Xiaolong Jin

（靳小龙）

Professor, PhD Advisor

Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS)

博士

CAS Key Lab of Network Data Science and Technology

  • Email : jinxiaolong@ict.ac.cn
  • Office : 
  • Address : No. 6, Kexueyuan South Road, Zhongguancun, Beijing, China, 100190

Mypages: @University of CAS, @Google Scholar, @DBLP 

  • Biography
  • Publication
  • Projects & ToolKits
  • Students & Talks

Xiaolong Jin is currently a professor and a PhD advisor of the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He is also a professor of the University of Chinese Academy of Sciences. Prof. Jin is the Deputy Secretary-General of the China Digital Economy 50 Forum, China Computer Federation (CCF), a distinguished memeber of CCF, and a member of IEEE and ACM. He was the Director Assistant of the National Engineering Laboratory for Big Data Analysis System, based at ICT-CAS and the Deputy Secretary-General of the CCF Expert Committee on Big Data.

Before joining ICT, he served as a Research Fellow in 2008-2010 and a Post-Doctoral Researcher in 2005-2008 with School of Informatics, University of Bradford, UK. He received his Ph.D. degree in Computer Science from Hong Kong Baptist University in 2005. He gained his M.Eng. degree also in Computer Science from the CAS in 2001 and his B.Sc. degree in Applied Mathematics from Beijing University of Aeronautics and Astronautics (BUAA, now Beihang University) in 1998, respectively.

Prof. Jin's current research interests include Knowledge Engineering, Knowledge Computing, Knowledge Graph etc. He has published more than 220 papers in prestigious journals, including IEEE TKDE, IEEE/ACM TASLP, ACM TWeb, ACM TIST, IEEE TWC, IEEE ToC, IEEE TSMC–Part A, IEEE TPDS, IEEE Communication Letters etc., and in reputable international conferences, including IJCAI, AAAI, ACL, COLING, SIGIR, CIKM, WSDM, WWW, EMNLP, GLOBECOM, ICC, AINA, LCN, AAMAS, IAT, and WI. He has co-authored four monographs published by Springer and Tsinghua University Press, respectively.

Prof. Jin received the Distinguished Science Alumni Award from Faculty of Science, Hong Kong Baptist University and the Outstanding Service Award from CCF Expert Committee on Big Data, China Computer Federation both in 2023, the CVIC Software Engineering Talent Award in 2021, the 2019 Top Cited Articles Award from Elsevier. He also received several best paper awards, including Best Student Paper Award at IEEE ICBK-2017, Best Paper Award at IEEE CIT-2015, Best Academic Paper Award at CCF Big Data 2015, IEEE Best Paper Award at AINA'07, and Excellent Paper Award at ICAMT'03. He received the National Science and Technology Progress Award (Second Class) of China in 2017 and the Science and Technology Progress Award (First Class) of Chinese Institute of Electronics, China in 2016. He has served as a chair, co-chair, or member on the technical or executive committees of more than 100 conferences and workshops including IJCAI, AAAI, SIGIR, ACL, CIKM, IUCC, LCN, AINA, AAMAS, WI, and IAT.

News

Academic Honors/Awards

  • 2023, Distinguished Science Alumni Award, Faculty of Science, Hong Kong Baptist University;
  • 2021, CVIC SE Talent Award, CVIC Software Engineering Co., Ltd.;
  • 2019, Top Cited Articles Award, Elsevier;
  • 2017, The National Science and Technology Progress Award (Second Class), China;
  • 2017, Best Student Paper Award, The 2017 IEEE International Conference on Big Knowledge (ICBK 2017);
  • 2016, The Science and Technology Progress Award (First Class), Chinese Institute of Electronics, China;
  • 2015, Best Paper Award, The 15th IEEE International Conference on Computer and Information Technology (CIT-2015);
  • 2015, Best Academic Paper Award, The Third CCF National Conference on Big Data (CCF Big Data 2015);
  • 2007, IEEE Best Paper Award, The IEEE 21st International Conference on Advanced Information Networking and Applications (AINA'07);
  • 2003, Exellent Paper Award, The Second International Conference on Active Media Technology (ICAMT'03);

Service Honors/Awards

  • 2023, Outstanding Service Award, CCF Expert Committee on Big Data, China Computer Federation;
  • 2020, Lenovo Scholarship, Institute of Computing Technology, Chinese Academy of Sciences;
  • 2018, Exellent Research Fellow, Institute of Computing Technology, Chinese Academy of Sciences;
  • 2018, Service Award, The 4th IEEE International Conference on Data Science and Systems (DSS 2018);
  • 2017, Outstanding Service Award, The Third IEEE International Conference on Smart Data (SmartData-17);
  • 2015, Star of the Exellent Research Fellows, Institute of Computing Technology, Chinese Academy of Sciences;
  • 2012, Exellent Research Fellow, Institute of Computing Technology, Chinese Academy of Sciences;
  • 2012, Outstanding Leadership Award, The Eleventh IEEE International Conference on Ubiquitous Computing and Communications (IUCC-12);
  • 2010, Outstanding Service Award, The 2010 IEEE Joint Conferences: CIT-2010, ScalCom-2010, ICESS-2010);
  • 2009, Outstanding Leadership Award, The Eleventh IEEE International Conference on High Performance Computing and Communications (HPCC-09);
  • 2003–2004, Exellent Teaching Assistant Awards (Semesters I and II), Department of Computer Science, Hong Kong Baptist University.
  • </ul

Monographs

Translated Book

  • Jiming Liu (Author), Xiaolong Jin (Translator), Shiwu Zhang (Translator), Multi-Agent Systems: Principles and Techniques(in Chinese), Tsinghua University Press, ISBN: 302-06902-6, November 2003.

Book Chapters

  • Xiaolong Jin, Big Knowledge and Big Knowledge Engineering, In: Deyi Li eds., Report on the Development of Artificial Intelligence in China - Knowledge Engineering (2019-2020) (in Chinese), Publishing House of Electronics Industry, pp. 16-31, 2020;
  • Xiaolong Jin, Knowledge Computing, In: Xueqi Cheng eds., Big Data Analysis (in Chinese), Higher Education Press, pp. 209-254, 2019;
  • Xiaolong Jin, Big Data Analysis, In: Hong Mei eds., Introductory Theory on Big Data (Second Edition, in Chinese), Higher Education Press, 2019;
  • Jiming Liu, Xiaolong Jin, and Kwok Ching Tsui, Autonomy Oriented Computing (AOC), Encyclopedia of Computer Science and Computer Engineering, In: B. Wah (ed.), Encyclopedia of Computer Science and Engineering, John Wiley & Sons, pp. 276-282, 2009;
  • Lan Wang, Geyong Min, Demetres Kouvatsos, and Xiaolong Jin, A Markov Model for Performance Analysis of a Hybrid Scheduling Scheme, River Publishers, 2008;
  • Xiaolong Jin and Geyong Min, Quality-of-Service Analyses of Priority Queuing Systems under heterogeneous Self-Similar Network Traffic, A. Nejat Ince, Arnold Bragg, eds., Recent Advances in Modeling and Simulation Tools for Communications Networks and Services, Chapter 19, pp. 367-388, Springer, 2007;
  • Xiaolong Jin and Geyong Min, Large Deviation Principles for Modelling and Analysis of Scheduling Mechanisms under Heterogeneous Network Traffic, Geyong Min, Yi Pan, and Pingzhi Fan, eds., Modelling and Simulation of Wireless Networks, Chapter 2, Nova Science Publishers, 2006;
  • Xiaolong Jin, Jiming Liu, and Yuanshi Wang, Agent-Supported WI Infrastructure: Case Studies in Peer-to-Peer Networks, Y.-Q. Zhang, A. Kandel, T. Y. Lin, and Y. Y. Yao, eds., Computational Web Intelligence: Intelligent Technology for Web Applications, Chapter 24, pp. 515-538, World Scientific Publishing, 2004;
  • Xiaolong Jin and Jiming Liu, Agent Networks: Topological and Clustering Characterization, N. Zhong, J. Liu, eds., Intelligent Technologies for Information Analysis, Chapter 13, pp. 291-310, Springer, 2004;
  • Ruqian Lu, Songmao Zhang, Zichu Wei, Lengning Liu, Ping Yang, Lu Fan, Chong Zhao, Fan Yang, Xiaolong Jin, Hong Zheng, and Hongge Liu, A Study on the Children Turing Test, Yunjiu Wang, Yufang Yang, et al. eds., Consciousness and Brain (in Chinese), Chapter II, Part II, pp. 188-225, People's Publishing House, September, 2003.

Selected Journal Papers

  • Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, and Jiafeng Guo. What is Event Knowledge Graph: A Survey, IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 7, pp. 7569-7589, 2023;
  • Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng. Link Prediction on N-ary Relational Data Based on Relatedness Evaluation, IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 1, pp. 672-685, 2023;
  • Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, Shengjie Ma, Xueqi Cheng. NEAWalk: Inferring Missing Social Interactions via Topological-Temporal Embeddings of Social Groups, Knowledge and Information Systems, vol. 64, pp. 2271-2795, 2022;
  • Wei Li, Dezhi Cheng, Lei He, Yuanzhuo Wang, and Xiaolong Jin. Joint Event Extraction Based on Hierarchical Event Schemas from FrameNet, IEEE Access, vol. 7, pp. 25001-25015, February 28, 2019;
  • Ruqian Lu, Xiaolong Jin, Songmao Zhang, Meikang Qiu, and Xindong Wu, A Study on Big Knowledge and Its Engineering Issues, IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 9, pp. 1630-1644, 2019;
  • Yahui Liu, Xiaolong Jin, and Huawei Shen, Towards Early Identification of Online Rumors Based on Long Short-Term Memory Networks, Information Processing & Management, vol. 56, no. 4, pp. 1457-1467, 2019;
  • Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, and Xueqi Cheng, Self-learning and Embedding Based Entity Alignment, Knowledge and Information Systems, vol. 59, no. 2/2019, pp. 361-386, 2018;
  • Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, Path-Specific Knowledge Graph Embedding, Knowledge-Based Systems, vol. 151, pp. 37-44, 2018;
  • Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Hailun Lin, and Xueqi Cheng, Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation based Approach, ACM Transactions on the Web, vol. 12, no. 2, pp. 8:1-8:33, 2017; [DOI]
  • Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zeya Zhao, and Xueqi Cheng, Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach, IEEE Transactions on Computational Social Systems, vol. 4, no. 3, pp. 80-92, 2017; [DOI]
  • Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang and Xueqi Cheng, Modelling Heterogeneous Information Spreading Abilities of Social Network Ties, Simulation Modelling Practice and Theory, vol. 75, pp. 67-76, June 2017; [DOI]
  • Zhifei Mao, Yuming Jiang, Geyong Min, Supeng Leng, Xiaolong Jin, Kun Yang, Mobile Social Networks: Design Requirements, Architecture, and State-of-the-Art Technology, Computer Communications, vol. 100, no. , pp. 1-19, March 2017; [DOI]
  • Yahui Liu, Xiaolong Jin, Huawei Shen, and Xue-Qi Cheng, Rumor Identification Study in Social Media and Its Trends (in Chinese), Communications of Chinese Association for Artificial Intelligence, vol. 7, no. 3, pp. 18-22, 2016;
  • Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Xueqi Cheng, Weiping Wang, and Dan Meng, An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Analysis, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 3, pp. 432-444, 2016;
  • Yantao Jia, Yuanzhuo Wang, Xiaolong Jin and Xueqi Cheng, Influential Friend Selection Based Location Prediction in Social Networks: A Temporal-Spatial Bayesian Model, ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 3, 2016;
  • Xiaolong Jin, Benjamin W. Wah, Xueqi Cheng, and Yuanzhuo Wang, Significance and Challenges of Big Data Research (Top 1, Most cited Big Data Research articles published since 2012), Big Data Research, vol. 2, no. 2, pp. 59–64, 2015; [DOI]
  • Yahui Liu, Tieying Zhang, Xiaolong Jin, Xueqi Cheng, Personal Privacy Protection in the Era of Big Data (in Chinese), Journal of Computer Research and Development, vol. 52, no. 1, pp. 229-247, 2015;
  • Yuanzhuo Wang, Yantao Jia, Dawei Liu, Xiaolong Jin, Xueqi Cheng, Information Retrieval and Data Mining Based on Open Web Knowledge, Journal of Computer Research and Development, vol. 52, no. 2, pp. 456-474, 2015;
  • Xueqi Cheng, Xiaolong Jin, Yuanzhuo Wang, Jiafeng Guo, Tieying Zhang, Guojie Li, Survey on Big Data System and Analytic Technology (in Chinese), Journal of Software, vol. 25, no. 9, pp. 1889-1908, 2014;
  • Lei Liu, Xiaolong Jin, Geyong Min, Performance analysis of prioritized Automatic Repeat-request systems in the presence of self-similar traffic, Computers and Electrical Engineering, vol. 40, no. 2, pp. 704-713, 2014;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Xu Li, Anomaly Diagnosis Based on Regression and Classification Analysis of Statistical Traffic Features, Security and Communication Networks, vol. 7, no. 9, pp. 1372–1383, 2014;
  • Xiaolong Jin and Geyong Min, Modelling and Analysis of an Integrated Scheduling Scheme with Heterogeneous LRD and SRD Traffic, IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2598-2607, 2013;
  • Geyong Min and Xiaolong Jin, Analytical Modelling and Optimization of Congestion Control for Prioritized Multi-Class Self-Similar Traffic, IEEE Transactions on Communications, vol. 61, no. 1, pp. 257-265, 2013;
  • Lejun Fan, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, and Xueqi Cheng, Comprehensive Quantitative Analysis on Privacy Leak Behavior, PLoS One, vol. 8, no. 9, e73410, 2013;
  • Ran Yu, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Chinese Spam Microblog Filtering Based on the Fusion of Multi-Angle Features (in Chinese), Journal of Shandong University (Natural Science), vol. 48, no. 11, pp. 53-58, 2013;
  • Mei Chen, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, and Geyong Min, Modelling Priority Queuing Systems with Varying Service Capacity, Frontiers of Computer Science, vol. 7, no. 4, pp. 571-582, 2013;
  • Xiaolong Jin, Ahmed Y. Al-Dubai, and Laurence T. Yang, Frontiers and advance topics of computer and information technology, Journal of Computer and System Sciences, vol. 79, no. 2, pp. 173–174, 2013;
  • Wei Chen, Jan Nagler, Xueqi Cheng, Xiaolong Jin, Huawei Shen, Zhiming Zheng, Raissa M. D'Souza, Phase Transitions in Supercritical Explosive Percolation, Physical Review E, vol. 87, no. 5, 2013;
  • Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, Network Big Data: Present and Future (in Chinese), Chinese Journal of Computers, vol. 36, no. 6, pp. 1125-1138, 2013;
  • Xueqi Cheng, Yuanzhuo Wang, Xiaolong Jin, A Survey: Computing Technology of Network Big Data and Its Applications (in Chinese), E-Science Technology and Application, vol. 4, no. 6, pp. 3-14, 2013;
  • Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Research System and Present of Big Data (in Chinese), Information Communication Technology, vol. 7, no. 6, pp. 35-43, 2013;
  • Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Core Problems and Research System of Big Data (in Chinese), Information Technology Letter, vol. 13, no. 3, pp. 1-14, 2013;
  • Xiaolong Jin, Geyong Min, Speros Velentzas, and Jianmin Jiang, Quality-of-Service Analysis of Queuing Systems with Long-Range-Dependent Network Traffic and Variable Service Capacity, IEEE Transactions on Wireless Communications, vol. 11, no. 2, pp. 562-570, 2012;
  • Junming Huang, Xue-Qi Cheng, Hua-Wei Shen, Xiaoming Sun, Tao Zhou, Xiaolong Jin, Conquering the rating bound problem in neighborhood-based collaborative filtering: A function recovery approach, http://arxiv.org/abs/1209.0911, 2012;
  • Huawei Shen, Xiaolong Jin, Fuxin Ren, Xueqi Cheng, Social Media Oriented Public Opinion Analysis (in Chinese), Communications of CCF, vol. 8, no. 4, pp. 32-36, 2012;
  • Xueqi Cheng, Jiafeng Guo, Xiaolong Jin, A Retrospective of Web Information Retrieval and Mining (in Chinese), Journal of Chinese Information Processing, vol. 25, no. 6, pp. 111-117, 2011;
  • Lei Liu, Xiaolong Jin and Geyong Min, Performance Analysis of an Integrated Scheduling Scheme in the Presence of Bursty MMPP Traffic, vol. 84, no. 1, pp. 37-44, Journal of Systems and Software, Elsevier, 2011;
  • Xiaolong Jin, Ahmed Yassin Al-Dubai, Geyong Min, Mohamed Ould-Khaoua, Performance of networks and ubiquitous computing systems: Techniques and trends, Simulation Modelling: Practice and Theory, vol. 19, no. 6, pp. 1413-1414, 2011;
  • Lan Wang, Geyong Min, Demetres Kouvatsos, and Xiaolong Jin, Analytical Modeling of the Integrated Priority and WFQ Scheduling Scheme in Multi-Service Communication Networks, Computer Communications, vol. 33, no. Supplement 1, pp. S93-S101, Elsevier, 2010;
  • Xiaolong Jin, Jianmin Jiang, Geyong Min, A software agent and Web service based system for digital preservation, First Monday, vol. 15, no. 10, 2010;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Keqiu Li, Performance Modelling and Analysis of Deficit Round Robin Scheduling Scheme with Self-Similar Traffic, Concurrency and Computation: Practice and Experience, vol. 22, no. 13, pp. 1911-1926, Wiley, 2010;
  • Xiaolong Jin, Jianmin Jiang, and Geyong Min, Managing Computer Files via Artificial Intelligence Approaches, Artificial Intelligence Review, vol. 31, no. 1-4, pp. 101-117, Springer, 2009;
  • Xiaolong Jin and Geyong Min, Modelling Priority Queueing Systems with Multi-Class Self-Similar Network Traffic: A Novel and Efficient Queue-Decomposition Approach, IEEE Transactions on Communications, vol. 57, no. 5, pp. 1444-1452, IEEE Communications Society, 2009;
  • Xiaolong Jin and Geyong Min, Analytical queue length distributions of GPS systems with long range dependent service capacity, Simulation Modelling: Practice and Theory, vol. 17, no. 9, pp. 1500-1510, Elsevier, 2009;
  • Xiaolong Jin and Geyong Min, Performance modelling of generalized processor sharing systems with multiple self-similar traffic flows, Telecommunication Systems, vol. 38, no. 3-4, pp. 111-120, Springer, 2008;
  • Xiaolong Jin and Geyong Min, A Heuristic Flow-Decomposition Approach for Generalized Processor Sharing under Self-Similar Traffic, Journal of Computer and System Sciences, vol. 74, no. 6, pp. 1055-1066, Elsevier, 2008;
  • Xiaolong Jin and Geyong Min, Analytical Modelling and Evaluation of Generalized Processor Sharing Systems with Heterogeneous Traffic, International Journal of Communication Systems, vol. 21, no. 6, pp. 571-586, Wiley, 2008;
  • Xiaolong Jin and Geyong Min, Performance Modelling of Hybrid PQ-GPS Systems under Long-Range Dependent Network Traffic, IEEE Communications Letters, vol. 11, no. 5, pp. 446-448, IEEE Communications Society, 2007;
  • Xiaolong Jin and Geyong Min, Comprehensive Analytical Model for Priority Queueing with Heterogeneous Traffic, IET Electronics Letters, vol. 43, no. 24, pp. 1395-1396, Institution of Engineering and Technology, 2007;
  • Xiaolong Jin and Geyong Min, Performance Analysis of Priority Scheduling Mechanisms under Heterogeneous Network Traffic, Journal of Computer and System Sciences, vol. 73, no. 8, pp. 1207-1220, Elsevier, 2007;
  • Jiming Liu, Xiaolong Jin, and Yuanshi Wang, Agent-Based Load Balancing on Homogeneous Minigrids: Macroscopic Modeling and Characterization, IEEE Transactions on Parallel and Distributed Systems, vol. 16, no. 7, pp. 586-598, IEEE Computer Society, 2005;
  • Jiming Liu, Xiaolong Jin, and Kwok Ching Tsui, Autonomy Oriented Computing (AOC): Formulating Computational Systems with Autonomous Components, IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, vol. 35, no. 6, pp. 879-902, IEEE Systems, Man, and Cybernetics Society, 2005;
  • Zhen Yang and Xiaolong Jin, Adaptive Task Allocation in Peer-to-Peer Grids (in Chinese), Computer Engineering and Applications, vol. 41, no. 11, 2005;
  • Bingcheng Hu, Jiming Liu, and Xiaolong Jin, Multi-Agent RoboNBA Simulation: From Local Behaviors to Global Characteristics, Simulation: Transactions of The Society for Modeling and Simulation International, vol. 81, no. 7, pp. 465-485, 2005;
  • Xiaolong Jin, Jiming Liu, and Zhen Yang, The Dynamics of Peer-to-Peer Tasks: An Agent-Based Perspective, Lecture Notes in Computer Science, vol. 3601, pp. 173-184, Springer, New York, USA, July 2005;
  • Xiaolong Jin and Jiming Liu, Characterizing Autonomic Task Distribution and Handling in Grids, Engineering Applications of Artificial Intelligence, vol. 17, no. 7, pp. 809-823, Elsevier, 2004;
  • Xiaolong Jin and Jiming Liu, From Individual Based Modeling to Autonomy Oriented Computation, Lecture Notes in Artificial Intelligence, vol. 2969, pp. 151-169, Springer, 2004;
  • Jiming Liu, Xiaolong Jin, and Yi Tang, Multi-Agent Collaborative Service and Distributed Problem Solving, Cognitive Systems Research, vol. 5, no. 3, pp. 191-206, Elsevier, 2004;
  • Yi Tang, Jiming Liu and Xiaolong Jin, Adaptive Compromises in Distributed Problem Solving, Lecture Notes in Computer Science, vol. 2690, pp. 31-40, Springer, Hong Kong, China, March 2003;
  • Jiming Liu, Xiaolong Jin, and Jing Han, Distributed Problem Solving without Communication – An Examination of Computationally Hard Satisfiability Problems, International Journal of Pattern Recognition and Artificial Intelligence, vol. 16, no. 8, pp. 1041-1064, World Scientific Publishing, 2002;
  • Xiaolong Jin and Jiming Liu, Multiagent SAT (MASSAT): Autonomous Pattern Search in Constrained Domains, Lecture Notes in Computer Science, vol. 2462, pp. 318-328, Springer, Manchester, UK, August 2002;
  • Xiaolong Jin and Wangqiang Wei, A Kindred Reasoning Model Based on Commonsense Knowledge (in Chiese), Computer Engineering and Applications, vol. 37, no. 17, pp. 83-85, 134, 2001.

Selected Conference Papers

  • Kailin Zhao, Xiaolong Jin, Long Bai and Jiafeng Guo and Xueqi Cheng, Class-Incremental Few-Shot Event Detection, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, May 20-25, 2024;
  • Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo and Xueqi Cheng, Selective Temporal Knowledge Graph Reasoning, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, May 20-25, 2024;
  • Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo and Xueqi Cheng, Nested Event Extraction upon Pivot Element Identification, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, May 20-25, 2024;
  • Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo and Xueqi Cheng, Few-shot Link Prediction on Hyper-relational Facts, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, May 20-25, 2024;
  • Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin and Yongjun Xu, Self-Improvement Programming for Temporal Knowledge Graph Question Answering, the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, May 20-25, 2024;
  • Zhongni Hou, Zixuan Li, Long Bai, Xiaolong Jin, Saiping Guan, Jiafeng Guo and Xueqi Cheng, Temporal Knowledge Graph Reasoning Based on N-tuples, The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December 6-10, 2023;
  • Xing Zhang, Yucan Guo, Xiaolong Jin, Haozhe Liang and Saiping Guan. Document-thematic Event Extraction Based on Event-Related Sentence Detection, The First IEEE International Conference on Medical Artificial Intelligence (IEEE MedAI 2023), Beijing, China, November 18-19, 2023;
  • Yuming Feng, Linmeng Huang, Haozhe Liang, Xiaolong Jin, Saiping Guan and Jiafeng Guo. Type-Representation Enhanced Event Detection via Structure Encoder, The First IEEE International Conference on Medical Artificial Intelligence (IEEE MedAI 2023), Beijing, China, November 18-19, 2023;
  • Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo and Xueqi Cheng. Semantic Structure Enhanced Event Causality Identification. The 61st Annual Meeting of the Association for Computational Linguistics (ACL-2023), Toronto, Canada, July 9-14, 2023;
  • Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng. Rich Event Modeling for Script Event Prediction, The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA., February 7-14, 2023;
  • Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Yong Zhu, Wei Li, Jiafeng Guo, Xueqi Cheng. HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), Abu Dhabi, December 7-11, 2022;
  • Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo and Xueqi Cheng. Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-2022), Abu Dhabi, December 7-11, 2022;
  • Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo. DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning. The 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT-22), Niagara Falls and Virtual, Canada, November 17-20, 2022;
  • Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo and Xueqi Cheng. MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification, The 29th International on Computational Linguistics (COLING-22), Online and Gyeongju, Republic of Korea, October 12-17, 2022;
  • Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, and Xueqi Cheng. Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning, The 60th Annual Meeting of the Association for Computational Linguistics (ACL-2022), Online and Offline in Dublin, Ireland, May 22-27, 2022;
  • Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng. Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021), Online and Punta Cana, Dominican Republic, November 7-11, 2021;
  • Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, August 1-6, 2021;
  • Zhongni Hou, Xiaolong Jin, Zixuan Li and Long Bai. Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, August 1-6, 2021;
  • Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021) (Acceptance Rate=21%), Online, July 11-15, 2021; [Source codes]
  • Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, and Xueqi Cheng. Event coreference resolution based on event-specific paraphrases and argument-aware semantic embeddings. The 28th International Conference on Computational Linguistics (COLING 2020), Online, December 8-11, 2020;
  • Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, and Xueqi Cheng. Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (Acceptance Rate=21%), Online, October 19-23, 2020;
  • Zhong Li, Xiaolong Jin, Chuanzhi Zhuang and Zhi Sun. Content-aware Anomaly Detection with Network Representation Learning, The 20th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2020), New York, USA, October 2-4, 2020;
  • Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. NeuInfer: Knowledge Inference on N-ary Facts. The 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020) (Acceptance Rate=16.6%), Seattle, Washington, USA, July 5-10, 2020; [Source codes & Dataset]
  • Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, and Kun Zhang. Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision, the 13th ACM International Conference on Web Search and Data Mining (WSDM-20) (Acceptance Rate=15.8%), Houston, Texas, USA, February 3-7, 2020;
  • Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng, Event Detection with Multi-Order Graph Convolution and Aggregated Attention, the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) (Acceptance Rate=23.8%), Hong Kong, November 3–7, 2019;
  • Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng,Link Prediction on N-ary Relational Data. The 2019 International World Wide Web Conference (WWW 2019) (Acceptance Rate=18%), San Francisco, CA, USA, May 13-17, 2019;
  • Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng, Shared Embedding Based Neural Networks for Knowledge Graph Completion, The 27th ACM International Conference on Information and Knowledge Management (CIKM-2018) (Acceptance Rate = 17%), Lingotto, Turin, Italy, October 22-26, 2018;
  • Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng. Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. The 56th Annual Meeting of the Association for Computational Linguistics (ACL-18), Melbourne, Australia, July 15-20, 2018;
  • Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen and Xueqi Cheng, Self-learning and Embedding Based Entity Alignment. The 2017 IEEE International Conference on Big Knowledge (ICBK 2017) (Acceptance Rate = 28.6%, Best Student Paper Award), Hefei, Anhui, China, August 9-10, 2017;
  • Tong Man, Huawei Shen, Xiaolong Jin and Xueqi Cheng, Cross-Domain Recommendation: An Embedding and Mapping Approach, The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) (Acceptance Rate=26\%), Melbourne, Australia, August 19-25, 2017;
  • Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, Coarse to Fine: Diffusing Categories in Wikipedia, The 26th International World Wide Web Conference (WWW-2017), Perth, Australia, April 3-7, 2017;
  • Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng, Do rumors diffuse differently from non-rumors? A systematically empirical analysis in Sina Weibo for rumor identification, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), Jeju, South Korea, May 23-26, 2017;
  • Manling Li, Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Zixuan Li, Juan Yao, Fan Yang, Yunqi Qiu, Jialin Su and Xueqi Cheng, OpenKN at TAC KBP 2016, Text Analysis Conference (TAC 2016), Gaithersburg, Maryland, USA, November 14-15, 2016;
  • Nan Zhou, Pan Du, Xiaolong Jin, Yue Liu, and Xue-Qi Cheng, ET-TAG: A Tag Generation Model for the Sub-topics of Public Opinion Events, The 22nd China Conference on Information Retrieval (CCIR 2016), Guangzhou, Guangdong, November 11-13, 2015;
  • Saiping Guan, Xueqi Xu, Xiaolong Jin, Dayong Wu, Yuanzhuo Wang, and Yue Liu, News Comments Clustering Based on WMD Distance and Affinity Propagation, The Fourth CCF National Conference on Big Data (CCF Big Data 2016), Lanzhou, Gansu, October 12-13, 2016;
  • Jingneng Liu, Fengze Li, Yi Chen, and Xiaolong Jin, Research on User Behavioral Targeting Based on Ad Topic Distribution, The Fourth CCF National Conference on Big Data (CCF Big Data 2016), Lanzhou, Gansu, October 12-13, 2016;
  • Xinlei Chen, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xue-Qi Cheng, A Multi-Dimensional Quantitative Evaluation Method for the Construction of Open Knowledge Graphs, The Fourth CCF National Conference on Big Data (CCF Big Data 2016), Lanzhou, Gansu, October 12-13, 2016;
  • Yuan Lu, Yuanzhuo Wang, Jingyuan Li, and Xiaolong Jin, A Model of Asynchronous Diffusion of Competitive Messages over Social Networks, The Fourth CCF National Conference on Big Data (CCF Big Data 2016), Lanzhou, Gansu, October 12-13, 2016;
  • Jingyuan Li, Yuanzhuo Wang, Jianye Yu, Guoliang Xing, and Xiaolong Jin, Analysis on the Attention Competition of Social Network Users Based on the Theory of Social Evolutionary Game, The Fourth CCF National Conference on Big Data (CCF Big Data 2016), Lanzhou, Gansu, October 12-13, 2016;
  • Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, and Xueqi Cheng, Predict Anchor Links across Social Networks via an Embedding Approach, The 25th International Joint Conference on Artificial Intelligence (IJCAI-16) (Acceptance Rate < 25%), New York City, USA, July 9-15, 2016;
  • Yantao Jia, YuanzhuoWang, Hailun Lin, Xiaolong Jin, and Xueqi Cheng, Locally Adaptive Translation for Knowledge Graph Embedding, Accepted by the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)(Acceptance Rate ≈ 26%), February 12–17, 2016, Phoenix, Arizona, USA;
  • Chengeng Ou, Xiaolong Jin, Yuanzhuo Wang, Wei Chen, and Xueqi Cheng, The Impact of Heterogeneous Spreading Abilities of Network Ties on Information Spreading (Best Paper Award), in Proceedings of the 15th IEEE International Conference on Computer and Information Technology (CIT-2015), Liverpool, England, UK, October 26-28, 2015;
  • Hailun Lin, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, and Weiping Wang, A Composite Structure based Method for Knowledge Base Taxonomy Matching (in Chinese) (Best Academic Paper Award), The Third CCF National Conference on Big Data (CCF Big Data 2015), Hefei, Anhui, October 20-21, 2015;
  • Yahui Liu, Xiaolong Jin, Huawei Shen, Peng Bao, Xueqi Cheng, A Survey on False Rumor Spreading over Social Media (in Chinese), The 21st China Conference on Information Retrieval (CCIR'15), Luoyang, Henan, China, August 23-25, 2015;
  • Zheng Lin, Weiping Wang, Xiaolong Jin, and Dan Meng, A Word Vector and Matrix Factorization Based Method for Opinion Lexicon Extraction, in Proceedings of the 24th World Wide Web Conference (WWW'15), 2015/5/18-2015/5/22;
  • Peng Bao, Hua-Wei Shen, Xiaolong Jin, Xue-Qi Cheng, Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes, in Proceedings of the 24th World Wide Web Conference (WWW'15), 2015/5/18-2015/5/22;
  • Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, Social Evolutionary Games, in Proceedings of the 5th International Conference on Game Theory for Networks (GAMENETS-2014), pp. 1-5, Beijing, China, November 25-27, 2014;
  • Zheng Lin, Xiaolong Jin, Xueke Xu, Yuanzhuo Wang, Weiping Wang, and Xueqi Cheng, et al., A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis, in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'14)(Acceptance Rate ≈ 17%), Shanghai, China, November 3-7, 2014;
  • Hailun Lin, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xiaojing Li, and Xueqi Cheng, Populating Knowledge Base with Collective Entity Mentions: A Graph-based Approach, in Proceedings of The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'14), Beijing, China August 17-20, 2014;
  • Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, and Xueqi Cheng, Evolutionary Analysis on Online Social Networks using A Social Evolutionary Game, in Proceedings of the 23rd International World Wide Web Conference (WWW'14), pp. 415-416, April 7-11, 2014;
  • Yantao Jia, Yuanzhuo Wang, Xueqi Cheng, Xiaolong Jin, and Jiafeng Guo, OpenKN: An Open Knowledge Computational Engine for Network Big Data, in Proceedings of The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'14), Beijing, China August 17-20, 2014;
  • Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, Identifying Interaction Groups in Social Networks by A Game-Theoretic Approach, in Proceedings of the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), August 11-14, 2014;
  • Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks, in Proceedings of the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), August 11-14, 2014;
  • Zheng Lin, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, et al., Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge, in Proceedings of the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), August 11-14, 2014;
  • Wang Miao, Geyong Min, Yuming Jiang, Xiaolong Jin, Haozhe Wang, QoS-Aware Resource Allocation for LTE-A Systems with Carrier Aggregation, in Proceedings of the 2014 IEEE Wireless Communications and Networking Conference (WCNC'14), 2014;
  • Ran Yu, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng, Chinese Spam Microblog Filtering Based on the Fusion of Multi-Angle Features (in Chinese), The 19th China Conference on Information Retrieval (CCIR'13), Taiyuan, Shanxi, China, 2013;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Keqiu Li, A Comprehensive Analytical Model of Cognitive Radio Networks Employing Centralized Scheduling Mechanism, Proceedings of the 2012 IEEE 14th International Conference on High Performance Computing and Communications (HPCC-2012), pp. 1179-1184, 2012;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Li Xu, Real-Time Diagnosis of Network Anomaly based on Statistical Traffic Analysis, Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-12), pp. 264-270, June 25-27, 2012;
  • Junming Huang, Xue-Qi Cheng, Hua-Wei Shen, Tao Zhou, and Xiaolong Jin, Exploring Social Influence via Posterior Effect  of Word-of-Mouth Recommendations, in Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM'12), Seattle, Washington, USA, February 8-12, 2012;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Jia Hu, Modelling and Analysis of Dynamic Spectrum Access in Cognitive Radio Networks with Self-Similar Traffic, in Proceedings of the 53rd Annual IEEE Global Telecommunications Conference (Globecom'10), IEEE Press, Miami, USA, December 6-10, 2010;
  • Xiaolong Jin, Jianmin Jiang, and Geyong Min, Automatic Digital Preservation Solutions Enabled by Web Services and Intelligent Agents, in Proceedings of the 20th eChallenges Conference (e-2010), ISBN: 978-1-905824-20-5, Warsaw, Poland, October 27-29, 2010;
  • Lei Liu, Xiaolong Jin, and Geyong Min, Analytical Modelling and Performance Evaluation of Multi-Buffer ARQ Systems under Prioritized Self-Similar Traffic, in Proceedings of the 2010 IEEE International Conference on Communications (ICC'10), IEEE Press, Cape Town, South Africa, May 23-27, 2010;
  • Xiaolong Jin, Geyong Min, and Jianmin Jiang, A Novel Analytical Model for the Guard Channel Handover Scheme with Heavy-Tailed Call Holding Times, in Proceedings of the 52nd Annual IEEE Global Telecommunications Conference (Globecom'09), IEEE Press, Hawaii, USA, November 2009;
  • Lei Liu, Xiaolong Jin, Geyong Min, and Keqiu Li, An Analytical Model of Deficit Round Robin Scheduling Mechanism under Self-Similar Traffic, in Proceedings of the 2009 IEEE International Conference on Scalable Computing and Communications (ScalCom-09), pp. 319-324, IEEE Press, Dalian, China, September 25-27, 2009;
  • Xiaolong Jin, Jianmin Jiang, and Geyong Min, Multi-Agent Based Personal File Management Using Case Based Reasoning, in Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS'09), Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence, vol. 5572, pp. 26-33, Springer, Salamanca, Spain, June 2009;
  • Xiaolong Jin, Geyong Min, and Lan Wang, A Comprehensive Analytical Model for Weighted Fair Queuing under Multi-Class Self-Similar Traffic, in Proceedings of the 2009 IEEE International Conference on Communications (ICC'09),  IEEE Press, Dresden, Germany, June 2009;
  • Lan Wang, Geyong Min, Demetres Kouvatsos, and Xiaolong Jin, An Analytical Model for the Hybrid PQ-WFQ Scheduling Scheme for WiMAX Networks, in Proceedings of the 1st International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE 2009), IEEE Computer Society Press, Aalborg, Denmark, May 2009;
  • Lei Liu, Xiaolong Jin, and Geyong Min, Modelling of an Integrated Scheduling Scheme with Bursty MMPP Traffic, in Proceedings of the 23rd IEEE International Conference on Advanced Information Networking and Applications (AINA'09), IEEE Computer Society Press, Bradford, UK, May 2009;
  • Xiaolong Jin, Jianmin Jiang, and Geyong Min, Towards Computerized Digital Preservation Based on Intelligent Agents and Web Services, in Proceedings of the 5th International Conference on Web Information Systems and Technologies (WEBIST'09), pp. 276-281, Lisbon, Portugal, March 2009;
  • Geyong Min, Xiaolong Jin, and Speros/Ross Velentzas, Performance Analysis of the Guard Channel Scheme with Self-Similar Call Arrivals in Wireless Mobile Networks, in Proceedings of the 51st Annual IEEE Global Telecommunications Conference (Globecom'08), IEEE Press, November 2008;
  • Xiaolong Jin and Geyong Min, QoS Analysis of Queuing Systems with Self-Similar Traffic and Heavy-Tailed Packet Sizes, in Proceedings of the 2008 IEEE International Conference on Communications (ICC'08),  pp. 100-104, IEEE Press, Beijing, China, May 2008;
  • Xiaolong Jin, Geyong Min, and Speros/Ross Velentzas, An Analytical Queuing Model for Long Range Dependent Arrivals and Variable Service Capacity, in Proceedings of the 2008 IEEE International Conference on Communications (ICC'08),  pp. 230-234, IEEE Press, Beijing, China, May 2008;
  • Geyong Min and Xiaolong Jin, Performance Modelling of Random Early Detection Based Congestion Control for Multi-Class Self-Similar Network Traffic, in Proceedings of the 2008 IEEE International Conference on Communications (ICC'08), pp. 5564-5568, IEEE Press, Beijing, China, May 2008;
  • Lei Liu, Xiaolong Jin, and Geyong Min, Performance Analysis of An Integrated Scheduling Scheme of Priority Queuing and Generalized Processor Sharing with Markov Modulated Poisson Processes, in Proceedings of The 4th Euro-NGI Workshop on "New trends in network architectures and services", Bucharest, Romania, April 2008;
  • Lan Wang, Geyong Min, Demetres Kouvatsos, and Xiaolong Jin, A Markov Model for Performance Analysis of a Hybrid Scheduling Scheme, in Proceedings of the Fifth International Working Conference on Performance Modelling and Evaluation of Heterogeneous Networks (HET-NETs 08),  Karlskrona, Sweden, February 2008;
  • Xiaolong Jin and Geyong Min, Performance Analysis of A Hybrid Scheduling Scheme under Heterogeneous MMPP and Self-Similar Traffic, in Proceedings of the 50th Annual IEEE Global Telecommunications Conference (Globecom'07),  pp. 2714-2718, IEEE Press, Washington, USA, November 2007;
  • Xiaolong Jin and Geyong Min, Modelling Priority Queueing Systems with Multi-Class Self-Similar Network Traffic, in Proceedings of the 2007 IEEE International Conference on Communications (ICC'07), pp. 550-555, IEEE Press, Glasgow, Scotland, June 2007;
  • Xiaolong Jin and Geyong Min, Analytical Modelling of Hybrid PQ-GPS Scheduling Systems under Long-Range Dependent Traffic (IEEE Best Paper Award), in Proceedings of the IEEE 21st International Conference on Advanced Information Networking and Applications (AINA'07), pp. 1006-1013, IEEE Computer Society Press, Niagara Falls, Canada, May 2007;
  • Xiaolong Jin and Geyong Min, Queue Length Distribution and Loss Probability of Generalized Processor Sharing Systems under Multi-Class Self-Similar Traffic, in Proceedings of 15th Annual Meeting of the IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS'07),  pp. 179-185, IEEE Press, Istanbul, Turkey, October 2007;
  • Xiaolong Jin and Geyong Min, Performance Modelling of Priority Queuing Discipline with Self-Similar and Poisson Traffic, in Proceeding of the 32nd IEEE Conference on Local Computer Networks  (LCN'07),  pp. 567-574, IEEE Computer Society Press, Dublin, Ireland, October 2007;
  • Xiaolong Jin and Geyong Min, Flow-Decomposition for Performance Prediction of GPS Mechanism under Self-Similar Network Traffic, in Proceedings of the 2007 IEEE International Conference on Networking, Sensing and Control (ICNSC'07),  pp. 769-774, IEEE Press, London, United Kingdom, April 2007;
  • Xiaolong Jin and Geyong Min, Loss Probability of LRD and SRD Traffic in Generalized Processor Sharing Systems, in Proceedings of the 21st International Parallel and Distributed Processing Symposium (IPDPS'07) - the 6th International Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems (PMEO-PDS'07), IEEE Computer Society Press, California, USA, March 2007;
  • Xiaolong Jin and Geyong Min, An Analytical Model for Generalized Processor Sharing Scheduling with Heterogeneous Network Traffic, in Proceedings of the 22nd Annual ACM Symposium on Applied Computing (ACM-SAC'07), pp. 198-202, ACM Press, Seoul, Korea, March 2007;
  • Xiaolong Jin and Jiming Liu, Resource Optimization in Heterogeneous Web Environments, in Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), pp. 46-49, IEEE Computer Society Press, Compiegne University of Technology, France, September 2005;
  • Xiaolong Jin, Jiming Liu, and Zhen Yang, Modeling Agent-Based Task Handling in a Peer-to-Peer Grid, in Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), pp. 288-294, IEEE Computer Society Press, Beijing, China, September 2004;
  • Tingting Wang, Jiming Liu, and Xiaolong Jin, Minority Game Strategies for Dynamic Multi-Agent Role Assignment, in Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), pp. 316-322, IEEE Computer Society Press, Beijing, China, September 2004;
  • Bingcheng Hu, Jiming Liu, and Xiaolong Jin, From Local Behaviors to Global Performance in a Multi-Agent System, in Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), pp. 309-315, IEEE Computer Society Press, Beijing, China, September 2004;
  • Yi Tang, Jiming Liu, and Xiaolong Jin, Aggregating Local Behaviors Based upon Lagrange Method, in Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), pp. 413-416, IEEE Computer Society Press, Beijing, China, September 2004;
  • Long Gan, Jiming Liu, and Xiaolong Jin, Agent-Based, Energy Efficient Routing in Sensor Networks, in Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS'04), pp. 472-479, ACM Press, New York, USA, July 2004;
  • Bingcheng Hu, Jiming Liu, and Xiaolong Jin, Phase Transitions in RoboNBA, in Proceedings of the 5th ACM Postgraduate Research Day (Hong Kong), pp. 73-79, Hong Kong, January 2004;
  • Xiaolong Jin, Jiming Liu, and Yuanshi Wang, Modeling Agent-Based Task Handling in a Peer-to-Peer Grid, in Proceedings of the 5th ACM Postgraduate Research Day (Hong Kong), pp. 87-96, Hong Kong, January 2004;
  • Yuanshi Wang, Jiming Liu, and Xiaolong Jin, Modeling Agent-Based Load Balancing with Time Delays, in Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), pp. 189-195, IEEE Computer Society Press, Halifax, Canada, October 2003;
  • Xiaolong Jin and Jiming Liu, Properties of Clustering Coefficient in Random Agent Networks (Excellent Paper Award), in Proceedings of the Second International Conference on Active Media Technology (ICAMT'03), pp. 73-82, World Scientific Publishing, Chongqing, China, May 2003;
  • Xiaolong Jin and Jiming Liu, Efficiency of Emergent Constraint Satisfaction in Small-World and Random Networks, in Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), pp. 304-310, IEEE Computer Society Press, Halifax, Canada, October 2003;
  • Xiaolong Jin and Hongge Liu, Research on the Completeness of Pangu Knowledge Base, in Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (ICMLC'03), vol. 1, pp. 431-436, IEEE Press, Xi'an, China, November 2003;
  • Xiaolong Jin and Jiming Liu, Agent Network Topology and Complexity, in Proceedings of the Second International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS'03), pp. 1020-1021, ACM Press, Melbourne, Australia, July 2003;
  • Ruqian Lu, Songmao Zhang, Lengning Liu, Fan Yang, Xiaolong Jin, et al., Children Turing Test, in Proceedings of the Second China-Japan Natural Language Processing Joint Research Promotion Conference (CJNLP'02), Beijing, China, October 30-November 2, 2002;

Magzine Articles

  • Xueqi Cheng, Zhuting Pan, Xiaolong Jin, Jing Yang, 2015 Forcast on Development Trends of Big Data (in Chinese), Communications of CCF, vo. 11, no. 1, pp. 48-52, January 2015;
  • Xueqi Cheng, Xiaolong Jin, Li Cha, Li Wang, Yihua Huang (in Chinese), Expert Opinion Sharing from Big Data Conferences -- Introduction to 2013 China Big Data Technology Conference and Academic Conference, Communications of CCF, vol. 10, no. 2, pp. 78-81, February 2014;
  • Xueqi Cheng, Zhuting Pan, Xiaolong, 2014 Forcast on Development Trends of Big Data (in Chinese), Communications of CCF, vol. 10, no. 1, pp. 32-36, January 2014;
  • Xueqi Cheng, Zhuting Pan, Xiaolong, Hotspots of Big Data and 2013 Analysis on Its Development Trends, Communications of CCF, vol. 8, no. 12, pp. 40-44, 2012;
  • Xiaolong Jin, Jianmin Jiang, and Josep Lluis de la Rosa, PROTAGE: An Intelligent Agents and Web Services Based Approach to Long-Term Digital Preservation, ERCIM News, no. 80, January 2010.

Ongoing Projects

  • National Key Research and Development Program of China, 5,080K CNY, Broad Connection Computing, 08/2022-08/2024, Principal Investigator;

Finished Projects

  • National Key Research and Development Program of China, 19,250K CNY, Full Data Oriented Data Modelling, 02/2018-12/2020, Principal Investigator;
  • National Natural Science Foundation of China, General Program, Grant No. 61772501, 780K CNY, Open Web Data Oriented N-Ary Relation Extraction, Representation and Inference, 01/2018-12/2021, Principal Investigator;
  • National Key Research and Development Program of China, 2760K CNY, Big Data Oriented Knowledge Computing, 09/2016-08/2019, Principal Investigator;
  • National Key Research and Development Program of China, Grant No. 2016YFB1000902, 1700K CNY, Laws of Knowledge Evolution Based on the Theories of Sourcing and Evaluation, 07/2016-12/2020, Co-Investigator;
  • National Natural Science Foundation of China, General Program, Grant No. 61572473, 760K CNY, Online Social Network Oriented Rumor Automatic Identification and Intervention Mechanism Study, 01/2016-12/2019, Principal Investigator;
  • National Natural Science Foundation of China, Key Program, Grant No. 61232010, 2800K CNY, Mining and Analysis of Online Social Networks, 01/2013-12/2017, Key Team Member;
  • European FP7 Funded International Research Staff Exchange Scheme, Grant No. PIRSES-GA-2012-318939, 48K Euros, Cross-Layer Investigation and Integration of Computing and Networking Aspects of Mobile Social Networks, 04/2013-03/2017, Principal Investigator of Work Package 3;
  • National High-Tech R&D Program of China (863 Program), Grant No. 2014AA015204, 638K CNY, Content Integration and Visualization of Media Big Data Based on User Interest Models, 01/2014-12/2016, Principal Investigator;
  • Ningbo Recruitment Plan of Global Experts (3315 Plan), Innovative Individual Program, 1000K CNY, Online Social Network Oriented Information Security Monitor System, 01/2014-12/2016, Principal Investigator;
  • National Key Basic Research Program of China (973 Program), Grant No. 2012CB316303, 5300K CNY, Computing and Understanding of Data Sensed from Cyberspace, 01/2012-12/2016, Acting Investigator;
  • National Natural Science Foundation of China, Youth Program, Grant No. 61100175, 220K CNY, Performance Modelling, Analysis and Optimization of Scheduling Systems with Variable Service Capacity in Communication Networks, 01/2012-12/2014, Principal Investigator;
  • National Science and Technology Support Program, Grant No. 2012BAH39B01, 980K CNY, Analytical Modelling and Simulation of Collective-Organizing Behaviors, 01/2012-12/2014, Principal Investigator;
  • National Natural Science Foundation of China, Key Program, Grant No. 60933005, 2000K CNY, New Theory and Methods for Web Search and Mining, 01/2010-12/2013, Acting Principal Investigator;
  • UK EPSRC, Grant No. EP/C525027/1, 125K GBP, Analysis and Optimisation of Network Resource Allocations and Quality of Service (QoS) for Heterogeneous Internet Traffic, 08/2005-02/2008, Co-Investigator;
  • European FP7 Funded STREP Project, Grant No. 216746, 2.0M Euros (247K for WP7), PReservation Organizations using Tools in AGent Environments (PROTAGE), 11/2007-10/2010, Co-Investigator of Work Package 7;
  • European Network of Excellence FP6, 35K Euros, Performance Analysis of Hybrid Scheduling Schemes in IEEE 802.16/WiMAX-Based Multi-Service Broadband Wireless Networks, 05/2007-04/2008, Key Team Member;
  • European Network of Excellence FP6, 45K Euros, Characterisation of Internet Traffic in Wireless Networks, 02/2006-01/2007, Key Team Member.


Current Students

  • PhD Students: Kailin Zhao (2017-); Zhongni Hou (2018-); Zhilei Hu (2019-); Jiyao Wei (2020-); Weicheng Ren (2021-); Miao Su (2022-); Yucan Guo (2023-);
  • Master Students: Yuming Feng (2021-); Yantao Liu (2022-); Xiang Li (2023-);

Graduated Students

Post-Doctor

  • Jingneng Liu: July 2017, Associate Professor, Beibu Gulf University (former Qinzhou College), Guangxi, China;

PhD Students

  • Zixuan Li: February 2023, Assistant Professor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;
  • Pengbi Xi: July 2022, Engineer, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;
  • Zhong Li: July 2022, Tianjin, China;
  • Chuanzhi Zhuang: July 2022, Hangzhou, China;
  • Cunhui Shi: July 2021, Senior Engineer, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;
  • Saiping Guan: July 2019, Assistant Professor, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;
  • Yahui Liu: July 2017, Assistant Professor, Shihezi University, Xinjiang, China;
  • Zheng Lin: July 2014, Associate Professor, Institute of Information Technology, Chinese Academy of Sciences, Beijing, China;
  • Lei Liu: June 2010, Associate Professor, Shandong University, Shandong, China.

Master Students

  • Linmeng Huang: July 2023, the Agricultural Bank of China, Wuhan, China;
  • Xing Zhang: July 2022, Bank of China, Beijing, China;
  • Fujun Zhang: July 2022, Bytedance, Beijing, China;
  • Huinan Huang: July 2022, Baidu, Beijing, China;
  • Xuanli Wang: July 2022, Baidu, Beijing, China;
  • Yutao Zeng: July 2021, Tencent, Beijing, China;
  • Haoran Yan: July 2020, Microsoft, Beijing, China;
  • Guilong Chen: July 2020, iQIYI, Beijing, China;
  • Yue Zhao: July 2019, China Construction Bank, Beijing, China;
  • Xiexiong Lin: July 2018, Ant Financial, Alibaba, Hangzhou, China;
  • Nan Zhou: July 2017, Tencent, Beijing, China;
  • Chengeng Ou: July 2016, Freewheel, Beijing, China;
  • Ran Yu: July 2014, PhD student, L3S Research Center, Hannover, Germany.

Invited Talks

  • Event Graph Construction and Its Applications, The Forum on Financial Fraud Risk, The Second Academic Annual Conference of the Risk Management Chapter of the Chinese Society of Optimization, Overall Planning and Economic Mathematics, Xuzhou University of Technology and Online, December 4, 2021;
  • Event Knowledge Acquisition, Reasoning and Applications, The Alumni Homecoming Workshop on AI and Big Data, Department of Computer Science, Hong Kong Baptist University, Online, November 6, 2021;
  • Knowledge Graph Embedding and Its Applications, Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, China, November 30, 2019;
  • Representation Learning of Knowledge Graph and Its Applications, The Third Forum on Social Network Analysis and Mining, The 2019 CCF Conference on Artificial Intelligence, Xuzhou, China, August 20, 2019;
  • Distributed Representation Based Knowledge Computing and Its Applications, Session: Fundamental Problems of Big Data Computing, The Second CSIAM National Conference on Big Data and Artificial Intelligence, Kunming, China, July 6, 2019;
  • Big Data Technology, Applications and Development Trends, Beijing Union University, Beijing, China, June 19, 2019;
  • Knowledge Graph Embedding and Its Applications, School of Software, Beihang University, Beijing, China, May 13, 2019;
  • Knowledge Graph Embedding and Its Applications, School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, Guangxi, March 15, 2019;
  • Representation Learning of Knowledge Graph and Its Applications, The Second International Symposium on Data-Driven Complex System Modelling and Its Applications in Public Security, Southwest University, Chongqing, China, May 4-6, 2018;
  • Rumor Identification over Online Social Media, The Workshop on Data-Driven Complex Network Modelling and Its Public Security Applications, Hangzhou Dianzi University, Hangzhou, China, October 15, 2017;
  • Big Data Based Knowledge Graph and Its Applications, Invited by Prof. Ruqian Lu, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, September 27, 2016;
  • Big Data: Coping with Complexities, The 2nd Korea-China Big Data Conference on Research and Applications, Daegu, Korea, October 30, 2015;
  • Network Big Data: Facing and Tackling the Complexities, The Big Data in China Forum @ The 21st ACM SIGKDD Conference on Knowledge Discovery and Data Ming, Sydney, Australia, August 10, 2015;
  • Interaction Group Identification in Social Networks - A Game-Theoretic Approach, The 5th International Conference on Game Theory for Networks (GAMENETS-2014), Beijing, China, November 25-27, 2014;
  • Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge, The 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, August 14, 2014.