Jun Hu

Orcid: 0000-0003-1277-6802

Affiliations:

National University of Singapore, School of Computing, Singapore
Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China (PhD 2020)

According to our database¹, Jun Hu authored at least 50 papers between 2011 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2026

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2026

EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning.

[BibT_eX]

[DOI]

CoRR, January, 2026

Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection.

[BibT_eX]

[DOI]

CoRR, January, 2026

Online multi-label classification under noisy and changing label distribution.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Relative contrastive pretraining of heterogeneous graph aware language model for zero-shot multi-label document classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2026

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Prompting Large Language Models for Automatic Question Tagging.

[BibT_eX]

[DOI]

Mach. Intell. Res., October, 2025

End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2025

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification.

[BibT_eX]

[DOI]

CoRR, July, 2025

Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2025

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Large-Scale Dataset for Short-Video Topic Peak Prediction and a Large Heterogeneous Graph Model.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

NodeImport: Imbalanced Node Classification with Node Importance Assessment.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Adapting Precomputed Features for Efficient Graph Condensation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Efficient Heterogeneous Graph Learning via Random Projection.

[BibT_eX]

[DOI]

Jun Hu

Bryan Hooi

Bingsheng He

IEEE Trans. Knowl. Data Eng., December, 2024

Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2024

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

Second-order Confidence Network for Early Classification of Time Series.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2024

Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Tri-relational multi-faceted graph neural networks for automatic question tagging.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Contrastive Multi-Modal Knowledge Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2023

Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

2022

TCKGE: Transformers with contrastive learning for knowledge graph embedding.

[BibT_eX]

[DOI]

Int. J. Multim. Inf. Retr., 2022

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2022

Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Dual Confidence Learning Network for Open-World Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2021

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Hierarchical Multi-modal Contextual Attention Network for Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Efficient Graph Deep Learning in TensorFlow with tf_geometric.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Multimodal graph convolutional networks for high quality content recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A<sup>2</sup>CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2019

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2013

Advertising object in web videos.

[BibT_eX]

[DOI]

Neurocomputing, 2013

2011

Videoader: a video advertising system based on intelligent analysis of visual content.

[BibT_eX]

[DOI]

Proceedings of the ICIMCS 2011, 2011

Jun Hu

Timeline

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