Lin Shang

134 papers A* 3A 5B 26C 1Misc 4Journal 39Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Margin-Aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification.
IEEE Trans. Fuzzy Syst.
Suping Xu, Lin Shang, Keyu Liu, Hengrong Ju, Xibei Yang, Witold Pedrycz
2025 B conf
Decoding Emotions: How Graph Transformer with Adaptive Graph Structure Learning Understands Micro-Expressions.
FG
Xuanqi Cheng, Lin Shang
2025 A* conf
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.
AAAI
Qingyang Zeng, Lin Shang
2025 J jnl
Incomplete label distribution learning via label correlation decomposition.
Inf. Fusion
Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz
2025 J jnl
Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification.
CoRR
Suping Xu, Lin Shang, Keyu Liu, Hengrong Ju, Xibei Yang, Witold Pedrycz
2025 J jnl
Rethinking Label-specific Features for Label Distribution Learning.
CoRR
Suping Xu, Chuyi Dai, Lin Shang, Changbin Shao, Xibei Yang, Witold Pedrycz
2025 J jnl
S
CoRR
Suping Xu, Chuyi Dai, Ye Liu, Lin Shang, Xibei Yang, Witold Pedrycz
2024 J jnl
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang
2024 J jnl
An X-ray image classification method with fine-grained features for explainable diagnosis of pneumoconiosis.
Pers. Ubiquitous Comput.
Chunmei Zhang, Jia He, Lin Shang
2024 — conf
Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification.
LREC/COLING
Junjia Feng, Mingqian Lin, Lin Shang, Xiaoying Gao
2024 B conf
Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric.
IJCNN
Yehuan Wang, Jiefeng Long, Jian Hu, Lin Shang
2024 — conf
SASBO: Sparse Attack via Stochastic Binary Optimization.
PAKDD (1)
Yihan Meng, Weitao Li, Lin Shang
2024 B conf
Sparse Attack with Meta-Learning.
IJCNN
Weitao Li, Mingqian Lin, Yihan Meng, Yangdai Si, Lin Shang
2023 A conf
Accurate and Complete Captions for Question-controlled Text-aware Image Captioning.
ICME
Yehuan Wang, Jian Hu, Lin Shang
2023 — conf
Adv-Triplet Loss for Sparse Attack on Facial Expression Recognition.
PRICAI (3)
Weitao Li, Shijun Li, Lin Shang
2023 J jnl
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2023 B conf
DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features.
FG
Tianhao Wang, Mingyue Zhang, Lin Shang
2023 — conf
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming.
ICDM (Workshops)
Mingqian Lin, Lin Shang, Xiaoying Gao
2023 B conf
Improving Chinese Spelling Correction by Ranking.
IJCNN
Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang
2023 J jnl
Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW)
Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen
2023 J jnl
Temporal augmented contrastive learning for micro-expression recognition.
Pattern Recognit. Lett.
Tianhao Wang, Lin Shang
2022 — conf
All up to You: Controllable Video Captioning with a Masked Scene Graph.
PRICAI (3)
Zhen Yang, Lin Shang
2022 B conf
ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention.
IJCNN
Wenbiao Yin, Lin Shang
2022 A* conf
Efficient Nearest Neighbor Emotion Classification with BERT-whitening.
EMNLP
Wenbiao Yin, Lin Shang
2022 B conf
Generating Spatial-aware Captions for TextCaps.
ICPR
Yehuan Wang, Lin Shang
2022 J jnl
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2022 — conf
Hyperbolic Personalized Tag Recommendation.
DASFAA (2)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
2022 — conf
Improve Chinese Spelling Check by Reevaluation.
PAKDD (3)
Shuai Wang, Lin Shang
2022 — conf
Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction.
NLPCC (1)
Baopu Qiu, Lin Shang
2022 J jnl
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR
Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao
2021 — conf
"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification.
GECCO Companion
Yiming Li, Lin Shang
2021 — conf
A Calibration Method for Sentiment Time Series by Deep Clustering.
PRICAI (2)
Jingyi Wu, Baopu Qiu, Lin Shang
2021 J jnl
Attribute-driven image captioning via soft-switch pointer.
Pattern Recognit. Lett.
Yujie Zhou, Jiefeng Long, Suping Xu, Lin Shang
2021 J jnl
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 — conf
Few-Shot Crowd Counting via Self-supervised Learning.
PRICAI (3)
Jiefeng Long, Chun Li, Lin Shang
2021 A conf
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
GECCO
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 J jnl
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2021 — conf
MGEoT: A Multi-grained Ensemble Method for Time Series Classification.
PRICAI (1)
Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue
2021 B conf
Multi-granularity Pose Fusion Network with Views for Person Re-identification.
IJCNN
Yong Liu, Yiming Li, Andy Song, Lin Shang
2021 J jnl
Sentiment Time Series Calibration for Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process.
Jingyi Wu, Lin Shang, Xiaoying Gao
2020 B conf
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 — conf
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
GECCO Companion
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 — conf
Data-Free Adversarial Perturbations for Practical Black-Box Attack.
PAKDD (2)
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
2020 J jnl
Data-Free Adversarial Perturbations for Practical Black-Box Attack.
CoRR
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
2020 J jnl
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput.
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2020 J jnl
Label distribution learning: A local collaborative mechanism.
Int. J. Approx. Reason.
Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li
2020 — conf
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas.
PRCV (2)
Mingyue Zhang, Zhaoxin Huan, Lin Shang
2020 J jnl
Similarity-based attribute reduction in rough set theory: a clustering perspective.
Int. J. Mach. Learn. Cybern.
Xiuyi Jia, Ya Rao, Lin Shang, Tong-Jun Li
2019 — conf
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
SSCI
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang
2019 — conf
A Novel Thought of Pruning Algorithms: Pruning Based on Less Training.
PRICAI (2)
Yue Li, Weibin Zhao, Lin Shang
2019 J jnl
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model.
Inf. Sci.
Xiuyi Jia, Weiwei Li, Lin Shang
2019 — conf
Accurate Identification of Electrical Equipment from Power Load Profiles.
PAKDD (2)
Ziyi Wang, Chun Li, Lin Shang
2019 — conf
Dynamic Re-ranking with Deep Features Fusion for Person Re-identification.
PRICAI (2)
Yong Liu, Lin Shang, Andy Song
2019 — conf
Foreground Mask Guided Network for Crowd Counting.
PRICAI (2)
Chun Li, Lin Shang, Suping Xu
2019 B conf
Fuzzy Pruning for Compression of Convolutional Neural Networks.
FUZZ-IEEE
Weibin Zhao, Yue Li, Lin Shang
2019 B conf
Latent Feature Representation for Cohesive Community Detection Based on Convolutional Auto-Encoder.
Big Data (CCF)
Chun Li, Wenfeng Shi, Lin Shang
2019 A* conf
Latent Semantics Encoding for Label Distribution Learning.
IJCAI
Suping Xu, Lin Shang, Furao Shen
2019 B conf
Multi-task Learning with Bidirectional Language Models for Text Classification.
IJCNN
Qi Yang, Lin Shang
2019 B conf
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
CEC
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2019 — conf
RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method.
SSCI
Yiming Li, Aiqing He, Chengyan Wang, Lin Shang
2019 J jnl
Really should we pruning after model be totally trained? Pruning based on a small amount of training.
CoRR
Yue Li, Weibin Zhao, Lin Shang
2019 — conf
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
GECCO (Companion)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2018 J jnl
Adaptive Re-ranking of Deep Feature for Person Re-identification.
CoRR
Yong Liu, Lin Shang, Andy Song
2018 — conf
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Australasian Conference on Artificial Intelligence
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
2018 — conf
Model the Dynamic Evolution of Facial Expression from Image Sequences.
PAKDD (2)
Zhaoxin Huan, Lin Shang
2018 — conf
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes.
ICONIP (2)
Zeyu Mi, Lin Shang, Bing Xue
2017 — conf
Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images.
ICONIP (4)
Jia He, Lin Shang, Hong Ji, Xiuling Zhang
2017 — conf
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Australasian Conference on Artificial Intelligence
Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang
2017 A conf
PSO-based parameters selection for the bilateral filter in image denoising.
GECCO
Chengyan Wang, Bing Xue, Lin Shang
2017 J jnl
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).
计算机科学
Wenfeng Shi, Lin Shang
2016 J jnl
Generalized attribute reduct in rough set theory.
Knowl. Based Syst.
Xiuyi Jia, Lin Shang, Bing Zhou, Yiyu Yao
2016 A conf
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
GECCO
Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang
2016 Misc conf
Minimum cost attribute reduction in three-way decisions based Bayesian network.
ICMLC
Xiuyi Jia, Huaxiong Li, Lin Shang
2016 B conf
Multi-value image segmentation based on FCM algorithm and Graph Cut Theory.
FUZZ-IEEE
Mengting Xu, Min Guo, Lin Shang, Xiuyi Jia
2016 J jnl
Particle swarm optimization-based feature selection in sentiment classification.
Soft Comput.
Lin Shang, Zhe Zhou, Xing Liu
2016 B conf
Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning.
PRICAI
Junxin Tan, Mengting Xu, Lin Shang, Xiuyi Jia
2016 B conf
Using Canonical Correlation Analysis for Parallelized Attribute Reduction.
PRICAI
Ping Li, Mengting Xu, Jianyang Wu, Lin Shang
2015 — conf
A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm.
RSFDGrC
Weibin Zhao, Mengting Xu, Xiuyi Jia, Lin Shang
2015 — conf
How to Evaluate Three-Way Decisions Based Binary Classification?
RSFDGrC
Xiuyi Jia, Lin Shang
2015 — conf
Methods and Practices of Three-Way Decisions for Complex Problem Solving.
RSKT
Hong Yu, Guoyin Wang, Baoqing Hu, Xiuyi Jia, Huaxiong Li, Tianrui Li, Decui Liang, Jiye Liang, Baoxiang Liu, Dun Liu, Jianmin Ma, Duoqian Miao, Fan Min, Jian-Jun Qi, Lin Shang, Jiucheng Xu, Hailong Yang, JingTao Yao, Yiyu Yao, Hongying Zhang, Yanping Zhang, Yanhui Zhu
2015 — conf
Sentiment Analysis on Microblogging by Integrating Text and Image Features.
PAKDD (2)
Yaowen Zhang, Lin Shang, Xiuyi Jia
2014 — conf
A Method to Reduce Boundary Regions in Three-Way Decision Theory.
RSKT
Ping Li, Lin Shang, Huaxiong Li
2014 B conf
Anomaly detection in crowded scenes using genetic programming.
IEEE Congress on Evolutionary Computation
Cheng Xie, Lin Shang
2014 J jnl
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl.
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2014 B conf
Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm.
FUZZ-IEEE
Min Guo, Lin Shang
2014 — conf
Cost-Sensitive Sequential Three-Way Decision for Face Recognition.
RSEISP
Libo Zhang, Huaxiong Li, Xianzhong Zhou, Bing Huang, Lin Shang
2014 — conf
Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization.
SEAL
Zhe Zhou, Xing Liu, Ping Li, Lin Shang
2014 — conf
Fitness proportionate selection based binary particle swarm optimization.
GECCO (Companion)
Xing Liu, Lin Shang
2014 J jnl
On an optimization representation of decision-theoretic rough set model.
Int. J. Approx. Reason.
Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang
2014 — ed.
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings
RSCTC
Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang
2014 — conf
Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision.
RSKT
Zhe Zhou, Weibin Zhao, Lin Shang
2014 J jnl
Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email.
Trans. Rough Sets
Xiuyi Jia, Lin Shang
2013 B conf
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
EvoCOP
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2013 B conf
A fast wrapper feature subset selection method based on binary particle swarm optimization.
IEEE Congress on Evolutionary Computation
Xing Liu, Lin Shang
2013 B conf
Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
IEEE Congress on Evolutionary Computation
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2013 — conf
Fast Approximate Attribute Reduction with MapReduce.
RSKT
Ping Li, Jianyang Wu, Lin Shang
2013 J jnl
Maximum volume clustering: a new discriminative clustering approach.
J. Mach. Learn. Res.
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama
2013 J jnl
Minimum cost attribute reduction in decision-theoretic rough set models.
Inf. Sci.
Xiuyi Jia, Wenhe Liao, Zhenmin Tang, Lin Shang
2013 J jnl
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2013 — conf
Parallel Sentiment Polarity Classification Method with Substring Feature Reduction.
PAKDD Workshops
Yaowen Zhang, Xiaojun Xiang, Cunyan Yin, Lin Shang
2013 B conf
Selecting the appropriate fuzzy membership functions based on user-demand in fuzzy decision-theoretic rough set model.
FUZZ-IEEE
Min Guo, Lin Shang
2013 J jnl
Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes].
IEEE Comput. Intell. Mag.
Liang Zhao, Lin Shang, Yang Gao, Yubin Yang, Xiuyi Jia
2012 — conf
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Australasian Conference on Artificial Intelligence
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
2012 B conf
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
PRICAI
Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang
2012 J jnl
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci.
Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang
2012 B conf
Binary particle swarm optimisation for feature selection: A filter based approach.
IEEE Congress on Evolutionary Computation
Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang
2012 — conf
Granular Computing in Opinion Target Extraction.
RSKT
Jianyang Wu, Haipeng Wang, Xiaojun Xiang, Lin Shang
2012 B conf
Opinion Target Extraction for Short Comments.
PRICAI
Lin Shang, Haipeng Wang, Xinyu Dai, Mengjie Zhang
2012 — conf
Opponent's Style Modeling Based on Situations for Bayesian Poker.
Australasian Conference on Artificial Intelligence
Ruobing Li, Wenkai Li, Lin Shang, Yang Gao, Mengjie Zhang
2012 — conf
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study.
RSCTC
Xiuyi Jia, Kan Zheng, Weiwei Li, Tingting Liu, Lin Shang
2011 — conf
A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm.
ISVC (2)
Guang-Peng Chen, Yu-Bin Yang, Yao Zhang, Ling-Yan Pan, Yang Gao, Lin Shang
2011 — conf
An Optimization Viewpoint of Decision-Theoretic Rough Set Model.
RSKT
Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen
2011 — conf
Granular-Based Partial Periodic Pattern Discovery over Time Series Data.
RSKT
Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang
2011 — conf
Image Region Segmentation Based on Color Coherence Quantization.
IEA/AIE (1)
Guang-Nan He, Yubin Yang, Yao Zhang, Yang Gao, Lin Shang
2011 J jnl
Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations.
Int. J. Comput. Intell. Syst.
Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai
2011 A conf
Maximum Volume Clustering.
AISTATS
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama
2011 C conf
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model.
IDEAL
Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang
2011 J jnl
Transfer Learning via Multi-View Principal Component Analysis.
J. Comput. Sci. Technol.
Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xinyu Dai
2011 J jnl
Xcsc: a Novel Approach to Clustering with Extended Classifier System.
Int. J. Neural Syst.
Liangdong Shi, Yinghuan Shi, Yang Gao, Lin Shang, Yubin Yang
2010 — conf
Rough Margin Based Core Vector Machine.
PAKDD (1)
Gang Niu, Bo Dai, Lin Shang, Yangsheng Ji
2009 — conf
An Incremental Rule Induction Algorithm Based on Ordering Relations.
RSKT
Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai
2009 — conf
Finding Appropriate Turning Point for Text Sentiment Polarity.
ICONIP (2)
Haipeng Wang, Lin Shang, Xinyu Dai, Cunyan Yin
2009 Misc conf
MLOD: Multi-granularity local outlier detection.
GrC
Liang Gao, Shaoyue Yu, Yu-Pan Luo, Lin Shang
2008 — conf
Apply a Rough Set-Based Classifier to Dependency Parsing.
RSKT
Yangsheng Ji, Lin Shang, Xinyu Dai, Ruoce Ma
2008 — conf
Clustering with XCS on Complex Structure Dataset.
Australasian Conference on Artificial Intelligence
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang
2008 J jnl
Intelligent Systems in Nanjing University.
IEEE Intell. Informatics Bull.
Yang Gao, Lin Shang, Yubin Yang
2008 J jnl
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets
Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai
2007 — conf
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model.
RSFDGrC
Xiuyi Jia, Lin Shang, Yangsheng Ji, Weiwei Li
2007 — conf
ROGAND: A Discretization Model.
FSKD (1)
Lin Shang, Shaoyue Yu, Xiuyi Jia, Yangsheng Ji
2007 Misc conf
RoughTree A Classifier with Naive-Bayes and Rough Sets Hybrid in Decision Tree Representation.
GrC
Yangsheng Ji, Lin Shang
2006 — conf
A New Extension Model of Rough Sets Under Incomplete Information.
RSKT
Xuri Yin, Xiuyi Jia, Lin Shang
2006 Misc conf
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation.
GrC
Fei Chen, Lin Shang, Ming Li, Zhaoqian Chen, Shifu Chen
2005 — conf
Evolutionary Computation and Rough Set-Based Hybrid Approach to Rule Generation.
ICNC (3)
Lin Shang, Qiong Wan, Zhi-Hong Zhao, Shifu Chen
2004 B conf
Application of fuzzy classification by evolutionary neural network in incipient fault detection of power transformer.
IJCNN
Jingen Wang, Lin Shang, Shifu Chen, Yanfei Wang