng Xu; Guanying Wang; Shifei Ding; Tongfeng Sun (Int. J. Wirel. Mob. Comput., 2017)

Combining weighted linear project analysis with orientation diffusion for fingerprint orientation field reconstruction. - Weixin Bian; Shifei Ding; Yu Xue 004 (Inf. Sci., 2017)

Fingerprint enhancement rooted in the spectra diffusion by the aid of the 2D adaptive Chebyshev band-pass filter with orientation-selective. - Shifei Ding; Weixin Bian; Tongfeng Sun; Yu Xue 004 (Inf. Sci., 2017)

An entropy-based density peaks clustering algorithm for mixed type data employing fuzzy neighborhood. - Shifei Ding; Mingjing Du 001; Tongfeng Sun; Xiao Xu 006; Yu Xue 004 (Knowl. Based Syst., 2017)

Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data. - Nan Zhang 014; Shifei Ding (Memetic Comput., 2017)

Unsupervised extreme learning machine with representational features. - Shifei Ding; Nan Zhang 014; Jian Zhang 019; Xinzheng Xu; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2017)

Research on denoising sparse autoencoder. - Lingheng Meng; Shifei Ding; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2017)

Extreme learning machine with kernel model based on deep learning. - Shifei Ding; Lili Guo; Yanlu Hou (Neural Comput. Appl., 2017)

An overview on semi-supervised support vector machine. - Shifei Ding; Zhibin Zhu; Xiekai Zhang (Neural Comput. Appl., 2017)

Twin support vector machine: theory, algorithm and applications. - Shifei Ding; Nan Zhang 014; Xiekai Zhang; Fulin Wu (Neural Comput. Appl., 2017)

Pulse-coupled neural networks and parameter optimization methods. - Xinzheng Xu; Guanying Wang; Shifei Ding; Yuhu Cheng; Xuesong Wang 001 (Neural Comput. Appl., 2017)

Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification. - Shifei Ding; Xiekai Zhang; Yuexuan An; Yu Xue 004 (Pattern Recognit., 2017)

A novel density peaks clustering algorithm for mixed data. - Mingjing Du 001; Shifei Ding; Yu Xue 004 (Pattern Recognit. Lett., 2017)

A Nyström spectral clustering algorithm based on probability incremental sampling. - Hongjie Jia; Shifei Ding; Mingjing Du 001 (Soft Comput., 2017)

A Fast Density Peaks Clustering Algorithm Based on Pre-Screening. - Xiao Xu 006; Shifei Ding; Tongfeng Sun (BigComp, 2018)

Multi-view Restricted Boltzmann Machines with Posterior Consistency. - Shifei Ding; Nan Zhang 014; Jian Zhang 019 (IIP, 2018)

A K-AP Clustering Algorithm Based on Manifold Similarity Measure. - Hongjie Jia; Liangjun Wang; Heping Song; Qirong Mao; Shifei Ding (IIP, 2018)

Research and development of neural network ensembles: a survey. - Hui Li; Xuesong Wang 001; Shifei Ding (Artif. Intell. Rev., 2018)

Asynchronous reinforcement learning algorithms for solving discrete space path planning problems. - Xingyu Zhao 002; Shifei Ding; Yuexuan An; Weikuan Jia (Appl. Intell., 2018)

An image response framework for no-reference image quality assessment. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Comput. Electr. Eng., 2018)

Rank-Adaptive Non-Negative Matrix Factorization. - Dong Shan; Xinzheng Xu; Tianming Liang; Shifei Ding (Cogn. Comput., 2018)

NSCT-PCNN image fusion based on image gradient motivation. - Shifei Ding; Xingyu Zhao 002; Hui Xu; Qiangbo Zhu; Yu Xue 004 (IET Comput. Vis., 2018)

Collaborative filtering model for enhancing fingerprint image. - Weixin Bian; Shifei Ding; Weikuan Jia (IET Image Process., 2018)

Image segmentation algorithm based on superpixel clustering. - Lin Cong; Shifei Ding; Lijuan Wang; Aijuan Zhang; Weikuan Jia (IET Image Process., 2018)

An overview on probability undirected graphs and their applications in image processing. - Jian Zhang 019; Shifei Ding; Nan Zhang 014 (Neurocomputing, 2018)

An overview on Restricted Boltzmann Machines. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Yu Xue 004 (Neurocomputing, 2018)

A semi-supervised approximate spectral clustering algorithm based on HMRF model. - Shifei Ding; Hongjie Jia; Mingjing Du 001; Yu Xue 004 (Inf. Sci., 2018)

孪生支持向量机综述 (Twin Support Vector Machine: A Review). - Yuexuan An; Shifei Ding; Jipu Hu (计算机科学, 2018)

深度强化学习研究综述 (Research on Deep Reinforcement Learning). - Xingyu Zhao 002; Shifei Ding (计算机科学, 2018)

An improved density peaks clustering algorithm with fast finding cluster centers. - Xiao Xu 006; Shifei Ding; Zhongzhi Shi (Knowl. Based Syst., 2018)

An improved fingerprint orientation field extraction method based on quality grading scheme. - Weixin Bian; Shifei Ding; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

A robust density peaks clustering algorithm using fuzzy neighborhood. - Mingjing Du 001; Shifei Ding; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

Density peaks clustering using geodesic distances. - Mingjing Du 001; Shifei Ding; Xiao Xu 006; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

DPCG: an efficient density peaks clustering algorithm based on grid. - Xiao Xu 006; Shifei Ding; Mingjing Du 001; Yu Xue 004 (Int. J. Mach. Learn. Cybern., 2018)

Research of stacked denoising sparse autoencoder. - Lingheng Meng; Shifei Ding; Nan Zhang 014; Jian Zhang 019 (Neural Comput. Appl., 2018)

Discrete space reinforcement learning algorithm based on support vector machine classification. - Yuexuan An; Shifei Ding; Songhui Shi; Jingcan Li (Pattern Recognit. Lett., 2018)

Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors. - Shifei Ding; Xiao Xu 006; Shuyan Fan; Yu Xue 004 (Soft Comput., 2018)

Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm. - Shuyan Fan; Shifei Ding; Yu Xue 004 (Soft Comput., 2018)

An Improvement of Spectral Clustering via Message Passing and Density Sensitive Similarity. - Lijuan Wang; Shifei Ding; Hongjie Jia (IEEE Access, 2019)

A review on multi-class TWSVM. - Shifei Ding; Xingyu Zhao 002; Jian Zhang 019; Xiekai Zhang; Yu Xue 004 (Artif. Intell. Rev., 2019)

A comparative study of neural-network feature weighting. - Tongfeng Sun; Shifei Ding; Pin Li; Wei Chen 036 (Artif. Intell. Rev., 2019)

A new asynchronous reinforcement learning algorithm based on improved parallel PSO. - Shifei Ding; Wei Du 010; Xingyu Zhao 002; Lijuan Wang; Weikuan Jia (Appl. Intell., 2019)

An effective asynchronous framework for small scale reinforcement learning problems. - Shifei Ding; Xingyu Zhao 002; Xinzheng Xu; Tongfeng Sun; Weikuan Jia (Appl. Intell., 2019)

Single image super-resolution using a polymorphic parallel CNN. - Kai Zeng 009; Shifei Ding; Weikuan Jia (Appl. Intell., 2019)

Multimodal correlation deep belief networks for multi-view classification. - Nan Zhang 014; Shifei Ding; Hongmei Liao; Weikuan Jia (Appl. Intell., 2019)

Applications of asynchronous deep reinforcement learning based on dynamic updating weights. - Xingyu Zhao 002; Shifei Ding; Yuexuan An; Weikuan Jia (Appl. Intell., 2019)

Research Progress on Semi-Supervised Clustering. - Yue Qin; Shifei Ding; Lijuan Wang; Yanru Wang (Cogn. Comput., 2019)

The multi-tag semantic correlation used for micro-blog user interest modeling. - Yanru Wang; Shifei Ding; Xiao Xu 006; Weikuan Jia (Eng. Appl. Artif. Intell., 2019)

A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems. - Zichen Zhang 002; Shifei Ding; Weikuan Jia (Eng. Appl. Artif. Intell., 2019)

Multiple Birth Support Vector Machine with Triplet Loss Function. - Shi-Fei Ding; Yuexuan An (J. Inf. Sci. Eng., 2019)

多智能体强化学习综述 (Overview on Multi-agent Reinforcement Learning). - Wei Du 010; Shifei Ding (计算机科学, 2019)

半监督聚类综述 (Survey of Semi-supervised Clustering). - Yue Qin; Shifei Ding (计算机科学, 2019)

A novel density peaks clustering with sensitivity of local density and density-adaptive metric. - Mingjing Du 001; Shifei Ding; Yu Xue 004; Zhongzhi Shi (Knowl. Inf. Syst., 2019)

A multiway p-spectral clustering algorithm. - Shifei Ding; Lin Cong; Qiankun Hu; Hongjie Jia; Zhongzhi Shi (Knowl. Based Syst., 2019)

BEMD image fusion based on PCNN and compressed sensing. - Shifei Ding; Peng Du; Xingyu Zhao 002; Qiangbo Zhu; Yu Xue 004 (Soft Comput., 2019)

L1-norm loss-based projection twin support vector machine for binary classification. - Xiaopeng Hua; Sen Xu; Jun Gao; Shifei Ding (Soft Comput., 2019)

A feasible density peaks clustering algorithm with a merging strategy. - Xiao Xu 006; Shifei Ding; Hui Xu; Hongmei Liao; Yu Xue 004 (Soft Comput., 2019)

Link-Based Cluster Ensemble Method for Improved Meta-clustering Algorithm. - Changlong Shao; Shifei Ding (IIP, 2020)

Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning. - Lijuan Wang; Shifei Ding (IEEE Access, 2020)

Adversarial Training Methods for Boltzmann Machines. - Jian Zhang 019; Shifei Ding; Nan Zhang 014; Weikuan Jia (IEEE Access, 2020)

Multiple birth support vector machine based on recurrent neural networks. - Shifei Ding; Yuting Sun; Yuexuan An; Weikuan Jia (Appl. Intell., 2020)

Energy-based structural least squares MBSVM for classification. - Songhui Shi; Shifei Ding; Zichen Zhang 002; Weikuan Jia (Appl. Intell., 2020)

Research on fingerprint classification based on twin support vector machine. - Shifei Ding; Songhui Shi; Weikuan Jia (IET Image Process., 2020)

Super-pixel image segmentation algorithm based on adaptive equalisation feature parameters. - Shifei Ding; Lijuan Wang; Lin Cong (IET Image Process., 2020)

Research on adaptive local feature enhancement in convolutional neural networks. - Tongfeng Sun; Changlong Shao; Hongmei Liao; Shifei Ding; Xinzheng Xu (IET Image Process., 2020)

A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task. - Zichen Zhang 002; Shifei Ding; Yuting Sun (Neurocomputing, 2020)

Multi-view RBM with posterior consistency and domain adaptation. - Nan Zhang 014; Shifei Ding; Tongfeng Sun; Hongmei Liao; Lijuan Wang; Zhongzhi Shi (Inf. Sci., 2020)

A robust density peaks clustering algorithm with density-sensitive similarity. - Xiao Xu 006; Shifei Ding; Lijuan Wang; Yanru Wang (Knowl. Based Syst., 2020)

An adversarial non-volume preserving flow model with Boltzmann priors. - Jian Zhang 019; Shifei Ding; Weikuan Jia (Int. J. Mach. Learn. Cybern., 2020)

Robust spike-and-slab deep Boltzmann machines for face denoising. - Nan Zhang 014; Shifei Ding; Jian Zhang 019; Xingyu Zhao 002 (Neural Comput. Appl., 2020)

Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search. - Haotian Zhang; Shifei Ding; Weikuan Jia (Pattern Anal. Appl., 2020)

A novel prediction method of complex univariate time series based on k-means clustering. - Yunxin Liu; Shifei Ding; Weikuan Jia (Soft Comput., 2020)

Active constraint spectral clustering based on Hessian matrix. - Xiaoyu Wang; Shifei Ding; Weikuan Jia (Soft Comput., 2020)

A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications. - Wei Du 010; Shifei Ding (Artif. Intell. Rev., 2021)

A community detection algorithm based on Quasi-Laplacian centrality peaks clustering. - Tianhao Shi; Shifei Ding; Xiao Xu 006; Ling Ding 001 (Appl. Intell., 2021)

A novel clustering ensemble model based on granular computing. - Li Xu; Shifei Ding (Appl. Intell., 2021)

Chameleon algorithm based on improved natural neighbor graph generating sub-clusters. - Yuru Zhang; Shifei Ding; Yanru Wang; Haiwei Hou (Appl. Intell., 2021)

Chameleon algorithm based on mutual k-nearest neighbors. - Yuru Zhang; Shifei Ding; Lijuan Wang; Yanru Wang; Ling Ding 001 (Appl. Intell., 2021)

An optimized support vector regression for prediction of bearing degradation. - Chenglong Zhang 001; Shifei Ding; Yuting Sun; Zichen Zhang 002 (Appl. Soft Comput., 2021)

Parallel stochastic configuration networks for large-scale data regression. - Chenglong Zhang 001; Shifei Ding; Jian (Andrew) Zhang; Weikuan Jia (Appl. Soft Comput., 2021)

An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition. - Hongjie Jia; Liangjun Wang; Heping Song; Qirong Mao; Shifei Ding (Expert Syst. Appl., 2021)

SA-CapsGAN: Using Capsule Networks with embedded self-attention for Generative Adversarial Network. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001 (Neurocomputing, 2021)

A fast density peaks clustering algorithm with sparse search. - Xiao Xu 006; Shifei Ding; Yanru Wang; Lijuan Wang; Weikuan Jia (Inf. Sci., 2021)

MBSVR: Multiple birth support vector regression. - Zichen Zhang 002; Shifei Ding; Yuting Sun (Inf. Sci., 2021)

Dual-granularity weighted ensemble clustering. - Li Xu; Shifei Ding (Knowl. Based Syst., 2021)

A stochastic configuration network based on chaotic sparrow search algorithm. - Chenglong Zhang 001; Shifei Ding (Knowl. Based Syst., 2021)

A novel self-attention deep subspace clustering. - Zhengfan Chen; Shifei Ding; Haiwei Hou (Int. J. Mach. Learn. Cybern., 2021)

M-pSC: a manifold p-spectral clustering algorithm. - Ling Ding 001; Shifei Ding; Yanru Wang; Lijuan Wang; Hongjie Jia (Int. J. Mach. Learn. Cybern., 2021)

Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning. - Wei Du 010; Shifei Ding; Chenglong Zhang 001; Shuying Du (Int. J. Mach. Learn. Cybern., 2021)

A robust spectral clustering algorithm based on grid-partition and decision-graph. - Lijuan Wang; Shifei Ding; Yanru Wang; Ling Ding 001 (Int. J. Mach. Learn. Cybern., 2021)

An improved density-based adaptive p-spectral clustering algorithm. - Yanru Wang; Shifei Ding; Lijuan Wang; Ling Ding 001 (Int. J. Mach. Learn. Cybern., 2021)

An iterative stacked weighted auto-encoder. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Soft Comput., 2021)

An improved grid search algorithm to optimize SVR for prediction. - Yuting Sun; Shifei Ding; Zichen Zhang 002; Weikuan Jia (Soft Comput., 2021)

Blind video quality assessment based on multilevel video perception. - Tongfeng Sun; Shifei Ding; Wei Chen 036 (Signal Process. Image Commun., 2021)

An AdaBoost Based - Deep Stochastic Configuration Network. - Chenglong Zhang 001; Shifei Ding; Ling Ding 001 (IIP, 2022)

Fast density peaks clustering algorithm in polar coordinate system. - Chao Li; Shifei Ding; Xiao Xu 006; Shuying Du; Tianhao Shi (Appl. Intell., 2022)

A novel dense capsule network based on dense capsule layers. - Guangcong Sun; Shifei Ding; Tongfeng Sun; Chenglong Zhang 001; Wei Du 010 (Appl. Intell., 2022)

Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information. - Lili Guo; Longbiao Wang; Jianwu Dang 001; Yahui Fu; Jiaxing Liu; Shifei Ding (IEEE Multim., 2022)

Multiple birth support vector machine based on dynamic quantum particle swarm optimization algorithm. - Shifei Ding; Zichen Zhang 002; Yuting Sun; Songhui Shi (Neurocomputing, 2022)

Image Style Transfering Based on StarGAN and Class Encoder. - Xinzheng Xu; Jianying Chang; Shifei Ding (Int. J. Softw. Informatics, 2022)

An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit. - Shifei Ding; Zichen Zhang 002; Lili Guo; Yuting Sun (Inf. Sci., 2022)

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning. - Wei Du 010; Shifei Ding; Lili Guo; Jian Zhang 019; Chenglong Zhang 001; Ling Ding 001 (Inf. Sci., 2022)

Hypergraph regularized semi-supervised support vector machine. - Yuting Sun; Shifei Ding; Lili Guo; Zichen Zhang 002 (Inf. Sci., 2022)

Broad stochastic configuration network for regression. - Chenglong Zhang 001; Shifei Ding; Wei Du 010 (Knowl. Based Syst., 2022)

A deep clustering by multi-level feature fusion. - Haiwei Hou; Shifei Ding; Xiao Xu 006 (Int. J. Mach. Learn. Cybern., 2022)

Hypergraph based semi-supervised support vector machine for binary and multi-category classifications. - Yuting Sun; Shifei Ding; Zichen Zhang 002; Chenglong Zhang 001 (Int. J. Mach. Learn. Cybern., 2022)

A Gaussian RBM with binary auxiliary units. - Jian Zhang 019; Shifei Ding; Tongfeng Sun; Lili Guo (Int. J. Mach. Learn. Cybern., 2022)

Low-degree term first in ResNet, its variants and the whole neural network family. - Tongfeng Sun; Shifei Ding; Lili Guo (Neural Networks, 2022)

A manifold p-spectral clustering with sparrow search algorithm. - Yanru Wang; Shifei Ding; Lijuan Wang; Shuying Du (Soft Comput., 2022)

Broad learning system based ensemble deep model. - Chenglong Zhang 001; Shifei Ding; Lili Guo; Jian Zhang 019 (Soft Comput., 2022)

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU. - Qidong Wang; Lili Guo; Shifei Ding; Jian Zhang 019; Xiao Xu 006 (ICASSP, 2023)

Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization. - Wei Du 010; Shifei Ding (SEKE, 2023)

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. - Xiangnan Liu; Shifei Ding; Xiao Xu 006; Lijuan Wang (Appl. Soft Comput., 2023)

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution. - Lili Guo; Yanru Wang; Fanchao Wang; Ling Ding 001; Shifei Ding (Int. J. Mach. Learn. Cybern., 2023)

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression. - Shifei Ding; Chenglong Zhang 001; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Density peaks clustering algorithm based on improved similarity and allocation strategy. - Shifei Ding; Wei Du 010; Chao Li; Xiao Xu 006; Lijuan Wang; Ling Ding 001 (Int. J. Mach. Learn. Cybern., 2023)

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data. - Shifei Ding; Chao Li; Xiao Xu 006; Ling Ding 001; Jian Zhang 019; Lili Guo; Tianhao Shi (Pattern Recognit., 2023)

An improved density peaks clustering algorithm based on natural neighbor with a merging strategy. - Shifei Ding; Wei Du 010; Xiao Xu 006; Tianhao Shi; Yanru Wang; Chao Li (Inf. Sci., 2023)

Maximum density minimum redundancy based hypergraph regularized support vector regression. - Shifei Ding; Yuting Sun; Jian Zhang 019; Lili Guo; Xiao Xu 006; Zichen Zhang 002 (Int. J. Mach. Learn. Cybern., 2023)

A novel clustering algorithm based on multi-layer features and graph attention networks. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Ling Ding 001 (Soft Comput., 2023)

A novel capsule network based on deep routing and residual learning. - Jian Zhang 019; Qinghai Xu; Lili Guo; Ling Ding 001; Shifei Ding (Soft Comput., 2023)

Multi-agent dueling Q-learning with mean field and value decomposition. - Shifei Ding; Wei Du 010; Ling Ding 001; Lili Guo; Jian Zhang 019; Bo An 001 (Pattern Recognit., 2023)

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. - Ling Ding 001; Peng Du; Haiwei Hou; Jian Zhang 019; Di Jin 001; Shifei Ding (Big Data Res., 2023)

Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network. - Wei Du 010; Shifei Ding; Chenglong Zhang 001; Zhongzhi Shi (IEEE Trans. Neural Networks Learn. Syst., 2023)

FEMRNet: Feature-enhanced multi-scale residual network for image denoising. - Xiao Xu 006; Qidong Wang; Lili Guo; Jian Zhang 019; Shifei Ding (Appl. Intell., 2023)

Semi-supervised deep density clustering. - Xiao Xu 006; Haiwei Hou; Shifei Ding (Appl. Soft Comput., 2023)

Fast density peaks clustering algorithm based on improved mutual K-nearest-neighbor and sub-cluster merging. - Chao Li; Shifei Ding; Xiao Xu 006; Haiwei Hou; Ling Ding 001 (Inf. Sci., 2023)

Graph clustering network with structure embedding enhanced. - Shifei Ding; Benyu Wu; Xiao Xu 006; Lili Guo; Ling Ding 001 (Pattern Recognit., 2023)

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. - Shifei Ding; Wei Du 010; Ling Ding 001; Lili Guo; Jian Zhang 019 (AAAI, 2024)

Expressive Multi-Agent Communication via Identity-Aware Learning. - Wei Du 010; Shifei Ding; Lili Guo; Jian Zhang 019; Ling Ding 001 (AAAI, 2024)

Deep Friendly Embedding Space for Clustering. - Haiwei Hou; Shifei Ding; Xiao Xu 006; Lili Guo (IIP (1), 2024)

Synergistic Deep Graph Clustering Network. - Benyu Wu; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (CoRR, 2024)

Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation. - Lili Guo; Yikang Song; Shifei Ding (Knowl. Based Syst., 2024)

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features. - Tongfeng Sun; Xiurui Wang; Zhongnian Li; Shifei Ding (Neural Networks, 2024)

Survey of spectral clustering based on graph theory. - Ling Ding 001; Chao Li; Di Jin 001; Shifei Ding (Pattern Recognit., 2024)

Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising. - Shifei Ding; Qidong Wang; Lili Guo; Xuan Li 004; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Non-iterative border-peeling clustering algorithm based on swap strategy. - Hui Tu; Shifei Ding; Xiao Xu 006; Haiwei Hou; Chao Li; Ling Ding 001 (Inf. Sci., 2024)

A novel image denoising algorithm combining attention mechanism and residual UNet network. - Shifei Ding; Qidong Wang; Lili Guo; Jian Zhang 019; Ling Ding 001 (Knowl. Inf. Syst., 2024)

Fuzzy Twin Support Vector Machines With Distribution Inputs. - Zhizheng Liang; Shifei Ding (IEEE Trans. Fuzzy Syst., 2024)

Better value estimation in Q-learning-based multi-agent reinforcement learning. - Ling Ding 001; Wei Du 010; Jian Zhang 019; Lili Guo; Chenglong Zhang 001; Di Jin 001; Shifei Ding (Soft Comput., 2024)

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization. - Shifei Ding; Wei Du 010; Ling Ding 001; Jian Zhang 019; Lili Guo; Bo An 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO. - Youzhi Xiong; Shifei Ding; Sanshan Sun; Li Liu 049; Zhongpei Zhang; Songjie Yang; Ning Wei (IEEE Commun. Lett., 2024)

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems. - Lili Guo; Jianglan Zhu; Chenglong Zhang 001; Shifei Ding (IEEE Trans. Fuzzy Syst., 2024)

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder. - Shifei Ding; Benyu Wu; Ling Ding 001; Xiao Xu 006; Lili Guo; Hongmei Liao; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix. - Shifei Ding; Haiwei Hou; Xiao Xu 006; Jian Zhang 019; Lili Guo; Ling Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A novel robust semi-supervised stochastic configuration network for regression tasks with noise. - Shifei Ding; Zi Zhang; Li Xu; Chenglong Zhang 001; Lili Guo; Xuan Li 004 (Inf. Sci., 2025)

Multi-Agent policy gradients with dynamic weighted value decomposition. - Shifei Ding; Xiaomin Dong; Jian Zhang 019; Lili Guo; Wei Du 010; Chenglong Zhang 001 (Pattern Recognit., 2025)

Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity. - Jingxiao Zhang; Shifei Ding; Jian Zhang 019; Lili Guo; Ling Ding 001 (Pattern Recognit., 2025)

APIN: Amplitude- and phase-aware interaction network for speech emotion recognition. - Lili Guo; Jie Li 069; Shifei Ding; Jianwu Dang 001 (Speech Commun., 2025)

Horizontal Federated Density Peaks Clustering. - Shifei Ding; Chao Li; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition. - Lili Guo; Shifei Ding; Longbiao Wang; Jianwu Dang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. - Chao Li; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation. - Jie Li 069; Shifei Ding; Lili Guo; Xuan Li 004 (CoRR, 2025)

Parameter-Adaptive Border Peeling Clustering Algorithm. - Hui Tu; Shifei Ding; Xiao Xu 006; Lili Guo; Ling Ding 001; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Iterative update scheme for nonnegative and sparse linear autoencoders in recommendation. - Xuan Li 004; Shifei Ding (Inf. Process. Manag., 2026)

Learning multi-agent communication via graph contrastive learning. - Wei Du 010; Zhengfan Chen; Shifei Ding; Chenglong Zhang 001; Wei Guo 017; Yuqing Sun; Guoxian Yu; Lizhen Cui (Pattern Recognit., 2026)