Lin Shang

Orcid: 0000-0003-1356-1942

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China


According to our database1, Lin Shang authored at least 124 papers between 2005 and 2025.

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Bibliography

2025
Incomplete label distribution learning via label correlation decomposition.
Inf. Fusion, 2025

2024
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?
IEEE Trans. Evol. Comput., April, 2024

SASBO: Sparse Attack via Stochastic Binary Optimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Enhance Training Objectives for Image Captioning with Decomposed Sequence-level Metric.
Proceedings of the International Joint Conference on Neural Networks, 2024

Sparse Attack with Meta-Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Autonomous Aspect-Image Instruction a2II: Q-Former Guided Multimodal Sentiment Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Temporal augmented contrastive learning for micro-expression recognition.
Pattern Recognit. Lett., March, 2023

Personalized tag recommendation via denoising auto-encoder.
World Wide Web (WWW), January, 2023

Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput., 2023

Adv-Triplet Loss for Sparse Attack on Facial Expression Recognition.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Improving Chinese Spelling Correction by Ranking.
Proceedings of the International Joint Conference on Neural Networks, 2023

Accurate and Complete Captions for Question-controlled Text-aware Image Captioning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming.
Proceedings of the IEEE International Conference on Data Mining, 2023

DisVAE: Disentangled Variational Autoencoder for High-Quality Facial Expression Features.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

2022
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput., 2022

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR, 2022

All up to You: Controllable Video Captioning with a Masked Scene Graph.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Improve Chinese Spelling Check by Reevaluation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Learning Emotion-Aware Contextual Representations for Emotion-Cause Pair Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

ContextBert: Enhanced Implicit Sentiment Analysis Using Implicit-sentiment-query Attention.
Proceedings of the International Joint Conference on Neural Networks, 2022

Generating Spatial-aware Captions for TextCaps.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Efficient Nearest Neighbor Emotion Classification with BERT-whitening.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hyperbolic Personalized Tag Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Sentiment Time Series Calibration for Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Attribute-driven image captioning via soft-switch pointer.
Pattern Recognit. Lett., 2021

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021

Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021

A Calibration Method for Sentiment Time Series by Deep Clustering.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

MGEoT: A Multi-grained Ensemble Method for Time Series Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Few-Shot Crowd Counting via Self-supervised Learning.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Multi-granularity Pose Fusion Network with Views for Person Re-identification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

"Re-ID BUFF": an enhanced similarity measurement based on genetic programming for person re-identification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020

Similarity-based attribute reduction in rough set theory: a clustering perspective.
Int. J. Mach. Learn. Cybern., 2020

Label distribution learning: A local collaborative mechanism.
Int. J. Approx. Reason., 2020

Micro-Expression Recognition Using Micro-Variation Boosted Heat Areas.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Data-Free Adversarial Perturbations for Practical Black-Box Attack.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model.
Inf. Sci., 2019

Really should we pruning after model be totally trained? Pruning based on a small amount of training.
CoRR, 2019

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Dynamic Re-ranking with Deep Features Fusion for Person Re-identification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Novel Thought of Pruning Algorithms: Pruning Based on Less Training.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Foreground Mask Guided Network for Crowd Counting.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Accurate Identification of Electrical Equipment from Power Load Profiles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multi-task Learning with Bidirectional Language Models for Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Latent Semantics Encoding for Label Distribution Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Fuzzy Pruning for Compression of Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Latent Feature Representation for Cohesive Community Detection Based on Convolutional Auto-Encoder.
Proceedings of the Big Data - 7th CCF Conference, 2019

2018
Adaptive Re-ranking of Deep Feature for Person Re-identification.
CoRR, 2018

Model the Dynamic Evolution of Facial Expression from Image Sequences.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

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).
计算机科学, 2017

Deep Learning Features for Lung Adenocarcinoma Classification with Tissue Pathology Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

PSO-based parameters selection for the bilateral filter in image denoising.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
Particle swarm optimization-based feature selection in sentiment classification.
Soft Comput., 2016

Generalized attribute reduct in rough set theory.
Knowl. Based Syst., 2016

Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Using Canonical Correlation Analysis for Parallelized Attribute Reduction.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Minimum cost attribute reduction in three-way decisions based Bayesian network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Multi-value image segmentation based on FCM algorithm and Graph Cut Theory.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Methods and Practices of Three-Way Decisions for Complex Problem Solving.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

How to Evaluate Three-Way Decisions Based Binary Classification?
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Sentiment Analysis on Microblogging by Integrating Text and Image Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email.
Trans. Rough Sets, 2014

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014

On an optimization representation of decision-theoretic rough set model.
Int. J. Approx. Reason., 2014

Feature Selection Method with Proportionate Fitness Based Binary Particle Swarm Optimization.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

A Method to Reduce Boundary Regions in Three-Way Decision Theory.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Cost-Sensitive Sequential Three-Way Decision for Face Recognition.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

Fitness proportionate selection based binary particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Color image segmentation based on Decision-Theoretic Rough Set model and Fuzzy C-Means algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Anomaly detection in crowded scenes using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Maximum volume clustering: a new discriminative clustering approach.
J. Mach. Learn. Res., 2013

Minimum cost attribute reduction in decision-theoretic rough set models.
Inf. Sci., 2013

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013

Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes].
IEEE Comput. Intell. Mag., 2013

Fast Approximate Attribute Reduction with MapReduce.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Parallel Sentiment Polarity Classification Method with Substring Feature Reduction.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Selecting the appropriate fuzzy membership functions based on user-demand in fuzzy decision-theoretic rough set model.
Proceedings of the FUZZ-IEEE 2013, 2013

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

A fast wrapper feature subset selection method based on binary particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012

Granular Computing in Opinion Target Extraction.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Three-Way Decisions Solution to Filter Spam Email: An Empirical Study.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Opinion Target Extraction for Short Comments.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Binary particle swarm optimisation for feature selection: A filter based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Opponent's Style Modeling Based on Situations for Bayesian Poker.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Maximum Volume Clustering.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Transfer Learning via Multi-View Principal Component Analysis.
J. Comput. Sci. Technol., 2011

Xcsc: a Novel Approach to Clustering with Extended Classifier System.
Int. J. Neural Syst., 2011

Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations.
Int. J. Comput. Intell. Syst., 2011

Granular-Based Partial Periodic Pattern Discovery over Time Series Data.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

An Optimization Viewpoint of Decision-Theoretic Rough Set Model.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm.
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Image Region Segmentation Based on Color Coherence Quantization.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
Rough Margin Based Core Vector Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009
An Incremental Rule Induction Algorithm Based on Ordering Relations.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Finding Appropriate Turning Point for Text Sentiment Polarity.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

MLOD: Multi-granularity local outlier detection.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Intelligent Systems in Nanjing University.
IEEE Intell. Informatics Bull., 2008

Apply a Rough Set-Based Classifier to Dependency Parsing.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Clustering with XCS on Complex Structure Dataset.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model.
Proceedings of the Rough Sets, 2007

RoughTree A Classifier with Naive-Bayes and Rough Sets Hybrid in Decision Tree Representation.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

ROGAND: A Discretization Model.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
A New Extension Model of Rough Sets Under Incomplete Information.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Mining Frequent Patterns based on Compressed FP-tree without Conditional FP-tree Generation.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
Evolutionary Computation and Rough Set-Based Hybrid Approach to Rule Generation.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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