中国人工智能发展报告:知识工程(2019—2020)
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参考资料

[1] 王元卓,贾岩涛,林海伦,程学旗. 开放网络知识计算[M]. 北京: 清华大学出版社,2018.

[2] Yantao Jia,Yuanzhuo Wang,Hailun Lin,Xiaolong Jin,Xueqi Cheng. Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach[J]. ACM Transactions on the Web,2017,12(2):8.

[3] Manling Li,Yantao Jia,Yuanzhuo Wang,Jingyuan Li,Xueqi Cheng. Hierarchy-Based Link Prediction in Knowledge Graphs[C]. In Proceedings of the 25th International World Wide Web Conference. Québec: International World Wide Web Conferences Steering Committee,2016: 77-78.

[4] Manling Li,Yantao Jia,Yuanzhuo Wang,Zeya Zhao,Xueqi Cheng. Predicting Links and Their Building Time: A Path-based Approach[C]. In Proceedings of the 30th AAAI Conference on Artificial Intelligence. Phoenix: ACM,2016: 4228-4229.

[5] Yantao Jia,Yuanzhuo Wang,Xiaolong Jin,Xueqi Cheng. Location Prediction: A Temporal-Spatial Bayesian Model[J]. ACM Transactions on Intelligent Systems and Technology,2016,7(3):31.

[6] 王元卓,贾岩涛,赵泽亚,程学旗.OpenKN—网络大数据时代的知识计算引擎[J]. 计算机学会通讯,2014,10(11):30-35.

[7] 王晓阳,郑骁庆,肖仰华. 智慧搜索中的实体与关联关系建模与挖掘[J]. 通信学报,2017,36(12): 178-189.

[8] 张兴旺,李晨晖. 数字图书馆大数据知识服务体系协同设计研究[J]. 图书与情报,2015,159(3): 61-70.

[9] Yunqi Qiu,Manling Li,Yuanzhuo Wang,Yantao Jia and Xiaolong Jin. Hierarchical Type Constrained Topic Entity Detection for Knowledge Base Question Answering[C]. In Proceedings of the 27th International World Wide Web Conference. Lyon France: International World Wide Web Conferences Steering Committee,2018.

[10] A.L. Barabasi. The network takeover[J]. Nature Physics,2012,8(1): 14-16.

[11] 李国杰. 大数据研究的科学价值[J]. 中国计算机学会通讯,2012,8(9): 8-15.

[12] Bo Yang,Jiming Liu,Da-you Liu. Characterizing and extracting multiplex patterns in complex networks[J]. IEEE Transactions on Systems,Man,and Cybernetics-Part B:Cybernetics,2012,42(2): 469-481.

[13] Bo Yang,Jiming Liu. Mining multiplex structural patterns from complex networks[M]. Springer-Verlag Press,2016. 279-306.

[14] 杨博,赵学华. 网络理论与多 Agent 系统研究[J]. 中国计算机学会通讯,2014,10(9): 24-30.

[15] Bo Yang,Xuehua Zhao. On the Scalable Learning of Stochastic Blockmodel[C]. In proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI’15),2015: 360-366.

[16] Bo Yang,Xuehua Zhao,Xueyan Liu. Bayesian approach to community detection in signed networks[C]. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI’15),2015: 1952-1958.

[17] Bo Yang,Xueyan Liu,Yang Li,Xuehua Zhao. Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis[J]. IEEE Tra-nsactions on Knowledge and Data Engineering,2017,29(9): 2026-2039

[18] 赵学华,杨博,陈贺昌. 一种高效的随机块模型学习算法[J].软件学报,2016,27(9): 2248-2264.

[19] Xuehua Zhao,Bo Yang,Hechang Chen. Statistical inference for community detection in signed networks[J]. Physical Review E,2017.

[20] Bo Yang,Yu Lei,et al. Social Collaborative Filtering by Trust[C]. In Proceed-ings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI13),2013: 2747-2753.

[21] Bo Yang,Yu Lei,Jiming Liu,Wenjie Li. Social collaborative filtering by trust[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),2017,39(8): 1633-1647.

[22] C. Guo,J. Zhang,Y.S. Neil. A novel recommendation model regularized with user trust and item ratings[J]. IEEE Transactions on Knowledge and Data Engineering,2016,28(7): 1607-1620.

[23] A. J. B. Chaney,D. M. Blei,and T. Eliassi-Rad,A probabilistic model for using social networks in personalized item recommendation[C]. In Proceedings of the 9th ACM Conference Recommender Systems,2015: 43-50.

[24] Bo Yang,Guo Hua,et al. Modeling and mining spatiotemporal patterns of infection risk from heterogeneous data for active surveillance planning[C]. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 14),2014: 493-499.

[25] Bai Yuan,Bo Yang,et al. Optimizing sentinel surveillance in temporal network epidemiology[J]. Scientific Report,2017,7:4804

[26] Bo Yang,Hongbin Pei,et al. Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(8): 1532-1546.

[27] Hongbin Pei,Bo Yang,Jiming Liu. Group Sparse Bayesian Learning for Actively Surveillance on Epidemic Dynamics[C]. AAAI,2018.

[28] Yiyu Yao. Three-way decisions and cognitive computing[J]. Cognitive Computation,2016.

[29] B. Ball,B. Karrer,M. Newman. Efficient and principled method for detecting communities in networks[J]. Physical Review E,2011.