Saliency Aware Locality-preserving Coding for Image Classification. - Quan Fang; Jitao Sang; Changsheng Xu (ICME, 2012)

GIANT: geo-informative attributes for location recognition and exploration. - Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2013)

Paint the City Colorfully: Location Visualization from Multiple Themes. - Quan Fang; Jitao Sang; Changsheng Xu; Ke Lu 002 (MMM (1), 2013)

Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning. - Quan Fang; Jitao Sang; Changsheng Xu; Yong Rui (IEEE Trans. Multim., 2014)

Discovering Geo-Informative Attributes for Location Recognition and Exploration. - Quan Fang; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Relational User Attribute Inference in Social Media. - Quan Fang; Jitao Sang; Changsheng Xu; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media. - Quan Fang; Changsheng Xu; Jitao Sang; M. Shamim Hossain; Muhammad Ghulam (IEEE Trans. Multim., 2015)

STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System. - Quan Fang; Changsheng Xu; M. Shamim Hossain; Ghulam Muhammad (ACM Trans. Intell. Syst. Technol., 2016)

Folksonomy-Based Visual Ontology Construction and Its Applications. - Quan Fang; Changsheng Xu; Jitao Sang; M. Shamim Hossain; Ahmed Ghoneim (IEEE Trans. Multim., 2016)

Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction. - Xiaowen Huang 001; Yuqi Gao; Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2017)

Exploiting Social-Mobile Information for Location Visualization. - Jitao Sang; Quan Fang; Changsheng Xu (ACM Trans. Intell. Syst. Technol., 2017)

Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions. - Yukun Zuo; Quan Fang; Shengsheng Qian; Xiaorui Zhang; Changsheng Xu (BigMM, 2018)

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

CSAN: Contextual Self-Attention Network for User Sequential Recommendation. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2018)

Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering. - Huaiwen Zhang; Quan Fang; Shengsheng Qian; 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)

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation. - Xiaowen Huang 001; Quan Fang; Shengsheng Qian; Jitao Sang; Yan Li 068; Changsheng Xu (ACM Multimedia, 2019)

Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection. - Huaiwen Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2019)

Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answering. - Yingying Zhang; 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)

Multi-modal Multi-relational Feature Aggregation Network for Medical Knowledge Representation Learning. - Yingying Zhang; 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)

Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation. - Yingying Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Trans. Intell. Syst. Technol., 2020)

Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. - Shengsheng Qian; Dizhan Xue; Huaiwen Zhang; Quan Fang; Changsheng Xu (AAAI, 2021)

Global Relation-Aware Attention Network for Image-Text Retrieval. - Jie Cao 002; Shengsheng Qian; Huaiwen Zhang; Quan Fang; Changsheng Xu (ICMR, 2021)

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)

HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. - Chaofan Chen; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 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)

Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection. - Huaiwen Zhang; 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)

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)

Adaptive Transformer-Based Conditioned Variational Autoencoder for Incomplete Social Event Classification. - Zhangming Li 002; Shengsheng Qian; Jie Cao 002; Quan Fang; Changsheng Xu (ACM Multimedia, 2022)

MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer. - Dizhan Xue; Shengsheng Qian; Quan Fang; 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 Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

Adaptive Label-Aware Graph Convolutional Networks for Cross-Modal Retrieval. - Shengsheng Qian; Dizhan Xue; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection. - Huaiwen Zhang; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

Open-World Social Event Classification. - Shengsheng Qian; Hong Chen; Dizhan Xue; Quan Fang; Changsheng Xu (WWW, 2023)

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)

Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation. - Yingying Zhang; Xian Wu 001; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Trans. Inf. Syst., 2023)

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval. - Shengsheng Qian; Dizhan Xue; Quan Fang; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 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)

ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood. - Ruoyu Wang; Jiachen Sun; Shaowei Hua; Quan Fang (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)

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)

Non-invasive prediction of atrial fibrillation recurrence by recurrence quantification analysis on the fibrillation cycle length. - Xujian Feng; Haonan Chen; Quan Fang; Taibo Chen; Cuiwei Yang (Biomed. Signal Process. Control., 2025)

LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering. - Dizhan Xue; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2025)

Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task. - Bingqian Wang; Quan Fang; Jiachen Sun; Xiaoxiao Ma (CoRR, 2025)