教授
博士生导师
硕士生导师
性别：男
学历：研究生(博士)毕业
学位：博士生
在职信息：在职
所在单位：计算机科学与技术学院
入职时间：1976-12-01
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最后更新时间：..
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[21]
林于杰.
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation.
IEEE Transactions on Knowledge and Data Engineering,
32,
1502,
2020.
-
[22]
马沐阳.
pi-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations.
685,
2019.
-
[23]
宋雪萌 , 聂礼强 , 甘甜 , 马军 and 刘金环.
An End-to-End Attention-Based Neural Model for Complementary Clothing Matching.
ACM Transactions on Multimedia Computing, Communications and Applications,
15,
2019.
-
[24]
聂礼强 , 马军 and 郭洋洋.
Attentive Long Short-Term Preference Modeling for Personalized Product Search.
ACM Transactions on Information Systems,
37,
2019.
-
[25]
陈竹敏 , 任昭春 and 马军.
Order-free Medicine Combination Prediction With Graph Convolutional Reinforcement Learning.
2019.
-
[26]
马军 and -QURESHI, IMRAN QURESHI.
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy.
Symmetry-Basel,
11,
2019.
-
[27]
马军 and 马茜.
A robust method to discover influential users in social networks.
Soft Computing,
23,
1283,
2017.
-
[28]
陈竹敏 , 任昭春 , 马军 and 林于杰.
Explainable fashion recommendation with joint outfit matching and comment generation.
IEEE Transactions on Knowledge and Data Engineering (TKDE),
2019.
-
[29]
陈竹敏 , 马军 and 王梅瑞.
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules.
2019.
-
[30]
陈竹敏 , 马军 and 马沐阳.
π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations.
2019.
-
[31]
宋雪萌 , 陈竹敏 , 马军 and 刘金环.
Neural fashion experts: I know how to make the complementary clothing matching.
Neurocomputing,
2019.
-
[32]
陈竹敏 , 任昭春 , 马军 and 林于杰.
Improving Outfit Recommendation with Co-supervision of Fashion Generation.
2019.
-
[33]
陈竹敏 , 聂礼强 , 马军 and 梅磊.
An Attentive Interaction Network for Context-aware Recommendations.
2018.
-
[34]
陈竹敏 , 任昭春 , 聂礼强 , 马军 and 任鹏杰.
Sentence Relations for Extractive Summarization with Deep Neural Networks.
ACM Transactions on Information Systems (TOIS),
2018.
-
[35]
陈竹敏 , 任昭春 , 马军 and 任鹏杰.
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model.
2017.
-
[36]
马军.
Automatical pattern-based domain knowledge extraction from websites.
《Journal of Computational Information Systems》,
8,
6687,
2012.
-
[37]
陈竹敏 , 马军 and 廉涛.
Understanding the Pulse of the Online Video Viewing Behavior on Smart TVs.
SOCIAL MEDIA PROCESSING, SMP 2017,
774,
331,
2017.
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[38]
陈竹敏 , 马军 , 任昭春 and 任鹏杰.
User session level diverse reranking of search results.
Neurocomputing,
274,
66,
2018.
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[39]
陈竹敏 , 马军 and 廉涛.
Temporal patterns of the online video viewing behavior of smart TV viewers.
Journal of the Association for Information Science and Technology,
69,
647,
2018.
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[40]
马军 and Han, Xiaohui.
Linking Multiple Online Identities in Criminal Investigations: A Spectral Co-Clustering Framework.
IEEE Transactions on Information Forensics and Security,
12,
2242,
2017.
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