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2020 – today
- 2025
[j28]Xujian Feng
, Haonan Chen, Quan Fang, Taibo Chen, Cuiwei Yang:
Non-invasive prediction of atrial fibrillation recurrence by recurrence quantification analysis on the fibrillation cycle length. Biomed. Signal Process. Control. 100: 107037 (2025)- [j27]Dizhan Xue, Shengsheng Qian, Quan Fang, Changsheng Xu:
LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering. IEEE Trans. Multim. 27: 16-27 (2025) - 2024
- [j26]Nuojia Xu, Jun Hu, Quan Fang, Dizhan Xue, Yongxi Li, Shengsheng Qian:
Tri-relational multi-faceted graph neural networks for automatic question tagging. Neurocomputing 576: 127250 (2024) - [j25]Jun Hu, Bryan Hooi, Shengsheng Qian, Quan Fang, Changsheng Xu:
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(7): 3281-3296 (2024) - [i5]Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan Fang:
ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihood. CoRR abs/2409.10571 (2024) - 2023
- [j24]Shengsheng Qian, Dizhan Xue, Quan Fang, Changsheng Xu:
Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4794-4811 (2023) - [j23]Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu:
Contrastive Multi-Modal Knowledge Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8983-8996 (2023) - [j22]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Wenkui Ding, Changsheng Xu:
Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation. IEEE Trans. Multim. 25: 2761-2773 (2023) - [j21]Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Changsheng Xu:
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation. ACM Trans. Inf. Syst. 41(1): 17:1-17:24 (2023) - [j20]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu:
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. ACM Trans. Inf. Syst. 41(3): 64:1-64:27 (2023) - [c24]Shengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, Changsheng Xu:
Open-World Social Event Classification. WWW 2023: 1562-1571 - 2022
- [j19]Xiaowei Zhang, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu:
TCKGE: Transformers with contrastive learning for knowledge graph embedding. Int. J. Multim. Inf. Retr. 11(4): 589-597 (2022) - [j18]Desheng Cai, Shengsheng Qian, Quan Fang, Changsheng Xu:
Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation. IEEE Trans. Multim. 24: 805-818 (2022) - [j17]Huaiwen Zhang, Shengsheng Qian, Quan Fang, Changsheng Xu:
Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection. IEEE Trans. Multim. 24: 1449-1459 (2022) - [j16]Shengsheng Qian, Dizhan Xue, Quan Fang, Changsheng Xu:
Adaptive Label-Aware Graph Convolutional Networks for Cross-Modal Retrieval. IEEE Trans. Multim. 24: 3520-3532 (2022) - [c23]Desheng Cai, Shengsheng Qian, Quan Fang, Jun Hu, Changsheng Xu:
Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation. ACM Multimedia 2022: 581-590 - [c22]Dizhan Xue, Shengsheng Qian, Quan Fang, Changsheng Xu:
MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer. ACM Multimedia 2022: 750-758 - [c21]Zhangming Li, Shengsheng Qian, Jie Cao, Quan Fang, Changsheng Xu:
Adaptive Transformer-Based Conditioned Variational Autoencoder for Incomplete Social Event Classification. ACM Multimedia 2022: 1698-1707 - [i4]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. CoRR abs/2204.02338 (2022) - 2021
- [j15]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. IEEE Trans. Multim. 23: 2321-2334 (2021) - [j14]Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu:
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE Trans. Multim. 23: 2335-2346 (2021) - [j13]Huaiwen Zhang, Shengsheng Qian, Quan Fang, Changsheng Xu:
Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection. IEEE Trans. Multim. 23: 4441-4454 (2021) - [j12]Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu:
Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 98:1-98:23 (2021) - [c20]Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu:
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. AAAI 2021: 2440-2448 - [c19]Jie Cao, Shengsheng Qian, Huaiwen Zhang, Quan Fang, Changsheng Xu:
Global Relation-Aware Attention Network for Image-Text Retrieval. ICMR 2021: 19-28 - [c18]Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu:
Efficient Graph Deep Learning in TensorFlow with tf_geometric. ACM Multimedia 2021: 3775-3778 - [c17]Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu:
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. SIGIR 2021: 153-162 - [i3]Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu:
Efficient Graph Deep Learning in TensorFlow with tf_geometric. CoRR abs/2101.11552 (2021) - [i2]Desheng Cai, Jun Hu, Shengsheng Qian, Quan Fang, Quan Zhao, Changsheng Xu:
GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation. CoRR abs/2111.10342 (2021) - [i1]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. CoRR abs/2112.01110 (2021) - 2020
- [j11]Jinguang Wang, Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Multimodal graph convolutional networks for high quality content recognition. Neurocomputing 412: 42-51 (2020) - [j10]Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu:
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation. ACM Trans. Intell. Syst. Technol. 11(4): 37:1-37:20 (2020) - [j9]Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, Changsheng Xu:
Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 52:1-52:24 (2020) - [c16]Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu:
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion. CIKM 2020: 2053-2056 - [c15]Youze Wang, Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu:
Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. ICMR 2020: 540-547 - [c14]Jun Hu, Quan Fang, Shengsheng Qian, Changsheng Xu:
Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching. ACM Multimedia 2020: 3505-3513 - [c13]Yingying Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu:
Multi-modal Multi-relational Feature Aggregation Network for Medical Knowledge Representation Learning. ACM Multimedia 2020: 3956-3965
2010 – 2019
- 2019
- [j8]Jun Hu, Shengsheng Qian, Quan Fang, Xueliang Liu, Changsheng Xu:
A2CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 45:1-45:17 (2019) - [c12]Xiaowen Huang, Quan Fang, Shengsheng Qian, Jitao Sang, Yan Li, Changsheng Xu:
Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation. ACM Multimedia 2019: 548-556 - [c11]Yingying Zhang, Shengsheng Qian, Quan Fang, Changsheng Xu:
Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answering. ACM Multimedia 2019: 1089-1097 - [c10]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching. ACM Multimedia 2019: 1157-1165 - [c9]Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu:
Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection. ACM Multimedia 2019: 1942-1951 - 2018
- [c8]Yukun Zuo, Quan Fang, Shengsheng Qian, Xiaorui Zhang, Changsheng Xu:
Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions. BigMM 2018: 1-5 - [c7]Xiaowen Huang, Shengsheng Qian, Quan Fang, Jitao Sang, Changsheng Xu:
CSAN: Contextual Self-Attention Network for User Sequential Recommendation. ACM Multimedia 2018: 447-455 - [c6]Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu:
Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia. ACM Multimedia 2018: 456-464 - [c5]Huaiwen Zhang, Quan Fang, Shengsheng Qian, Changsheng Xu:
Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering. ACM Multimedia 2018: 681-689 - 2017
- [j7]Jitao Sang, Quan Fang, Changsheng Xu:
Exploiting Social-Mobile Information for Location Visualization. ACM Trans. Intell. Syst. Technol. 8(3): 39:1-39:19 (2017) - [c4]Xiaowen Huang, Yuqi Gao, Quan Fang, Jitao Sang, Changsheng Xu:
Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction. ACM Multimedia 2017: 1895-1900 - 2016
- [j6]Quan Fang, Changsheng Xu, M. Shamim Hossain, Ghulam Muhammad:
STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System. ACM Trans. Intell. Syst. Technol. 7(4): 59:1-59:30 (2016) - [j5]Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Ahmed Ghoneim:
Folksonomy-Based Visual Ontology Construction and Its Applications. IEEE Trans. Multim. 18(4): 702-713 (2016) - 2015
- [j4]Quan Fang, Jitao Sang, Changsheng Xu, M. Shamim Hossain:
Relational User Attribute Inference in Social Media. IEEE Trans. Multim. 17(7): 1031-1044 (2015) - [j3]Quan Fang, Changsheng Xu, Jitao Sang, M. Shamim Hossain, Muhammad Ghulam:
Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media. IEEE Trans. Multim. 17(12): 2281-2296 (2015) - 2014
- [j2]Quan Fang, Jitao Sang, Changsheng Xu, Yong Rui:
Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning. IEEE Trans. Multim. 16(3): 796-812 (2014) - [j1]Quan Fang, Jitao Sang, Changsheng Xu:
Discovering Geo-Informative Attributes for Location Recognition and Exploration. ACM Trans. Multim. Comput. Commun. Appl. 11(1s): 19:1-19:23 (2014) - 2013
- [c3]Quan Fang, Jitao Sang, Changsheng Xu:
GIANT: geo-informative attributes for location recognition and exploration. ACM Multimedia 2013: 13-22 - [c2]Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu:
Paint the City Colorfully: Location Visualization from Multiple Themes. MMM (1) 2013: 92-105 - 2012
- [c1]Quan Fang, Jitao Sang, Changsheng Xu:
Saliency Aware Locality-preserving Coding for Image Classification. ICME 2012: 260-265
Coauthor Index
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