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專著

1.?林政, 靳小龍, 文本情感分析, 清華大學(xué)出版社, ISBN: 978-7-302-53408-2, 2019年;

2.?王元卓, 于建業(yè), 李靜遠(yuǎn), 靳小龍, 社交網(wǎng)絡(luò)演化---模型、方法與案例, 清華大學(xué)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, 靳小龍, 張世武, 吳建兵, 《多智能體系統(tǒng)：模型與實(shí)驗(yàn)》, 清華大學(xué)出版社, ISBN: 302-07016-4,? 2003年11月;

5.?Jiming Liu(作者), 靳小龍(譯者), 張世武(譯者), 《多智能體系統(tǒng)：原理與技術(shù)》, 清華大學(xué)出版社, ISBN：302-06902-6 , 2003年11月;

期刊論文

6.?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;

7.?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;

8.?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;

9.?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;

10.?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;

11.?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;

12.?Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng, Path-Specific Knowledge Graph Embedding, Knowledge-Based Systems, vol. 151, pp. 37-44, 2018;

13.?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;

14.?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;

15.?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;

16.?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;

17.?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;

18.?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;

19.?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;

20.?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;

21.?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;

22.?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;

23.?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;

24.?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;

25.?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;

26.?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;

27.?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;

28.?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;

29.?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;

30.?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;

31.?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;

32.?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;

33.?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;

34.?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;

35.?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;

36.?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;

37.?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;

38.?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;

39.?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;

40.?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;

41.?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;

42.?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;

43.?Xiaolong Jin and Jiming Liu, From Individual Based Modeling to Autonomy Oriented Computation, Lecture Notes in Artificial Intelligence, vol. 2969, pp. 151-169, 2004;

44.?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;

45.?Yi Tang, Jiming Liu and Xiaolong Jin, Adaptive Compromises in Distributed Problem Solving, Lecture Notes in Computer Science, vol. 2690, pp. 31-40, 2003;

46.?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;

47.?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;

會議論文

48.?Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Yucan Guo, Saiping Guan, Jiafeng Guo and Xueqi Cheng, An In-Context Schema Understanding Method for Knowledge Graph Question Answering, the 17th International Conference on Knowledge Science, Engineering and Management (KSEM-2024), Birmingham, UK, August 16-18th, 2024;

49.?Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo and Xueqi Cheng. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL-2024;

50.?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;

51.?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;

52.?Kailin Zhao, Xiaolong Jin, Long Bai, 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;

53.?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;

54.?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;

55.?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;

56.?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;

57.?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;

58.?Xuhui Jiang, Yinghan Shen, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, and Xueqi Cheng. Meta-Path based Social Relation Reasoning in A Deep and Robust Way. The 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), Tianjin, China, April 17-20, 2023;

59.?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;

60.?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;

61.?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;

62.?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;

63.?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;

64.?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;

65.?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;

66.?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;

67.?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;

68.?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;

69.?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), Online, July 11-15, 2021;

70.?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;

71.?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;

72.?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), Online, October 19-23, 2020;

73.?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;

74.?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;

75.?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;

76.?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), Seattle, Washington, USA, July 5-10, 2020;

77.?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;

78.?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;

79.?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), Houston, Texas, USA, February 3-7, 2020;

80.?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;

81.?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), Hong Kong, China, November 3-7, 2019;

82.?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), San Francisco, CA, USA, May 13-17, 2019;

83.?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;

84.?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;

85.?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;

86.?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;

87.?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) (Best Student Paper Award), August 9-10, 2017;

88.?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;

89.?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;

90.?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), July 9-15, 2016;

91.?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), February 12–17, 2016;

92.?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;

93.?Hailun Lin, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng, and Weiping Wang, A Composite Structure based Method for Knowledge Base Taxonomy Matching (Best Academic Paper Award), The Third CCF National Academic Conference on Big Data (CCF Big Data 2015), Oct. 20-21, 2015;

94.?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;

95.?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;

96.?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;

97.?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), November 3-7, 2014;

98.?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;

99.?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;

100. 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;

101. 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;?

102. 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;

103. 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;

104. 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;

105. 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;

106. 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;

107. 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;

108. 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;

109. 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;

110. 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;

111. 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;

112. 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;

113. 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;

114. 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;

115. 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;

116. 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;

117. 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;

118. 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;

119. 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;

120. 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;

121. 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;

122. 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;

123. 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;

124. 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;

125. 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;

126. 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;

127. 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;

128. 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;

129. 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;

130. 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;

131. 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;

132. 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;

133. 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;

134. 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;

135. 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;

136. 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;

137. 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;

137.?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.?

2023：中國計算機(jī)學(xué)會大數(shù)據(jù)專家委員會杰出服務(wù)獎

2023：香港浸會大學(xué)理學(xué)院杰出校友獎

2021：中創(chuàng)軟件人才獎

2019：Top Cited Articles Award, Elsevier

2018：第4屆IEEE數(shù)據(jù)科學(xué)與系統(tǒng)國際會議(DSS-2018)杰出服務(wù)獎

2017：國家科學(xué)技術(shù)進(jìn)步二等獎

2017：第8屆IEEE大知識國際會議(ICBK-2017)最佳學(xué)生論文獎

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2015：第15屆IEEE計算機(jī)與信息技術(shù)國際會議(CIT 2015)最佳學(xué)生論文獎

2015：第三屆CCF大數(shù)據(jù)學(xué)術(shù)會議最佳學(xué)術(shù)論文獎

2012：第11屆IEEE普適計算與通訊國際會議(IUCC'12）杰出領(lǐng)導(dǎo)獎

2010：2010年IEEE CIT, ScalCom, ICESS聯(lián)合大會杰出服務(wù)獎

2009：第11屆IEEE高性能計算與通訊國際會議(HPCC'09）杰出服務(wù)獎

2007：第21屆IEEE高級信息網(wǎng)絡(luò)與應(yīng)用國際會議(AINA'07)IEEE最佳論文獎

2003：第2屆IEEE主動媒體技術(shù)國際會議(ICAMT'03)優(yōu)秀論文獎