基本信息

靳小龙  博士,研究员,博导

中国科学院网络数据科学与技术重点实验室

大数据分析系统国家工程研究中心

中国科学院计算技术研究所

通信地址:北京市海淀区中关村科学院南路6号中科院计算所 

邮政编码:100190

电子邮件:jinxiaolong@ict.ac.cn

个人主页:http://www.bigdatalab.ac.cn/jxl/

研究领域

知识计算,知识图谱,大数据知识工程

招生信息

   
招生专业
081203-计算机应用技术
招生方向
知识计算,知识图谱,大数据知识工程

教育背景

2001-10--2005-05   香港浸会大学   计算机科学专业博士学位
1998-09--2001-07   中国科学院数学与系统科学研究院   计算机软件与理论专业硕士学位
1994-09--1998-07   北京航空航天大学   应用数学专业学士学位

教授课程

大数据分析
网络数据分析关键技术
社会信息网络分析:理论、算法与工具
Communication Networks
Intelligent Systems
Machine Learning
Artificial Intelligence

学生培养

已指导学生

林政  博士研究生  081201-计算机系统结构  

于然  硕士研究生  081202-计算机软件与理论  

官赛萍  博士研究生  081202-计算机软件与理论  

周楠  硕士研究生  081202-计算机软件与理论  

欧陈庚  硕士研究生  081202-计算机软件与理论  

史存会  博士研究生  081202-计算机软件与理论  

林谢雄  硕士研究生  081202-计算机软件与理论  

刘雅辉  博士研究生  081202-计算机软件与理论  

赵越  硕士研究生  081202-计算机软件与理论  

庄传志  博士研究生  081202-计算机软件与理论  

延浩然  硕士研究生  081202-计算机软件与理论  

李忠  博士研究生  081202-计算机软件与理论  

曾宇涛  硕士研究生  081203-计算机应用技术  

陈贵龙  硕士研究生  085211-计算机技术  

张付俊  硕士研究生  081203-计算机应用技术  

王炫力  硕士研究生  085211-计算机技术  

黄辉楠  硕士研究生  085211-计算机技术  

现指导学生

李紫宣  博士研究生  081202-计算机软件与理论  

赵凯琳  博士研究生  081202-计算机软件与理论  

侯中妮  博士研究生  081203-计算机应用技术  

胡志磊  博士研究生  081202-计算机软件与理论  

隗继耀  博士研究生  081202-计算机软件与理论  

黄林萌  硕士研究生  081202-计算机软件与理论  

张兴  硕士研究生  085400-电子信息  

任韦澄  博士研究生  081202-计算机软件与理论  

冯禹铭  硕士研究生  081202-计算机软件与理论  

苏淼  博士研究生  081200-计算机科学与技术  

刘衍涛  硕士研究生  081200-计算机科学与技术  

学术专著

  1. 林政, 靳小龙, 文本情感分析, 清华大学出版社, ISBN: 978-7-302-53408-2, 2019年;
  2. 王元卓, 于建业, 李静远, 靳小龙, 社交网络演化---模型、方法与案例, 清华大学出版社, ISBN: 978-7-302-48620-6, 2018年;
  3. Jiming Liu, Xiaolong Jin, and Kwok Ching Tsui, Autonomy Oriented Computing: From Solving Computational Problems to Characterizing Complex Behavior, Springer, ISBN-10: 1402081219, ISBN-13: 978-1402081217, February 2005;
  4. Jiming Liu, 靳小龙, 张世武, 吴建兵, 《多智能体系统:模型与实验》, 清华大学出版社, ISBN: 302-07016-4, 2003年11月.
  5. Jiming Liu(作者), 靳小龙(译者), 张世武(译者), 《多智能体系统:原理与技术》, 清华大学出版社, ISBN:302-06902-6 , 2003年11月.

期刊论文

  1. 徐道柱, 赵凯琳, 康栋, 马超, 冯禹铭, 李紫宣, 弋步荣, 靳小龙. 面向低资源场景的实体知识获取研究综述, 大数据, 2023;
  2. 梅宏, 杜小勇, 金海, 程学旗, 柴云鹏, 石宣化, 靳小龙, 王亚沙, . 大数据技术前瞻. 大数据, 2023;
  3. 李紫宣, 官赛萍, 靳小龙, 白龙, 郭嘉丰, 程学旗. 基于多历史序列联合演化建模的两阶段时序知识图谱, 中文信息学报, 2022;
  4. 王炫力, 靳小龙, 廖华明, 张瑾. 基于森林的实体关系抽取方法, 计算机应用, 2022;
  5. 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, 2022;
  6. 席鹏弼, 靳小龙, 白硕. 基于类型间关系学习的细粒度实体分类. 高技术通讯, 2022;
  7. 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, 2022;
  8. 李忠, 靳小龙, 王亚杰, 孟令宾, 庄传志, 孙智. 属性网络中基于变分图自编码器的异常节点检测方法. 模式识别与人工智能, vol. 35, no. 1, pp. 17-25, 2022;
  9. 侯中妮, 靳小龙, 陈剑赟, 官赛萍, 王元卓, 程学旗. 知识图谱可解释推理研究综述. 软件学报, vol. 33, no. 12, pp. 4644-4667, 2022;
  10. 胡志磊, 靳小龙, 陈剑赟, 黄冠利. 事件图谱的构建、推理与应用. 大数据, vol. 7, no. 3, pp. 80-96, 2021;
  11. 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, 2021;
  12. 赵凯琳, 靳小龙, 王元卓. 小样本学习研究综述, 软件学报, vol. 32, no. 2, pp. 349-369, 2021;
  13. 李忠, 靳小龙, 庄传志, 孙智. 面向图的异常检测研究综述, 软件学报, vol. 32, no. 1, pp. 167-193, 2021;
  14. 史存会, 俞晓明, 刘悦, 靳小龙, 程学旗. 基于视觉的网页重要变化检测方法, 模式识别与人工智能, vol. 33, no. 11, pp. 1004-1012, 2020;
  15. 庄传志, 靳小龙, 朱伟健, 刘静伟, 程学旗. 基于深度学习的关系抽取研究综述, 中文信息学报, vol. 33, no. 12, pp. 1-18, 2019;
  16. 苏佳林, 王元卓, 靳小龙, 程学旗. 自适应属性选择的实体对齐方法, 山东大学学报(工学版), vol. 50, no. 1, pp. 14-20, 2020;
  17. 白龙, 靳小龙, 席鹏弼, 程学旗. 基于远程监督的关系抽取研究综述, 中文信息学报, vol. 33, no. 10, pp. 10-17, 2019;
  18. 曾宇涛, 林谢雄, 靳小龙, 席鹏弼, 王元卓. 基于多维信息融合的知识库问答实体链接, 模式识别与人工智能, vol. 32, no. 7, pp. 642-651, 2019;
  19. 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;
  20. 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;
  21. Yahui Liu, Xiaolong Jin, 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;
  22. 史存会, 孟剑, 俞晓明, 刘悦, 靳小龙. 一种基于时间序列预测的重采策略, 中文信息学报, vol. 33, no. 7, pp. 101-109, 2019;
  23. 苏佳林, 王元卓, 靳小龙, 李曼玲, 程学旗. 融合语义和结构信息的知识图谱实体对齐方法, 山西大学学报(自然科学版), vol. 42, no. 1, pp. 23-30, 2019;
  24. Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng. Path-Specific Knowledge Graph Embedding, Knowledge-Based Systems, vol. 151, pp. 37-44, 2018;
  25. 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;
  26. 延浩然, 靳小龙, 贾岩涛, 程学旗. 一种改进的实体关系抽取算法—OptMultiR, 中文信息学报, vol. 32, no. 9, pp. 66-74, 2018;
  27. 官赛萍, 靳小龙, 贾岩涛, 王元卓, 程学旗. 面向知识图谱的知识推理研究进展, 软件学报, vol. 29, no. 10, pp. 2966-2994, 2018;
  28. 于建业, 王元卓, 靳小龙, 程学旗. 基于社交演化博弈的社交网络用户信息分享行为演化分析 (Evolutionary Analysis on Information Sharing Behavior in Social Networks Based on Social Evolutionary Game),电子学报, vol. 46, no. 1, pp. 223-229, 2018;  
  29. 周楠, 杜攀, 靳小龙, 刘悦, 程学旗. 面向舆情事件的子话题标签生成模型ET-TAG, 计算机学报, vol. 41, no. 7, pp. 1490-1503, 2018;
  30. 刘雅辉, 靳小龙, 沈华伟, 鲍鹏, 程学旗. 社交媒体中的谣言识别研究综述, 计算机学报, vol. 41, no. 7, pp. 1536-1558, 2018;
  31. 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;
  32. 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;
  33. 官赛萍, 靳小龙, 徐学可, 伍大勇, 贾岩涛, 王元卓, 刘悦, 基于WMD距离与近邻传播的新闻评论聚类, 中文信息学报, vol. 31, no. 5, pp. 203-214,2017;
  34. 陈新蕾, 贾岩涛, 王元卓, 靳小龙, 程学旗. 开放知识库构建技术的多维量化评价方法. 计算机科学, vol. 44, no. 12, 2017;
  35. 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;
  36. 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;
  37. 林海伦, 贾岩涛, 王元卓, 靳小龙, 程学旗, 王伟平. 基于复合结构的知识库分类体系匹配方法, 计算机研究与发展, 54, 1, 50-62, 2017;
  38. 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;
  39. Yantao Jia, Yuanzhuo Wang, Xiaolong Jin and Xueqi Cheng. Location Prediction: A Temporal-Spatial Bayesian Model, ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 3, pp. 31:2-31:25, 2016;
  40. 赵泽亚, 贾岩涛, 王元卓, 靳小龙, 程学旗. 大规模演化知识网络中的关联推理, 计算机研究与发展, vol. 53, no. 2, pp. 492-502, 2016;  
  41. Xiaolong Jin, Benjamin W. Wah, Xueqi Cheng, and Yuanzhuo Wang, Significance and Challenges of Big Data Research, Big Data Research, vol. 2, no. 2, pp. 59–64, 2015;
  42. 赵泽亚, 贾岩涛, 王元卓, 靳小龙, 程学旗. 基于动态异构信息网络的时序关系预测, 计算机研究与发展, 52, 8, 1735-1741, 2015;
  43. 刘雅辉, 张铁赢, 靳小龙, 程学旗. 大数据时代的个人隐私保护, 计算机研究与发展, 52, 1, 229-247, 2015;
  44. 王元卓, 贾岩涛, 刘大伟, 靳小龙, 程学旗. 基于开放网络知识的信息检索与数据挖掘, 计算机研究与发展, 52, 2, 456-474, 2015;
  45. 程学旗, 靳小龙, 王元卓, 郭嘉丰, 张铁赢, 李国杰. 大数据系统和分析技术综述, 软件学报, 25, 9, 1889-1908, 2014;
  46. 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;
  47. 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;
  48. 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;
  49. 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;
  50. 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;
  51. 于然, 靳小龙, 王元卓, 程学旗. 基于多视角特征融合的中文垃圾微博过滤, 山东大学学报(理学版), 48, 11, 53-58, 2013;
  52. 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;
  53. 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;
  54. 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;
  55. 王元卓, 靳小龙, 程学旗. 网络大数据:现状与展望, 计算机学报, 36, 6, 1125-1138, 2013;
  56. 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;
  57. 程学旗, 郭嘉丰, 靳小龙, 网络信息的检索与挖掘回顾, 中文信息学报, 25, 6, 111-117, 2011;
  58. 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, 2011;
  59. 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;
  60. 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, 2010;
  61. 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, 2010;
  62. 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, 2009;
  63. 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, 2009;
  64. 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, 2009;
  65. 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, 2008;
  66. 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, 2008;
  67. 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, 2008;
  68. 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, 2007;
  69. Xiaolong Jin and Geyong Min, Comprehensive Analytical Model for Priority Queueing with Heterogeneous Traffic, IET Electronics Letters, vol. 43, no. 24, pp. 1395-1396, 2007;
  70. 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, 2007;
  71. 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, 2005;
  72. 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, 2005;
  73. Zhen Yang and Xiaolong Jin, Adaptive Task Allocation in Peer-to-Peer Grids (in Chinese), Computer Engineering and Applications, vol. 41, no. 11, 2005;
  74. 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;
  75. 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, 2005;
  76. 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, 2004;
  77. Xiaolong Jin and Jiming Liu, From Individual Based Modeling to Autonomy Oriented Computation, Lecture Notes in Artificial Intelligence, vol. 2969, pp. 151-169, 2004;
  78. 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, 2004;
  79. Yi Tang, Jiming Liu and Xiaolong Jin, Adaptive Compromises in Distributed Problem Solving, Lecture Notes in Computer Science, vol. 2690, pp. 31-40, 2003;
  80. 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, 2002;
  81. Xiaolong Jin and Jiming Liu, Multiagent SAT (MASSAT): Autonomous Pattern Search in Constrained Domains, Lecture Notes in Computer Science, vol. 2462, pp. 318-328, 2002;
  82. Xiaolong Jin and Wangqiang Wei, A Kindred Reasoning Model Based on Commonsense Knowledge (in Chinese), Computer Engineering and Applications, vol. 37, no. 17, pp. 83-85, 134, 2001.

会议论文

  1. 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;
  2. 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) (Acceptance rate:19.6%), Washington, DC, USA., February 7-14, 2023;
  3. 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;
  4. 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;
  5. 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;
  6. 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;
  7. 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;
  8. 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;
  9. 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;
  10. 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;
  11. 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;
  12. Chuanzhi Zhuang, Ningyu Zhang, Zhong Li, Shumin Deng, Xiaolong Jin and Huajun Chen. Joint Extraction of Triple Knowledge Based on Relation Priority. The 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA-2020), Online, December 17-19, 2020;
  13. 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) (Acceptance Rate=32.9%), Online, December 8-11, 2020;
  14. 庄传志, 靳小龙, 王亚杰, 童佳, 程学旗. 基于Transformer的实体关系联合抽取. 第八届CCF大数据学术会议(CCF Big Data 2020), 重庆, 20201022-24;
  15. 赵凯琳, 靳小龙, 王元卓, 程学旗. 小样本学习研究综述. 第一届国防大数据学术年会(NDBD 2020), 合肥, 安徽, 20201031-111;
  16. 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;
  17. 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;
  18. 史存会, 俞晓明, 刘悦, 靳小龙, 程学旗. 基于视觉的网页重要变化检测方法, 第二十六届全国信息检索学术会议(CCIR 2020), 西安, 2020814-16;
  19. Yinghan Shen, Xuhui Jiang, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. Dynamic Relation Extraction with A Learnable Temporal Encoding Method, The 11th IEEE International Conference on Knowledge Graph (ICKG-2020), Nanjing, China, August 9-11, 2020;
  20. Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification, The 11th IEEE International Conference on Knowledge Graph (ICKG-2020), Nanjing, China, August 9-11, 2020;
  21. 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;
  22. Long Bai, Xiaolong Jin, Chuanzhi Zhuang, Xueqi Cheng. Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), New York, USA, February 7-12, 2020;
  23. Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng. Link Prediction between Group Entities in Knowledge Graphs, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-2020), New York, USA, February 7-12, 2020;
  24. 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;
  25. Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. Semi-supervised Auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good, the 18th IEEE/WIC/ACM International Conference on Web Intelligence (WI-2019), Thessaloniki, Greece, October 14-17, 2019;
  26. 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, China, November 3-7, 2019;
  27. 苏佳林, 王元卓, 靳小龙, 程学旗. 自适应属性选择的实体对齐方法, 2019中国计算机学会人工智能会议(CCFAI-2019), 2019819-22;
  28. 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;
  29. Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, and Xueqi Cheng. Path Reasoning over Knowledge Graph: A Multi-Agent and Reinforcement Learning Based Method, The 6th ICDM Workshop on Data Science and Big Data Analytics (DSBDA-18), Singapore, November 17-20, 2018;
  30. 白龙, 靳小龙, 席鹏弼, 程学旗. 基于远程监督的关系抽取研究综述, 第二十四届全国信息检索学术会议(The 24th China Conference on Information Retrieval, CCIR 2018), 2018927-29;
  31. 苏佳林, 王元卓, 靳小龙, 李曼玲, 程学旗. 融合语义和结构信息的知识图谱实体对齐方法, 第二十四届全国信息检索学术会议(The 24th China Conference on Information Retrieval, CCIR 2018), 2018927-29;
  32. Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. Shared Embeddings Based Neural Network for Knowledge Graph Completion, the 27th ACM International Conference on Information and Knowledge Management (CIKM-2018), Lingotto, Turin, Italy, October 22-26, 2018;
  33. Yunqi Qiu, Yuanzhuo Wang, and Xiaolong Jin. Joint Detection of Topic Entity and Relation for Simple Question Answering, The 11th International Conference on Knowledge Science, Engineering and Management (KSEM-18), August 17-19, 2018;
  34. Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention, The 56th Annual Meeting of the Association for Computational Linguistics (ACL-18), July 15-20, 2018;
  35. Yunqi Qiu, Manling Li, Yuanzhuo Wang, Yantao Jia, Xiaolong Jin. Hierarchical Type Constrained Topic Entity Detection for Knowledge Base Question Answering, The 2018 International World Wide Web Conference (WWW-18), 2018;
  36. Zixuan Li, Yunqi Qiu, Fan Yang, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Haoran Yan, Kailin Zhao, and Jialin Su. The Open Knowledge System for TAC KBP 2017, Text Analysis Conference (TAC 2017), November, 2017;
  37. 官赛萍, 靳小龙, 贾岩涛, 王元卓, 程学旗. 知识图谱上的关系推理研究, 第五届CCF大数据学术会议(The Fifth CCF National Academic Conference on Big Data, CCF Big Data 2017), 20171013-15;
  38. 延浩然, 靳小龙, 贾岩涛, 程学旗. 一种改进的实体关系抽取算法—OptMultiR, 第五届CCF大数据学术会议(The Fifth CCF National Academic Conference on Big Data, CCF Big Data 2017), 20171013-15;
  39. 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), August 9-10, 2017;
  40. 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), August 19-25, 2017;
  41. 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), pp. 763-764, April 3-7, 2017;
  42. 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), May 23-26, 2017;
  43. 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), November 14-15, 2016;
  44. 周楠, 杜攀, 靳小龙, 刘悦, 程学旗. 面向舆情事件的子话题标签生成模型ET-TAG, 第二十二届全国信息检索学术会议(The 22nd China Conference on Information Retrieval, 简称CCIR2016), 20151111-13;
  45. 官赛萍, 徐学可, 靳小龙, 伍大勇, 王元卓, 刘悦. 基于WMD距离与近邻传播的新闻评论聚类, 第四届CCF大数据学术会议(The Fourth CCF National Academic Conference on Big Data, CCF Big Data 2016),  20161012-13;
  46. 刘景能, 黎丰泽, 陈义, 靳小龙. 基于广告主题分布的用户行为定向技术研究, 第四届CCF大数据学术会议(The Fourth CCF National Academic Conference on Big Data, CCF Big Data 2016), 20161012-13;
  47. 陈新蕾, 贾岩涛, 王元卓, 靳小龙, 程学旗. 开放知识库构建技术的多维量化评价方法, 第四届CCF大数据学术会议(The Fourth CCF National Academic Conference on Big Data, CCF Big Data 2016), 20161012-13;
  48. 陆源, 王元卓, 李静远, 靳小龙. 社交网络中竞争性信息异步传播模型, 第四届CCF大数据学术会议(The Fourth CCF National Academic Conference on Big Data, CCF Big Data 2016), 20161012-13;
  49. 李静远, 王元卓, 于建业, 邢国亮, 靳小龙. 基于社交演化博弈的社交网络用户关注度竞争分析, 第四届CCF大数据学术会议(The Fourth CCF National Academic Conference on Big Data, CCF Big Data 2016), 20161012-13;
  50. 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%), July 9-15, 2016;
  51. Yantao Jia, YuanzhuoWang, Hailun Lin, Xiaolong Jin, and Xueqi Cheng. Locally Adaptive Translation for Knowledge Graph Embedding, The Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) (Acceptance Rate 26%), February 12–17, 2016;
  52. 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), October 26-28, 2015;
  53. 林海伦, 贾岩涛, 王元卓, 靳小龙, 程学旗, 王伟平. 基于复合结构的知识库分类体系匹配方法(最佳学术论文奖), 第三届CCF大数据学术会议(The Third CCF National Academic Conference on Big Data, CCF Big Data 2015), 20151020-21;
  54. 刘雅辉, 靳小龙, 沈华伟, 鲍鹏, 程学旗. 社会媒体中的谣言传播研究综述, 第二十一届全国信息检索学术会议(The 21st China Conference on Information Retrieval, 简称CCIR2015), 2015823-25;
  55. 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), May 18-22, 2015;
  56. 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), May 18-22, 2015;
  57. 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, November 25-27, 2014;
  58. 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%), November 3-7, 2014;
  59. 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), August 17-20, 2014;
  60. 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;
  61. 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), August 17-20, 2014;
  62. 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;
  63. 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;
  64. 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;  
  65. 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;
  66. 于然, 靳小龙, 王元卓, 程学旗. 基于多视角特征融合的中文垃圾微博过滤, 第十九届全国信息检索学术会议(The 19th China Conference on Information Retrieval, 简称CCIR2013), 2013;
  67. 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;
  68. 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;
  69. 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), February 8-12, 2012;
  70. 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), December 6-10, 2010;
  71. 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, October 27-29, 2010;
  72. 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), May 23-27, 2010;
  73. 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), November 2009;
  74. 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, September 25-27, 2009;
  75. 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, June 2009;
  76. 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), June 2009;
  77. 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), May 2009;
  78. 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), May 2009;
  79. 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, March 2009;
  80. 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), November 2008;
  81. 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, May 2008;
  82. 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, May 2008;
  83. 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, May 2008;
  84. 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", April 2008;
  85. 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), February 2008;
  86. 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, November 2007;
  87. 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, June 2007;
  88. 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, May 2007;
  89. 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, October 2007;
  90. 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, October 2007;
  91. 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, April 2007;
  92. 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), March 2007;
  93. 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, March 2007;
  94. 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, September 2005;
  95. 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, September 2004;
  96. 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, September 2004;
  97. 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, September 2004;
  98. 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, September 2004;
  99. 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, July 2004;
  100. 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, January 2004;
  101. 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, January 2004;
  102. 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, October 2003;
  103. 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, May 2003;
  104. 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, October 2003;
  105. 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, November 2003;
  106. 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, July 2003;
  107. 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), October 30-November 2, 2002.

杂志文章

  1. 胡志磊, 张兴, 赵凯琳, 靳小龙. 事件抽取技术及其应用研究进展, 中国计算机学会通讯, 2023;
  2. 靳小龙, 李紫宣, 程学旗, 任韦澄. 大数据分析处理技术与应用前沿, 中国计算机学会通讯, 18, 11, 2022;
  3. 郑婷一, 庞亮, 靳小龙. 平台经济中的数据与算法安全, 大数据, 8, 4, 2022;
  4. 吴信东, 靳小龙, 陈欢欢, 吴共庆, 刘钧, 官赛萍, 陆汝钤. 大数据知识工程的研究进展与发展趋势, 中国计算机学会通讯, 17, 6, 2021;
  5. 王元卓, 靳小龙, 程学旗. 大数据分析系统创新平台与生态建设, 大数据, 2017;
  6. 潘柱廷, 程学旗, 周涛, 靳小龙, 杨婧等, 2017年中国大数据发展趋势预测及解读, 中国计算机学会通讯, 13, 1, 52-54, 20171;
  7. 刘雅辉, 靳小龙, 沈华伟, 程学旗. 社交媒体中的谣言识别研究及其发展趋势, 中国人工智能学会通讯, vol. 7, no. 3, pp. 18-22, 2016;
  8. 潘柱廷, 程学旗, 袁晓如, 周涛, 靳小龙, CCF大专委2016年大数据发展趋势预测——解读和行动建议, 大数据, 2, 1, 2016;
  9. 程学旗, 靳小龙, 杨婧, 徐君, 大数据技术进展与发展趋势, 科技导报, 36, 14, 49-59, 2016;
  10. 程学旗, 潘柱廷, 靳小龙, 袁晓如等, 2016年大数据发展趋势预测解读, 中国计算机学会通讯, 12, 1, 40-45, 20161;
  11. 程学旗, 潘柱廷, 靳小龙, 杨婧, 2015年大数据发展趋势预测, 中国计算机学会通讯, 11, 1, 48-52, 20151;
  12. 程学旗, 靳小龙, 查礼, 王莉, 黄宜华, 大数据会议专家观点分享——2013 CCF中国大数据技术大会和学术大会介绍, 10, 2, 78-81, 20142;
  13. 程学旗, 潘柱廷, 靳小龙, 2014年大数据发展趋势预测, 中国计算机学会通讯, 10, 1, 32-36, 20141;
  14. 程学旗, 王元卓, 靳小龙, 网络大数据计算技术与应用综述, 科研信息化技术与应用, 4, 6, 3-14, 2013;
  15. 靳小龙, 王元卓, 程学旗. 大数据的研究体系与现状, 信息通信技术, 7, 6, 35-43, 2013;
  16. 靳小龙, 王元卓, 程学旗. 大数据的核心问题与研究体系, 信息技术快报, 13, 3, 1-14, 2013;
  17. 程学旗, 潘柱廷, 靳小龙, 大数据热点问题与2013年发展趋势分析, 中国计算机学会通讯8, 12, 40-44, 2012;
  18. 沈华伟, 靳小龙, 任福新, 程学旗. 面向社会媒体的舆情分析, 中国计算机学会通讯, 8, 4, 32-36, 2012;
  19. Xiaolong Jin, Jianmin Jiang, Geyong Min. A software agent and Web service based system for digital preservation, First Monday, vol. 15, no. 10, 2010;
  20. 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.

奖励&荣誉

  • 2023年,香港浸会大学理学院杰出校友奖 (Distinguished Science Alumni Award)
  • 2023年,中国计算机学会(CCF)大数据专家委员会杰出服务奖
  • 2021年,中创软件人才奖
  • 2019年,Top Cited Articles Award,Elsevier
  • 2018年,Service Award,The 4th IEEE International Conference on Data Science and Systems (DSS-2018)
  • 2017年,国家科学技术进步二等奖
  • 2017年,Best Student Paper Award,The 8th IEEE International Conference on Big Knowledge (ICBK-2017)
  • 2017年,Outstanding Service Award,The Third IEEE International Conference on Smart Data (SmartData-17)
  • 2016年,中国电子学会科学技术进步一等奖
  • 2015年,中国科学院计算技术研究所卓越之星
  • 2015年,Best Paper Award,The 15th IEEE International Conference on Computer and Information Technology (CIT-2015)
  • 2015年,第三届CCF大数据学术会议最佳学术论文奖
  • 2014年,入选宁波市海外高层次人才和高端创业创新团队引进计划(“3315计划”)创新人才
  • 2012年,Outstanding Leadership Award,The Eleventh IEEE International Conference on Ubiquitous Computing and Communications (IUCC-12)
  • 2010年,Outstanding Service Award,The 2010 IEEE Joint Conferences:CIT-2010, ScalCom-2010, ICESS-2010
  • 2009年,Outstanding Leadership Award,The Eleventh IEEE International Conference on High Performance Computing and Communications (HPCC-09)
  • 2007年,IEEE Best Paper Award,The IEEE 21st International Conference on Advanced Information Networking and Applications (AINA'07)
  • 2003年,Excellent Paper Award,The Second International Conference on Active Media Technology (ICAMT'03)