基本信息


杨敏女中国科学院深圳先进技术研究院
电子邮件： min.yang@siat.ac.cn
通信地址： 广东省深圳市南山区学苑大道1068号
邮政编码： 518055
个人主页：https://minyang.me/

部门/实验室：数字所
研究领域
1. 自然语言处理（包括智能问答、阅读理解、文本摘要、知识图谱、情感分析、主题模型）；
2.自然语言处理与法律、金融、医学等领域的交叉课题；
3. 多模态信息处理（例如图片描述生成等）。
详情请参考个人主页：https://minyang.me/




招生信息?


招生专业081203-计算机应用技术
0812J2-社会计算

招生方向自然语言处理
人工智能
数据挖掘


教育背景
学历
博士


学位博士

博士学历2012年9月-2017年12月， 香港大学，博士

工作经历
2020年1月到现在，中国科学院深圳先进技术研究院，副研究员
2017年11月到2019年12月，中国科学院深圳先进技术研究院，助理研究员





社会兼职2017-09-01-今,The AAAI Conference on Artificial Intelligence, PC Member
2017-02-02-今,International Joint Conference on Artificial Intelligence, PC Member


教授课程
数据挖掘2018 年暑假，中国科学院深圳先进技术研究院，讲师，数据挖掘 (40 课时)

专利与奖励
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奖励信息（1） 中国人工智能学会 2018 年度最佳青年科技成果奖, 特等奖, 其他, 2018
（2） 海外高层次人才 (孔雀计划) C 类, , 市地级, 2018
（3） 深圳市南山区“领航人才”C类, 市地级, 2018
（4） AAAI’17 学生奖学金, 其他, 2017
（5） SIGIR‘16 旅行奖学金, 其他, 2016
（6） 香港大学研究生奖学金, 研究所（学校）, 2016
（7） AAAI‘15 学生奖学金, 其他, 2015

专利成果

出版信息完整论文列表请看个人主页（https://minyang.me/）

发表论文（1）A Semi-Supervised Model for Knowledge Graph Embedding,Data Mining and Knowledge Discovery (中科院二区，IF:2.481),2019,第3作者
（2）KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation,Journal of Cheminformatics (中科院一区, IF: 3.893),2019,第3作者
（3）NAIRS: A Neural Attentive Interpretable Recommendation System,ACM International Conference on Web Search and Data Mining (CCF B, 通讯作者),2019,第3作者
（4）Answer-enhanced Path-aware Relation Detection over Knowledge Base,The 42nd International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR) (CCF A),2019,第2作者
（5）An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks,IEEE Transactions on Cybernetics (中科院一区, IF: 8.803),2019,第1作者
（6）HierarchicalHuman- like Strategy for Aspect-level Sentiment classification with Sentiment Linguistic Knowledge and Reinforcement Learning,Neural Networks (中科院一区, IF: 7.197),2019,第1作者
（7）Discovering Author Inter- est Evolution in Order-sensitive and Semantic-aware Topic Modeling,Information Sciences (中科院一区, IF: 4.305),2019,第1作者
（8）Neural Attentive Network for Cross-Domain Aspect-level Sentiment Classification,IEEE Transactions on Affective Computing (中科院二区, IF: 4.585),2019,第1作者
（9）Advanced Community Question Answering by Leveraging External Knowledge and Multi-task Learning,Knowledge-Based Systems (中科院二区, IF: 4.396),2019,第1作者
（10）Leveraging Long and Short-term Information in Content-aware Movie Recommendation via Adversarial Training,IEEE Transactions on Cybernetics (通讯作者, 中科院一区, IF: 8.803),2019,第3作者
（11）Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning,International Joint Conference on Artificial Intelligence (IJCAI) (CCF A),2019,第1作者
（12）Exploring Human-Like Reading Strategy for Abstractive Text Summarization,The AAAI Conference on Artificial Intelligence (AAAI) (CCF A),2019,第1作者
（13）A Human-like Semantic Cog- nition Network for Aspect-level Sentiment Classification,The AAAI Conference on Artificial Intelligence (AAAI) (CCF A),2019,第3作者
（14）Multi- Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering,The AAAI Conference on Artificial Intelligence (AAAI) (CCF A),2019,第4作者
（15）GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks,IEEE International Conference on Computer Communications (IEEE INFOCOM) (通讯作者，CCF A),2019,第5作者
（16）TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering,Pattern Recognition (中科院一区, IF:3.692),2018,第2作者
（17）PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data,IEEE Transactions on Knowledge and Data Engineering （CCF A）,2018,第3作者
（18）Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks,Information Sciences (中科院一区, IF: 4.305),2018,第3作者
（19）A Novel Approach for Entity Resolution in Scientific Documents using a Context Graph,Information Sciences (中科院一区, IF: 4.305),2018,第4作者
（20）Multi-task Learning for Author Profiling with Hierarchical Features,The 27th International World Wide Web Conference (WWW) (CCF A, 通讯作者),2018,第3作者
（21）Aspect and Sentiment Aware Abstractive Review Summarization,The 27th International Conference on Computational Linguistics (COLING) (CCF B),2018,第1作者
（22）Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation,The SIAM International Conference on Data Mining (SDM) (CCF B),2018,第1作者
（23）Investigating Capsule Networks with Dynamic Routing for Text Classification,International Conference on Empirical Methods in Natural Language Processing (EMNLP) (CCF B, 通讯作者),2018,第3作者
（24）Spectral Clus- tering of Large-scale Data by Directly Solving Normalized Cut,The 24rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (CCF A),2018,第5作者
（25）Improving Automatic Source Code Summarization via Deep Reinforcement Learning,The 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) (CCF A),2018,第3作者
（26）Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning,International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, 通讯作者),2018,第4作者
（27）Ontology Evaluation with Path-based Text-aware Entropy Computation,The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A),2018,第3作者
（28）Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs,The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A),2018,第3作者
（29）A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification,The 56nd Annual Meeting of the Association for Compu- tational Linguistics (ACL) (CCF A),2018,第3作者
（30）Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge,The 27th Inter- national Conference on Computational Linguistics (COLING) (CCF B),2018,第3作者
（31）Personalized Response Generation by Dual-learning based Domain Adaptation,Neural Networks (中科院一区, IF: 7.197),2018,第1作者
（32）Multitask Learning for Cross-domain Image Captioning,IEEE Transactions on Multimedia (中科院二区, IF: 3.977),2018,第1作者
（33）Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization by Combining Topic Modeling and Deep Reinforcement Learning,Neural Computing and Applications (中科院二区，IF: 4.213),2018,第1作者
（34）MARES: Mul- titask Learning Algorithm for Web-scale Real-time Event Summarization,World Wide Web Journal (CCF B),2018,第1作者
（35）Feature-enhanced At- tention Network for Target-dependent Sentiment Classification,Neurocomputing (中科院二区, IF:3.241),2018,第1作者
（36）A Topic Drift Model for Authorship Attribution,Neurocomputing (中科院二区, IF:3.241),2018,第1作者
（37）Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks,Information Systems (通讯作者, CCF B, IF:2.777),2018,第2作者
（38）PLASTIC: Pri- oritize Long and Short-term Information in Top-n Recommendation using Adversarial Training,International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, 通讯作者),2018,第5作者
（39）A Multi- task Learning Approach for Image Captioning,International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, 通讯作者),2018,第4作者
（40）Activity Recommendation with Partners,ACM Transactions on the Web (CCF B),2017,第4作者
（41）Subspace Weighting Co-Clustering of Gene Expression Data,IEEE/ACM Transactions on Computational Biology and Bioinformatics (CCF B),2017,第4作者
（42）Personalized Response Generation via Domain Adaptation,The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A),2017,第1作者
（43）Attention-based LSTM for Target-dependent Sentiment Classification,The 29th AAAI Conference on Artificial Intelligence (AAAI) (CCF A),2017,第1作者
（44）Detecting Review Spammer Groups,The29thAAAI Conference on Artificial Intelligence (AAAI ) (CCF A),2017,第1作者
（45）Identifying and Tracking Location-based Sentiment and Topic from Social Media Texts,International Conference on Em- pirical Methods in Natural Language Processing (EMNLP) (CCF B),2017,第1作者
（46）Dual learning for Cross-domain Image Captioning,International Conference on Information and Knowledge Management (CIKM) (CCF B, 通讯作者),2017,第3作者
（47）Learning Max- Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggesiton,The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A),2017,第4作者
（48）Directly Minimizing Normalized Cut for Large Scale Data,International Joint Conference on Artificial Intelligence (IJCAI) (CCF A, 通讯作者),2017,第4作者
（49）Integrating Side Information for Boosting Machine Comprehension,International Conference on Information and Knowledge Management (CIKM) (CCF B),2017,第3作者
（50）Discovering Author Interest Evolution in Topic Modeling,The 39th International ACM SIGIR Conference on Research and Develop- ment in Information Retrieval (SIGIR) （CCF A）,2016,第1作者
（51）Investment Recommenda- tion using Investor Opinions in Social Media,The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (CCF A),2016,第4作者
（52）Deep Markov Neural Network for Sequential Data Classification,The 53rd Annual Meeting of the Association for Computational Linguistics (ACL) (CCF A),2015,第1作者
（53）Order-sensitive and Semantic-aware Topic Modeling,The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) (CCF A),2015,第1作者
（54）LCCT: A Semi-supervised Model for Sentiment Classification,The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) (CCF C),2015,第1作者
（55）A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon,The 52nd Annual Meeting of the Association for Computational Linguistics (ACL) (CCF A),2014,第1作者
（56）Learning Sentiment Lexicon with Supervised Sentiment-aware LDA,The 21st Erupean Conference on Artificial Intelligence (ECAI) (CCF B),2014,第1作者

发表著作（1）推荐系统与深度学习,清华大学出版社,2019-01,第5作者


科研活动
科研项目（ 1 ） 中科院深圳先进院-得理法律人工智能联合实验室, 主持,院级,2019-05--2022-05
（ 2 ） 基于多任务学习和知识图谱的开放域个性化智能聊天系统, 主持,院级,2018-11--2019-12
（ 3 ） 基于图割的线性无监督学习框架、扩展模型及大数据应用研究, 参与,国家级,2017-01--2021-12
（ 4 ） 面向高噪声海量文本数据的 实时无监督事件挖掘方法研究, 主持,市地级,2018-10--2020-10
（ 5 ） 推荐系统中垃圾信息的检测技术研究, 参与,省级,2019-01--2021-12


合作情况与香港大学、美国宾夕法尼亚大学、美国宾夕法尼亚州立大学、香港中文大学、美国伦斯勒理工学院、加拿大亚伯达大学、北京大学、清华大学、哈尔滨工业大学 (深圳)、浙江大学、华南理工大学、电子科技大学、腾讯、阿里的与专家保持着广泛的接触、交流与合作。




指导学生
学生指导协助指导多名本科生和研究生