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马军

Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Name (Simplified Chinese):马军

Name (Pinyin):majun

Date of Employment:1976-12-01

School/Department:计算机科学与技术学院

Education Level:Postgraduate (Doctoral)

Gender:Male

Degree:Doctor

Status:Employed

Whether on the job:0

Academic Honor:

Honors and Titles:

Current position: Home >> Scientific Research >> Paper Publications

[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 Recommenda. 685, 2019.
[23] songxuemeng , nieliqiang , Gan Tian , majun 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] nieliqiang , majun and 郭洋洋. Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM Transactions on Information Systems, 37, 2019.
[25] chenzhumin , Zhaochun Ren and majun. Order-free Medicine Combination Prediction With Graph Convolutional Reinforcement Learning. 2019.
[26] majun and -QURESHI, IMRAN QURESHI. Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy. Symmetry-Basel, 11, 2019.
[27] majun and 马茜. A robust method to discover influential users in social networks. Soft Computing, 23, 1283, 2017.
[28] chenzhumin , Zhaochun Ren , majun and 林于杰. Explainable fashion recommendation with joint outfit matching and comment generation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
[29] chenzhumin , majun and 王梅瑞. A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. 2019.
[30] chenzhumin , majun and 马沐阳. π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommenda. 2019.
[31] songxuemeng , chenzhumin , majun and 刘金环. Neural fashion experts: I know how to make the complementary clothing matching. Neurocomputing, 2019.
[32] chenzhumin , Zhaochun Ren , majun and 林于杰. Improving Outfit Recommendation with Co-supervision of Fashion Generation. 2019.
[33] chenzhumin , nieliqiang , majun and 梅磊. An Attentive Interaction Network for Context-aware Recommendations. 2018.
[34] chenzhumin , Zhaochun Ren , nieliqiang , majun and 任鹏杰. Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Transactions on Information Systems (TOIS), 2018.
[35] chenzhumin , Zhaochun Ren , majun and 任鹏杰. Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. 2017.
[36] majun. Automatical pattern-based domain knowledge extraction from websites. 《Journal of Computational Information Systems》, 8, 6687, 2012.
[37] chenzhumin , majun and 廉涛. Understanding the Pulse of the Online Video Viewing Behavior on Smart TVs. SOCIAL MEDIA PROCESSING, SMP 2017, 774, 331, 2017.
[38] chenzhumin , majun , Zhaochun Ren and 任鹏杰. User session level diverse reranking of search results. Neurocomputing, 274, 66, 2018.
[39] chenzhumin , majun 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.
[40] majun 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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