Quan Fang

73 papers A* 21A 2B 2Journal 44Unranked 4
YearRankTypeTitle / Venue / Authors
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 J jnl
HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language Models.
CoRR
Yangguang Lin, Quan Fang, Yufei Li, Jiachen Sun, Junyu Gao, Jitao Sang
2026 J jnl
Metapath-Enhanced Language Model Pretraining on Text-Attributed Heterogeneous Graphs.
ACM Trans. Multim. Comput. Commun. Appl.
Shangheng Chen, Quan Fang, Shengsheng Qian, Changsheng Xu
2026 J jnl
Modality-Guided Mixture of Graph Experts with Entropy-Triggered Routing for Multimodal Recommendation.
CoRR
Ji Dai, Quan Fang, Dengsheng Cai
2026 A* conf
Multi-modal Bipartite Graph Structure Learning with Information Bottleneck for Micro-video Recommendation.
WWW
Ying He, Desheng Cai, Shengsheng Qian, Quan Fang, Yinwei Wei, Changsheng Xu
2026 A* conf
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation.
AAAI
Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai
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 J jnl
Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing.
CoRR
Maoqi Liu, Quan Fang, Yang Yang, Can Zhao, Kaiquan Cai
2025 J jnl
LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering.
IEEE Trans. Multim.
Dizhan Xue, Shengsheng Qian, Quan Fang, Changsheng Xu
2025 J jnl
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation.
CoRR
Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai
2025 J jnl
Non-invasive prediction of atrial fibrillation recurrence by recurrence quantification analysis on the fibrillation cycle length.
Biomed. Signal Process. Control.
Xujian Feng, Haonan Chen, Quan Fang, Taibo Chen, Cuiwei Yang
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
Propagation Based Recycling Contrastive Learning for Coupled Noisy Visible-Infrared Person Re-Identification.
IEEE Trans. Multim.
Yongxi Li, Wenzhong Tang, Shuai Wang, Shengsheng Qian, Quan Fang, Changsheng Xu
2025 — conf
R
PRCV (1)
Maoqi Liu, Quan Fang, Junyu Gao, Yang Yang
2025 J jnl
Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task.
CoRR
Bingqian Wang, Quan Fang, Jiachen Sun, Xiaoxiao Ma
2025 — conf
Stance-Driven Multimodal Controlled Statement Generation: New Task and Dataset.
MMAsia
Bingqian Wang, Quan Fang, Xiaoxiao Ma
2024 J jnl
ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood.
CoRR
Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan Fang
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
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
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
Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Shengsheng Qian, Dizhan Xue, Quan Fang, Changsheng Xu
2023 J jnl
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation.
ACM Trans. Inf. Syst.
Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Changsheng Xu
2023 A* conf
Open-World Social Event Classification.
WWW
Shengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, 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 J jnl
Adaptive Label-Aware Graph Convolutional Networks for Cross-Modal Retrieval.
IEEE Trans. Multim.
Shengsheng Qian, Dizhan Xue, Quan Fang, Changsheng Xu
2022 A* conf
Adaptive Transformer-Based Conditioned Variational Autoencoder for Incomplete Social Event Classification.
ACM Multimedia
Zhangming Li, Shengsheng Qian, Jie Cao, Quan Fang, Changsheng Xu
2022 J jnl
Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation.
IEEE Trans. Multim.
Desheng Cai, Shengsheng Qian, Quan Fang, Changsheng Xu
2022 J jnl
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.
CoRR
Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu
2022 A* conf
MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer.
ACM Multimedia
Dizhan Xue, Shengsheng Qian, Quan Fang, Changsheng Xu
2022 J jnl
Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection.
IEEE Trans. Multim.
Huaiwen Zhang, 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
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval.
AAAI
Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, 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 B conf
Global Relation-Aware Attention Network for Image-Text Retrieval.
ICMR
Jie Cao, Shengsheng Qian, Huaiwen Zhang, Quan Fang, Changsheng Xu
2021 J jnl
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation.
IEEE Trans. Multim.
Chaofan Chen, Shengsheng Qian, Quan Fang, 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
2021 J jnl
Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection.
IEEE Trans. Multim.
Huaiwen Zhang, Shengsheng Qian, 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 J jnl
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation.
ACM Trans. Intell. Syst. Technol.
Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu
2020 J jnl
Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network.
ACM Trans. Multim. Comput. Commun. Appl.
Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, 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 A* conf
Multi-modal Multi-relational Feature Aggregation Network for Medical Knowledge Representation Learning.
ACM Multimedia
Yingying Zhang, 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
Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation.
ACM Multimedia
Xiaowen Huang, Quan Fang, Shengsheng Qian, Jitao Sang, Yan Li, 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
2019 A* conf
Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection.
ACM Multimedia
Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu
2019 A* conf
Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answering.
ACM Multimedia
Yingying Zhang, 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
2018 A* conf
CSAN: Contextual Self-Attention Network for User Sequential Recommendation.
ACM Multimedia
Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, Changsheng Xu
2018 A* conf
Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering.
ACM Multimedia
Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu
2018 — conf
Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions.
BigMM
Yukun Zuo, Quan Fang, Shengsheng Qian, Xiaorui Zhang, Changsheng Xu
2017 J jnl
Exploiting Social-Mobile Information for Location Visualization.
ACM Trans. Intell. Syst. Technol.
Jitao Sang, Quan Fang, Changsheng Xu
2017 A* conf
Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction.
ACM Multimedia
Xiaowen Huang, Yuqi Gao, Quan Fang, Jitao Sang, Changsheng Xu
2016 J jnl
Folksonomy-Based Visual Ontology Construction and Its Applications.
IEEE Trans. Multim.
Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Ahmed Ghoneim
2016 J jnl
STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System.
ACM Trans. Intell. Syst. Technol.
Quan Fang, Changsheng Xu, M. Shamim Hossain, Ghulam Muhammad
2015 J jnl
Relational User Attribute Inference in Social Media.
IEEE Trans. Multim.
Quan Fang, Jitao Sang, Changsheng Xu, M. Shamim Hossain
2015 J jnl
Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media.
IEEE Trans. Multim.
Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Muhammad Ghulam
2014 J jnl
Discovering Geo-Informative Attributes for Location Recognition and Exploration.
ACM Trans. Multim. Comput. Commun. Appl.
Quan Fang, Jitao Sang, Changsheng Xu
2014 J jnl
Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning.
IEEE Trans. Multim.
Quan Fang, Jitao Sang, Changsheng Xu, Yong Rui
2013 A* conf
GIANT: geo-informative attributes for location recognition and exploration.
ACM Multimedia
Quan Fang, Jitao Sang, Changsheng Xu
2013 — conf
Paint the City Colorfully: Location Visualization from Multiple Themes.
MMM (1)
Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu
2012 A conf
Saliency Aware Locality-preserving Coding for Image Classification.
ICME
Quan Fang, Jitao Sang, Changsheng Xu