Jun Hu

57 papers A* 14A 1B 1Journal 38Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection.
CoRR
Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026 J jnl
Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation.
CoRR
Ji Dai, Quan Fang, Jun Hu, Desheng Cai, Yang Yang, Can Zhao
2026 J jnl
Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation.
ACM Trans. Multim. Comput. Commun. Appl.
Ji Dai, Quan Fang, Jun Hu, Desheng Cai, Yang Yang, Can Zhao
2026 A* conf
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs.
AAAI
Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026 A* conf
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning.
AAAI
Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026 J jnl
EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning.
CoRR
Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian
2026 J jnl
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training.
IEEE Trans. Knowl. Data Eng.
Yufei He, Zhenyu Hou, Yukuo Cen, Jun Hu, Feng He, Xu Cheng, Jie Tang, Bryan Hooi
2026 A* conf
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification.
AAAI
Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026 J jnl
Online multi-label classification under noisy and changing label distribution.
Pattern Recognit.
Yizhang Zou, Xuegang Hu, Peipei Li, You Wu, Jun Hu
2026 J jnl
Relative contrastive pretraining of heterogeneous graph aware language model for zero-shot multi-label document classification.
Knowl. Based Syst.
Quan Fang, Yufei Li, Jiawei Wu, Yu Long, Jun Hu, Shengsheng Qian
2025 A* conf
A Large-Scale Dataset for Short-Video Topic Peak Prediction and a Large Heterogeneous Graph Model.
ACM Multimedia
Shangheng Chen, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu
2025 A* conf
Adapting Precomputed Features for Efficient Graph Condensation.
ICML
Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He
2025 J jnl
DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs.
CoRR
Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2025 J jnl
Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning.
CoRR
Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025 J jnl
End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference.
ACM Trans. Inf. Syst.
Jinguang Wang, Shengsheng Qian, Jun Hu, Wenxiang Dong, Xudong Huang, Richang Hong
2025 A* conf
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation.
AAAI
Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2025 J jnl
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification.
CoRR
Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2025 — conf
NodeImport: Imbalanced Node Classification with Node Importance Assessment.
KDD (1)
Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu, Jia Chen
2025 J jnl
Prompting Large Language Models for Automatic Question Tagging.
Mach. Intell. Res.
Nuojia Xu, Dizhan Xue, Shengsheng Qian, Quan Fang, Jun Hu
2025 J jnl
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs.
CoRR
Yuan Li, Jun Hu, Jiaxin Jiang, Zemin Liu, Bryan Hooi, Bingsheng He
2025 J jnl
Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels.
IEEE Trans. Big Data
Yizhang Zou, Xuegang Hu, Peipei Li, Jun Hu
2024 A* conf
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition.
IJCAI
Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu
2024 J jnl
Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection.
IEEE Trans. Multim.
Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong
2024 A* conf
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision.
ICLR
Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
2024 J jnl
Efficient Heterogeneous Graph Learning via Random Projection.
IEEE Trans. Knowl. Data Eng.
Jun Hu, Bryan Hooi, Bingsheng He
2024 J jnl
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu
2024 J jnl
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation.
CoRR
Jun Hu, Bryan Hooi, Bingsheng He, Yinwei Wei
2024 J jnl
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation.
ACM Trans. Inf. Syst.
Xingrui Zhuo, Shengsheng Qian, Jun Hu, Fuxin Dai, Kangyi Lin, Gongqing Wu
2024 J jnl
Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning.
IEEE Trans. Image Process.
Shengsheng Qian, Dizhan Xue, Jun Hu, Huaiwen Zhang, Changsheng Xu
2024 J jnl
Online Multi-Label Classification under Noisy and Changing Label Distribution.
CoRR
Yizhang Zou, Xuegang Hu, Pei-Pei Li, Jun Hu, You Wu
2024 J jnl
Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network.
IEEE Trans. Multim.
Jinguang Wang, Shengsheng Qian, Jun Hu, Richang Hong
2024 J jnl
Second-order Confidence Network for Early Classification of Time Series.
ACM Trans. Intell. Syst. Technol.
Junwei Lv, Yuqi Chu, Jun Hu, Pei-Pei Li, Xuegang Hu
2024 J jnl
Tri-relational multi-faceted graph neural networks for automatic question tagging.
Neurocomputing
Nuojia Xu, Jun Hu, Quan Fang, Dizhan Xue, Yongxi Li, Shengsheng Qian
2023 J jnl
Contrastive Multi-Modal Knowledge Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu
2023 J jnl
Efficient Heterogeneous Graph Learning via Random Projection.
CoRR
Jun Hu, Bryan Hooi, Bingsheng He
2023 J jnl
Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation.
IEEE Trans. Multim.
Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Wenkui Ding, Changsheng Xu
2023 J jnl
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network.
ACM Trans. Inf. Syst.
Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu
2022 A* conf
Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation.
ACM Multimedia
Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu
2022 — conf
Dual Confidence Learning Network for Open-World Time Series Classification.
DASFAA (2)
Junwei Lv, Ying He, Xuegang Hu, Desheng Cai, Yuqi Chu, Jun Hu
2022 J jnl
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.
CoRR
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2022 J jnl
TCKGE: Transformers with contrastive learning for knowledge graph embedding.
Int. J. Multim. Inf. Retr.
Xiaowei Zhang, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu
2021 J jnl
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning.
CoRR
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2021 A* conf
Efficient Graph Deep Learning in TensorFlow with tf_geometric.
ACM Multimedia
Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu
2021 J jnl
Efficient Graph Deep Learning in TensorFlow with tf_geometric.
CoRR
Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu
2021 J jnl
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation.
CoRR
Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu
2021 J jnl
Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching.
IEEE Trans. Multim.
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2021 A* conf
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection.
SIGIR
Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu
2021 J jnl
Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu
2020 B conf
Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks.
ICMR
Youze Wang, Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu
2020 A conf
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion.
CIKM
Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu
2020 A* conf
Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching.
ACM Multimedia
Jun Hu, Quan Fang, Shengsheng Qian, Changsheng Xu
2020 J jnl
Multimodal graph convolutional networks for high quality content recognition.
Neurocomputing
Jinguang Wang, Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2019 J jnl
A
ACM Trans. Multim. Comput. Commun. Appl.
Jun Hu, Shengsheng Qian, Quan Fang, Xueliang Liu, Changsheng Xu
2019 A* conf
Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching.
ACM Multimedia
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2018 A* conf
Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia.
ACM Multimedia
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2013 J jnl
Advertising object in web videos.
Neurocomputing
Richang Hong, Linxie Tang, Jun Hu, Guangda Li, Jianguo Jiang
2011 — conf
Videoader: a video advertising system based on intelligent analysis of visual content.
ICIMCS
Jun Hu, Guangda Li, Zhen Lu, Jun Xiao, Richang Hong