FACULTY & RESEARCH

Xin Zhao
Tenured Associate Professor
Xin Zhao received his Ph.D. in Computer Science from Peking University in 2014. His research interests include data mining, natural language processing and information retrieval in general. The main goal is to study how to organize, analyze and mine user generated data for improving the service of real-world applications.

Personal Homepage: https://scholar.google.com/citations?user=JNhNacoAAAAJ&hl=en

Detailed Information

Education

• PhD: School of Electronics Engineering and Computer Science, Peking University, September 2008——June 2014

• Bachelor: School of Computer Science, Harbin Institute of Technology, September 2004 to July 2008


Professional Experience

• School of Information, Renmin University of China,September 2017 to present, associate professor

• Iflytek Beijing, visiting scholar, August 2018 to present


Research Interests

• Topic modeling (mining topics from social text data)

• Recommender systems (knowledge-aware recommendation, cross-site recommendation)

• Social media data mining (tagging, event detection, burst detection, link prediction, user profiling)


Publications

-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.


Services

Organization:

• The 12th Asia Information Retrieval Societies Conference (AIRS 2016), publication chair

• 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), area chair

• The sixth China National Conference on Social Media Processing, area chair

• The Sixteenth China National Conference on Computational Linguistics, area chair

• The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), local chair


Journal reviewers:

• IEEE TKDE/MM, ACM TOIS/TIST/TKDD/TBD

Conference reviewers:

• ACL (2015-2019), SIGIR (2018-2019), SIGKDD (2019), WWW (2020), EMNLP (2014-2019), AAAI(2020), IJCAI (2016-2019), CIKM (2017-2019)

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