Lin Shang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 61

Top Venues

Publications

Junjia Feng, Mingqian Lin, Lin Shang, Xiaoying Gao
Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification. LREC/COLING (2024)
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) (2024)
Yehuan Wang, Jian Hu, Lin Shang
Accurate and Complete Captions for Question-controlled Text-aware Image Captioning. ICME (2023)
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) (2023)
Jun Feng, Shuai Wang, Wenbiao Yin, Lin Shang
Improving Chinese Spelling Correction by Ranking. IJCNN (2023)
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) (2023)
Mingqian Lin, Lin Shang, Xiaoying Gao
Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming. ICDM (Workshops) (2023)
Tianhao Wang, Lin Shang
Temporal augmented contrastive learning for micro-expression recognition. Pattern Recognit. Lett. 167 (2023)
Tianhao Wang, Mingyue Zhang, Lin Shang
DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features. FG (2023)
Weibin Zhao, Aoran Zhang, Lin Shang, Yonghong Yu, Li Zhang, Can Wang, Jiajun Chen, Hongzhi Yin
Hyperbolic Personalized Tag Recommendation. DASFAA (2) (2022)
Wenbiao Yin, Lin Shang
Efficient Nearest Neighbor Emotion Classification with BERT-whitening. EMNLP (2022)
Baopu Qiu, Lin Shang
Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction. NLPCC (1) (2022)
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) (2022)
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 (2022)
Jingyi Wu, Lin Shang, Xiaoying Gao
Sentiment Time Series Calibration for Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Jingyi Wu, Baopu Qiu, Lin Shang
A Calibration Method for Sentiment Time Series by Deep Clustering. PRICAI (2) (2021)
Yujie Zhou, Jiefeng Long, Suping Xu, Lin Shang
Attribute-driven image captioning via soft-switch pointer. Pattern Recognit. Lett. 152 (2021)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO (2021)
Yiming Li, Lin Shang
"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification. GECCO Companion (2021)
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) (2021)
Ziyi Wang, Yujie Zhou, Chun Li, Lin Shang, Bing Xue
MGEoT: A Multi-grained Ensemble Method for Time Series Classification. PRICAI (1) (2021)
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 (2021)
Yong Liu, Yiming Li, Andy Song, Lin Shang
Multi-granularity Pose Fusion Network with Views for Person Re-identification. IJCNN (2021)
Jiefeng Long, Chun Li, Lin Shang
Few-Shot Crowd Counting via Self-supervised Learning. PRICAI (3) (2021)
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR (2020)
Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li
Label distribution learning: A local collaborative mechanism. Int. J. Approx. Reason. 121 (2020)
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)
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) (2020)
Mingyue Zhang, Zhaoxin Huan, Lin Shang
Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas. PRCV (2) (2020)
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) (2020)
Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) (2020)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC (2020)
Yong Liu, Lin Shang, Andy Song
Dynamic Re-ranking with Deep Features Fusion for Person Re-identification. PRICAI (2) (2019)
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 (2019)
Chun Li, Wenfeng Shi, Lin Shang
Latent Feature Representation for Cohesive Community Detection Based on Convolutional Auto-Encoder. Big Data (CCF) (2019)
Chun Li, Lin Shang, Suping Xu
Foreground Mask Guided Network for Crowd Counting. PRICAI (2) (2019)
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)
Qi Yang, Lin Shang
Multi-task Learning with Bidirectional Language Models for Text Classification. IJCNN (2019)
Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI (2019)
Yue Li, Weibin Zhao, Lin Shang
Really should we pruning after model be totally trained? Pruning based on a small amount of training. CoRR (2019)
Ziyi Wang, Chun Li, Lin Shang
Accurate Identification of Electrical Equipment from Power Load Profiles. PAKDD (2) (2019)
Suping Xu, Lin Shang, Furao Shen
Latent Semantics Encoding for Label Distribution Learning. IJCAI (2019)
Yiming Li, Aiqing He, Chengyan Wang, Lin Shang
RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method. SSCI (2019)
Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC (2019)
Yue Li, Weibin Zhao, Lin Shang
A Novel Thought of Pruning Algorithms: Pruning Based on Less Training. PRICAI (2) (2019)
Weibin Zhao, Yue Li, Lin Shang
Fuzzy Pruning for Compression of Convolutional Neural Networks. FUZZ-IEEE (2019)
Zhaoxin Huan, Lin Shang
Model the Dynamic Evolution of Facial Expression from Image Sequences. PAKDD (2) (2018)
Zeyu Mi, Lin Shang, Bing Xue
Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes. ICONIP (2) (2018)
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)
Yong Liu, Lin Shang, Andy Song
Adaptive Re-ranking of Deep Feature for Person Re-identification. CoRR (2018)
Jia He, Lin Shang, Hong Ji, Xiuling Zhang
Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images. ICONIP (4) (2017)
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) (2017)
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)
Chengyan Wang, Bing Xue, Lin Shang
PSO-based parameters selection for the bilateral filter in image denoising. GECCO (2017)
Junxin Tan, Mengting Xu, Lin Shang, Xiuyi Jia
Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning. PRICAI (2016)
Lin Shang, Zhe Zhou, Xing Liu
Particle swarm optimization-based feature selection in sentiment classification. Soft Comput. 20 (10) (2016)
Ping Li, Mengting Xu, Jianyang Wu, Lin Shang
Using Canonical Correlation Analysis for Parallelized Attribute Reduction. PRICAI (2016)
Xiuyi Jia, Huaxiong Li, Lin Shang
Minimum cost attribute reduction in three-way decisions based Bayesian network. ICMLC (2016)
Xiuyi Jia, Lin Shang, Bing Zhou, Yiyu Yao
Generalized attribute reduct in rough set theory. Knowl. Based Syst. 91 (2016)
Mengting Xu, Min Guo, Lin Shang, Xiuyi Jia
Multi-value image segmentation based on FCM algorithm and Graph Cut Theory. FUZZ-IEEE (2016)
Qi Chen, Bing Xue, Lin Shang, Mengjie Zhang
Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation. GECCO (2016)
Xiuyi Jia, Lin Shang
How to Evaluate Three-Way Decisions Based Binary Classification? RSFDGrC (2015)
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)
Yaowen Zhang, Lin Shang, Xiuyi Jia
Sentiment Analysis on Microblogging by Integrating Text and Image Features. PAKDD (2) (2015)
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)
Xiuyi Jia, Lin Shang
Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email. Trans. Rough Sets 18 (2014)
Min Guo, Lin Shang
Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm. FUZZ-IEEE (2014)
Zhe Zhou, Weibin Zhao, Lin Shang
Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision. RSKT (2014)
Ping Li, Lin Shang, Huaxiong Li
A Method to Reduce Boundary Regions in Three-Way Decision Theory. RSKT (2014)
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)
Zhe Zhou, Xing Liu, Ping Li, Lin Shang
Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization. SEAL (2014)
Libo Zhang, Huaxiong Li, Xianzhong Zhou, Bing Huang, Lin Shang
Cost-Sensitive Sequential Three-Way Decision for Face Recognition. RSEISP (2014)
Cheng Xie, Lin Shang
Anomaly detection in crowded scenes using genetic programming. IEEE Congress on Evolutionary Computation (2014)
Xiuyi Jia, Zhenmin Tang, Wenhe Liao, Lin Shang
On an optimization representation of decision-theoretic rough set model. Int. J. Approx. Reason. 55 (1) (2014)
Xing Liu, Lin Shang
Fitness proportionate selection based binary particle swarm optimization. GECCO (Companion) (2014)
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)
Xing Liu, Lin Shang
A fast wrapper feature subset selection method based on binary particle swarm optimization. IEEE Congress on Evolutionary Computation (2013)
Min Guo, Lin Shang
Selecting the appropriate fuzzy membership functions based on user-demand in fuzzy decision-theoretic rough set model. FUZZ-IEEE (2013)
Liam Cervante, Bing Xue, Lin Shang, Mengjie Zhang
A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory. EvoCOP (2013)
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama
Maximum volume clustering: a new discriminative clustering approach. J. Mach. Learn. Res. 14 (1) (2013)
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) (2013)
Yaowen Zhang, Xiaojun Xiang, Cunyan Yin, Lin Shang
Parallel Sentiment Polarity Classification Method with Substring Feature Reduction. PAKDD Workshops (2013)
Ping Li, Jianyang Wu, Lin Shang
Fast Approximate Attribute Reduction with MapReduce. RSKT (2013)
Xiuyi Jia, Wenhe Liao, Zhenmin Tang, Lin Shang
Minimum cost attribute reduction in decision-theoretic rough set models. Inf. Sci. 219 (2013)
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)
Lin Shang, Haipeng Wang, Xinyu Dai, Mengjie Zhang
Opinion Target Extraction for Short Comments. PRICAI (2012)
Jianyang Wu, Haipeng Wang, Xiaojun Xiang, Lin Shang
Granular Computing in Opinion Target Extraction. RSKT (2012)
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)
Bing Xue, Liam Cervante, Lin Shang, Mengjie Zhang
A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification. PRICAI (2012)
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) (2012)
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)
Xiuyi Jia, Kan Zheng, Weiwei Li, Tingting Liu, Lin Shang
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study. RSCTC (2012)
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)
Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang
Granular-Based Partial Periodic Pattern Discovery over Time Series Data. RSKT (2011)
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)
Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen
An Optimization Viewpoint of Decision-Theoretic Rough Set Model. RSKT (2011)
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) (2011)
Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama
Maximum Volume Clustering. AISTATS (2011)
Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xinyu Dai
Transfer Learning via Multi-View Principal Component Analysis. J. Comput. Sci. Technol. 26 (1) (2011)
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) (2011)

Lin Shang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Lin Shang