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个人简介

罗平于2007年在中科院计算所获得博士学位。毕业后,就职于惠普研究院,任研究员、高级研究员等职位,于2014年加入中国科学院计算技术研究所智能信息处理重点实验室任副研究员

研究领域

数据挖掘,机器学习,大数据新型应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. “Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective". In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2013. Wei Shen, JianyongWang, Ping Luo, MinWang. “Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling". In Proceedings of the 19th ACM SIGKDD International Conferenceon Knowledge Discovery and Data Mining (KDD), 2013. Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu. “Harnessing the Wisdom of the Crowds for Accurate Web Page Clipping". In Proceedings of the 18th ACMSIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012. Wei Shen, Jianyong Wang, Ping Luo, Min Wang. “LIEGE: Link Entities in Web Lists with Knowledge Base". In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012. Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu. “Prominent Streak Discovery in SequenceData". In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011. Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi. “Towards Combining Web Classification and Web Information Extraction: a Case Study". In Proceedings of the ACM 15th International Conference on Knowledge Discovery and Data Mining (KDD), 2009. Ping Luo, Hui Xiong, Kevin Lu¨, Zhongzhi Shi. “Distributed Classification in Peer-to-Peer Networks". In Proceedings of the ACM 13th International Conference on Knowledge Discovery and Data Mining (KDD), 2007. Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. “Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework”. In Proceedings of the 23nd International Joint Conference on Artificial Intelligence (IJCAI), 2013. Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen. “Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding". In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), 2011. Ke Gao, Yongdong Zhang, Ping Luo, Wei Zhang, Junhai Xia, Shouxun Lin. “Visual Stem Mapping and Geometric Tense Coding for Augmented Visual Vocabulary". In Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. Wei Shen, Jianyong Wang, Ping Luo, Min Wang. “A Graph-Based Approach for Ontology Population with Named Entities". In Proceedings of the 21th ACM Conference on Information and Knowledge Management (CIKM), 2012. Linpeng Tang, Lei Zhang, Ping Luo, Min Wang. “Incorporating Occupancy into Frequent PatternMining for High Quality Pattern Recommendation". In Proceedings of the 21th ACM Conference on Information and Knowledge Management (CIKM), 2012. (最佳学生论文) Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong. “Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Classification". In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. (最佳论文提名) Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He. “Transfer Learning from Multiple Source Domains via Consensus Regularization". In Proceedings of the ACM 17th Conference on Information and Knowledge Management (CIKM), 2008. Lili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Bingduan Lin, Min Wang, Ning An. “GRIAS: an Entity-Relation Graph based Framework for Discovering Entity Aliases". In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), 2013. Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang. “From Social User Activities to People Affiliation". In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM), 2013. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi. “D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM), 2010. Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen. “Topic Modeling Ensembles". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM), 2010. Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yidong Shen. “Topic Modeling for Sequences of Temporal Activities". In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM),2009. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi. “Discovering and Learning Sensational Episodes of News Events”. WWW 2014.

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