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
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
访问量:
最后更新时间:..
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[1]
刘金环.
Auxiliary Template-Enhanced Generative Compatibility Modeling.
2021.
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[2]
刘金环.
MGCM: Multi-modal generative compatibility modeling for clothing matching.
Neurocomputing,
414,
215,
2020.
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[3]
马军.
一种信任关系强度敏感的社会化推荐算法.
《计算机研究与发展》,
50,
1805,
2013.
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[4]
任鹏杰.
Few-shot Variational Reasoning for Medical Dialogue Generation.
2021.
-
[5]
陈竹敏.
RefNet: A Reference-aware Network for Background Based Conversation.
2020.
-
[6]
陈竹敏.
Information Retrieval: a View from the Chinese IR Community.
Frontiers of Computer Science,
2021.
-
[7]
陈竹敏.
Coding Electronic Health Records with Adversarial Reinforcement Path Generation.
2020.
-
[8]
陈竹敏.
Meta Matrix Factorization for Federated Rating Predictions.
2020.
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[9]
林于杰.
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation.
IEEE Transactions on Knowledge and Data Engineering,
32,
1502,
2020.
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[10]
马沐阳.
pi-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations.
685,
2019.
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[11]
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.
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[12]
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.
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[13]
陈竹敏 , 任昭春 and 马军.
Order-free Medicine Combination Prediction With Graph Convolutional Reinforcement Learning.
2019.
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[14]
马军 and -QURESHI, IMRAN QURESHI.
Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy.
Symmetry-Basel,
11,
2019.
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[15]
马军 and 马茜.
A robust method to discover influential users in social networks.
Soft Computing,
23,
1283,
2017.
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[16]
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.
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[17]
陈竹敏 , 马军 and 王梅瑞.
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules.
2019.
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[18]
陈竹敏 , 马军 and 马沐阳.
π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations.
2019.
-
[19]
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.
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[20]
陈竹敏 , 任昭春 , 马军 and 林于杰.
Improving Outfit Recommendation with Co-supervision of Fashion Generation.
2019.
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