Victor S. Sheng

Orcid: 0000-0003-4960-174X

According to our database1, Victor S. Sheng authored at least 280 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, May, 2024

A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment.
ACM Trans. Knowl. Discov. Data, April, 2024

Local Overlapping Spatial-aware Community Detection.
ACM Trans. Knowl. Discov. Data, April, 2024

Label-Dependent Graph Neural Network.
IEEE Trans. Comput. Soc. Syst., April, 2024

Active Crowdsourcing for Multilabel Annotation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Semi-Supervised Local Community Detection.
IEEE Trans. Knowl. Data Eng., February, 2024

Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning.
J. Intell. Inf. Syst., February, 2024

Hierarchical graph attention networks for multi-modal rumor detection on social media.
Neurocomputing, February, 2024

FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level.
IEEE Trans. Knowl. Data Eng., January, 2024

WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks.
IEEE Trans. Inf. Forensics Secur., 2024

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Defense Against Adversarial Attacks for Neural Representations of Text.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mitigate Gender Bias Using Negative Multi-task Learning.
Neural Process. Lett., December, 2023

Security and privacy issues in blockchain and its applications.
IET Blockchain, December, 2023

A multi-model ensemble learning framework for imbalanced android malware detection.
Expert Syst. Appl., December, 2023

Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation.
World Wide Web (WWW), November, 2023

Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Overview of RGBD semantic segmentation based on deep learning.
J. Ambient Intell. Humaniz. Comput., October, 2023

Randomly Wired Graph Neural Network for Chinese NER.
Expert Syst. Appl., October, 2023

Quaternion-based graph convolution network for recommendation.
World Wide Web (WWW), September, 2023

Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer.
Pattern Recognit., August, 2023

Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
ACM Trans. Knowl. Discov. Data, July, 2023

Multi-dimensional Graph Neural Network for Sequential Recommendation.
Pattern Recognit., July, 2023

Short Text Topic Learning Using Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng., May, 2023

An effective end-to-end android malware detection method.
Expert Syst. Appl., May, 2023

A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU.
KSII Trans. Internet Inf. Syst., February, 2023

An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection.
Knowl. Inf. Syst., January, 2023

Contrastive Learning Based Graph Convolution Network for Social Recommendation.
ACM Trans. Knowl. Discov. Data, 2023

STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2023

Android malware detection based on multi-head squeeze-and-excitation residual network.
Expert Syst. Appl., 2023

Learning from biased crowdsourced labeling with deep clustering.
Expert Syst. Appl., 2023

Cascaded multi-point regression Network for high-quality generic lesion detection.
Expert Syst. Appl., 2023

A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey.
ACM Comput. Surv., 2023

A Modified PointNet-Based DDoS Attack Classification and Segmentation in Blockchain.
Comput. Syst. Sci. Eng., 2023

Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation.
CoRR, 2023

RTUNet: Residual transformer UNet specifically for pancreas segmentation.
Biomed. Signal Process. Control., 2023

Meta-optimized Contrastive Learning for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Sequential Recommendation with Probabilistic Logical Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Sample Selection Based on Uncertainty for Combating Label Noise.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Adaptive Clustering-Based Collusion Detection in Crowdsourcing.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Defending the Graph Reconstruction Attacks for Simplicial Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Simplex2vec Backward: From Vectors Back to Simplicial Complex.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Neurosymbolic Knowledge Distillation.
Proceedings of the IEEE International Conference on Big Data, 2023

Explainable Transcription Factor Prediction with Protein Language Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Enhancing Logic Error Detection Through Program Pseudocodes.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Logic Error Localization and Correction with Machine Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing.
Wirel. Commun. Mob. Comput., 2022

A Hybrid Deep Network Framework for Android Malware Detection.
IEEE Trans. Knowl. Data Eng., 2022

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario.
IEEE Trans. Knowl. Data Eng., 2022

Guest Editorial: Reliability and Security for Intelligent Wireless Sensing and Control Systems.
IEEE Trans. Ind. Informatics, 2022

Study of cross-domain person re-identification based on DCGAN.
Multim. Tools Appl., 2022

A MBGD enhancement method for imbalance smoothing.
Multim. Tools Appl., 2022

Cascaded-Hop For DeepFake Videos Detection.
KSII Trans. Internet Inf. Syst., 2022

MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition.
KSII Trans. Internet Inf. Syst., 2022

Bipartite network embedding with Symmetric Neighborhood Convolution.
Expert Syst. Appl., 2022

Homophily-aware correction framework for crowdsourced labels using heterogeneous information network.
Expert Syst. Appl., 2022

Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net.
Expert Syst. Appl., 2022

Image Inpainting Detection Based on High-Pass Filter Attention Network.
Comput. Syst. Sci. Eng., 2022

A New Method of Image Restoration Technology Based on WGAN.
Comput. Syst. Sci. Eng., 2022

Class-attention Video Transformer for Engagement Intensity Prediction.
CoRR, 2022

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation.
CoRR, 2022

Location-based deep factorization machine model for service recommendation.
Appl. Intell., 2022

Anomaly Detection in Crowdsourced Work with Interval-Valued Labels.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Towards Explainable Summary of Crowdsourced Reviews Through Text Mining.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems.
Proceedings of the International Joint Conference on Neural Networks, 2022

Quaternion-Based Graph Contrastive Learning for Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Projection Dual Averaging Based Second-order Online Learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Survey of Consensus Mechanism Based on Reputation Model.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

IoT Data Blockchain-Based Transaction Model Using Zero-Knowledge Proofs and Proxy Re-encryption.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Survey of Multi-label Text Classification Based on Deep Learning.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

New Threats to Privacy-preserving Text Representations.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Proximal Cost-sensitive Sparse Group Online Learning.
Proceedings of the IEEE International Conference on Big Data, 2022

Self-guided Contrastive Learning for Sequential Recommendation.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms.
IEEE Trans. Ind. Informatics, 2021

Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things.
IEEE Trans. Comput. Soc. Syst., 2021

Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.
Multim. Syst., 2021

Adaptive robust local online density estimation for streaming data.
Int. J. Mach. Learn. Cybern., 2021

DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function.
Knowl. Based Syst., 2021

A review of Chinese named entity recognition.
KSII Trans. Internet Inf. Syst., 2021

SemicNet: a semicircular network for the segmentation of the liver and its lesions.
Int. J. Sens. Networks, 2021

Long- and short-term self-attention network for sequential recommendation.
Neurocomputing, 2021

SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network.
Neurocomputing, 2021

Multi-label graph node classification with label attentive neighborhood convolution.
Expert Syst. Appl., 2021

Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs.
Expert Syst. Appl., 2021

MLANet: Multi-Layer Anchor-free Network for generic lesion detection.
Eng. Appl. Artif. Intell., 2021

Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise.
ACM Comput. Surv., 2021

Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
CoRR, 2021

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Managing Uncertainty in Crowdsourcing with Interval-Valued Labels.
Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

Variational Self-attention Network for Sequential Recommendation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Knowledge Distillation via Weighted Ensemble of Teaching Assistants.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Considering Interaction Sequence of Historical Items for Conversational Recommender System.
Proceedings of the Database Systems for Advanced Applications, 2021

Knowledge-Aware Hypergraph Neural Network for Recommender Systems.
Proceedings of the Database Systems for Advanced Applications, 2021

Learning Disentangled User Representation Based on Controllable VAE for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

Tell Me Where to Go Next: Improving POI Recommendation via Conversation.
Proceedings of the Database Systems for Advanced Applications, 2021

Multi-objective Privacy-preserving Text Representation Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

HGATs: hierarchical graph attention networks for multiple comments integration.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

K<sup>2</sup>-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

An optimal model with a lower bound of recall for imbalanced speech emotion recognition.
Multim. Tools Appl., 2020

Near real-time topic-driven rumor detection in source microblogs.
Knowl. Based Syst., 2020

A real-time typhoon eye detection method based on deep learning for meteorological information forensics.
J. Real Time Image Process., 2020

A novel privacy-preserving speech recognition framework using bidirectional LSTM.
J. Cloud Comput., 2020

Data-driven pollution source location algorithm in water quality monitoring sensor networks.
Int. J. Bio Inspired Comput., 2020

Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering.
Expert Syst. Appl., 2020

Labelling Training Samples Using Crowdsourcing Annotation for Recommendation.
Complex., 2020

Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics.
Big Data Min. Anal., 2020

Cascade U-ResNets for Simultaneous Liver and Lesion Segmentation.
IEEE Access, 2020

Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition.
IEEE Access, 2020

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Simple Ensemble Learning Knowledge Distillation.
Proceedings of the Machine Learning and Artificial Intelligence, 2020

Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Collaborative Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

The IEEE ICDM 2020 Workshops.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

A Roadmap to Domain Knowledge Integration in Machine Learning.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Hierarchical Variational Attention for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Domain Recommendation with Adversarial Examples.
Proceedings of the Database Systems for Advanced Applications, 2020

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2020

BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Knowledge Graph Attention Network Enhanced Sequential Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Spatio-Temporal Self-Attention Network for Next POI Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Interactive Learning with Proactive Cognition Enhancement for Crowd Workers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019

Ensemble Learning from Crowds.
IEEE Trans. Knowl. Data Eng., 2019

Majority Voting and Pairing with Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng., 2019

Fog-enabled Event Processing Based on IoT Resource Models.
IEEE Trans. Knowl. Data Eng., 2019

Machine Learning for Wireless Multimedia Data Security.
Secur. Commun. Networks, 2019

Corrigendum to "Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing".
Secur. Commun. Networks, 2019

Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP.
J. Comput. Sci. Technol., 2019

Security cooperation model based on topology control and time synchronization for wireless sensor networks.
J. Commun. Networks, 2019

DOG: A new background removal for object recognition from images.
Neurocomputing, 2019

Liver CT sequence segmentation based with improved U-Net and graph cut.
Expert Syst. Appl., 2019

A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning.
CoRR, 2019

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation.
CoRR, 2019

Adaptive DDoS attack detection method based on multiple-kernel learning.
CoRR, 2019

MRI and PET image fusion using the nonparametric density model and the theory of variable-weight.
Comput. Methods Programs Biomed., 2019

Exploiting Aesthetic Features in Visual Contents for Movie Recommendation.
IEEE Access, 2019

Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation.
IEEE Access, 2019

Recurrent Convolutional Neural Network for Sequential Recommendation.
Proceedings of the World Wide Web Conference, 2019

Interaction Graph Neural Network for News Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

Feature-level Deeper Self-Attention Network for Sequential Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graph Contextualized Self-Attention Network for Session-based Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Centralized Energy-Efficient Wireless Sensor Network Routing Protocol for the Static Sensor Nodes.
Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

AdaCML: Adaptive Collaborative Metric Learning for Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Attention and Convolution Enhanced Memory Network for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Improving Crowdsourced Label Quality Using Noise Correction.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Solution Path Algorithm for General Parametric Quadratic Programming Problem.
IEEE Trans. Neural Networks Learn. Syst., 2018

Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks.
Sensors, 2018

Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning.
Secur. Commun. Networks, 2018

Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing.
Secur. Commun. Networks, 2018

Chunk incremental learning for cost-sensitive hinge loss support vector machine.
Pattern Recognit., 2018

Learning from crowds with active learning and self-healing.
Neural Comput. Appl., 2018

A Generative Model Approach for Geo-Social Group Recommendation.
J. Comput. Sci. Technol., 2018

Sparse regression with output correlation for cardiac ejection fraction estimation.
Inf. Sci., 2018

An Active Learning Approach for Multi-Label Image Classification with Sample Noise.
Int. J. Pattern Recognit. Artif. Intell., 2018

Efficient sampling methods for characterizing POIs on maps based on road networks.
Frontiers Comput. Sci., 2018

Document-specific keyphrase candidate search and ranking.
Expert Syst. Appl., 2018

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation.
CoRR, 2018

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation.
IEEE Access, 2018

Coarse to Fine: Multi-label Image Classification with Global/Local Attention.
Proceedings of the IEEE International Smart Cities Conference, 2018

An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Exploring Methods of Assessing Influence Relevance of News Articles.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

Exploiting Implicit Social Relationship for Point-of-Interest Recommendation.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Class Imbalance Problem.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Location-aware publish/subscribe index with complex boolean expressions.
World Wide Web, 2017

Monochromatic and bichromatic ranked reverse boolean spatial keyword nearest neighbors search.
World Wide Web, 2017

Structural Minimax Probability Machine.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Robust Regularization Path Algorithm for ν-Support Vector Classification.
IEEE Trans. Neural Networks Learn. Syst., 2017

Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification.
IEEE Trans. Multim., 2017

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Broaden the minority class space for decision tree induction using antigen-derived detectors.
Knowl. Based Syst., 2017

Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci., 2017

Active learning with label correlation exploration for multi-label image classification.
IET Comput. Vis., 2017

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.
Comput. Intell. Neurosci., 2017

Social Personalized Ranking Embedding for Next POI Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Label Aggregation for Crowdsourcing with Bi-Layer Clustering.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Adaptive Low-Rank Multi-Label Active Learning for Image Classification.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multi-label active learning with low-rank mapping for image classification.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Exploiting Hierarchical Structures for POI Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Keyphrase Extraction Using Sequential Pattern Mining and Entropy.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Keyphrase Extraction with Sequential Pattern Mining.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng., 2016

Noise filtering to improve data and model quality for crowdsourcing.
Knowl. Based Syst., 2016

A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification.
Int. J. Pattern Recognit. Artif. Intell., 2016

Label noise correction and application in crowdsourcing.
Expert Syst. Appl., 2016

Stratification-Based Outlier Detection over the Deep Web.
Comput. Intell. Neurosci., 2016

Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev., 2016

A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Social Recommendation Terms: Probabilistic Explanation Optimization.
Proceedings of the Challenges and Opportunity with Big Data, 2016

Multi-label active learning for image classification with asymmetrical conditional dependence.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Incremental Support Vector Learning for Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2015

Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng., 2015

Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybern., 2015

Incremental learning for ν-Support Vector Regression.
Neural Networks, 2015

CEKA: a tool for mining the wisdom of crowds.
J. Mach. Learn. Res., 2015

Immune Centroids Oversampling Method for Binary Classification.
Comput. Intell. Neurosci., 2015

An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Effective Sampling of Points of Interests on Maps Based on Road Networks.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Batch Mode Active Learning for Networked Data with Optimal Subset Selection.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Semi-automatic Labeling with Active Learning for Multi-label Image Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Immune Centroids Over-Sampling Method for Multi-Class Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Weak Labeled Multi-Label Active Learning for Image Classification.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Multi-Label Active Learning with Chi-Square Statistics for Image Classification.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

A Double Weighted Naive Bayes for Multi-label Classification.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Bi-Parameter Space Partition for Cost-Sensitive SVM.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Integrating Active Learning with Supervision for Crowdsourcing Generalization.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Learning from the Crowd with Neural Network.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Multi-label active learning with label correlation for image classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Noise correction of image labeling in crowdsourcing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Label noise correction methods.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Scalable Top- k Spatial Image Search on Road Networks.
Proceedings of the Database Systems for Advanced Applications, 2015

Improving Label Quality in Crowdsourcing Using Noise Correction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Best First Over-Sampling for Multilabel Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

EPEMS: An Entity Matching System for E-Commerce Products.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks.
Proceedings of the Databases Theory and Applications, 2015

Effective Spatial Keyword Query Processing on Road Networks.
Proceedings of the Databases Theory and Applications, 2015

2014
Cost-sensitive learning for defect escalation.
Knowl. Based Syst., 2014

Repeated labeling using multiple noisy labelers.
Data Min. Knowl. Discov., 2014

Multi-label active learning for image classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., 2013

A hybrid intelligent data classification algorithm.
Int. J. Wirel. Mob. Comput., 2013

An Empirical Study of Reducing Multiclass Classification Methodologies.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

A Study on Multi-label Classification.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

A threshold method for imbalanced multiple noisy labeling.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Imbalanced Multiple Noisy Labeling for Supervised Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Empirical Comparison of Multi-Label Classification Algorithms.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications?
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Interval-Valued Centroids in K-Means Algorithms.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Studying Active Learning in the Cost-Sensitive Framework.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2011
Boosting Inspired Process for Improving AUC.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Fast Data Acquisition in Cost-Sensitive Learning.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

Simple Multiple Noisy Label Utilization Strategies.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Class Imbalance Problem.
Proceedings of the Encyclopedia of Machine Learning, 2010

2009
Cost-Sensitive Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Get another label? improving data quality and data mining using multiple, noisy labelers.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Partial example acquisition in cost-sensitive learning.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Roulette Sampling for Cost-Sensitive Learning.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng., 2006

Maximum profit mining and its application in software development.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Feature value acquisition in testing: a sequential batch test algorithm.
Proceedings of the Machine Learning, 2006

Thresholding for Making Classifiers Cost-sensitive.
Proceedings of the Proceedings, 2006


  Loading...