Feng Pan, Ph.D.

I am a Director of Data Science at PayPal. Prior to PayPal, I was a Principal Data Scientist at Apple, where I worked on applying machine learning, data mining techniques to improve search for App Store, iTunes, Siri, Apple Music, Apple TV, iBooks, etc. Before Apple, I worked at Microsoft Bing as Senior Research SDE (previously Natural Language Scientist at Powerset which was acquired by Microsoft in 2008), mainly working on relevance and machine-learned ranking for Web pages and captions (a.k.a. search result summaries). I received my Ph.D. in computer science from the University of Southern California in 2007, and was doing research with my advisor, Dr. Jerry Hobbs, on several natural language processing, machine learning and semantic web projects in the Information Sciences Institute (ISI). I have also worked at IBM T.J. Watson Research Center as a research intern.

Contact: panfeng66 AT gmail DOT com  View my LinkedIn profileView my profile 

My Google Scholar Citation Profile

Research Interests

Machine Learning, Information Retrieval, Web Search, Natural Language Processing, Semantic Web, Knowledge Representation and Reasoning, Artificial Intelligence.

Past Research Projects

Recent Professional Activities

  • PC Member, Applied Data Science Track, KDD 2016
  • PC Member, Industry and Government Track, KDD 2014, KDD 2015
  • PC Member, Research Track, KDD 2013

Selected Publications

  • Feng Pan, Rutu Mulkar-Mehta, and Jerry R. Hobbs. 2011. "Annotating and Learning Event Durations in Text." Computational Linguistics, Vol. 37, No. 4: 727–752. [PDF]
  • Feng Pan, Tim Converse, David Ahn, Franco Salvetti, and Gianluca Donato. 2009. "Feature Selection for Ranking using Boosted Trees." In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), poster session, Hong Kong, China (acceptance rate: 20%). [PDF]
  • Feng Pan, Rutu Mulkar-Mehta, and Jerry R. Hobbs. 2007. "Modeling and Learning Vague Event Durations for Temporal Reasoning." In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI), Nectar Track, pp. 1659-1662, Vancouver, Canada (acceptance rate: 17%). [PDF]
  • Feng Pan and and Robert G. Farrell. 2007. "Computing Semantic Similarity between Skill Statements for Approximate Matching." In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technology (NAACL-HLT), pp. 572-579, Rochester, New York (acceptance rate: 24%). [PDF]
  • Feng Pan, Rutu Mulkar, and Jerry R. Hobbs. 2006. "Learning Event Durations from Event Descriptions". In Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pp. 393-400 Sydney, Australia (acceptance rate: 23%). [PDF] (Annotated data available here)
  • Jerry R. Hobbs and Feng Pan. 2004. "An Ontology of Time for the Semantic Web". ACM Transactions on Asian Language Processing (TALIP): Special issue on Temporal Information Processing, Vol. 3, No. 1, pp. 66-85, March. [PDF]

Full Publications

2011

  • Feng Pan, Rutu Mulkar-Mehta, and Jerry R. Hobbs. 2011. "Annotating and Learning Event Durations in Text." Computational Linguistics, Vol. 37, No. 4: 727–752. [PDF]
  • Feng Pan, Tim Converse, David Ahn, Franco Salvetti, and Gianluca Donato. 2011. "Greedy and Randomized Feature Selection for Web Search Ranking." In Proceedings of the 11th IEEE International Conference on Computer and Information Technology, pp. 436-442, Pafos, Cyprus (acceptance rate: 29%).

2009

  • Feng Pan, Tim Converse, David Ahn, Franco Salvetti, and Gianluca Donato. 2009. "Feature Selection for Ranking using Boosted Trees." In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), poster session, Hong Kong, China (acceptance rate: 20%). [PDF]
  • Feng Pan. 2009. "An Ontology of Time: Representing Complex Temporal Phenomena for the Semantic Web and Natural Language". VDM Verlag Dr. Müller, Germany. March 15. (ISBN-10: 3639127781, ISBN-13: 978-3639127782, available on Amazon)

2008

  • Feng Pan. 2008. "Learning Temporal Information from Text." In Encyclopedia of Data Warehousing and Mining, Second Edition, John Wang (ed.), Information Science Publishing.

2007

  • Feng Pan. 2007. "Representing Complex Temporal Phenomena for the Semantic Web and Natural Language." Ph.D. Thesis. Computer Science Department, University of Sothern California. [PDF]
  • Feng Pan, Rutu Mulkar-Mehta, and Jerry R. Hobbs. 2007. "Modeling and Learning Vague Event Durations for Temporal Reasoning." In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI), Nectar Track, pp. 1659-1662, Vancouver, Canada (acceptance rate: 17%). [PDF]
  • Feng Pan and and Robert G. Farrell. 2007. "Computing Semantic Similarity between Skill Statements for Approximate Matching." In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technology (NAACL-HLT), pp. 572-579, Rochester, New York (acceptance rate: 24%). [PDF]

2006

  • Feng Pan, Rutu Mulkar, and Jerry R. Hobbs. 2006. "Learning Event Durations from Event Descriptions". In Proceedings of the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pp. 393-400 Sydney, Australia (acceptance rate: 23%). [PDF] (Annotated data available here)
  • Feng Pan, Rutu Mulkar, and Jerry R. Hobbs. 2006. "Extending TimeML with Typical Durations of Events". In Proceedings of Annotating and Reasoning about Time and Events workshop at the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pp. 38-45, Sydney, Australia. (Annotated data available here)
  • Feng Pan and Jerry R. Hobbs. 2006. "Temporal Arithmetic Mixing Months and Days". In Proceedings of the 13th International Symposium on Temporal Representation and Reasoning (TIME), Budapest, Hungary, pp. 212-217, IEEE Computer Society. [PDF]
  • Feng Pan, Rutu Mulkar, and Jerry R. Hobbs. 2006. "An Annotated Corpus of Typical Durations of Events". In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC), pp. 77-82, Genoa, Italy. [PDF] (Annotated data available here)
  • Jerry R. Hobbs and Feng Pan. 2006. "Time Ontology in OWL". Ontology Engineering Patterns Task Force of the Semantic Web Best Practices and Deployment Working Group, World Wide Web Consortium (W3C) notes. (http://www.w3.org/TR/owl-time/)
  • Robert G. Farrell and Feng Pan. 2006. "Computing Similarities between Natural Language Descriptions of Knowledge and Skills". IBM Research Report RC24060.
  • Feng Pan. 2006. "An Ontology of Temporal Concepts for the Semantic Web and Natural Language". Ph.D. Thesis Proposal. USC Technical Report USC-CS-TR-06-885.

2005

  • Feng Pan. 2005. "A Temporal Aggregates Ontology in OWL for the Semantic Web". In Proceedings of the AAAI Fall Symposium on Agents and the Semantic Web, Arlington, Virginia, pp. 30-37, AAAI Press. [PDF]
  • Feng Pan and Jerry R. Hobbs. 2005. "Temporal Aggregates in OWL-Time". In Proceedings of the 18th International Florida Artificial Intelligence Research Society Conference (FLAIRS), Clearwater Beach, Florida, pp. 560-565, AAAI Press. [PDF]
  • Feng Pan. 2005. "Temporal Aggregates for Web Services on the Semantic Web". In Proceedings of the IEEE International Conference on Web Services (ICWS), poster session, Orlando, Florida, pp. 831-832, IEEE Computer Society. [PDF]

2004

  • Jerry R. Hobbs and Feng Pan. 2004. "An Ontology of Time for the Semantic Web". ACM Transactions on Asian Language Processing (TALIP): Special issue on Temporal Information Processing, Vol. 3, No. 1, pp. 66-85, March. [PDF]
  • Feng Pan and Jerry R. Hobbs. 2004. "Time in OWL-S". In Proceedings of the AAAI Spring Symposium on Semantic Web Services, Stanford University, CA, pp. 29-36, AAAI Press. [PDF]