基本信息
方全  男    中国科学院自动化研究所
电子邮件: qfang@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号
邮政编码: 100190

研究领域

多媒体知识计算,多媒体内容分析,知识图谱,网络数据挖掘

招生信息

   
招生专业
081104-模式识别与智能系统
0812J2-社会计算
081203-计算机应用技术
招生方向
多媒体知识计算,多媒体内容分析

教育背景

2010-08--2015-07   中国科学院自动化研究所   工科博士
2006-09--2010-07   北京航空航天大学   工科学士

工作经历

   
工作简历
2017-11~现在, 中国科学院自动化研究所, 副研究员
2016-10~2017-10,中国科学院自动化研究所, 助理研究员
2015-07~2016-10,北京阿里巴巴云计算技术有限公司, 资深算法工程师
社会兼职
2018-09-14-今,CCF多媒体专委会委员,

专利与奖励

   
奖励信息
(1) 2019年中国多媒体大会最佳论文奖, 其他, 2019
(2) 2018年中国多媒体大会(ChinaMM)多媒体前沿技术杰出展示奖, 其他, 2018
(3) 2016年中国科学院优秀博士论文, 部委级, 2016
(4) 2016中国人工智能学会优秀博士论文, 其他, 2016
(5) 2013年微软亚洲研究院学者, 其他, 2013
专利成果
[1] 徐常胜, 钱胜胜, 方全. 基于有监督对比的跨模态检索方法、系统及设备. CN: CN113239214A, 2021-08-10.
[2] 徐常胜, 方全, 李泳锡. 文本链接嵌入方法. CN: CN109408743B, 2020-11-17.
[3] 徐常胜, 钱胜胜, 方全. 自适应标签感知的图卷积网络跨模态检索方法、系统. CN: CN111914156A, 2020-11-10.
[4] 徐常胜, 张莹莹, 钱胜胜, 方全. 基于多模态知识感知的医疗问答检索方法、系统、装置. CN: CN110895561A, 2020-03-20.
[5] 徐常胜, 黄晓雯, 方全, 钱胜胜, 桑基韬. 基于元路径的上下文感知用户建模方法、序列推荐方法. CN: CN110717098A, 2020-01-21.
[6] 徐常胜, 黄晓雯, 方全, 钱胜胜, 桑基韬. 基于知识图谱的用户建模方法、序列推荐方法. CN: CN110516160A, 2019-11-29.
[7] 方全, 徐常胜. 智能对话方法、装置、存储介质及设备. CN: CN110209897A, 2019-09-06.
[8] 徐常胜, 方全, 李泳锡. 热点话题检测方法及装置. CN: CN109582783A, 2019-04-05.
[9] 徐常胜, 桑基韬, 方全. 在社交媒体网络上自动筛选有影响力用户的方法. 中国: CN103020116A, 2013-04-03.

出版信息

   
发表论文
[1] 钱胜胜, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu. Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. ACMSIGIRnull. 2021, [2] 钱胜胜, Xu Changsheng. Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. AAAI[J]. 2021, [3] Xu Changsheng. Global Relation-Aware Attention Network for Image-Text Retrieval. ICMR. 2021, [4] Chen, Chaofan, Qian, Shengsheng, Fang, Quan, Xu, Changsheng. HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 2335-2346, [5] Qian, Shengsheng, Hu, Jun, Fang, Quan, Xu, Changsheng. Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2021, 17(3): http://dx.doi.org/10.1145/3451215.
[6] Hu, Jun, Qian, Shengsheng, Fang, Quan, Xu, Changsheng. Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 2321-2334, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000679533800013.
[7] Hu, Jun, Qian, Shengsheng, Fang, Quan, Wang, Youze, Zhao, Quan, Zhang, Huaiwen, Xu, Changsheng. Efficient Graph Deep Learning in TensorFlow with tf_geometric. 2021, http://arxiv.org/abs/2101.11552.
[8] ShengSheng Qian. Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection. IEEE Transactions on Multimedia (TMM). 2021, [9] Zhang, Yingying, Fang, Quan, Qian, Shengsheng, Xu, Changsheng. Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2020, 11(4): http://dx.doi.org/10.1145/3384675.
[10] Huang, Xiaowen, Qian, Shengsheng, Fang, Quan, Sang, Jitao, Xu, Changsheng. Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2020, 16(2): http://dx.doi.org/10.1145/3382180.
[11] 赵泉, 胡骏, 方全, 钱胜胜, 徐常胜. 面向社交媒体的高质量内容识别. 计算机辅助设计与图形学学报[J]. 2020, 32(6): 943-949, http://lib.cqvip.com/Qikan/Article/Detail?id=7101995878.
[12] 张莹莹, 钱胜胜, 方全, 徐常胜. 基于多模态知识感知注意力机制的问答方法. 计算机研究与发展[J]. 2020, 57(5): 1037-1045, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=JFYZ202005012&v=Mjc4NTJxbzlFWm9SOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVaK1J2RmlyblZyM0JMeXZTZExHNEhOSE0=.
[13] 方全. Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answerin. ACM Multimedia. 2019, [14] Zhang, Huaiwen, Fang, Quan, Qian, Shengsheng, Xu, Changsheng, ACM. Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 1942-1951, http://dx.doi.org/10.1145/3343031.3350850.
[15] Hu, Jun, Qian, Shengsheng, Fang, Quan, Xu, Changsheng, ACM. Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 1157-1165, http://dx.doi.org/10.1145/3343031.3350966.
[16] Huang, Xiaowen, Fang, Quan, Qian, Shengsheng, Sang, Jitao, Li, Yan, Xu, Changsheng, ACM. Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 548-556, http://dx.doi.org/10.1145/3343031.3350893.
[17] Hu, Jun, Qian, Shengsheng, Fang, Quan, Liu, Xueliang, Xu, Changsheng. A(2) CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2019, 15(2): http://dx.doi.org/10.1145/3321506.
[18] Zhang Huaiwen, Fang Quan, Qian Shengsheng, Xu Changsheng, ACM. Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 681-689, http://dx.doi.org/10.1145/3240508.3240586.
[19] Huang Xiaowen, Qian Shengsheng, Fang Quan, Sang Jitao, Xu Changsheng, ACM. CSAN: Contextual Self-Attention Network for User Sequential Recommendation. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 447-455, http://dx.doi.org/10.1145/3240508.3240609.
[20] Zuo, Yukun, Fang, Quan, Qian, Shengsheng, Zhang, Xiaorui, Xu, Changsheng, IEEE. Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions. 2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)null. 2018, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000630423400050.
[21] Hu, Jun, Qian, Shengsheng, Fang, Quan, Xu, Changsheng, ACM. Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 456-464, http://dx.doi.org/10.1145/3240508.3240626.
[22] Sang, Jitao, Fang, Quan, Xu, Changsheng. Exploiting Social-Mobile Information for Location Visualization. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2017, 8(3): https://www.webofscience.com/wos/woscc/full-record/WOS:000400160800006.
[23] Fang, Quan, Xu, Changsheng, Sang, Jitao, Hossain, M Shamim, Ghoneim, Ahmed. Folksonomy-Based Visual Ontology Construction and Its Applications. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2016, 18(4): 702-713, https://www.webofscience.com/wos/woscc/full-record/WOS:000372790300012.
[24] Fang, Quan, Xu, Changsheng, Hossain, M Shamim, Muhammad, G. STCAPLRS: A Spatial-Temporal Context-Aware Personalized Location Recommendation System. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY[J]. 2016, 7(4): https://www.webofscience.com/wos/woscc/full-record/WOS:000380322200016.
[25] Fang, Quan, Xu, Changsheng, Sang, Jitao, Hossain, M Shamim, Muhammad, Ghulam. Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2015, 17(12): 2281-2296, http://ir.ia.ac.cn/handle/173211/10521.
[26] 路冬媛, 徐常胜, 桑基韬, 方全, 项连城. 基于社交媒体的关联性用户属性推断. 软件学报[J]. 2015, 26(Suppl.(2)): 145-154, http://ir.ia.ac.cn/handle/173211/14448.
[27] Fang, Quan, Sang, Jitao, Xu, Changsheng, Hossain, M Shamim. Relational User Attribute Inference in Social Media. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2015, 17(7): 1031-1044, https://www.webofscience.com/wos/woscc/full-record/WOS:000356522300010.
[28] Fang, Quan, Sang, Jitao, Xu, Changsheng, Rui, Yong. Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2014, 16(3): 796-812, https://www.webofscience.com/wos/woscc/full-record/WOS:000333111500019.
[29] 邱泽宇, 徐常胜, 桑基韬, 方全. 基于区域上下文感知的图像标注. 计算机学报[J]. 2014, 37(6): 1390-1397, http://lib.cqvip.com/Qikan/Article/Detail?id=50231309.
[30] Fang, Quan, Sang, Jitao, Xu, Changsheng. Discovering Geo-Informative Attributes for Location Recognition and Exploration. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2014, 11(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000343984800011.
[31] Fang Quan, Sang Jitao, Xu Changsheng. GIANT: Geo-informative attributes for location recognition and exploration. ACM INTERNATIONAL CONFERENCE ON MULTIMEDIAnull. 2013, 13-22, http://ir.ia.ac.cn/handle/173211/4247.

科研活动

   
科研项目
( 1 ) 面向社会多媒体内容的知识表达研究, 主持, 国家级, 2018-01--2020-12
( 2 ) 大数据环境下复杂多媒体内容分析、推送与展示, 参与, 国家级, 2015-01--2019-12
( 3 ) 基于实时行为数据的个性化健康管理, 参与, 国家级, 2018-01--2022-12
( 4 ) 大数据多模态交互协同关键技术, 参与, 国家级, 2018-01--2022-12