赵鑫
赵鑫，信息学院副教授 ( https://weibo.com/batmanfly)、博士生导师。博士师从北京大学李晓明教授，专注于研究面向文本内容的社交用户话题兴趣建模，曾获得2011年谷歌博士奖研金（该年大陆高校共4人获奖）和2012年微软亚洲博士奖研金（该年亚太高校共10人获奖）。近五年内在国内外著名学术期刊与会议上以第一作者或者第二作者身份发表论文60余篇，其中包括信息检索领域顶级学术期刊ACM TOIS和学术会议SIGIR、数据挖掘领域顶级学术期刊IEEE TKDE和学术会议SIGKDD、自然语言处理顶级会议ACL和EMNLP。所发表的学术论文取得了一定的关注度，据Google Scholar统计，已发表论文共计被引用2000余次，其中以第一作者发表的《Comparing Twitter and Traditional Media Using Topic Models》被引用1000余次。担任多个重要的国际会议或者期刊评审，入选第二届CCF青年人才发展计划。曾获得CIKM 2017最佳短文候选以及AIRS 2017最佳论文奖。目前担任计算机系首届图灵实验班班主任。
详细>>
个人主页：http://aibox.ruc.edu.cn/
电子邮箱：batmanfly@gmail.com; batmanfly@qq.com; batmanfly@ruc.edu.cn

详细资料

工作经历
中国人民大学信息学院，副教授, 2017年8月-至今
中国人民大学信息学院，讲师, 2014年8月-2017年8月
科大讯飞北京研究院，访问，2018年8月-至今
百度人工智能部，访问，2018年1月-2018年3月
微软亚洲研究院，铸星计划访问研究员， 2017年3月-2017年8月
微软亚洲研究院，实习生, 2013年9月 - 2014年1月
微软亚洲研究院，实习生, 2013年4月 - 2013年7月
新加坡管理大学，访问学生, 2010年3月 - 2011年1月

研究方向
--社交媒体数据挖掘，大数据挖掘技术，自然语言处理，人工智能
----推荐系统、用户画像、用户意图识别
----用户轨迹数据挖掘
----社交话题抽取
----语义分类、关键词抽取、自动摘要以及自动文本生成
----自动文本生成
----深度学习应用
----用户学习行为研究
----深度增强学习算法（例如，alphago等棋牌类游戏所采用的技术）

讲授课程
1、统计自然语言处理
2、数据仓库
3、计算社会学
4、金融软件实践
5、高级程序设计（C语言、初级算法）
6、程序设计实践（C++语言、初级算法）

对学生的培养要求
常年招收学术研究生、工程研究生，欢迎对我研究方向感兴趣的同学与我邮件联系。

对于我研究组的情况，请参考主页 (RUC AI Box)
http://aibox.ruc.edu.cn/

本小组设置知乎专栏，进行学术交流
https://zhuanlan.zhihu.com/RucAIBox
-------------------
送给各位来我网页驻足同学三句话童第周先生的两句话：
（1）“一定要争气。我并不比别人笨。别人能办到的事，我经过努力，一定也能办到。”
（2）“一定要争气。中国人并不比外国人笨。外国人认为很难办的事，我们中国人经过努力，一定能办到。”

还有一句《追梦赤子心》的歌词：
（1）“为了心中的美好，不妥协，一直到老”

科研项目
-. 国家面上基金，项目批准号：**
项目名称：基于记忆增强神经网络的用户兴趣理解与个性化推荐技术研究
-. 国家青年基金，项目批准号：**
项目名称：融合多网络社区身份的用户话题兴趣建模研究
-. 百度云服务项目（三期）
-. 北方工业大学大规模流数据集成与分析技术北京市重点实验室开放课题
-. 北京市自然基金面上项目，项目批准号：**
项目名称：面向社交短文本的分布式语义表示模型研究
-. 福建省信息处理与智能控制重点实验室开放课题
-. 广东省大数据分析与处理重点实验开放基金
-. CCF青年人才发展计划

科研成果
-Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song - Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding - ACL 2019 （CCF A）
-Jingyuan Wang, Ning Wu, Xin Zhao, Fanzhang Peng and Xin Lin - Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation - SIGKDD 2019 （CCF A）
-Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie - A Long-Short Demands-Aware Model for Next-Item Recommendation - SIGIR 2019 （CCF A）
-Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie - Supervised Hierarchical Cross-Modal Hashing - SIGIR 2019 （CCF A）
-KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems. Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen. To appear in Data intelligence. Online first.
-Neural Network based Popularity Prediction by Linking Online Content with Knowledge Bases. Wayne Xin zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Weng. To appear in PAKDD 2019. (CCF C)
-Taxonomy-aware Multi-hop Reasoning Networks for Sequential Recommendation. Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen and Daxiang Dong. To appear in WSDM 2019, full paper (CCF B)
-Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. Binbin Hu, Chuan Shi, Xin Zhao and Tianchi Yang. To appear in CIKM 2018 (CCF B, short paper)
-Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism. Binbin Hu, Chuan Shi, Xin Zhao and Philip S. Yu. To appear in KDD 2018 (CCF A).
-Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu and Hua Wu. To appear in ACL 2018 (CCF A)
-hyperdoc2vec: Distributed Representations of Hypertext Documents. Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi and Haisong Zhang. To appear in ACL 2018 (CCF A)
-Heterogeneous Information Network Embedding for Recommendation. Chuan Shi, Binbin Hu, Wayne Xin Zhao and Philip S. Yu, To appear in TKDE ******(CCF A, SCI)
-Improving Sequential Recommendation with Knowledge-enhanced Memory Networks. Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen and Edward Y. Chang. To appear in SIGIR 2018, full paper (CCF A)
-An Attribute-aware Neural Attentive Model for Next Basket Recommendation. Ting Bai, Jian-Yun Nie, Xin Zhao, Yutao Zhu, Pan Du and Ji-Rong Wen. To appear in SIGIR 2018, short paper (CCF A)
-Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. Ting Bai, Wanye Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen. To appear in IEEE TKDE 2018.******(CCF A, SCI)
-Automatically Learning Topics and Diculty Levels of Problems in Online Judge Systems. Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie and Ji-Rong Wen. To appear in ACM TOIS 2018.******(CCF A, SCI)
-Joint Representation Learning for Location-based Social Networks with Multi-Grained Sequential Contexts. Zhao Xin, Feifan Fan, Ji-Rong Wen and Edward Y Chang. To appear in ACM TKDD 2018.******(CCF B, SCI)
-A time-aware trajectory embedding model for next-location recommendation.Wayne
Xin Zhao, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y Chang. To appear in Knowledge and Information Systems, 2017.
-A Neural Collaborative Filtering Model with Interaction-based Neighborhood. Ting Bai, Ji-Rong Wen, Jun Zhang and Xiao Zhao. To appear in CIKM 2017 (short paper, best short paper runner-up).
-A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin. To appear in AIRS 2017. (best paper award)
-Probabilistic Local Matrix Factorization based on User Reviews. Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin. To appear in AIRS 2017.
-Local Representative based Matrix Factorization for Cold
Start Recommendation, Lei Shi, Xin Zhao and Yi-Dong Shen. To appear in ACM TOIS. ******(CCF A, SCI)
-A Correlated Topic Model Using Word Embeddings. Guangxu Xun, Yaliang Li,Xin Zhao, Jing Gao, Aidong Zhang. To appear in IJCAI 2017 ******(CCF A)
-Learning to Diversify Search Results via Subtopic Attention. Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue. To appear in SIGIR 2017 ******(CCF A)
-Cheng Yang, Maosong Sun, Zhao Xin, Zhiyuan Liu and Edward Chang. A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. To appear in ACM TOIS. ******(CCF A, SCI)
-Yuan Yao, Zhao Xin, Yaojing Wang, Hanghang Tong, Feng Xu and Jian Lu. Version-Aware Rating Prediction for Mobile App Recommendation. To appear in ACM TOIS. ******(CCF A, SCI)
-Zhao Xin, Zhang Wenhui, Wen Ji-Rong, Wang Shan, Chang Edward. A Probabilistic Lifestyle-based Trajectory Model for Social Strength Inference from Human Trajectory Data. To appear in TOIS. ******(CCF A, SCI)
-Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang. Bayesian Probabilistic Multi-Topic Matrix Factorization For Rating Prediction. To appear in IJCAI 2016. ******(CCF A)
-Ningnan Zhou, Wayne Xin Zhao,Ji-Rong Wen, Xiao Zhang, Shan Wang. A General Multi-Context Embedding Model For Mining Human Trajectory Data. To appear in TKDE. ******(CCF A, SCI)
-Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen and Xiaoming Li. Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On Microblogs. To appear in TKDE. ******(CCF A, SCI)
-Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao. Tweet Timeline Generation with Determinantal Point Processes. To appear in AAAI 2016. ******(CCF A)
-Ting Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen. An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data. To appear in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY ******(SCI).
-Jun Yin, Xin Zhao, Xiaoming Li. Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks.To appear in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY ******(SCI).
-Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li. Ranking and Tagging Bursty Features in Text Streams with Context Language Models. To appear in Frontier of Computer Science. ******(SCI)
-Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li. Generating Timeline Summaries with Social Media Attention.. To appear in Frontier of Computer Science. ******(SCI)
-Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew, Ji-Rong Wen, Xiaoming Li. A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. To appear in World Wide Web Journal. ******(SCI)
-Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li. Mining Product Adopter Information from Online Reviews for Improving Product Recommendation.. To appear in Transactions on Knowledge Discovery from Data.******(SCI)
-Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li. Exploring Demographic Information in Social Media for Product Recommendation. To appear in Knowledge and Information Systems. ******(SCI)
-Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen and Edward Chang. Mining Collective Knowledge: Inferring Functional Labels from Online Review Text For Business. To appear in Knowledge and Information Systems. ******(SCI)
-Jinpeng Wang, Wayne Xin Zhao, Yulan He and Xiaoming Li. Leveraging Product Adopter Information from Online Reviews for Product Recommendation. In ICWSM 2015.
-Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen. A General SIMD-based Approach to Accelerating Compression Algorithms. In ACM TOIS 2015. ******(CCF A, SCI)
-Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li. Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. In AAAI 2015. ******(CCF A)
-Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen and Xiaoming Li. Incorporating Social Role into Topic Models for Social Media Content Analysis. In IEEE TKDE 2014. ******(CCF A, SCI)
-Xin Zhao, YanweiGuo, Yulan He, Han Jiang, Yuexin Wu and Xiaoming Li. A Demographic-based System for Product Recommendation On Microblogs. In KDD 2014. ******(CCF A)
-Xin Zhao, Yuexin Wu, Hongfei Yan and XiaomingLi. Group based Self Training for E-Commerce Product Record Linkage. In COLING 2014.
-Yang Xiao, Xin Zhao, Kun Wang and Zhen Xiao. Warming up social startups via social login: a case study of question answering site. In COLING 2014.
-Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li. Infer User Interests via Link Structure Regularization. In ACM TIST 2014. ******(SCI)
-Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie and Xiaoming Li. Origi- nator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis. In CIKM’13, Short paper.
-Xin Zhao, YanweiGuo, Rui Yan, Yulan He and Xiaoming Li. Timeline Generation with Social Attention. In SIGIR’13, Short paper. ******(CCF A)
-Yang Lu, Xin Zhao, Hongfei Yan and Xiaoming Li. A Metric Learning based approach for evaluating time series similarity. In WAIM 2013. Full Oral Presentation.
-Jinpeng Wang, Xin Zhao and Xiaoming Li. Mining New Business Opportu- nities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs. In EMNLP’13.
-Yang Song, Jing Jiang, Xin Zhao and Houfeng Wang. Joint Learning for Coreference Resolution with Markov Logic. In EMNLP’12, Full Oral Presen- tation.
-Xin Zhao, BaihanShu, Jing Jiang, Yang Song and Xiaoming Li. Identifying Event-related Bursts via Social Media Activities. In EMNLP’12, Full Oral Presentation.
-Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaoming Li. A Novel Burst- based Text Representation Model for Scalable Event Detection. In ACL’12, Short Oral Presentation. ******(CCF A)
-Jinpeng Wang, Xin Zhao, Rui Yan, Haitian Wei, JianyunNie and Xiaoming Li. Using Lexical and Thematic Knowledge for Name Disambiguation. In AIRS’12, Full Oral Presentation.
-Dongdong Shan, Xin Zhao, Rishan Chen, BaihanShu, Hongfei Yan, Xi- aoming Li. EventSearch: A System for Event Discovery and Retrieval on Multi-Type Historical Data. In KDD’12, Demo.
-Xin Zhao, Jing Jiang, JianshuWeng, Jing He, Ee-Peng Lim, Hongfei Yan and Xiaoming Li. Comparing Twitter and Traditional Media using Topic Models.In ECIR’11. Full Oral Presentation.
-Xin Zhao, Jing Jiang, Jing He, Yang Song, PalakornAchanauparp, Ee-PengLim and Xiaoming Li. Topical Keyphrase Extraction from Twitter.In ACL- HLT’11. Full Oral Presentation. ******(CCF A)
-Jing He, Xin Zhao, BaihanShu, Hongfei Yan and Xiaoming Li. Efficiently Collecting Relevance Information from Clickthroughs for Web Retrieval Sys- tem.In SIGIR’11. Full Oral Presentation. ******(CCF A)
-Dongdong Shan, Xin Zhao, Jing He, Hongfei Yan, Xiaoming Li. Efficient Phrase Querying with Flat Position Index.In CIKM’11. Poster paper.
-Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li. Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid. In EMNLP’10. Full Oral Presentation.
-Xin Zhao, Jing Jiang, Jing He, Hongfei Yan, Xiaoming Li. Context Modeling for Ranking and Tagging Bursty Features in Text Streams. In CIKM’10. Short paper.

社会兼职
2017年全国社会媒体处理大会，领域主席
2017年自然语言处理与中文计算会议，领域主席
信息检索顶级会议 SIGIR 2017-2018 程序委员会评审
自然语言国际顶级会议 ACL 2017 - 2018程序委员会评审
自然语言国际著名会议 EMNLP 2017 程序委员会评审
人工智能领域顶级会议 IJCAI 2017 - 2018程序委员会评审
自然语言国际顶级会议 ACL 2016 程序委员会评审
数据处理领域著名会议 CIKM 2016程序委员会评审
自然语言国际著名会议 EMNLP 2012-2016 程序委员会评审
自然语言国际著名会议 NAACL 2014 程序委员会评审
自然语言国际著名会议 COLING 2014 程序委员会评审
网络数据挖掘顶级会议 WWW 2014-2016 程序委员会评审
网络数据挖掘顶级会议 ASONAM 2014-2016 程序委员会评审
人工智能领域顶级会议 IJCAI 2015-2016 程序委员会评审
信息领域国际顶级期刊 ACM TOIS评审
信息领域国际著名期刊 ACM TIST评审
数据挖掘领域国际顶级期刊 ACM TKDD评审
信息工程国际顶级期刊 IEEE TKDE评审；
《中国科学》评审
《Frontier of Computer Science》长期评审

荣誉获奖
===========工作阶段============
第一届HTC青年
第二界CCF青年人才托举计划
AIRS 2017，最佳论文
CIKM 2017, 最佳短文候选
中国人民大学
中国人民大学优秀科研奖励
中国人民大学信息学院科研先进工作者奖励
===========博士阶段============
北京大学优秀博士论文，2014年
北京大学优秀毕业生，2014年
北京大学三好学生标兵,2012-2013 年
北京大学三好学生,2010-2011 年度、2012-2013 年度
北京大学五四奖学金,2011-2012 年度
搜狐奖学金,2010-2011 年度、2011-2012 年度、2012-2013 年度
微软亚洲奖学金,2012年
谷歌中国博士奖学金,2011年
===========本科阶段============
黑龙江省程序设计竞赛特等奖, 2007年
美国大学生数学建模竞赛一等奖，2008年
挑战杯大学生创业竞赛哈工大银奖，2008年