Videoader: a video advertising system based on intelligent analysis of visual content. - Jun Hu 016; Guangda Li; Zhen Lu 002; Jun Xiao 001; Richang Hong (ICIMCS, 2011)

Advertising object in web videos. - Richang Hong; Linxie Tang; Jun Hu 016; Guangda Li; Jianguo Jiang (Neurocomputing, 2013)

Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2018)

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2019)

A2CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding. - Jun Hu 016; Shengsheng Qian; Quan Fang; Xueliang Liu; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2019)

GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion. - Yanfei Han; Quan Fang; Jun Hu 016; Shengsheng Qian; Changsheng Xu (CIKM, 2020)

Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. - Youze Wang; Shengsheng Qian; Jun Hu 016; Quan Fang; Changsheng Xu (ICMR, 2020)

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching. - Jun Hu 016; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2020)

Multimodal graph convolutional networks for high quality content recognition. - Jinguang Wang; Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (Neurocomputing, 2020)

Efficient Graph Deep Learning in TensorFlow with tf_geometric. - Jun Hu 016; Shengsheng Qian; Quan Fang; Youze Wang; Quan Zhao; Huaiwen Zhang; Changsheng Xu (ACM Multimedia, 2021)

Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. - Shengsheng Qian; Jinguang Wang; Jun Hu 016; Quan Fang; Changsheng Xu (SIGIR, 2021)

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation. - Desheng Cai; Jun Hu 016; Shengsheng Qian; Quan Fang; Quan Zhao; Changsheng Xu (CoRR, 2021)

Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (CoRR, 2021)

Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2021)

Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. - Shengsheng Qian; Jun Hu 016; Quan Fang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Dual Confidence Learning Network for Open-World Time Series Classification. - Junwei Lv; Ying He 008; Xuegang Hu; Desheng Cai; Yuqi Chu; Jun Hu 016 (DASFAA (2), 2022)

Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Changsheng Xu (ACM Multimedia, 2022)

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (CoRR, 2022)

TCKGE: Transformers with contrastive learning for knowledge graph embedding. - Xiaowei Zhang; Quan Fang; Jun Hu 016; Shengsheng Qian; Changsheng Xu (Int. J. Multim. Inf. Retr., 2022)

Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Wenkui Ding; Changsheng Xu (IEEE Trans. Multim., 2023)

User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Changsheng Xu (ACM Trans. Inf. Syst., 2023)

Contrastive Multi-Modal Knowledge Graph Representation Learning. - Quan Fang; Xiaowei Zhang; Jun Hu 016; Xian Wu 001; Changsheng Xu (IEEE Trans. Knowl. Data Eng., 2023)

Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision. - Nan Chen; Zemin Liu; Bryan Hooi; Bingsheng He; Rizal Fathony; Jun Hu 016; Jia Chen (ICLR, 2024)

Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. - Haoyang Liu; Yaojin Lin; Peipei Li 001; Jun Hu 016; Xuegang Hu (IJCAI, 2024)

Online Multi-Label Classification under Noisy and Changing Label Distribution. - Yizhang Zou; Xuegang Hu; Pei-Pei Li 001; Jun Hu 016; You Wu (CoRR, 2024)

Tri-relational multi-faceted graph neural networks for automatic question tagging. - Nuojia Xu; Jun Hu 016; Quan Fang; Dizhan Xue; Yongxi Li; Shengsheng Qian (Neurocomputing, 2024)

Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning. - Shengsheng Qian; Dizhan Xue; Jun Hu 016; Huaiwen Zhang; Changsheng Xu (IEEE Trans. Image Process., 2024)

Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Richang Hong (IEEE Trans. Multim., 2024)

Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Richang Hong (IEEE Trans. Multim., 2024)

Second-order Confidence Network for Early Classification of Time Series. - Junwei Lv; Yuqi Chu; Jun Hu 016; Pei-Pei Li 001; Xuegang Hu (ACM Trans. Intell. Syst. Technol., 2024)

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. - Jun Hu 016; Bryan Hooi; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation. - Xingrui Zhuo; Shengsheng Qian; Jun Hu 016; Fuxin Dai; Kangyi Lin; Gongqing Wu (ACM Trans. Inf. Syst., 2024)

Efficient Heterogeneous Graph Learning via Random Projection. - Jun Hu 016; Bryan Hooi; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2024)

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation. - Jun Hu 016; Bryan Hooi; Bingsheng He; Yinwei Wei (AAAI, 2025)

NodeImport: Imbalanced Node Classification with Node Importance Assessment. - Nan Chen; Zemin Liu; Bryan Hooi; Bingsheng He; Jun Hu 016; Jia Chen (KDD (1), 2025)

RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs. - Yuan Li 032; Jun Hu 016; Jiaxin Jiang; Zemin Liu; Bryan Hooi; Bingsheng He (CoRR, 2025)

Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels. - Yizhang Zou; Xuegang Hu; Peipei Li 001; Jun Hu 016 (IEEE Trans. Big Data, 2025)

NTSFormer: A Self-Teaching Graph Transformer for Multimodal Cold-Start Node Classification. - Jun Hu 016; Yufei He; Yuan Li 032; Bryan Hooi; Bingsheng He (CoRR, 2025)

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs. - Yuan Li 032; Jun Hu 016; Bryan Hooi; Bingsheng He; Cheng Chen 008 (CoRR, 2025)

End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Wenxiang Dong; Xudong Huang; Richang Hong (ACM Trans. Inf. Syst., 2025)