Xiaozhong Liu

             

               Associate Professor @ CS/DS, Worcester Polytechnic Institute

                Affiliate Professor @ SICE, Indiana University Bloomington

 

 

SELECTED PEER REVIEWED JOURNAL ARTICLES  

 

[J26]  Jing Dong, Kangkang Yang, Dan Wu, Xi Niu, and Xiaozhong Liu. Human-Centered Design on Crowdsourcing Annotation toward Improving Active Learning Model Performance. Journal of Information Science, 2023 [JIS]

[J25]  Yunxue Cui, Yongzhen Wang, Xiaozhong Liu, Xianwen Wang, and Xuhong Zhang. Multidimensional Scholarly Citations: Characterizing and Understanding Citation Behaviors. Journal of the American Society for Information Science and Technology, 2022  [JASIST]

[J24]  Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Ningyu Zhang, Songfang Huang, and Xiaozhong Liu. PM-Search: State-of-the-art Evidence Retriever for Precision Medicine: Algorithm Development and Validation. Journal of Medical Internet Research, 2022 [JMIR]

[J23]  Chaoguang Huo, Shutian Ma, and Xiaozhong Liu. Hotness Prediction of Scientific Topics Based on a Bibliographic Knowledge Graph. Information Processing & Management, 2022 [IPM]

    [J22]  Yougang Lyu, Zihan Wang, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Yujun Li, Hongsong Li, and Hongye Song. Improving legal judgment prediction through reinforced criminal element extraction. Information Processing & Management, 2021 [IPM]

[J21]  Yongzhen Wang, Jun Lin, Sheng Bi, Changlong Sun, Luo Si, and Xiaozhong Liu. Adaptive Multi-Task Positive- Unlabeled Learning for Joint Prediction of Multiple Chronic Diseases Using Online Shopping Behaviors. Expert Systems With Applications, 2021  [ESWA]

[J20]  Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng Yu. Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Computing Surveys, 2021 [ACM Computing Surveys]

[J19] Kequan Li, Yan Chen, Hongsong Li, Xuhong Zhang Xiangwei Mu, and Xiaozhong Liu. Deeprecipes: Exploring massive online recipes and recovering food ingredient amounts. IEEE Access, 2021 [IEEE Access]

[J18]  Guoxiu He, Zhe Gao, Yangyang Kang Zhuoren Jiang, and Xiaozhong Liu. Understanding the Implied Textual Meaning via A Skim and Intensive Reading Model (In Review). Journal of Information Processing and Management, 2020  [IPM]

[J17]  Yongzhen Wang, Kaisong Song, Lidong Bing, and Xiaozhong Liu. Harvest Shopping Advice: Neural Question Generation from Multiple Information Sources in E-Commerce. Neurocomputing, 2020  [Neurocomputing]

[J16]  Shutian Ma, Chengzhi Zhang, and Xiaozhong Liu. A Literature Review of Citation Recommendation: From Textual Content to Enriched Context. Scientometrics, 2020 [JIS]

[J15]  Han Jia, Chun Guo, and Xiaozhong Liu. Smartphone and Tablet Application (App) Life Cycle Characteriza- tion via Apple App Store Rank. Data and Information Management, 2020 [DIM]

[J14]  Zheng Gao, Gang Fu, Chun- ping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, and Ying Ding. edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC bioinformatics, 20(1):306, 2019 [BMC bioinformatics]

[J13]  Katy Börner, Olga Scrivner, Mike Gallant, Shutian Ma, Xiaozhong Liu, Keith Chewning, Lingfei Wu, and James A Evans. 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, 115(50):12630–12637, 2018  [PNAS]

[J12]  Yongzhen Wang, Xiaozhong Liu, and Yan Chen. Analyzing cross-college course enrollments via contextual graph mining. PloS one, 12(11): e0188577, 2017  [PLoS One]

[J11]  Scott Jensen, Xiaozhong Liu, Yingying Yu, and Staša Milojevic. Generation of topic evolution trees from heterogeneous biblio- graphic networks. Journal of informetrics, 10(2):606–621, 2016  [JOI]

[J10]  Recovering uncaptured citations in a scholarly network: A two-step citation analysis to estimate publication importance. Journal of the Association for Information Science and Technology, 67 (7):1722–1735, 2016a  [JASIST]

[J9]  Xiaozhong Liu, Chun Guo, and Lin Zhang. Scholar metadata and knowledge generation with human and artificial intelligence. Journal of the Association for Information Science and Technology, 65(6):1187–1201, 2014  [JASIST]

[J8]  Xiaozhong Liu and Jian Qin. An interactive metadata model for structural, descriptive, and referential representation of scholarly output. Journal of the Association for Information Science and Technology, 65(5):964–983, 2014 [JASIST]

[J7]  Xiaozhong Liu. Generating metadata for cyberlearning resources through information retrieval and meta-search. Journal of the American Society for Information Science and Technology, 64(4):771–786, 2013 [JASIST]

[J6]  Xiaozhong Liu and Han Jia. Answering academic questions for education by recommending cyberlearning resources. Journal of the American Society for Information Science and Technology, 64(8):1707–1722, 2013 [JASIST]

[J5]  Xiaozhong Liu and Howard Turtle. Real-time user interest modeling for real-time ranking. Journal of the american society for information science and technology, 64(8):1557–1576, 2013 [JASIST]

[J4]  Xiaozhong Liu, Jinsong Zhang, and Chun Guo. Full-text citation analysis: A new method to enhance scholarly networks. Journal of the American Society for Information Science and Technology, 64(9):1852–1863, 2013 [JASIST]

[J3]  Ying Ding, Xiaozhong Liu, Chun Guo, and Blaise Cronin. The distribution of references across texts: Some implications for citation analysis. Journal of Informetrics, 7(3):583–592, 2013 [JOI]

[J2]  Lili Lin, Zhuoming Xu, Ying Ding, and Xiaozhong Liu. Finding topic-level experts in scholarly networks. Scientometrics, 97(3):797–819, 2013 [Scientometrics]

[J1]  Zixiang Tan, Hsiang Chen, and Xiaozhong Liu. Adoption of low mobility services:“Little-Smart” in China as a case. info, 8(6):69–78, 2006 [Info]

 

SELECTED CONFERENCE ARTICLES  

    - Artificial Intelligence Track: AAAI, IJCAI, SIGKDD, ACL, EMNLP, SIGIR, CIKM, and WWW.

    - Computer Security Track: IEEE S&P, USENIX, and CCS.

    - Acceptance Rate: All the conferences have low acceptance rates (most between 10% - 20%).

 

[CSR59]  Kai Zhang, Kaisong Song, Yangyang Kang, and Xiaozhong Liu. Synthesizing Corpus Knowledge: Content- and Topology-Aware Representation Learning for Multi-Scientific Literature. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR58]  Zirui Shao, Feiyu Gao, Zhongda QI, Hangdi Xing, Jiajun Bu, Zhi Yu, Qi Zheng, and Xiaozhong Liu. GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR57]  Xiangnan Chen, Qian Xiao, Juncheng Li, Duo Dong, Jun Lin, Xiaozhong Liu, and Siliang Tang. Global Structure Knowledge- Guided Relation Extraction Method for Visually-Rich Document. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR56]  Kaihang Pan, Juncheng Li, Hongye Song, Jun Lin, Xiaozhong Liu, and Siliang Tang. Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR55]  Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, and Kun Kuang. Precedent- Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR54]  Xurui Li, Yue Qin, Rui Zhu, tianqianjin lin, Yongming Fan, Yangyang Kang, Kaisong Song, Fubang Zhao, Chang- long Sun, Haixu Tang, and Xiaozhong Liu. STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 [EMNLP]
[CSR53]  Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, and Changlong Sun Xiaozhong Liu. Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM, 2023 [CIKM]
[CSR52]  Zilong Lin, Xiaojing Liao, Xiaofeng Wang, and Xiaozhong Liu. MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promo- tion. In Proceedings of the 44nd IEEE Symposium on Security and Privacy. IEEE, 2023 [IEEE S&P]
[CSR51]  Kaisong Song, Kangkang Yang, Chang- long Sun, and Xiaozhong Liu. A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. AAAI, 2023 [AAAI]
[CSR50]  Yao Feng, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, and Weixing Shen. Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. AAAI, 2023 [AAAI]
[CSR49]  Jiawei Liu, , Kangkang Yang, Di Tang, Changlong Sun, Xiaofeng Wang, and Xiaozhong Liu. Order-Disorder: Imitation Adver- sarial Attacks for Black-box. In Proceedings of the ACM Conference on Computer and Communications Security (CCS). ACM, 2022 (Best Paper Nomination) [ACM CCS]
[CSR48] Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, and Fei Wu. Collabo- rative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. In Proceedings of the 28th ACM SIGKDD Conference. ACM, 2022 [KDD]
[CSR47] Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, and Xiaozhong Liu. A Role-Selected Shar- ing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 [EMNLP]
[CSR46] Yi Chen, Yepeng Yao, XiaoFeng Wang, Dan- dan Xu, Xiaozhong Liu, Chang Yue, Kai Chen, Haixu Tang, and Baoxu Liu. Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. In Proceedings of the 42nd IEEE Symposium on Security and Privacy. IEEE, 2021 [IEEE S&P]
[CSR45]  Changzhen Ji, Yating Zhang, Xiaozhong Liu, Changlong Sun Adam Jatowt, Conghui Zhu, and Tiejun Zhao. A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management. ACM, 2021 [CIKM]
[CSR44] Xiyan Fu, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Changlong Sun, and Zhenglu Yang. RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy. In Proceedings of the 59th Conference of the Association for Computational Linguistics, 2021 [ACL]
[CSR43] Fubang Zhao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, and Xiaozhong Liu. Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning. In Proceedings of the 59th Conference of the Association for Computational Linguistics, 2021 [ACL]
[CSR42] Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, and Maarten de Rijke. Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. In Proceedings of the 44nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2021 [SIGIR]
[CSR41] Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, and Shikun Zhang. Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. In Proceedings of the 44nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2021 [SIGIR]
[CSR40] Kaisong Song, Zhe Gao, Kangkang Yang, Chang- long 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, 2021 [AAAI]
[CSR39]  Jiawei Liu, Zhe Gao, Kangkang Yang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Wei Lu, and Xiaozhong Liu. Time to Transfer: Pre- dicting and Evaluating Machine-Human Chatting Handoff. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence. AAAI, 2021 [AAAI]
[CSR38] 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, 2021 [AAAI]
[CSR37] 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, 2021 [AAAI]
[CSR36] Yiquan Wu, 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 202Conference on Empirical Methods in Natural Language Processing, 2020 [EMNLP]
[CSR35] 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 Conference on Empirical Methods in Natural Language Processing, 2020 [EMNLP]
[CSR34] Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, and Songfang Huang. Predicting Clinical Trial Results by Implicit Evidence Inte- gration. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2020 [EMNLP]
[CSR33]  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. In Proceedings of the 43nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2020 [SIGIR]
[CSR32]  Haojie Pan, Xin Zhou, Chang- long Sun, Fei Wu, and Xiaozhong Liu. Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. In Proceedings of the 43nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2020 [SIGIR]
[CSR31]  Zheng Gao, Hongsong Li, Zhuoren Jiang, and Xiaozhong Liu. Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. In Proceedings of the 43nd international ACM SIGIR conference on Research and development
in information retrieval. ACM, 2020 [SIGIR]
[CSR30] Yongzhen Wang, Jian Wang, Heng Huang, Hangsong Li, and Xiaozhong Liu. Evolutionary Product Description Generation: A DynamicFine-Tuning Approach Leveraging User Click Behavior. In Proceedings of the 43nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2020 [SIGIR]
[CSR29] 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. In Proceedings of the 43nd international ACM SIGIR conference on Research and development in information retrieval. ACM, 2020 [SIGIR]
[CSR28]  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]
[CSR27] Tianyi Wang, 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]
[CSR26] 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]
[CSR25] 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]
[CSR24] Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, and Luo Si. Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 365–374. ACM, 2019 [SIGIR]
[CSR23] Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, and Luo Si. Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 315–324. ACM, 2019 [SIGIR]
[CSR22]  Xinyu Duan, Yating Zhang, Xin Zhou, Changlong Sun, Fei Wu, Luo Si, and Xiaozhong Liu. Legal Summa- rization 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]
[CSR21] 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]
[CSR20]  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]
[CSR19] 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]
[CSR18] 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]
[CSR17]  Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, 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]
[CSR16]  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]
[CSR15]  Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, and Xiaozhong Liu. Cold-Start Aware Deep Memory Network for Multi- Entity Aspect-Based Sentiment Analysis. In Proceedings of the 2019 International Joint Conferences on Artificial Intelligence, 2019 [IJCAI]
[CSR14] Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, and Guodong Zhou. Aspect Sentiment Classification To- wards Question-Answering with Reinforced Bidirectional Attention Network. In Proceedings of the 57th Conference of the Association for Computational Linguistics, pages 3548–3557, 2019 [ACL]
[CSR13]  Yongzhen Wang, Heng Huang, Yuliang Yan, and Xiaozhong Liu. Quality-Sensitive Training! Social Advertisement Genera- tion by Leveraging User Click Behavior. In The World Wide Web Conference, pages 2045–2055. ACM, 2019 [WWW]
[CSR12]  Lujun Zhao, Kaisong Song, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. Review Response Generation in E-Commerce Platforms with External Product Information. In The World Wide Web Conference, pages 2425–2435. ACM, 2019 [WWW]
[CSR11] Huang Heng, Liu Xiaozhong, and Yuliang Yan. Domain-aware Neural Model for Sequence Labeling using Joint Learning. In The World Wide Web Conference, pages 2837–2843. ACM, 2019 [WWW]
[CSR10] Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, and Xiaozhong Liu. Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 635–644. ACM, 2018 [SIGIR]
[CSR9] Yongzhen Wang, Xiaozhong Liu, and Zheng Gao. Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2019 [EMNLP]
[CSR8] Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, and Guodong Zhou. Sentiment classification towards question-answering with hierarchical matching network. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3654–3663, 2018 [EMNLP]
[CSR7]  Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, and Xiaozhong Liu. Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pages 37–46. ACM, 2018 [CIKM]
[CSR6]  Xiaozhong Liu, Zhuoren Jiang, and Liangcai Gao. Scientific information understanding via open educational resources (OER). In Proceedings of the 38th international acm sigir conference on research and development in information retrieval, pages 645–654. ACM, 2015 [SIGIR]
[CSR5] Chun Guo and Xiaozhong Liu. Auto- matic feature generation on heterogeneous graph for music recommendation. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 807–810. ACM, 2015 [SIGIR]
[CSR4] Xiaozhong Liu, Yingying Yu, Chun Guo, and Yizhou Sun. Meta-path-based ranking with pseudo relevance feedback on heterogeneous graph for citation recommendation. In Proceedings of the 23rd acm international conference on conference on information and knowledge management, pages 121–130. ACM, 2014 [CIKM]
[CSR3] Xiaoyan Lin, Liangcai Gao, Xuan Hu, Zhi Tang, Yingnan Xiao, and Xiaozhong Liu. A mathematics retrieval system for formulae in layout presentations. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pages 697–706. ACM, 2014 [SIGIR]
[CSR2] Xiaozhong Liu, Yingying Yu, Chun Guo, and Yizhou Sun. Meta-path-based ranking with pseudo relevance feedback on heterogeneous graph for citation recommendation. In Proceedings of the 23rd ACM international conference on conference on information and knowledge management, pages 121–130. ACM, 2014 [CIKM]
[CSR1]  Xiaozhong Liu, Jinsong Zhang, and Chun Guo. Full-text citation analysis: enhancing bibliometric and scientific publication ranking. In Proceedings of the 21st ACM international conference on Information and knowledge management, pages 1975–1979. ACM, 2012 [CIKM]

Selected Publications

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