Wayne Xin Zhao


Selected Publications

Technical Report

  • A note of variational methods for LDA.
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2013.
  • A note for derivations for pLSA and LDA.
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2011.
  • A survey of topic modeling in text mining (in Chinese).
    Wayne Xin Zhao
    The working report in PKU Net-LAB, 2011.
  • Book Chapter

  • Deep Learning in Social Computing.
    Wayne Xin Zhao, Chenliang Li.
    From Deep Learning in Natural Language Processing, Editors: Deng, Li, Liu, Yang (Eds.), 2018.
  • 第5章 主题模型——机器的智能摘要利器.
    Wayne Xin Zhao, Chenliang Li.
    From 大数据智能 互联网时代的机器学习和自然语言处理技术, Editors: Zhiyuan Liu, 2018.
  • 2019

  • [WSDM'19] 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 ACM ACM International Conference on Web Search and Data Mining, 2019.
  • 2018

  • [CIKM'18s] Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.
    Binbin Hu, Chuan Shi, Wayne Xin Zhao and Tianchi Yang.
    To appear in ACM International Conference on Information and Knowledge Management, 2018.
  • [SIGKDD'18] Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism.
    Binbin Hu, Chuan Shi, Wayne Xin Zhao and Philip S. Yu.
    To appear in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018.
  • [ACL'18] 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.
    In Annual Meeting of the Association for Computational Linguistics, 2018.
  • [ACL'18] hyperdoc2vec: Distributed Representations of Hypertext Documents. Jialong Han.
    Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi and Haisong Zhang.
    In Annual Meeting of the Association for Computational Linguistics, 2018.
  • [IEEE TKDE] Heterogeneous Information Network Embedding for Recommendation..
    Chuan Shi, Binbin Hu, Wayne Xin Zhao and Philip S. Yu.
    In IEEE Transactions on Knowledge and Data Engineering, 2018.
  • [SIGIR'18] Improving Sequential Recommendation with Knowledge-enhanced Memory Networks.
    Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen and Edward Y. Chang.
    In Proceedings of the 35th international ACM SIGIR conference on Research and development in Information Retrieval, 2018.
  • [SIGIR'18s] An Attribute-aware Neural Attentive Model for Next Basket Recommendation.
    Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du and Ji-Rong Wen.
    In Proceedings of the 35th international ACM SIGIR conference on Research and development in Information Retrieval, 2018.
  • [IEEE TKDE] Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites.
    Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen.
    In IEEE Transactions on Knowledge and Data Engineering, 2018.
  • [ACM TOIS] Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.
    Wayne Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie and Ji-Rong Wen. To appear in ACM Transactions on Information Systems, 2018.
  • [KAIS] 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, 2018.
  • [AIRS'18] A Neural Labeled Network Embedding Approach to Product Adopter Prediction.
    Qi Gu, Ting Bai, Wayne Xin Zhao and Ji-Rong Wen.
    In 2018 Asia Information Retrieval Societies , 2018.
  • 2017

  • [ACM TKDD] Joint Representation Learning for Location-based Social Networks with Multi-Grained Sequential Contexts.
    Wayne Xin Zhao, Feifan Fan, Ji-Rong Wen, Edward Chang
    To appear in ACM Transactions on Knowledge Discovery from Data, 2017.
  • [ACM TOIS] A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories.
    Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Chang
    To appear in ACM Transactions on Information Systems, 2017.
  • [IJCAI'17] A Correlated Topic Model Using Word Embeddings..
    Guangxu Xun, Yaliang Li,Wayne Xin Zhao, Jing Gao, Aidong Zhang.
    In the 26th International Joint Conference on Artificial Intelligence, 2017.
  • [JCST] Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks..
    Jun Yin, Wayne Xin Zhao, Xiaoming Li.
    In Journal of Computer Science and Technology 32 (4), 805-813, 2017.
  • [ACM TOIS] Local Representative based Matrix Factorization for Cold Start Recommendation.
    Lei Shi, Wayne Xin Zhao, Yi-Dong Shen
    To appear in ACM Transactions on Information Systems, 2017.
  • [ACM TOIS] Version-Aware Rating Prediction for Mobile App Recommendation.
    Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu and Jian Lu
    To appear in ACM Transactions on Information Systems, 2017.
  • [KAIS] Mining Collective Knowledge: Inferring Functional Labels from Online Review For Business..
    Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen, Edward Chang.
    To appear in Knowledge and Information Systems, 2017.
  • [JCST] An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data..
    Ting Bai, Hongjian Dou, Wayne Xin Zhao, Dingyi Yang, Ji-Rong Wen
    In Journal of Computer Science and Technology 32 (4), 828-842, 2017.
  • [SIGIR'17] Learning to Diversify Search Results via Subtopic Attention.
    Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue
    In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2017.
  • [CIKM'17s] A Neural Collaborative Filtering Model with Interaction-based Neighborhood.
    Ting Bai, Ji-Rong Wen, Jun Zhang and Wayne Xin Zhao.
    In Proceedings of the 26nd ACM International Conference on Information and Knowledge Management, 2017.
  • [AIRS'17] A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.
    Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin.
    In 2017 Asia Information Retrieval Societies , 2017.
  • [AIRS'17] Probabilistic Local Matrix Factorization based on User Reviews.
    Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin.
    In 2017 Asia Information Retrieval Societies , 2017.
  • 2016

  • [IEEE TKDE] Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On Microblogs..
    Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen and Xiaoming Li
    In IEEE Transactions on Knowledge and Data Engineering, 2016.
  • [KAIS] Exploring Demographic Information in Social Media for Product Recommendation..
    Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li.
    In Knowledge and Information Systems, 2016.
  • [TKDD] Mining Product Adopter Information from Online Reviews for Improving Product Recommendation..
    Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li.
    In ACM Transactions on Knowledge Discovery from Data, 2016.
  • [IJCAI'16] Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction..
    Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang.
    In the 25th International Joint Conference on Artificial Intelligence, 2016.
  • [AAAI'16] Tweet Timeline Generation with Determinantal Point Processes..
    Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao.
    In the 29th AAAI Conference on Artificial Intelligence, 2016.
  • [ACM TOIS] A Probabilistic Lifestyle-based Trajectory Model for Social Strength Inference from Human Trajectory Data.
    Wayne Xin Zhao, Ningnan Zhou, Ji-Rong Wen, Shan Wang, Edward Chang
    In ACM Transactions on Information Systems, 2016.
  • [IEEE TKDE] A General Multi-Context Embedding Model For Mining Human Trajectory Data..
    Ningnan Zhou, Wayne Xin Zhao(*co-first),Ji-Rong Wen, Xiao Zhang, Shan Wang
    In IEEE Transactions on Knowledge and Data Engineering, 2016.
  • [FCS] Ranking and Tagging Bursty Features in Text Streams with Context Language Models.
    Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li.
    In Frontiers of Computer Science, 2016.
  • [FCS] Generating Timeline Summaries with Social Media Attention.
    Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li.
    In Frontiers of Computer Science, 2016.
  • 2015

  • [ACM TOIS] A General SIMD-based Approach to Accelerating Compression Algorithms.
    Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shang, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen.
    In ACM Transactions on Information Systems, 2015.
  • [ICWSM'15] Leveraging Product Adopter Information from Online Reviews for Product Recommendation..
    Jinpeng Wang, Wayne Xin Zhao, Yulan He and Xiaoming Li.
    In 9th AAAI Conference on Web and Social Media, 2014.
  • [IEEE TKDE] Incorporating Social Role Theory into Topic Models for Social Media Content Analysis..
    Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen, Xiaoming Li.
    In IEEE Transactions on Knowledge and Data Engineering 27(4): 1032-1044 (2015).
  • [ICWSM'15] Leveraging Product Adopter Information from Online Reviews for Product Recommendation..
    Jinpeng Wang, Wayne Xin Zhao, Yulan He and Xiaoming Li.
    In 9th AAAI Conference on Web and Social Media, 2014.
  • [WWWJ] A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs..
    Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew, Ji-Rong Wen, Xiaoming Li.
    In World Wide Web Journal, 2015.
  • [AAAI'15] Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets..
    Jinpeng Wang, Gao Cong, Wayne Xin Zhao and Xiaoming Li.
    In the 29th AAAI Conference on Artificial Intelligence, 2015.
  • 2014

  • [ASONAM'14s] A Computational Approach to Measuring the Correlation between Expertise and Social Media Influence for Celebrities on Microblogs..
    Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin and Ji-Rong Wen.
    In The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, 2014.
  • [ACM TIST] Infer User Interests via Link Structure Regularization.
    Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li.
    In ACM Transactions on Intelligent Systems and Technology (TIST), Volume 5 Issue 2, April 2014, Article No. 23 , 2014.
  • [COLING'14] Warming up social startups via social login: a case study of question answering site.
    Yang Xiao, Wayne Xin Zhao, Kun Wang and Zhen Xiao.
    In the 25th International Conference on Computational Linguistics, 2014.
  • [KDD'14] We Know What You Want to Buy: A Demographic-based System for Product Recommendation On Microblogs..
    Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu and Xiaoming Li.
    In 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2014.
  • [COLING'14] Group based Self Training for E-Commerce Product Record Linkage.
    Wayne Xin Zhao, Yuexin Wu, Hongfei Yan and Xiaoming Li.
    In the 25th International Conference on Computational Linguistics, 2014.
  • before 2014

  • [CIKM'13s] Originator or propagator?: incorporating social role theory into topic models for twitter content analysis.
    Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie and Xiaoming Li.
    In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013.
  • [EMNLP'13] Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs .
    Jinpeng Wang, Wayne Xin Zhao, Haitian Wei, Hongfei Yan, Xiaoming Li.
    In The 2013 Conference on Empirical Methods on Natural Language Processing, 2013.
  • [SIGIR'13s] Timeline Generation with Social Attention.
    Wayne Xin Zhao, Yanwei Guo, Rui Yan, Yulan He and Xiaoming Li.
    In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, 2013.
  • [IEEE BigData'13s] Group-Scheme: A Universal SIMD-based Compression Scheme.
    Xudong Zhang, Wayne Xin Zhao, Dongdong Shan and Hongfei Yan.
    In Proceedings of the 1st international conference on Big Data, 2013.
  • [WAIM'13] A Metric Learning Based Approach to Evaluate Task-Specific Time Series Similarity.
    Yang Lu, Wayne Xin Zhao, Hongfei Yan, Xiaoming Li.
    In The 14th International Conference on Web-Age Information Management , 2013.
  • [KDD'12 Demo] EventSearch: A System for Event Discovery and Retrieval on Multi-Type Historical Data.
    Dongdong Shan, Wayne Xin Zhao, Rishan Chen, Baihan Shu, Hongfei Yan, Xiaoming Li.
    In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012.
  • [AIRS'12] Using Lexical and Thematic Knowledge for Name Disambiguation.
    Jinpeng Wang, Wayne Xin Zhao, Rui Yan, Haitian Wei, Jian-Yun Nie, Xiaoming Li.
    In 2012 Asia Information Retrieval Societies , 2012.
  • [CIKM'12] Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams.
    Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, Xiaoming Li.
    To appear in ACM International Conference on Information and Knowledge Management, 2018.
  • [EMNLP'12] Identifying event-related bursts via social media activities.
    Wayne Xin Zhao, Baihan Shu, Jing Jiang, Yang Song, Hongfei Yan and Xiaoming Li
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012.
  • [EMNLP'12] Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid.
    Yang Song, Jing Jiang, Wayne Xin Zhao and Houfeng Wang.
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2012.
  • [ACL'12s] A Novel Burst-based Text Representation Model for Scalable Event Detection.
    Wayne Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaoming Li.
    In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.
  • [SIGIR'11] Efficiently Collecting Relevance Information from Clickthroughs for Web Retrieval System Evaluation.
    Jing He, Wayne Xin Zhao, Baihan Shu, Xiaoming Li, Hongfei Yan
    In Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011.
  • [CIKM'11 poster] Efficient Phrase Querying with Flat Position Index.
    Dongdong Shan, Wayne Xin Zhao, Jing He, Hongfei Yan and Xiaoming Li.
    In Proceedings of the 20th ACM international conference on Information and knowledge management, 2011.
  • [ACL'11] Topical keyphrase extraction from Twitter.
    Wayne Xin Zhao, Jing Jiang, Jing He, Yang Song, Palakorn Achanauparp, Ee-Peng Lim and Xiaoming Li
    In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, 2011.
  • [ECIR'11] Comparing Twitter and traditional media using topic models.
    Wayne Xin Zhao, Jing Jiang, Jianshu Weng, Jing He, Ee-Peng Lim, Hongfei Yan and Xiaoming Li
    In Proceedings of the 33rd European Conference on Information Retrieval, 2011.
  • [EMNLP'10] Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid.
    Wayne Xin Zhao, Jing Jiang, Hongfei Yan and Xiaoming Li
    In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2010.
  • [CIKM'10s] Context modeling for ranking and tagging bursty features in text streams.
    Wayne Xin Zhao, Jing Jiang, Jing He, Xiaoming Li, Dongdong Shan and Hongfei Yan
    In Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010.