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  2. Yang Y, Gong Z, Cai R, Hao Z. A Robust Noise Resistant Algorithm for POI Identification from Flickr Data [C] //IJCAI, 2017 (CCF A类会议)
  3. Hao Z, Ruan Y, Xiao Y, et al. A multi-task-based classification framework for multi-instance distance metric learning[J]. Neurocomputing, 2017.
  4. Xiao Y, Liu B, Hao Z. A Sphere-Description-Based Approach for Multiple-Instance Learning[J]. IEEE transactions on pattern analysis and machine intelligence, 2017, 39(2): 242-257.
  5. Wen W, Cai R, Hao Z, et al. Recognizing activities from partially observed streams using posterior regularized conditional random fields[J]. Neurocomputing, 2017.
  6. Lu C T, He L, Ding H, et al. Learning from Multi-View Structural Data via Structural Factorization Machines[J]. arXiv preprint arXiv:1704.03037, 2017.
  7. Cai R, Zhang Z, Hao Z, et al. Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017.
  8. Cai R, Qiao J, Zhang Z, Hao Z. SELF: Structural Equational Embedded Likelihood Framework for Causal Discovery. AAAI,2018. (CCF A类会议)
  9. Cai R, Zhang Z, Hao Z, et al. Understanding Social Causalities Behind Human Action Sequences[J]. IEEE transactions on neural networks and learning systems, 2017.
  10. Cai R, Xie F, Chen W, et al. An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data[C]//IWQoS, 2017: 1-6. (CCF B类会议)
  11. Cai R, Liu M, Hu Y, et al. Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports[J]. Artificial Intelligence in Medicine, 2017, 76: 7-15.
  12. Xiao Y, Liu B, Yin J, et al. A multiple-instance stream learning framework for adaptive document categorization[J]. Knowledge-Based Systems, 2017, 120: 198-210.
  13. Hao Z, Cai R, Yang Y, et al. A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog[C]//Computational Science and Engineering (CSE) and Embedded and Ubiquitous Computing (EUC), 2017 IEEE International Conference on. IEEE, 2017, 1: 135-142.
  14. Hong Y, Hao Z, Mai G, et al. An Approach for Inferring Causal Directions from Multi-Dimensional Networks[C]//Computational Science and Engineering (CSE) and Embedded and Ubiquitous Computing (EUC), 2017 IEEE International Conference on. IEEE, 2017, 1: 388-392.
  15. 蔡瑞初, 陈薇, 张坤, 等. 基于非时序观察数据的因果关系发现综述[J]. 计算机学报, 2017, 40(6): 1470-1490.
  16. 郝志峰, 袁琴, 蔡瑞初, 等. 基于加权频繁子树相似度的网页评论信息抽取[J]. 计算机应用研究, 2017, 34(6): 1636-1639.
  17. 王丽娟, 郝志峰, 蔡瑞初, 等. 离散数学的翻转课堂教学法研究[J]. 大学数学, 2017, 33(2): 85-89.
  18. 陈炳丰, 郝志峰, 蔡瑞初, 温雯, 王丽娟, 黄浩, 蔡晓凤. 面向汽车评论的细粒度情感分析方法研究[J]. 广东工业大学学报, 2017, 34(03): 8-14.
  19. 陈炳丰, 郝志峰, 蔡瑞初, 等. 基于 AWCRF 模型的微博情感倾向分类方法[J]. 计算机工程, 2017, 34(7): 187-192.
  20. 郝志峰, 谢峰, 蔡瑞初, 等. 一种利用负熵局部选择外生变量的 DirectLingam 算法[J]. 小型微型计算机系统, 2017, 38(8): 1834-1839.
  21. 温雯, 伍思杰, 蔡瑞初, 等. KECVS: 一个面向专业文献知识实体的类型标注及可视化系统[J]. 计算机应用与软件, 2017, 34(8): 87-91.

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