Nengjun Zhu

Orcid: 0000-0002-6146-9887

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Nengjun Zhu authored at least 38 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning.
CoRR, March, 2025

Distributed Recommendation Systems: Survey and Research Directions.
ACM Trans. Inf. Syst., January, 2025

MMGCL: Multi-scale and multi-channel graph contrastive learning for flight anomaly detection.
Knowl. Based Syst., 2025

ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng., November, 2024

IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews.
IEEE Trans. Artif. Intell., October, 2024

Entity recognition based on heterogeneous graph reasoning of visual region and text candidate.
Mach. Learn., July, 2024

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents.
CoRR, 2024

MANSOR: A module alignment method based on neighbor information for scientific workflow.
Concurr. Comput. Pract. Exp., 2024

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics.
Proceedings of the IEEE International Conference on Web Services, 2024

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2024

Early Fire Detection Based on Local Morphological Knowledge Matching.
Proceedings of the IEEE International Conference on Data Mining, 2024

2023
Enhancing Next-Item Recommendation Through Adaptive User Group Modeling.
J. Soc. Comput., June, 2023

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.
ACM Trans. Knowl. Discov. Data, 2023

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs.
Proceedings of the IEEE International Conference on Data Mining, 2023

FRS4CPP: A Fair Recommendation Strategy Considering Interests of Users, Providers and Platform.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Learning a Hierarchical Intent Model for Next-Item Recommendation.
ACM Trans. Inf. Syst., 2022

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.
ACM Trans. Knowl. Discov. Data, 2022

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs.
Knowl. Based Syst., 2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation.
Int. J. Comput. Intell. Syst., 2022

Multi-label disaster text classification via supervised contrastive learning for social media data.
Comput. Electr. Eng., 2022

CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Leveraging pointwise prediction with learning to rank for top-N recommendation.
World Wide Web, 2021

A New $k$-Nearest Neighbors Algorithm for Learning from Multiple Experts' Uncertain Decisions.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
A Decision Support System with Intelligent Recommendation for Multi-disciplinary Medical Treatment.
ACM Trans. Multim. Comput. Commun. Appl., 2020

A semi-supervised attention model for identifying authentic sneakers.
Big Data Min. Anal., 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Enhancing Cross-domain Recommendation through Preference Structure Information Sharing.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2018
An Adaptive k-NN Classifier for Medical Treatment Recommendation Under Concept Drift.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017
GTRM: A Top-N Recommendation Model for Smartphone Applications.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016
Service Package Recommendation for Mashup Development Based on a Multi-level Relational Network.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016


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