Ping Luo 罗平  

Associate Professor
Key Laboratory of Intelligent Information Processing
Institute of Computing Technology, Chinese Academy of Sciences
University of Chinese Academy of Sciences

No.6 Kexueyuan South Road Zhongguancun,
Haidian District, Beijing, China, 100190

[Biography] [Full Publications] [Recent Publications] [Awards]


Ping have been an associate professor at Institute of Computing Technology, CAS since early 2014. Before that, he was a senior research scientist at the Hewlett Packard Labs since Jul. 2007. He received his Ph.D. from Institute of Technology, CAS. His research interests include machine learning, data mining and the innovative real-world applications.

Recent Publications (Full Publications)

  • Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Onlien Frequent Episode Mining. In ICDE, 2015.

  • Gensheng Zhang, Chengkai Li, Ping Luo, Xiao Jiang, Min Wang. Discovering General ProminentStreaks in Sequence Data. ACM Transactions on Knowledge Discovery from Data, 2014.

  • Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. Silence is also evidence: interpreting dwelltime for recommendation from Psychological Perspective. In KDD, 2013.

  • Wei Shen, JianyongWang, Ping Luo, Min Wang. Linking named entities in tweets with knowledgeBase via user interest modeling. In KDD, 2013.

  • Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. Concept learning for cross-domain text classification: a general probabilistic framework. In IJCAI, 2013.

  • Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. App recommendation: a contest between satisfaction and temptation. In WSDM, 2013.

  • Fuzhen Zhuang, Ping Luo, Changyin Du, Qing He, Zhongzhi Shi. Triplex transfer learning: exploiting both shared and distinct concepts for text classification. In WSDM, 2013.

  • Awards

  • Best Student Paper Award, ACM CIKM for the paper “Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation", 2012.
  • Best Paper Candidate, ACM CIKM for the paper “Collaborative Dual-PLSA: Mining Distinction and Commonality across MultipleDomains for Classification", 2010.
  • Best Paper Candidate, SIAM International Conference on Data Mining for the paper “Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization", 2010.
  • Best Doctoral Dissertation Award, China Computer Federation1, 2009.
  • Outstanding Graduate Student, Graduate University of Chinese Academy of Sciences, 2007.
  • President’s Exceptional Student Award, Institute of Computing Technology, 2007.