Quan Fang

According to our database, Quan Fang authored at least 55 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

2024

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

Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu

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

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

Nuojia Xu, Jun Hu, Quan Fang, Dizhan Xue, Yongxi Li, Shengsheng Qian

Neurocomputing, 2024

ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood.

Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan Fang

CoRR, 2024

2023

Contrastive Multi-Modal Knowledge Graph Representation Learning.

Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu

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

Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation.

Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Changsheng Xu

ACM Trans. Inf. Syst., January, 2023

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

Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu

ACM Trans. Inf. Syst., 2023

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

Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Wenkui Ding, Changsheng Xu

IEEE Trans. Multim., 2023

Open-World Social Event Classification.

Shengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, Changsheng Xu

Proceedings of the ACM Web Conference 2023, 2023

2022

Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection.

Huaiwen Zhang, 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

Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation.

Desheng Cai, Shengsheng Qian, Quan Fang, Changsheng Xu

IEEE Trans. Multim., 2022

TCKGE: Transformers with contrastive learning for knowledge graph embedding.

Xiaowei Zhang, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu

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

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

Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu

CoRR, 2022

MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer.

Dizhan Xue, Shengsheng Qian, Quan Fang, Changsheng Xu

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

Adaptive Transformer-Based Conditioned Variational Autoencoder for Incomplete Social Event Classification.

Zhangming Li, Shengsheng Qian, Jie Cao, Quan Fang, Changsheng Xu

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

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

Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu

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

2021

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

Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu

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

Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection.

Huaiwen Zhang, 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, Shengsheng Qian, Quan Fang, Changsheng Xu

IEEE Trans. Multim., 2021

HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation.

Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu

IEEE Trans. Multim., 2021

Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning.

Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu

CoRR, 2021

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

Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu

CoRR, 2021

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

Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu

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.

Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu

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

Global Relation-Aware Attention Network for Image-Text Retrieval.

Jie Cao, Shengsheng Qian, Huaiwen Zhang, Quan Fang, Changsheng Xu

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval.

Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network.

Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2020

Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation.

Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu

ACM Trans. Intell. Syst. Technol., 2020

Multimodal graph convolutional networks for high quality content recognition.

Jinguang Wang, Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu

Neurocomputing, 2020

Multi-modal Multi-relational Feature Aggregation Network for Medical Knowledge Representation Learning.

Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu

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

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

Jun Hu, Quan Fang, Shengsheng Qian, Changsheng Xu

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

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

Youze Wang, Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu

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

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

Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu

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

2019

A²CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding.

Jun Hu, Shengsheng Qian, Quan Fang, Xueliang Liu, Changsheng Xu

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

Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answering.

Yingying Zhang, Shengsheng Qian, Quan Fang, Changsheng Xu

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

Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection.

Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu

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

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation.

Xiaowen Huang, Quan Fang, Shengsheng Qian, Jitao Sang, Yan Li, Changsheng Xu

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

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

Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu

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

2018

Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering.

Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu

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

CSAN: Contextual Self-Attention Network for User Sequential Recommendation.

Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, Changsheng Xu

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

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

Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu

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

Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions.

Yukun Zuo, Quan Fang, Shengsheng Qian, Xiaorui Zhang, Changsheng Xu

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017

Exploiting Social-Mobile Information for Location Visualization.

Jitao Sang, Quan Fang, Changsheng Xu

ACM Trans. Intell. Syst. Technol., 2017

Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction.

Xiaowen Huang, Yuqi Gao, Quan Fang, Jitao Sang, Changsheng Xu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Folksonomy-Based Visual Ontology Construction and Its Applications.

Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Ahmed Ghoneim

IEEE Trans. Multim., 2016

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

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

Relational User Attribute Inference in Social Media.

Quan Fang, Jitao Sang, Changsheng Xu, M. Shamim Hossain

IEEE Trans. Multim., 2015

2014

Discovering Geo-Informative Attributes for Location Recognition and Exploration.

Quan Fang, Jitao Sang, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2014

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

2013

Paint the City Colorfully: Location Visualization from Multiple Themes.

Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu

Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

GIANT: geo-informative attributes for location recognition and exploration.

Quan Fang, Jitao Sang, Changsheng Xu

Proceedings of the ACM Multimedia Conference, 2013

2012

Saliency Aware Locality-preserving Coding for Image Classification.

Quan Fang, Jitao Sang, Changsheng Xu

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012