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ORCIDLin Shang 0001
商琳
Person information
- unicode name: 商琳
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
Other persons with the same name
- Lin Shang — disambiguation page
- Lin Shang 0002
![[0000-0003-0796-733X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0796-733X")
— Qingdao University, Qingdao, China - Lin Shang 0003 — Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, China (and 2 more)
- Lin Shang 0004 — Beijing Jiaotong University, Beijing, China
- Lin Shang 0005 — Robert Gordon University, Aberdeen, UK
Other persons with a similar name
- Shang-Lin Chen
- Shang-Lin Chiang
- Shang-Lin Hsieh
- Chen-Shang Lin
- Shang-Chih Lin
- Shang-Hung Lin
- Shangwei Lin 0001 (aka: Shang-Wei Lin 0001) — Nanyang Technological University, College of Engineering, Singapore (and 1 more)
- Han Lin Shang
- You-lin Shang
- Shang-Lin Wu
- show all similar names
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2020 – today
- 2025
[j30]Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025)- 2024
- [j29]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang:
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28(2): 353-373 (2024) - [c91]Junjia Feng, Mingqian Lin, Lin Shang, Xiaoying Gao:
Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification. LREC/COLING 2024: 1996-2005 - [c90]Weitao Li, Mingqian Lin, Yihan Meng, Yangdai Si, Lin Shang:
Sparse Attack with Meta-Learning. IJCNN 2024: 1-8 - [c89]Yehuan Wang, Jiefeng Long, Jian Hu, Lin Shang:
Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric. IJCNN 2024: 1-7 - [c88]Yihan Meng, Weitao Li, Lin Shang:
SASBO: Sparse Attack via Stochastic Binary Optimization. PAKDD (1) 2024: 117-129 - 2023
- [j28]Tianhao Wang, Lin Shang:
Temporal augmented contrastive learning for micro-expression recognition. Pattern Recognit. Lett. 167: 122-131 (2023) - [j27]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27(4): 1130-1144 (2023) - [j26]Weibin Zhao, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen:
Personalized tag recommendation via denoising auto-encoder. World Wide Web (WWW) 26(1): 95-114 (2023) - [c87]Tianhao Wang, Mingyue Zhang, Lin Shang:
DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features. FG 2023: 1-8 - [c86]Mingqian Lin, Lin Shang, Xiaoying Gao:
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. ICDM (Workshops) 2023: 371-378 - [c85]Yehuan Wang, Jian Hu, Lin Shang:
Accurate and Complete Captions for Question-controlled Text-aware Image Captioning. ICME 2023: 2795-2800 - [c84]Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang:
Improving Chinese Spelling Correction by Ranking. IJCNN 2023: 1-6 - [c83]Weitao Li, Shijun Li, Lin Shang:
Adv-Triplet Loss for Sparse Attack on Facial Expression Recognition. PRICAI (3) 2023: 234-239 - 2022
- [j25]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022) - [c82]Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin:
Hyperbolic Personalized Tag Recommendation. DASFAA (2) 2022: 216-231 - [c81]Wenbiao Yin, Lin Shang:
Efficient Nearest Neighbor Emotion Classification with BERT-whitening. EMNLP 2022: 4738-4745 - [c80]Yehuan Wang, Lin Shang:
Generating Spatial-aware Captions for TextCaps. ICPR 2022: 379-385 - [c79]Wenbiao Yin, Lin Shang:
ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention. IJCNN 2022: 1-8 - [c78]Baopu Qiu, Lin Shang:
Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction. NLPCC (1) 2022: 577-590 - [c77]Shuai Wang, Lin Shang:
Improve Chinese Spelling Check by Reevaluation. PAKDD (3) 2022: 237-248 - [c76]Zhen Yang, Lin Shang:
All up to You: Controllable Video Captioning with a Masked Scene Graph. PRICAI (3) 2022: 325-337 - [i4]Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao:
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. CoRR abs/2212.10257 (2022) - 2021
- [j24]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. Appl. Soft Comput. 101: 106989 (2021) - [j23]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. IEEE Comput. Intell. Mag. 16(1): 84-98 (2021) - [j22]Yujie Zhou, Jiefeng Long, Suping Xu, Lin Shang:
Attribute-driven image captioning via soft-switch pointer. Pattern Recognit. Lett. 152: 34-41 (2021) - [j21]Jingyi Wu, Lin Shang, Xiaoying Gao:
Sentiment Time Series Calibration for Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2407-2420 (2021) - [c75]Yiming Li, Lin Shang:
"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification. GECCO Companion 2021: 255-256 - [c74]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO 2021: 349-357 - [c73]Yong Liu, Yiming Li, Andy Song, Lin Shang:
Multi-granularity Pose Fusion Network with Views for Person Re-identification. IJCNN 2021: 1-8 - [c72]Jingyi Wu, Baopu Qiu, Lin Shang:
A Calibration Method for Sentiment Time Series by Deep Clustering. PRICAI (2) 2021: 3-16 - [c71]Jiefeng Long, Chun Li, Lin Shang:
Few-Shot Crowd Counting via Self-supervised Learning. PRICAI (3) 2021: 379-390 - [c70]Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue:
MGEoT: A Multi-grained Ensemble Method for Time Series Classification. PRICAI (1) 2021: 397-410 - 2020
- [j20]Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li:
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121: 59-84 (2020) - [j19]Xiuyi Jia, Ya Rao, Lin Shang, Tong-Jun Li:
Similarity-based attribute reduction in rough set theory: a clustering perspective. Int. J. Mach. Learn. Cybern. 11(5): 1047-1060 (2020) - [j18]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. Soft Comput. 24(23): 18021-18038 (2020) - [c69]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC 2020: 1-8 - [c68]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. GECCO Companion 2020: 149-150 - [c67]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) 2020: 127-138 - [c66]Mingyue Zhang, Zhaoxin Huan, Lin Shang:
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. PRCV (2) 2020: 531-543 - [i3]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR abs/2003.01295 (2020)
2010 – 2019
- 2019
- [j17]Xiuyi Jia, Weiwei Li, Lin Shang:
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model. Inf. Sci. 485: 248-262 (2019) - [c65]Chun Li, Wenfeng Shi, Lin Shang:
Latent Feature Representation for Cohesive Community Detection Based on Convolutional Auto-Encoder. Big Data (CCF) 2019: 380-394 - [c64]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC 2019: 2779-2786 - [c63]Weibin Zhao, Yue Li, Lin Shang:
Fuzzy Pruning for Compression of Convolutional Neural Networks. FUZZ-IEEE 2019: 1-5 - [c62]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. GECCO (Companion) 2019: 187-188 - [c61]Suping Xu, Lin Shang, Furao Shen:
Latent Semantics Encoding for Label Distribution Learning. IJCAI 2019: 3982-3988 - [c60]Qi Yang, Lin Shang:
Multi-task Learning with Bidirectional Language Models for Text Classification. IJCNN 2019: 1-8 - [c59]Ziyi Wang, Chun Li, Lin Shang:
Accurate Identification of Electrical Equipment from Power Load Profiles. PAKDD (2) 2019: 43-55 - [c58]Yue Li, Weibin Zhao, Lin Shang:
A Novel Thought of Pruning Algorithms: Pruning Based on Less Training. PRICAI (2) 2019: 136-148 - [c57]Yong Liu, Lin Shang, Andy Song:
Dynamic Re-ranking with Deep Features Fusion for Person Re-identification. PRICAI (2) 2019: 201-213 - [c56]Chun Li, Lin Shang, Suping Xu:
Foreground Mask Guided Network for Crowd Counting. PRICAI (2) 2019: 322-334 - [c55]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang:
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI 2019: 1770-1777 - [c54]Yiming Li, Aiqing He, Chengyan Wang, Lin Shang:
RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method. SSCI 2019: 1786-1792 - [i2]Yue Li, Weibin Zhao, Lin Shang:
Really should we pruning after model be totally trained? Pruning based on a small amount of training. CoRR abs/1901.08455 (2019) - 2018
- [c53]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. Australasian Conference on Artificial Intelligence 2018: 643-655 - [c52]Zeyu Mi, Lin Shang, Bing Xue:
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. ICONIP (2) 2018: 486-497 - [c51]Zhaoxin Huan, Lin Shang:
Model the Dynamic Evolution of Facial Expression from Image Sequences. PAKDD (2) 2018: 546-557 - [i1]Yong Liu, Lin Shang, Andy Song:
Adaptive Re-ranking of Deep Feature for Person Re-identification. CoRR abs/1811.08561 (2018) - 2017
- [j16]Wenfeng Shi, Lin Shang:
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 44(9): 45-48 (2017) - [c50]Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. Australasian Conference on Artificial Intelligence 2017: 169-181 - [c49]Chengyan Wang, Bing Xue, Lin Shang:
PSO-based parameters selection for the bilateral filter in image denoising. GECCO 2017: 51-58 - [c48]Jia He, Lin Shang, Hong Ji, Xiuling Zhang:
Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images. ICONIP (4) 2017: 742-751 - 2016
- [j15]Xiuyi Jia, Lin Shang, Bing Zhou, Yiyu Yao:
Generalized attribute reduct in rough set theory. Knowl. Based Syst. 91: 204-218 (2016) - [j14]Lin Shang, Zhe Zhou, Xing Liu:
Particle swarm optimization-based feature selection in sentiment classification. Soft Comput. 20(10): 3821-3834 (2016) - [c47]Mengting Xu, Min Guo, Lin Shang, Xiuyi Jia:
Multi-value image segmentation based on FCM algorithm and Graph Cut Theory. FUZZ-IEEE 2016: 1333-1340 - [c46]Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang:
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO 2016: 709-716 - [c45]Xiuyi Jia, Huaxiong Li, Lin Shang:
Minimum cost attribute reduction in three-way decisions based Bayesian network. ICMLC 2016: 129-134 - [c44]Ping Li, Mengting Xu, Jianyang Wu, Lin Shang:
Using Canonical Correlation Analysis for Parallelized Attribute Reduction. PRICAI 2016: 433-445 - [c43]Junxin Tan, Mengting Xu, Lin Shang, Xiuyi Jia:
Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning. PRICAI 2016: 496-506 - 2015
- [c42]Yaowen Zhang, Lin Shang, Xiuyi Jia:
Sentiment Analysis on Microblogging by Integrating Text and Image Features. PAKDD (2) 2015: 52-63 - [c41]Weibin Zhao, Mengting Xu, Xiuyi Jia, Lin Shang:
A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm. RSFDGrC 2015: 340-351 - [c40]Xiuyi Jia, Lin Shang:
How to Evaluate Three-Way Decisions Based Binary Classification? RSFDGrC 2015: 366-375 - [c39]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:
Methods and Practices of Three-Way Decisions for Complex Problem Solving. RSKT 2015: 255-265 - 2014
- [j13]Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang:
On an optimization representation of decision-theoretic rough set model. Int. J. Approx. Reason. 55(1): 156-166 (2014) - [j12]Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach. Int. J. Comput. Intell. Appl. 13(2) (2014) - [j11]Xiuyi Jia, Lin Shang:
Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email. Trans. Rough Sets 18: 69-91 (2014) - [c38]Cheng Xie, Lin Shang:
Anomaly detection in crowded scenes using genetic programming. IEEE Congress on Evolutionary Computation 2014: 1832-1839 - [c37]Min Guo, Lin Shang:
Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm. FUZZ-IEEE 2014: 229-236 - [c36]Xing Liu, Lin Shang:
Fitness proportionate selection based binary particle swarm optimization. GECCO (Companion) 2014: 11-12 - [c35]Libo Zhang, Huaxiong Li, Xianzhong Zhou, Bing Huang, Lin Shang:
Cost-Sensitive Sequential Three-Way Decision for Face Recognition. RSEISP 2014: 375-383 - [c34]Zhe Zhou, Weibin Zhao, Lin Shang:
Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision. RSKT 2014: 777-788 - [c33]Ping Li, Lin Shang, Huaxiong Li:
A Method to Reduce Boundary Regions in Three-Way Decision Theory. RSKT 2014: 834-843 - [c32]Zhe Zhou, Xing Liu, Ping Li, Lin Shang:
Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization. SEAL 2014: 582-592 - [e1]Chris Cornelis, Marzena Kryszkiewicz, Dominik Slezak, Ernestina Menasalvas Ruiz, Rafael Bello, Lin Shang:
Rough Sets and Current Trends in Computing - 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Lecture Notes in Computer Science 8536, Springer 2014, ISBN 978-3-319-08643-9 [contents] - 2013
- [j10]Liang Zhao, Lin Shang, Yang Gao, Yubin Yang, Xiuyi Jia:
Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]. IEEE Comput. Intell. Mag. 8(1): 56-67 (2013) - [j9]Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification. Int. J. Artif. Intell. Tools 22(4) (2013) - [j8]Xiuyi Jia, Wenhe Liao, Zhenmin Tang, Lin Shang:
Minimum cost attribute reduction in decision-theoretic rough set models. Inf. Sci. 219: 151-167 (2013) - [j7]Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama:
Maximum volume clustering: a new discriminative clustering approach. J. Mach. Learn. Res. 14(1): 2641-2687 (2013) - [c31]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
Binary particle swarm optimisation and rough set theory for dimension reduction in classification. IEEE Congress on Evolutionary Computation 2013: 2428-2435 - [c30]Xing Liu, Lin Shang:
A fast wrapper feature subset selection method based on binary particle swarm optimization. IEEE Congress on Evolutionary Computation 2013: 3347-3353 - [c29]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. EvoCOP 2013: 25-36 - [c28]Min Guo, Lin Shang:
Selecting the appropriate fuzzy membership functions based on user-demand in fuzzy decision-theoretic rough set model. FUZZ-IEEE 2013: 1-8 - [c27]Yaowen Zhang, Xiaojun Xiang, Cunyan Yin, Lin Shang:
Parallel Sentiment Polarity Classification Method with Substring Feature Reduction. PAKDD Workshops 2013: 121-132 - [c26]Ping Li, Jianyang Wu, Lin Shang:
Fast Approximate Attribute Reduction with MapReduce. RSKT 2013: 271-278 - 2012
- [j6]Bing Xue, Liam Cervante, Lin Shang, Will N. Browne, Mengjie Zhang:
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems. Connect. Sci. 24(2-3): 91-116 (2012) - [c25]Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang:
A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory. Australasian Conference on Artificial Intelligence 2012: 313-325 - [c24]Ruobing Li, Wenkai Li, Lin Shang, Yang Gao, Mengjie Zhang:
Opponent's Style Modeling Based on Situations for Bayesian Poker. Australasian Conference on Artificial Intelligence 2012: 385-396 - [c23]Liam Cervante, Bing Xue, Mengjie Zhang, Lin Shang:
Binary particle swarm optimisation for feature selection: A filter based approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c22]Lin Shang, Haipeng Wang, Xinyu Dai, Mengjie Zhang:
Opinion Target Extraction for Short Comments. PRICAI 2012: 528-539 - [c21]Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang:
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. PRICAI 2012: 673-685 - [c20]Xiuyi Jia, Kan Zheng, Weiwei Li, Tingting Liu, Lin Shang:
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study. RSCTC 2012: 287-296 - [c19]Jianyang Wu, Haipeng Wang, Xiaojun Xiang, Lin Shang:
Granular Computing in Opinion Target Extraction. RSKT 2012: 329-335 - 2011
- [j5]Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai:
Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations. Int. J. Comput. Intell. Syst. 4(1): 112-122 (2011) - [j4]Liangdong Shi, Yinghuan Shi, Yang Gao, Lin Shang, Yubin Yang:
Xcsc: a Novel Approach to Clustering with Extended Classifier System. Int. J. Neural Syst. 21(1): 79-93 (2011) - [j3]Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xinyu Dai:
Transfer Learning via Multi-View Principal Component Analysis. J. Comput. Sci. Technol. 26(1): 81-98 (2011) - [c18]Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang:
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. IDEAL 2011: 385-393 - [c17]Guang-Nan He, Yubin Yang, Yao Zhang, Yang Gao, Lin Shang:
Image Region Segmentation Based on Color Coherence Quantization. IEA/AIE (1) 2011: 207-219 - [c16]Guang-Peng Chen, Yu-Bin Yang, Yao Zhang, Ling-Yan Pan, Yang Gao, Lin Shang:
A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm. ISVC (2) 2011: 328-337 - [c15]Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen:
An Optimization Viewpoint of Decision-Theoretic Rough Set Model. RSKT 2011: 457-465 - [c14]Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang:
Granular-Based Partial Periodic Pattern Discovery over Time Series Data. RSKT 2011: 706-711 - [c13]Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama:
Maximum Volume Clustering. AISTATS 2011: 561-569 - 2010
- [c12]Gang Niu, Bo Dai, Lin Shang, Yangsheng Ji:
Rough Margin Based Core Vector Machine. PAKDD (1) 2010: 134-141
2000 – 2009
- 2009
- [c11]Liang Gao, Shaoyue Yu, Yu-Pan Luo, Lin Shang:
MLOD: Multi-granularity local outlier detection. GrC 2009: 171-175 - [c10]Haipeng Wang, Lin Shang, Xinyu Dai, Cunyan Yin:
Finding Appropriate Turning Point for Text Sentiment Polarity. ICONIP (2) 2009: 754-761 - [c9]Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai:
An Incremental Rule Induction Algorithm Based on Ordering Relations. RSKT 2009: 168-175 - 2008
- [j2]Yang Gao, Lin Shang, Yubin Yang:
Intelligent Systems in Nanjing University. IEEE Intell. Informatics Bull. 9(1): 1-2 (2008) - [j1]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:
Research on Rough Set Theory and Applications in China. Trans. Rough Sets 8: 352-395 (2008) - [c8]Liangdong Shi, Yang Gao, Lei Wu, Lin Shang:
Clustering with XCS on Complex Structure Dataset. Australasian Conference on Artificial Intelligence 2008: 489-499 - [c7]Yangsheng Ji, Lin Shang, Xinyu Dai, Ruoce Ma:
Apply a Rough Set-Based Classifier to Dependency Parsing. RSKT 2008: 97-105 - 2007
- [c6]Lin Shang, Shaoyue Yu, Xiuyi Jia, Yangsheng Ji:
ROGAND: A Discretization Model. FSKD (1) 2007: 655-659 - [c5]Yangsheng Ji, Lin Shang:
RoughTree A Classifier with Naive-Bayes and Rough Sets Hybrid in Decision Tree Representation. GrC 2007: 221-226 - [c4]Xiuyi Jia, Lin Shang, Yangsheng Ji, Weiwei Li:
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model. RSFDGrC 2007: 403-410 - 2006
- [c3]Fei Chen, Lin Shang, Ming Li, Zhaoqian Chen, Shifu Chen:
Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation. GrC 2006: 478-481 - [c2]Xuri Yin, Xiuyi Jia, Lin Shang:
A New Extension Model of Rough Sets Under Incomplete Information. RSKT 2006: 141-146 - 2005
- [c1]Lin Shang, Qiong Wan, Zhi-Hong Zhao, Shifu Chen:
Evolutionary Computation and Rough Set-Based Hybrid Approach to Rule Generation. ICNC (3) 2005: 855-862
Coauthor Index
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