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吕子钰

[发表时间]:2017-10-27 [来源]: [浏览次数]:

联系方式: zylu@cufe.edu.cn

目前为中央财经大学信息学院计算机系讲师。2016年从香港大学计算机系获得 博士学位。在2016年11月到2017年6月期间,在香港理工大学为博士后副研究员。于2015年6月到2015年9月访问希腊的约阿尼纳大学。目前主要的研究方向包括大数据相关的数据挖掘,推荐系统(时空推荐系统),人工智能,自然语言处理,社交计算等。截止2017年8月,共发表17篇学术论文,学术引用达108次。

I received my Ph.D from theDepartment of Computer Science,The University of Hong Kongin 2016. I was a Postdoc Research Associateat Department of Computing,The Hong Kong Polytechnic University, from November 2016 to June 2017. I visitedUniversityof Ioannia, Greece from June 2015 to September2015. My current research interests include big-data based data mining, recommender system (e.g. spatial-temporal recommender system), artificial intelligence, natural language processing (e.g. option analysis, real-time stream text mining), social computing, etc. By August 2017, I have published 17 academic papers in top and famous international conferences and journals, which have got 108 citations (Google Scholar). My full publication list is in my English homepage and my DBLP entry.    

教育经历

2012年9月-2016年9月 香港大学(The University of Hong Kong),计算机系 (Computer Science),博士(Ph.D), 博士论文(THESIS / DISSERTATION) Location-aware Recommendation Problems, September 2016 (supervised by Prof. Nikos Mamoulis and Prof. David Wai-lok Cheung).

工作经历

2017年7月至今,中央财经大学 (Central University of Finance and Economics, CUFE),信息学院计算机系,讲师    

2016年11月-2017年6月 香港理工大学 (The Hong Kong Polytechnic University),博士后副研究员 (Postdoc Research Associate)    

2015年6月-2015年9月  希腊约阿尼纳大学 (University of Ioannia),访问学者 (Visiting Scholar)    

研究方向 (Research Interests)

大数据相关的数据挖掘 (Big-data based Data Mining),推荐系统 (Recommender System),人工智能 (Artificial Intelligence),自然语言处理 (Natural Language Processing,社交计算 (Social Computing)。

 

讲授课程

• 数据库系统 (Database System),中央财经大学 (CUFE), 2017 Fall.    

• 算法导论 (Introduction to Algorithms),(和白璐老师共同, co-teaching with Dr. Lu Bai),中央财经大学(CUFE), 2017 Fall.

研究成果

截至2017年8月,在国际顶级或著名期刊及会议发表17篇学术论文,其中2篇期刊论文被SCI检索,15篇会议论文EI检索,累计108次学术引用。其中在计算机学会CCF推荐A类会议发表6篇,B类会议及期刊发表2篇,C类会议及期刊发表4篇。

期刊论文

1.Min Yang, Xiaojun Chen, Wenting Tu,Ziyu Lu, Jia Zhu, Qiang Qu,A TopicDrift Model for Authorship Attribution,Neurocomputing, August 2017.

2.ZiyuLu,HaoWang, NikosMamoulis,WentingTu, David W. Cheung,Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity.Geoinformatica,21(3): 459-484, July 2017.

学术会议

1.HaihuiTan,ZiyuLu,WenjieLi,Neural Network based Reinforcement Learning for Real-time Pushing on Text Stream,Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Tokyo, July, 2017.

3.Yuqiu Qian,ZiyuLu, Nikos Mamoulis, David W. Cheung,P-LAG: Location-aware Group Recommendation for Passive Users,Proceedings of the 15th International Symposium on Spatial and Temporal Databases (SSTD), Arlington VA, August 2017.

4.ZiyuLu,HuiLi, NikosMamoulisand David W. Cheung,HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation, Proceedings of the SIAM International Conference on Data Mining (SDM), Houston, TX, April 27-29, 2017.

5.Min Yang,ZiyuLu,XiaojunChen,FeiXu,Detecting Review Spammer Groups, The 31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco,  February 49,  2017.

6.Min Yang,JinchengMei,FeiXu,WentingTu,ZiyuLu,Discovering Author Interest Evolution in Topic Modeling, Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016.

7.WentingTu, DavidW.Cheung, NikosMamoulis, Min Yang,ZiyuLu,Investment Recommendation using Investor Opinions in Social Media, Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016.

8.ZiyuLu,PanayiotisTsaparas,EvaggeliaPitoura, NikosMamoulis,Sentiment-based Topic Suggestion for Micro-reviews, The 10thInternational AAAI Conference on Web and Social Media (ICWSM), Cologne, Germany, May, 2016.

9.ZiyuLu,HaoWang, NikosMamoulis,WentingTu, David W. Cheung,Personalized Location Recommendation by Aggregating Multiple Recommenders in Diversity. Proceedings of the Workshop on Location-Aware Recommendations,LocalRec@RecSys2015, Vienna, Austria, September, 2015.

10.Min Yang,WentingTu,WenpengYin,ZiyuLu,Deep Markov Neural Network for Sequential DataClassication,The53rd Annual Meeting of the Association for ComputationalLinguitics(ACL), July, 2015.

11.Min Yang,WentingTu,ZiyuLu,WenpengYin,Kam-PuiChow, LCCT:A Semi-supervised Model for SentimentClassication, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (HLT-NAACL), Denver, Colorado, USA, May 31 - June 5, 2015.

12.WentingTu, D. W. Cheung, NikosMamoulis, Min Yang,ZiyuLu,Activity-Partner Recommendation, Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Ho Chi Minh City, Vietnam, May 2015.

13.WentingTu, D. W. Cheung, NikosMamoulis, Min Yang,ZiyuLu,Real-time Detection and Sorting of News onMicrobloggingPlatforms, Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC), 2015.

14.ZiyuLu, N.Mamoulis, and D. W. Cheung,A Collective Topic model for Milestone Paper Discovery, Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR), Gold Coast, Australia, July 2014.

15.ZiyuLu, Ling Chen,ChangjunFan,GencaiChen,Physiological Signals Based Fatigue Prediction Model for Motion Sensing Games, 9thAdvances in Computer Entertainment Conference, Kathmandu, Nepal, November, 2012.

16.ZiyuLv(ZiyuLu),FengXia,GuoweiWu, Lin Yao,ZhikuiChen,  iCare: A Mobile Health Monitoring System for the Elderly,The 3rd IEEE/ACMIntConfon Cyber, Physical and Social Computing (CPSCom), IEEE, Hangzhou, China, December 18-20, 2010.

研究项目

中央财经大学青年教师发展基金(主持人),“基于深度学习的位置相关的推荐服务” (QJJ1730),2018年1月-2019年12月,主持人

【上一篇】王卯宁

【下一篇】范丹

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