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牛树梓
2023-05-16 16:23
  • 牛树梓
  • 牛树梓 - 硕导-中国科学院大学-计算机科学与技术学院-个人资料

近期热点

资料介绍

个人简历


招生专业
081202-计算机软件与理论
招生方向
信息检索,数据挖掘,机器学习
教育背景
2009-09--2014-07 中国科学院计算技术研究所 博士
2007-09--2009-07 东北大学 硕士
2003-09--2007-07 东北大学 学士

科研项目
( 1 ) 面向移动应用的个性化排序学习研究, 主持, 国家级, 2017-01--2019-12
( 2 ) 基于知识图谱推理的实体检索模型研究, 主持, 国家级, 2021-01--2024-12

研究领域


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近期论文


(1) Latent Graph Recurrent Network for Document Ranking, Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, 2021, 通讯作者
(2) Topological Interpretable Multi-scale Sequential Recommendation, Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, 2021, 第 2 作者
(3) Hierarchical Region Learning for Nested Named Entity Recognition, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020,, 2020, 第 2 作者
(4) 一种基于CW-RNN的多时间尺度序列建模推荐算法, 中文信息学报, 2020, 第 2 作者
(5) 双特征空间的实体排序学习, 中文信息学报, 2020, 第 2 作者
(6) Robust Sequence Embedding for Recommendation, Proceeding of he 13th International Conference on Knowledge Science, Engineering and Management (KSEM2020), 2020, 第 2 作者
(7) Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction, Journal of Computer Science and Technology, 2019, 第 3 作者
(8) Hierarchical Matching Network for Crime Classification, Proceedings of the 42nd international ACM SIGIR conference on Research and development in information retrieval, 2019, 第 4 作者
(9) Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles, Proceedings of the 41th international ACM SIGIR conference on Research and development in information retrieval, 2018, 通讯作者
(10) K-plet Recurrent Neural Networks for Sequential Recommendation, Proceedings of the 41th international ACM SIGIR conference on Research and development in information retrieval, 2018, 第 2 作者
(11) Improving Variational Encoder-Decoders in Dialogue Generation, Proceedings of The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018, 第 3 作者
(12) Collaborative Sequence Prediction for Sequential Recommender, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017, 第 1 作者
(13) A Conditional Variational Framework for Dialog Generation, Proceedings of annual meeting of the Association for Computational Linguistics (ACL2017), 2017, 第 5 作者
(14) Wake-Sleep Variational Autoencoders for Language Modeling, Proceedings of International Conference on Neural Information Processing(ICONIP2017), 2017, 第 3 作者
(15) DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset, Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, 2017, 第 6 作者
(16) Bridging Semantic Gap Between App Names: Collective Matrix Factorization for Similar Mobile App Recommendation, Proceedings of International Conference on Web Information Systems Engineering - WISE 2016, 2016, 第 2 作者
(17) Which noise affects algorithm robustness for learning to rank, Information Retrieval Journal, 2015, 第 1 作者
(18) Listwise Approach for Rank Aggregation in Crowdsourcing, Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, 2015, 第 1 作者

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