Shoujin Wang

Orcid: 0000-0002-1552-1250

According to our database1, Shoujin Wang authored at least 112 papers between 2010 and 2024.

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Bibliography

2024
Multi-modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking.
Int. J. Multim. Inf. Retr., December, 2024

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis.
IEEE Trans. Fuzzy Syst., October, 2024

Trustworthy Recommender Systems.
ACM Trans. Intell. Syst. Technol., August, 2024

A Blockchain-enabled decentralized settlement model for IoT data exchange services.
Wirel. Networks, July, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng., June, 2024

Medical Question Summarization with Entity-driven Contrastive Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2024

Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC.
IEEE Trans. Consumer Electron., February, 2024

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing, 2024

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation.
CoRR, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR, 2024

RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection.
CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

Medical long-tailed learning for imbalanced data: Bibliometric analysis.
Comput. Methods Programs Biomed., 2024

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

MSynFD: Multi-hop Syntax Aware Fake News Detection.
Proceedings of the ACM on Web Conference 2024, 2024

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2024

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2024

UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Significance-aware Medication Recommendation with Medication Representation Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Time-Series Representation Learning via Dual Reference Contrasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.
IEEE Trans. Cybern., November, 2023

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.
Neurocomputing, November, 2023

Data science for next-generation recommender systems.
Int. J. Data Sci. Anal., August, 2023

DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching.
Comput. Electr. Eng., March, 2023

Modality Coupling for Privacy Image Classification.
IEEE Trans. Inf. Forensics Secur., 2023

MbSRS: A multi-behavior streaming recommender system.
Inf. Sci., 2023

An empirical study of next-basket recommendations.
CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.
CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.
CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.
CoRR, 2023

Medical Question Summarization with Entity-driven Contrastive Learning.
CoRR, 2023

Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.
CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023


WSDM 2023 Workshop on Interactive Recommender Systems.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Equivariant Contrastive Learning for Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

News Recommendation via Jointly Modeling Event Matching and Style Matching.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Session-based Interactive Recommendation via Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Causal Intervention for Abstractive Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Intention-Aware User Modeling for Personalized News Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Attention Calibration for Transformer-based Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Efficient Interactive Recommendation via Huffman Tree-based Policy Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching.
World Wide Web, 2022

Exploiting intra- and inter-session dependencies for session-based recommendations.
World Wide Web, 2022

Aspect-Driven User Preference and News Representation Learning for News Recommendation.
IEEE Trans. Intell. Transp. Syst., 2022

A Survey on Session-based Recommender Systems.
ACM Comput. Surv., 2022

Trustworthy Recommender Systems.
CoRR, 2022

Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction.
Appl. Soft Comput., 2022

Learning Users' Visual Preferences for Improving Recommendations.
IEEE Access, 2022

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network.
Proceedings of the IEEE Smartworld, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

The Control of intelligent building robot patrol technology based on Raspberry Pi.
Proceedings of the 4th International Conference on Robotics, 2022

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Rethinking Adjacent Dependency in Session-Based Recommendations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Word Sense Disambiguation Based on Memory Enhancement Mechanism.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Data Science and Artificial Intelligence for Responsible Recommendations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Chinese Sentence Matching with Multiple Alignments and Feature Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

News Recommendation Via Multi-Interest News Sequence Modelling.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Systematical Evaluation for Next-Basket Recommendation Algorithms.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction.
ACM Trans. Internet Techn., 2021

Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing.
ACM Trans. Internet Techn., 2021

Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion.
IEEE Trans. Ind. Informatics, 2021

Sentence pair modeling based on semantic feature map for human interaction with IoT devices.
Int. J. Mach. Learn. Cybern., 2021

Visual content-enhanced sequential recommendation with feature-level attention.
Neurocomputing, 2021

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.
IEEE Intell. Syst., 2021

Concept Representation by Learning Explicit and Implicit Concept Couplings.
IEEE Intell. Syst., 2021

Chinese clinical named entity recognition based on stacked neural network.
Concurr. Comput. Pract. Exp., 2021

A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response.
Complex., 2021

Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations.
Appl. Intell., 2021

Next-item Recommendations in Short Sessions.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Graph Learning based Recommender Systems: A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Privacy-aware offloading for training tasks of generative adversarial network in edge computing.
Inf. Sci., 2020

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning.
IEEE Intell. Syst., 2020

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.
CoRR, 2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.
CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.
CoRR, 2020

Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems.
IEEE Access, 2020

Double-Wing Mixture of Experts for Streaming Recommendations.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Modelling Local and Global Dependencies for Next-Item Recommendations.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning complex relations for session-based recommendations
PhD thesis, 2019

A Survey on Session-based Recommender Systems.
CoRR, 2019

Sequential Recommender Systems: Challenges, Progress and Prospects.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Diversifying Personalized Recommendation with User-session Context.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Training deep neural networks on imbalanced data sets.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2012
An Improved Base State with Amendments Spatio-Temporal Data Model.
J. Softw., 2012

2011
Base state with amendments spatio-temporal data model on time-slot retrieval based on temporary base-state.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Design and implementation of villages and towns housing construction products intelligent service system.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Algorithm of arcs recognition based on bar tracking.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010


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