Xiaozhong Liu

        Associate Professor @ School of Informatics, Computing and Engineering Indiana University Bloomington

                                                     Senior Consultant @ Alibaba DAMO Academy (达摩院)

 

2021 

  • Yongzhen Wang, Kaisong Song, Lidong Bing, Xiaozhong Liu: Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce. Neurocomputing 433: 252-262 (2021)
  • Shutian Ma, Heng Zhang, Chengzhi Zhang, Xiaozhong Liu: Chronological citation recommendation with time preference. Scientometrics 126(4): 2991-3010 (2021)
  • Kequan Li, Yan Chen, Hongsong Li, Xiangwei Mu, Xuhong Zhang, Xiaozhong Liu: DeepRecipes: Exploring Massive Online Recipes and Recovering Food Ingredient Amounts. IEEE Access 9: 67859-67873 (2021)
  • Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Xiaozhong Liu, Chang Yue, Kai Chen, Haixu Tang, Baoxu Liu: Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. 42nd IEEE Symposium on Security and Privacy. IEEE S&P 2021.
  • Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang: Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. SIGIR 2021: 993-1002
  • Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke: Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. SIGIR 2021: 1003-1012
  • Kaisong Song, Zhe Gao, Kangkang Yang, Changlong Sun, and Xiaozhong Liu. Evidence Aware Neural Pornographic Text Identification for Child Protection. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. (AAAI)
    Jiawei Liu, Zhe Gao, Kangkang Yang, Zhuoren Jiang, Guoxiu He, Changlong Sun,Wei Lu, and Xiaozhong Liu. Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. In Proceedings of the Thirty-Fifth AAAI Conference on
    Artificial Intelligence. (AAAI)
    Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. (AAAI)
    Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. (AAAI)

2020 

  • YongzhenWang, Kaisong Song, Lidong Bing, and Xiaozhong Liu. Harvest Shopping Advice: Neural Question Generation from Multiple Information Sources in E-Commerce. Neurocomputing, 2020 (Neurocomputing)
  • Shutian Ma, Chengzhi Zhang, and Xiaozhong Liu. A Literature Review of Citation Recommendation: From Textual Content to Enriched Context. Scientometrics, 2020 (Scientometrics)
  • YiquanWu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, and Fei Wu. De-biased Court’s View Generation with Causality. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing  (EMNLP)
  • Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, and Tiejun Zhao. Cross Copy Network for Dialogue Generation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing  (EMNLP)

Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, and Songfang Huang. Predicting Clinical Trial Results by Implicit Evidence Integration. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

 Jinsong Zhang, Chun Guo, and Xiaozhong Liu. Characterize and Evaluate Scientific Domain and Domain Context Knowledge Map. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries. (JCDL)

Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, and Wei Lu. Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. (SIGIR)

Haojie Pan, Xin Zhou, Changlong Sun, Fei Wu, and Xiaozhong Liu. Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. (SIGIR)

Zheng Gao, Hongsong Li, Zhuoren Jiang, and Xiaozhong Liu. Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. (SIGIR)

YongzhenWang, Jian Wang, Heng Huang, Hangsong Li, and Xiaozhong Liu. Evolutionary Product Description Generation: A DynamicFine-Tuning Approach Leveraging User Click Behavior.  (SIGIR)

Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Wei Lu, and Xiaozhong Liu. Creating a Children- Friendly Reading Environment via Joint Learning of Content and Human Attention.  (SIGIR)

  • Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Lu Yao, and Xiaozhong Liu. Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. In The World Wide Web Conference. ACM, 2020 (WWW
  • TianyiWang, Yating Zhang, Changlong Sun, and Xiaozhong Liu. Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI, 2020 (AAAI)
  • Kaisong Song, Changlong Sun, and Xiaozhong Liu. Sentiment Classification in Customer Service Dialogue with Topic-aware Multi-task Learning. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI, 2020 (AAAI)
  • Juntao Li, Jian Wang, Rui Yan, and Xiaozhong Liu. Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce: New Data and New Challenges. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI, 2020 (AAAI)
  • Zheng Gao, Lujun Zhao, Hongsong Li, Chenglong Sun, Luo Si, and Xiaozhong Liu. Behavior based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. In Proceedings of the 24th European Conference on Artificial Intelligence. IEEE, 2020 (ECAI)
  • Han Jia, Chun Guo, and Xiaozhong Liu. Smartphone and Tablet Application (App) Life Cycle Characterization via Apple App Store Rank. Data and Information Management, 2020 (DIM)

2019

  • Xinyu Duan, Yating Zhang, Xin Zhou, Changlong Sun, FeiWu, Luo Si, and Xiaozhong Liu. Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM, 2019  (CIKM)
  • Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, and Luo Si. Sexual Harassment Story Classification and Key Information Identification. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM, 2019  (CIKM)
  • Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, and Xiaozhong Liu. Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM, 2019 (CIKM)
  • Zhuoren Jiang, Zhe Gao, Guoxiu He, Changlong Sun, Qiong Zhang, Luo Si, and Xiaozhong Liu. Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, 2019 (EMNLP)
  • Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, and Luo Si. Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, 2019 (EMNLP)
  • JingjingWang, Changlong Sun, Shoushan Li, JianchengWang, Luo Si, Min Zhang, Xiaozhong Liu, and Guodong Zhou. Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, 2019  (EMNLP)
  • Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Changlong Sun, Lujun Zhao, Xiaozhong Liu, and Qiong Zhang. Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, 2019 (EMNLP)
  • Song, K., Gao, W., Zhao, L., Sun, C. & Liu, X. (2019) Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis. Proceedings of the IJCAI conference. (IJCAI)
  • Wang, J., Sun, C., Li, S., Liu, X., Si, L., Zhang, M. & Zhou, G. (2019) Aspect Sentiment Classification Towards Question-Answering. Proceedings of the ACL conference. (ACL)
  • Huang, H. & Liu, X. (2019) Domain-aware Neural Model for Sequence Labeling using Joint Learning. Proceedings of the WWW conference. (WWW)
  • Zhao, L., Song. K, Sun, C., Zhang, Q., Huang, X., & Liu, X. (2019) Review Response Generation in E- Commerce Platforms with External Product Information. Proceedings of the WWW conference. (WWW)
  • Wang, Y., Huang, H., Yan, Y. & Liu, X. (2019) User-Centric Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior. Proceedings of the WWW conference. (WWW)
  • He, G., Yang, K., Sun, C. & Liu, X. (2019) Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model. Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Zhou, X., Zhang, Y., Sun, C. & Liu, X. (2019) Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Gao, Z. & Liu, X. (2019) Efficient Personalized Community Detection via Genetic Evolution. Proceedings of the The Genetic and Evolutionary Computation Conference (GECCO).

2018

  • Börnera,K., Scrivnera, O., Gallanta, M., Ma, S., Liu, X., Chewning, K., Wu, L., & Evans, J. (2018) Skill Discrepancies Between Research, Education, and Jobs Reveal the Critical Need to Supply Soft Skills for the Data Economy, Proceedings of the National Academy of Sciences (PNAS).
  • Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, DavidWild, and Ying Ding. edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC bioinformatics, 20(1):306, 2019 (BMC bioinformatics)
  • Jiang. Z., & Liu, X. (2018) Mathematics Content Understanding for Cyberlearning via Formula Evolution Map, Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).
  • Jiang, Z., Yin, Y., Gao, L., Lu, Y., & Liu, X. (2018) Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Wang, L., Li, S., Sun, C., Liu, X., Si, L., Zhang, M., & Zhou, G.  (2018) One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. In Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics (COLING).
  • Wang, Y., Gao, Z. & Liu, X. (2018) Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
  • Chenlin, S., Changlong, S., Jingjing, W., Yangyang, K., Shoushan, L., Liu, X, Luo, S., Min, Z., & Guodong, Z. (2018) Sentiment Classification towards Question-Answering with Hierarchical Matching Network. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

2017

  • Wang, Y., Liu, X., & Chen, Y. (2017). Analyzing Cross-college Course Enrollments via Contextual Graph Mining. PloS one, 12(11), e0188577. (PloS one)
  • Zhang, Y., Zhang, C., & Liu, X. (2017) Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning, Proceedings of the 11th ACM Conference on Recommender Systems (RecSys).
  • Liu, X., Yu, Y., Jiang, Z., Guo, C., & Jensen, S. (2017) Personalized Navigation and Random Walk on the Complex Heterogeneous Graph, Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR).
  • Li, N, Suri, N, Gao, Z, Xia, T, Liu, X., & Borner, K. (2017) Student Program Planning with Career Information, Proceedings of the iConference.
  • Xia, T., Yu,X., Gao,Z., Gu, Y., & Liu, X., (2017) Internal/External Information Access and Information Diffusion in Social Media, Proceedings of the iConference.
  • Gao, Z, & Liu, X., (2017) Personalized Community Detection in Scholarly Network, Proceedings of the iConference.

2016

  • Guo, C., & Liu, X. (2016) Dynamic Feature Generation and Selection on Heterogeneous Graph for Music Recommendation, Proceedings of the IEEE Big Data.
  • Liu, X. (2016) Computational Student Information Need Estimation for Cyberreading, 2nd Annual International Conference on Computational Social Science.
  • Jensen, S., Liu, X., Yu, Y., & Milojevic, S. (2016). Generation of Topic Evolution Trees from Heterogeneous Bibliographic Networks, Journal of Informetrics (JOI).
  • Liu, X., Xia, T., Yu, Y., Guo, C. & Sun, Y. (2016) Cross Social Media Recommendation, Proceedings of the International AAAI Conference on Web and Social Media (ICWSM).
  • Liu, X., Zhang, C., Xia, T., Bollen, J. & Wu, Y. (2016) Community-based Information Adoption/Diffusion Comparison of Different Microblogging Sites,Proceedings of the 27th ACM Conference on Hypertext and Social Media.
  • Jiang, Z., Liu, X., Gao, L., & Tang, Z. (2016) Community-based Cyberreading for Information Understanding, Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Liu, X. (2016) Computational Student Information Need Estimation for Cyberreading, Proceedings of the 2nd Annual International Conference on Computational Social Science.
  • Zhang, L., & Liu, X., (2016) Synopsizing “Literature Review” for Scientific Publications, Proceedings of the iConference. [Lee Dirks Award for Best paper Nominee]
  • Liu, X., Zhang, J., & Guo, C. (2016) Citation Recommendation via Proximity Full-Text Citation Analysis and Supervised Topical Prior, Proceedings of the iConference.
  • Xia, T., & Liu, X., (2016) Twibo: Comparing Very Large Communities via Massive Social Media Datasets, Proceedings of the iConference.

2015

  • Jiang Z., Liu, X., & Chen, Y. (2015). Recovering Missing Citations in a Scholarly Network: A Two-Step Citation Analysis to Estimate Publication Importance, Journal of the American Society for Information Science and Technology, Accepted. (JASIST)
  • Liu, X., Jiang, Z. & Gao, L. (2015) Scientific Information Understanding via Open Educational Resources (OER), Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Guo, C. & Liu, X. (2015) Automatic Feature Generation on Heterogeneous Graph for Music Recommendation, Proceedings of the ACM Special Interest Group on Information Retrieval (SIGIR).
  • Wang, Y., Gao, L., Liu, X., Wang, S., Yuan, K., & Tang, Z. (2015) WikiMirs 3.0: A Hybrid MIR System Based on the Context, Structure and Importance of Formulae in a Document, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL).
  • Jiang, Z., Liu, X., & Gao, L. (2015) Chronological Citation Recommendation with Information-Need Shifting, Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM)
  • Yu, Y., Jiang, Z., & Liu, X. (2015) Random Walk and Feedback on Scholarly Network, International Workshop on Graph Search and Beyond.
  • Guo, S; Edelblute, T; Dai, B., Chen, M., & Liu, X., (2015) Toward Enhanced Metadata Quality of Large-Scale Digital Libraries: Estimating Volume Time Range, Proceedings of the iConference.

2014

  • Liu, X., Zhang, L. & Guo, C. (2014). Scholar Metadata and Knowledge Generation with Human Artificial IntelligenceJournal of the American Society for Information Science and Technology, 65(6), 1187–1201. (JASIST)
  • Liu, X., & Qin, J. (2014). An Interactive Metadata Model for Structural, Descriptive, and Referential Representation of Scholarly Output, Journal of the American Society for Information Science and Technology, 65(5), 964–983. (JASIST)
  • Liu, X., Guo, C., Yu, Y., & Sun, Y. (2014) Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation, Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).
  • Liu, X., Yu, Y., Guo, C., Sun, Y., & Gao, L. (2014) Full-Text based Context-Rich Heterogeneous Network Mining Approach for Citation Recommendation, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL).
  • Liu, X., Chen, M. & Qin, J. (2014) Interlinking Cross Language Metadata Using Heterogeneous Graphs and Wikipedia, Proceedings of the International Conference on Dublin Core and Metadata Applications. (DC)
  • Shuai, X., Liu, X., Xia, T., Wu, Y., & Guo, C. (2014) A Comparative Study of Academic impact and Wikipedia Ranking, Proceedings of the ACM Conference on Hypertext and Social Media.
  • Lin, X., Gao, L., Hu, X., Tang, Z., Xiao, Y., & Liu, X. (2014) A Mathematics Retrieval System for Formulae in Layout Presentations, Proceedings of the ACM Special Interest Group on Information Retrieval, pp. 697-706. (SIGIR)
  • Guo, C., Yu, Y., Sanjari, A., & Liu, X. (2014) Citation Role Labeling via Local, Pairwise, and Global Features, Proceedings of the Association for Information Science and Technology Annual Meeting(ASIS&T)
  • Jiang, Z., Chen, M., & Liu, X. (2014) Semantic Annotation with RescoredESA: Rescoring Concept Features Generated From Explicit Semantic Analysis, Seventh International Workshop on Exploiting Semantic Annotations in Information Retrieval.

2013

  • Liu, X., (2013). Generating Metadata for Cyberlearning Resource through Information Retrieval and Meta-searchJournal of the American Society for Information Science and Technology, 64(6), 771–786. (JASIST)
  • Liu, X., & Jia, H. (2013). Answering Academic Questions for Education by Recommending Cyberlearning ResourcesJournal of the American Society for Information Science and Technology, 64(8), 1707–1722.   (JASIST)
  • Liu, X., & Turtle, H. (2013). Real-time User Interest Modeling for Real-time RankingJournal of the American Society for Information Science and Technology, 64(8), 1557–1576. (JASIST)
  • Liu, X., Zhang, J. & Guo, C. (2013) Full-Text Citation Analysis: A New Method to Enhance Scholarly NetworkJournal of the American Society for Information Science and Technology, 64(9), 1852–1863. (JASIST)
  • Ding, Y., Liu, X., Guo, C. & Cronin, B. (2013). The distribution of references across texts: Some implications for citation analysis, Journal of Informetrics, 7(3), 583–592. (Informetrics)
  • Lin, L., Xu, Z., Ding, Y., & Liu, X. (2013). Finding topic-level experts in scholarly networks, Journal of Scientometrics, 97(3), 797-819. (Scientometrics)
  • Shuai, X., Jiang, Z., Liu, X., & Bollen, J. (2013) A Comparative Study of Academic impact and Wikipedia Ranking, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL).
  • Jia, H. & Liu, X. (2013). Scientific Referential Metadata Creation with Information Retrieval and Labeled Topic Modeling, Proceedings of the iConference.
  • Baucom, E., Sanjari, A., Liu, X., & Chen, C. (2013) Mirroring the Real World in Social Media: Twitter, Geolocation, and Sentiment Analysis. International Workshop on Mining unstructured big data using Natural Language Processing.

2012

  • Liu, X., Zhang, L. & Guo, C. (2014). Scholar Metadata and Knowledge Generation with Human Artificial Intelligence, Journal of the American Society for Information Science and Technology, 65(6), 1187–1201.
  • Liu, X., & Qin, J. (2014). An Interactive Metadata Model for Structural, Descriptive, and Referential Representation of Scholarly Output, Journal of the American Society for Information Science and Technology, 65(5), 964–983.
  • Liu, X., Zhang, J. & Guo, C. (2012) Full-Text Citation Analysis: Enhancing Bibliometrics and Scientific Publication Ranking. Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).
  • Guo, C., Chinchankar, R., & Liu, X. (2012) Knowledge Retrieval for Scientific Literatures. Proceedings of the American Society for Information Science & Technology.
  • Zhao, L., Liu, X., & Callan, J. (2012) WikiQuery -- An Interactive Collaboration Interface for Creating, Storing and Sharing Effective CNF Queries. Paper presented at the SIGIR Workshop on Open Source Information Retrieval
  • Shuai, X., Liu, X., & Bollen, J. (2012) Improving news ranking by community tweets. Paper presented at the Workshop on mining social network dynamics (WWW2012)
  • Jensen, S., Plale, B., Liu, X., Chen, M., Leake, D. & England, J. (2012) Generalized Representation and Mapping for Social-Ecological Data: Freeing Data from the Database. Proceedings of the 8th IEEE International Conference on eScience.

<= 2011

DC10 Jian Qin, Miao Chen, Xiaozhong Liu, and Andrea Kathleen Wiggins. Linking Entities
in Scientific Metadata. In International Conference on Dublin Core and Metadata Applications, pages
128–136, 2010
SIGIR09 Xiaozhong Liu. Using Computational Community Interest as an Indicator for
Ranking. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in
information retrieval, pages 851–851. ACM, 2009
CIKM09 Xiaozhong Liu and Vadim von Brzeski. Computational community interest for
ranking. In Proceedings of the 18th ACM conference on Information and knowledge management, pages
245–254. ACM, 2009
DC09 Jian Qin, Xiaozhong Liu, Xia Lin, and Miao Chen. Using metadata for query refinement
and recommendation. In International Conference on Dublin Core and Metadata Applications, pages
15–20, 2009
ASIST08 Xiaozhong Liu, Jian Qin, Miao Chen, and Ji-Hong Park. Automatic semantic
mapping between query terms and controlled vocabulary through using WordNet and Wikipedia.
Proceedings of the American Society for Information Science and Technology, 45(1):1–10, 2008
DC08 Miao Chen, Xiaozhong Liu, and Jian Qin. Semantic relation extraction from sociallygenerated
tags: a methodology for metadata generation. In International Conference on Dublin Core
and Metadata Applications, pages 117–127, 2008
HICSS07 Xiaozhong Liu, Robert Benjamin, and Ping Zhang. Re-Examining IT Enabled
Change with a New Model of the Information Field: The Tiger Creek Case. In 2007 40th Annual
Hawaii International Conference on System Sciences (HICSS’07), pages 248a–248a. IEEE, 2007

Selected Publications

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