Ping Luo

Profile picture
Researcher
Beijing

Biography



Ping is currently a Senior Research Scientist in the Hewlett-Packard Labs, China. He received the Ph.D. degree in computer science from Institute of Computing Technology, Chinese Academy of Sciences. His general area of research is knowledge discovery and machine learning.

 

Research interests

  • Web Mining
  • Information Extraction
  • Transfer Learning
  • Topic Modeling

Awards

  • Best Student Paper Award, ACM CIKM, 2012    
  • Doctoral Dissertation Award, China Computer Federation, 2009  
  • Student Travel Award, ACM SIGKDD, 2007   
  • Outstanding Graduate Student, Graduate University of Chinese Academy of Sciences, 2007
  • President's Exceptional Student Award, Institute of Computing Technology, CAS, 2007
  

Publications

Conference
 

    1. [KDD 2013] Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang. Silence is also evidence: Interpreting dwell time for recommendation from Psychological Perspective. In KDD, 2013.  
    2. [KDD 2013] Wei Shen, Jianyong Wang, Ping Luo, Min Wang. Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling. In KDD, 2013.  
    3. [IJCAI 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.   
    4. [WSDM 2013] Peifeng Yin, Ping Luo, Wang-Chien Lee and Min Wang. App Recommendation: A Contest between Satisfaction and Temptation. in WSDM 2013.
    5. [WSDM 2013] Fuzhen Zhuang, Ping Luo, Qing He. Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification. in WSDM 2013.  
    6. [CIKM 2012] Linpeng Tang, Lei Zhang, Ping Luo, Min Wang. Incorporating Occupancy into Frequent Pattern Mining for High Quality Pattern Recommendation. in CIKM 2012 (Appendix, Best Student Paper Award).  
    7. [CIKM 2012] Wei Shen, Jianyong Wang, Ping Luo, Min Wang. A Graph-Based Approach for Ontology Population with Named Entities. in CIKM 2012.  
    8. [KDD 2012] 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 KDD 2012.   
    9. [KDD 2012] Wei Shen, Jianyong Wang, Ping Luo, Min Wang. LIEGE: Link Entities in Web Lists with Knowledge Base. in KDD 2012.
    10. [SIGIR 2012, poster] Lili Jiang, Jianyong Wang, Ping Luo, Ning An, Min Wang. Towards Alias Detection Without String Similarity: an Active Learning based Approach. in SIGIR 2012.   
    11. [WWW 2012] Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge.  In WWW 2012.   
    12. [WWW 2012, poster] Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. APOLLO: A General Framework for Populating Ontology with Named Entities via Random Walks.  In WWW 2012.  
    13. [WSDM 2012] Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee. A Straw Shows Which Way the Wind Blows: Ranking Potentially Popular Items from Early Votes. In WSDM 2012.  
    14. [CIKM 2011, poster] Xu Pu, Jianyong Wang, Ping Luo, Min Wang. AWETO: Efficient Incremental Update and Querying for RDF Storage System. In CIKM 2011.
    15. [KDD 2011, demo] Jian Fan, Ping Luo, Suk Hwan Lim, Sam Liu, Parag Joshi, Jerry Liu. Article Clipper - A System for Web Article Extraction. In KDD 2011.  
    16. [KDD 2011] Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu. Prominent Streak Discovery in Sequence Data. In KDD 2011.  
    17. [IJCAI 2011] Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen. Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. In IJCAI 2011. 
    18. [WWW 2011, poster] Wei Shen, Jianyong Wang, Ping Luo, Min Wang, Conglei Yao. REACTOR: A Framework for Semantic Relation Extraction and Tagging over Enterprise Data. In WWW 2011.  
    19. [ICDM 2010] 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 ICDM 2010.  
    20. [ICDM 2010, short] Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen. Topic Modeling Ensembles. In ICDM 2010.
    21. [CIKM 2010] Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong. Collaborative Dual-PLSA: Mining Distinction and Commonality across MultipleDomains for Classification. In CIKM 2010.
    22. [SDM 2010] Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, and Zhongzhi Shi. Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization. In SDM 2010.
    23. [ICDM 2009, short] Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, and Yidong Shen. Topic Modeling for Sequences of Temporal Activities. in ICDM 2009.  
    24. [CIKM 2009, demo] Yuhong Xiong, Ping Luo, Yong Zhao, Fen Lin, Shicong Feng, Baoyao Zhou and Liwei Zheng. OfCourse: Web Content Discovery, Classification and Information Extraction for Online Courses. in CIKM 2009.
    25. [DocEng 2009, short] Ping Luo, Jian Fan, Sam Liu, Fen Lin, Yuhong Xiong and Jerry Liu. Web Article Extraction for Web Printing: a DOM+Visual based Approach. in the 9th ACM Symposium on Document Engineering.
    26. [KDD 2009] Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao and Zhongzhi Shi. Towards Combining Web Classification and Web Information Extraction: a Case Study. SIGKDD 2009 (video).
    27. [CIKM 2008] Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong and Qing He. Transfer Learning from Multiple Source Domains via Consensus Regularization. CIKM, 2008.
    28. [KDD 2007] Ping Luo, Hui Xiong, Kevin Lv and Zhongzhi Shi. Distributed Classification in Peer-to-Peer Networks. SIGKDD, 2007 (video).  


Journal

    1. [TKDE 2011] Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong. Mining Distinction and Commonality across Multiple Domains using Generative Model for Text Classification. in TKDE 2011
    2. [TKDE 2010] Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, and Zhongzhi Shi. Cross-domain Learning From Multiple Sources: A Consensus Regularization Perspective. in TKDE 2010. 
    3. [TKDE 2009] Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu and Zhongzhi Shi. Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization. IEEE Transactions on Knowledge and Data Engineering 21(9), 1249-1262 (2009).
    4. [ChinaScience 2009] Fuzhen Zhuang, Ping Luo, Qing He, and Zhongzhi Shi. Inductive Transfer Learning for Unlabeled Target-domain via Hybrid Regularization. China Science Bulletin 54(14), 2470-2478 (2009).
    5. [TIT 2007] Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi and Kevin Lv. On Defining Partition Entropy by Inequalities. IEEE Transactions on Information Theory 53(9), 3233-3239 (2007).
    6. [JPDC 2007] Ping Luo, Kevin Lv and Zhongzhi Shi. A Revisit of Greedy Heuristic for Mapping a Class of Independent Task onto Heterogeneous Computing Systems. Journal of Distributed and Parallel Computing 67, 695-714 (2007).

Patents

7

Professional activities

Downloads

clipper.pdf (422.44 KB) - clipper
early.pdf (1.1 MB) - early votes
streak.pdf (1.27 MB) - streak
IJCAI11-236.pdf (678.29 KB) - combine
dofia-appendix.pdf (90.11 KB) - dofia appendix
fp019-tang.pdf (225.85 KB) - dofia
kdd210-Lei.pdf (2.46 MB) - Hui Print