Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer. - Jingen Wang 003; Lin Shang 001; Shifu Chen; Yanfei Wang (IJCNN, 2004)

Evolutionary Computation and Rough Set-Based Hybrid Approach to Rule Generation. - Lin Shang 001; Qiong Wan; Zhi-Hong Zhao; Shifu Chen (ICNC (3), 2005)

Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation. - Fei Chen; Lin Shang 001; Ming Li 005; Zhaoqian Chen; Shifu Chen (GrC, 2006)

A New Extension Model of Rough Sets Under Incomplete Information. - Xuri Yin; Xiuyi Jia; Lin Shang 001 (RSKT, 2006)

ROGAND: A Discretization Model. - Lin Shang 001; Shaoyue Yu; Xiuyi Jia; Yangsheng Ji (FSKD (1), 2007)

RoughTree A Classifier with Naive-Bayes and Rough Sets Hybrid in Decision Tree Representation. - Yangsheng Ji; Lin Shang 001 (GrC, 2007)

An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model. - Xiuyi Jia; Lin Shang 001; Yangsheng Ji; Weiwei Li 001 (RSFDGrC, 2007)

Clustering with XCS on Complex Structure Dataset. - Liangdong Shi; Yang Gao 001; Lei Wu; Lin Shang 001 (Australasian Conference on Artificial Intelligence, 2008)

Apply a Rough Set-Based Classifier to Dependency Parsing. - Yangsheng Ji; Lin Shang 001; Xinyu Dai; Ruoce Ma (RSKT, 2008)

Intelligent Systems in Nanjing University. - Yang Gao 001; Lin Shang 001; Yubin Yang (IEEE Intell. Informatics Bull., 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)

MLOD: Multi-granularity local outlier detection. - Liang Gao; Shaoyue Yu; Yu-Pan Luo; Lin Shang 001 (GrC, 2009)

Finding Appropriate Turning Point for Text Sentiment Polarity. - Haipeng Wang; Lin Shang 001; Xinyu Dai; Cunyan Yin (ICONIP (2), 2009)

An Incremental Rule Induction Algorithm Based on Ordering Relations. - Xiuyi Jia; Lin Shang 001; Jiajun Chen 001; Xinyu Dai (RSKT, 2009)

Rough Margin Based Core Vector Machine. - Gang Niu 001; Bo Dai 001; Lin Shang 001; Yangsheng Ji (PAKDD (1), 2010)

P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. - Yan Jin; Yang Gao 001; Yinghuan Shi; Lin Shang 001; Ruili Wang; Yubin Yang (IDEAL, 2011)

Image Region Segmentation Based on Color Coherence Quantization. - Guang-Nan He; Yubin Yang; Yao Zhang 002; Yang Gao 001; Lin Shang 001 (IEA/AIE (1), 2011)

A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm. - Guang-Peng Chen; Yu-Bin Yang; Yao Zhang 002; Ling-Yan Pan; Yang Gao 001; Lin Shang 001 (ISVC (2), 2011)

An Optimization Viewpoint of Decision-Theoretic Rough Set Model. - Xiuyi Jia; Weiwei Li 001; Lin Shang 001; Jiajun Chen 001 (RSKT, 2011)

Granular-Based Partial Periodic Pattern Discovery over Time Series Data. - Aibao Luo; Xiuyi Jia; Lin Shang 001; Yang Gao 001; Yubin Yang (RSKT, 2011)

Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations. - Xiuyi Jia; Lin Shang 001; Jiajun Chen 001; Xinyu Dai (Int. J. Comput. Intell. Syst., 2011)

Xcsc: a Novel Approach to Clustering with Extended Classifier System. - Liangdong Shi; Yinghuan Shi; Yang Gao 001; Lin Shang 001; Yubin Yang (Int. J. Neural Syst., 2011)

Transfer Learning via Multi-View Principal Component Analysis. - Yangsheng Ji; Jiajun Chen 001; Gang Niu 001; Lin Shang 001; Xinyu Dai (J. Comput. Sci. Technol., 2011)

Maximum Volume Clustering. - Gang Niu 001; Bo Dai 001; Lin Shang 001; Masashi Sugiyama (AISTATS, 2011)

A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2012)

Opponent's Style Modeling Based on Situations for Bayesian Poker. - Ruobing Li; Wenkai Li; Lin Shang 001; Yang Gao 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2012)

Binary particle swarm optimisation for feature selection: A filter based approach. - Liam Cervante; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001 (IEEE Congress on Evolutionary Computation, 2012)

Opinion Target Extraction for Short Comments. - Lin Shang 001; Haipeng Wang; Xinyu Dai; Mengjie Zhang 001 (PRICAI, 2012)

A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. - Bing Xue 001; Liam Cervante; Lin Shang 001; Mengjie Zhang 001 (PRICAI, 2012)

Three-Way Decisions Solution to Filter Spam Email: An Empirical Study. - Xiuyi Jia; Kan Zheng; Weiwei Li 001; Tingting Liu; Lin Shang 001 (RSCTC, 2012)

Granular Computing in Opinion Target Extraction. - Jianyang Wu; Haipeng Wang; Xiaojun Xiang; Lin Shang 001 (RSKT, 2012)

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Connect. Sci., 2012)

Binary particle swarm optimisation and rough set theory for dimension reduction in classification. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2013)

A fast wrapper feature subset selection method based on binary particle swarm optimization. - Xing Liu; Lin Shang 001 (IEEE Congress on Evolutionary Computation, 2013)

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. - Liam Cervante; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (EvoCOP, 2013)

Selecting the appropriate fuzzy membership functions based on user-demand in fuzzy decision-theoretic rough set model. - Min Guo; Lin Shang 001 (FUZZ-IEEE, 2013)

Parallel Sentiment Polarity Classification Method with Substring Feature Reduction. - Yaowen Zhang; Xiaojun Xiang; Cunyan Yin; Lin Shang 001 (PAKDD Workshops, 2013)

Fast Approximate Attribute Reduction with MapReduce. - Ping Li 062; Jianyang Wu; Lin Shang 001 (RSKT, 2013)

Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]. - Liang Zhao; Lin Shang 001; Yang Gao 001; Yubin Yang; Xiuyi Jia (IEEE Comput. Intell. Mag., 2013)

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Int. J. Artif. Intell. Tools, 2013)

Minimum cost attribute reduction in decision-theoretic rough set models. - Xiuyi Jia; Wenhe Liao; Zhenmin Tang; Lin Shang 001 (Inf. Sci., 2013)

Maximum volume clustering: a new discriminative clustering approach. - Gang Niu 001; Bo Dai 001; Lin Shang 001; Masashi Sugiyama (J. Mach. Learn. Res., 2013)

Anomaly detection in crowded scenes using genetic programming. - Cheng Xie; Lin Shang 001 (IEEE Congress on Evolutionary Computation, 2014)

Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm. - Min Guo; Lin Shang 001 (FUZZ-IEEE, 2014)

Fitness proportionate selection based binary particle swarm optimization. - Xing Liu; Lin Shang 001 (GECCO (Companion), 2014)

Cost-Sensitive Sequential Three-Way Decision for Face Recognition. - Libo Zhang 006; Huaxiong Li; Xianzhong Zhou; Bing Huang; Lin Shang 001 (RSEISP, 2014)

A Method to Reduce Boundary Regions in Three-Way Decision Theory. - Ping Li 062; Lin Shang 001; Huaxiong Li (RSKT, 2014)

Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision. - Zhe Zhou; Weibin Zhao; Lin Shang 001 (RSKT, 2014)

Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization. - Zhe Zhou; Xing Liu; Ping Li 062; Lin Shang 001 (SEAL, 2014)

On an optimization representation of decision-theoretic rough set model. - Xiuyi Jia; Zhenmin Tang; Wenhe Liao; Lin Shang 001 (Int. J. Approx. Reason., 2014)

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. - Bing Xue 001; Liam Cervante; Lin Shang 001; Will N. Browne; Mengjie Zhang 001 (Int. J. Comput. Intell. Appl., 2014)

Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email. - Xiuyi Jia; Lin Shang 001 (Trans. Rough Sets, 2014)

Sentiment Analysis on Microblogging by Integrating Text and Image Features. - Yaowen Zhang; Lin Shang 001; Xiuyi Jia (PAKDD (2), 2015)

How to Evaluate Three-Way Decisions Based Binary Classification? - Xiuyi Jia; Lin Shang 001 (RSFDGrC, 2015)

A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm. - Weibin Zhao; Mengting Xu; Xiuyi Jia; Lin Shang 001 (RSFDGrC, 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)

Multi-value image segmentation based on FCM algorithm and Graph Cut Theory. - Mengting Xu; Min Guo; Lin Shang 001; Xiuyi Jia (FUZZ-IEEE, 2016)

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. - Qi Chen 002; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO, 2016)

Minimum cost attribute reduction in three-way decisions based Bayesian network. - Xiuyi Jia; Huaxiong Li; Lin Shang 001 (ICMLC, 2016)

Using Canonical Correlation Analysis for Parallelized Attribute Reduction. - Ping Li 062; Mengting Xu; Jianyang Wu; Lin Shang 001 (PRICAI, 2016)

Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning. - Junxin Tan; Mengting Xu; Lin Shang 001; Xiuyi Jia (PRICAI, 2016)

Generalized attribute reduct in rough set theory. - Xiuyi Jia; Lin Shang 001; Bing Zhou 002; Yiyu Yao (Knowl. Based Syst., 2016)

Particle swarm optimization-based feature selection in sentiment classification. - Lin Shang 001; Zhe Zhou; Xing Liu (Soft Comput., 2016)

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. - Jiatong Huo; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2017)

PSO-based parameters selection for the bilateral filter in image denoising. - Chengyan Wang; Bing Xue 001; Lin Shang 001 (GECCO, 2017)

Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images. - Jia He; Lin Shang 001; Hong Ji; Xiuling Zhang (ICONIP (4), 2017)

一种基于决策粗糙集的模糊C均值聚类数的确定方法 (Determining Clustering Number of FCM Algorithm Based on DTRS). - Wenfeng Shi; Lin Shang 001 (计算机科学, 2017)

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. - Zeyu Mi; Lin Shang 001; Bing Xue 001 (ICONIP (2), 2018)

Model the Dynamic Evolution of Facial Expression from Image Sequences. - Zhaoxin Huan; Lin Shang 001 (PAKDD (2), 2018)

Adaptive Re-ranking of Deep Feature for Person Re-identification. - Yong Liu; Lin Shang 001; Andy Song (CoRR, 2018)

Latent Feature Representation for Cohesive Community Detection Based on Convolutional Auto-Encoder. - Chun Li; Wenfeng Shi; Lin Shang 001 (Big Data (CCF), 2019)

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (CEC, 2019)

Fuzzy Pruning for Compression of Convolutional Neural Networks. - Weibin Zhao; Yue Li; Lin Shang 001 (FUZZ-IEEE, 2019)

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO (Companion), 2019)

Latent Semantics Encoding for Label Distribution Learning. - Suping Xu; Lin Shang 001; Furao Shen (IJCAI, 2019)

Multi-task Learning with Bidirectional Language Models for Text Classification. - Qi Yang; Lin Shang 001 (IJCNN, 2019)

Accurate Identification of Electrical Equipment from Power Load Profiles. - Ziyi Wang; Chun Li; Lin Shang 001 (PAKDD (2), 2019)

Foreground Mask Guided Network for Crowd Counting. - Chun Li; Lin Shang 001; Suping Xu (PRICAI (2), 2019)

A Novel Thought of Pruning Algorithms: Pruning Based on Less Training. - Yue Li; Weibin Zhao; Lin Shang 001 (PRICAI (2), 2019)

Dynamic Re-ranking with Deep Features Fusion for Person Re-identification. - Yong Liu; Lin Shang 001; Andy Song (PRICAI (2), 2019)

RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method. - Yiming Li 006; Aiqing He; Chengyan Wang; Lin Shang 001 (SSCI, 2019)

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. - Wenbin Pei; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001 (SSCI, 2019)

Really should we pruning after model be totally trained? Pruning based on a small amount of training. - Yue Li; Weibin Zhao; Lin Shang 001 (CoRR, 2019)

A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model. - Xiuyi Jia; Weiwei Li 001; Lin Shang 001 (Inf. Sci., 2019)

A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (CEC, 2020)

A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO Companion, 2020)

Data-Free Adversarial Perturbations for Practical Black-Box Attack. - Zhaoxin Huan; Yulong Wang; Xiaolu Zhang; Lin Shang 001; Chilin Fu; Jun Zhou 011 (PAKDD (2), 2020)

Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. - Mingyue Zhang; Zhaoxin Huan; Lin Shang 001 (PRCV (2), 2020)

Label distribution learning: A local collaborative mechanism. - Suping Xu; Hengrong Ju; Lin Shang 001; Witold Pedrycz; Xibei Yang; Chun Li (Int. J. Approx. Reason., 2020)

Similarity-based attribute reduction in rough set theory: a clustering perspective. - Xiuyi Jia; Ya Rao; Lin Shang 001; Tong-Jun Li (Int. J. Mach. Learn. Cybern., 2020)

Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Soft Comput., 2020)

"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification. - Yiming Li 006; Lin Shang 001 (GECCO Companion, 2021)

Genetic programming for borderline instance detection in high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (GECCO, 2021)

Multi-granularity Pose Fusion Network with Views for Person Re-identification. - Yong Liu; Yiming Li 006; Andy Song; Lin Shang 001 (IJCNN, 2021)

Few-Shot Crowd Counting via Self-supervised Learning. - Jiefeng Long; Chun Li; Lin Shang 001 (PRICAI (3), 2021)

MGEoT: A Multi-grained Ensemble Method for Time Series Classification. - Ziyi Wang; Yujie Zhou; Chun Li; Lin Shang 001; Bing Xue 001 (PRICAI (1), 2021)

A Calibration Method for Sentiment Time Series by Deep Clustering. - Jingyi Wu; Baopu Qiu; Lin Shang 001 (PRICAI (2), 2021)

Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Appl. Soft Comput., 2021)

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2021)

Attribute-driven image captioning via soft-switch pointer. - Yujie Zhou; Jiefeng Long; Suping Xu; Lin Shang 001 (Pattern Recognit. Lett., 2021)

Sentiment Time Series Calibration for Event Detection. - Jingyi Wu; Lin Shang 001; Xiaoying Gao (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Hyperbolic Personalized Tag Recommendation. - Weibin Zhao; Aoran Zhang 001; Lin Shang 001; Yonghong Yu; Li Zhang 013; Can Wang 004; Jiajun Chen 001; Hongzhi Yin (DASFAA (2), 2022)

Efficient Nearest Neighbor Emotion Classification with BERT-whitening. - Wenbiao Yin; Lin Shang 001 (EMNLP, 2022)

Generating Spatial-aware Captions for TextCaps. - Yehuan Wang; Lin Shang 001 (ICPR, 2022)

ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention. - Wenbiao Yin; Lin Shang 001 (IJCNN, 2022)

Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction. - Baopu Qiu; Lin Shang 001 (NLPCC (1), 2022)

Improve Chinese Spelling Check by Reevaluation. - Shuai Wang; Lin Shang 001 (PAKDD (3), 2022)

All up to You: Controllable Video Captioning with a Masked Scene Graph. - Zhen Yang; Lin Shang 001 (PRICAI (3), 2022)

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. - Baopu Qiu; Liang Ding 006; Di Wu; Lin Shang 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (Evol. Comput., 2022)

DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features. - Tianhao Wang 024; Mingyue Zhang; Lin Shang 001 (FG, 2023)

Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. - Mingqian Lin; Lin Shang 001; Xiaoying Gao (ICDM (Workshops), 2023)

Accurate and Complete Captions for Question-controlled Text-aware Image Captioning. - Yehuan Wang; Jian Hu; Lin Shang 001 (ICME, 2023)

Improving Chinese Spelling Correction by Ranking. - Jun Feng 003; Shuai Wang; Wenbiao Yin; Lin Shang 001 (IJCNN, 2023)

Adv-Triplet Loss for Sparse Attack on Facial Expression Recognition. - Weitao Li; Shijun Li; Lin Shang 001 (PRICAI (3), 2023)

Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. - Wenbin Pei; Bing Xue 001; Lin Shang 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2023)

Personalized tag recommendation via denoising auto-encoder. - Weibin Zhao; Lin Shang 001; Yonghong Yu; Li Zhang 013; Can Wang 004; Jiajun Chen 001 (World Wide Web (WWW), 2023)

Temporal augmented contrastive learning for micro-expression recognition. - Tianhao Wang 024; Lin Shang 001 (Pattern Recognit. Lett., 2023)

Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification. - Junjia Feng; Mingqian Lin; Lin Shang 001; Xiaoying Gao (LREC/COLING, 2024)

Sparse Attack with Meta-Learning. - Weitao Li; Mingqian Lin; Yihan Meng; Yangdai Si; Lin Shang 001 (IJCNN, 2024)

Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric. - Yehuan Wang; Jiefeng Long; Jian Hu; Lin Shang 001 (IJCNN, 2024)

SASBO: Sparse Attack via Stochastic Binary Optimization. - Yihan Meng; Weitao Li; Lin Shang 001 (PAKDD (1), 2024)

A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? - Wenbin Pei; Bing Xue 001; Mengjie Zhang 001; Lin Shang 001; Xin Yao 001; Qiang Zhang 008 (IEEE Trans. Evol. Comput., 2024)

Incomplete label distribution learning via label correlation decomposition. - Suping Xu; Lin Shang 001; Furao Shen; Xibei Yang; Witold Pedrycz (Inf. Fusion, 2025)

Rethinking Label-specific Features for Label Distribution Learning. - Suping Xu; Chuyi Dai; Lin Shang 001; Changbin Shao; Xibei Yang; Witold Pedrycz (CoRR, 2025)

Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. - Suping Xu; Lin Shang 001; Keyu Liu; Hengrong Ju; Xibei Yang; Witold Pedrycz (CoRR, 2025)