Download CV - UCSB Computer Science - University of California, Santa Barbara

Yu Su
Ph.D. Candidate, Department of Computer Science
University of California, Santa Barbara
6920 Whittier Dr., Apt 130
Goleta, CA, USA 93117
Tel: +1 (805) 886-7320
Email: [email protected]
Website: http://cs.ucsb.edu/~ysu/
RESEARCH INTERESTS
I have broad interests in understanding formal knowledge, free text, and their interplay.
Specifically, I have been working on natural language interfaces/question answering for knowledge
bases, web tables, and web APIs, using machine learning (deep learning in particular) and natural
language processing techniques. I'm also interested in general graph problems like graph kernels.
EDUCATION
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09/2012 - Present,
University of California, Santa Barbara (UCSB), USA
Ph.D. Candidate, Computer Science
Advisor: Prof. Xifeng Yan
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09/2008 - 07/2012,
Tsinghua University, Beijing, China
B.E., Computer Science and Technology
GPA: 89.3/100 Rank: 14/117
APPOINTMENTS
Research Intern, Microsoft Research Redmond, 06/2016 - 09/2016
Worked with Dr. Ahmed Hassan Awadallah, Dr. Patrick Pantel, and Dr. Michael Gamon on learning
natural language interfaces for web APIs from zero users and data. Submitted to WWW’17.
Research Intern, U.S. Army Research Laboratory, 05/2015 - 06/2015, 09/2015 - 11/2015,
05/2016 - 06/2016
Worked with Dr. Brian Sadler and Dr. Michelle Vanni on benchmarking question answering systems,
text network construction, and visual question answering. Published in EMNLP’16 and SPIE
Defense+Security’16.
Research Intern, IBM T.J. Watson Research Center, 06/2015 - 09/2015
Worked with Dr. Mudhakar Srivatsa on exploiting user feedback in knowledge graph search and
benchmarking question answering systems. Published in KDD’15 and EMNLP’16.
Research Assistant, Dept. of Computer Science, UCSB, 06/2013 - Present
Working with Prof. Xifeng Yan on natural language interfaces for structured data including
knowledge bases, web tables, and web APIs.
Teaching Assistant, Dept. of Computer Science, UCSB, 09/2012 - 06/2013
Taught Computer Networking and Object Oriented Programming.
Undergraduate Research Assistant, University of Notre Dame, 07/2011 - 09/2011
Worked with Prof. Xiaobo Sharon Hu on energy saving for wireless sensor networks.
PUBLICATIONS
In Submission
1. Y. Su, A. H. Awadallah, P. Pantel, M. Gamon, M. Khabsa, M. Encarnacion. “Natural
Language Interface to Web API: A Learning-From-Zero Approach”. Submitted to
WWW’17.
2. I. Gur, S. Yavuz, Y. Su, X. Yan. “Question Answering on Freebase using Long-Short Term
Memory with Structure”. Submitted to WWW’17.
Refereed Conference Papers
1. Y. Su, H. Sun, B. Sadler, M. Srivatsa, I. Gur, Z. Yan, X. Yan. “On Generating
Characteristic-rich Question Sets for QA Evaluation”. In Empirical Methods in Natural
Language Processing, 2016 (EMNLP’16 long paper).
2. S. Yavuz, I. Gur, Y. Su, M. Srivatsa, X. Yan. “Improving Semantic Parsing via Answer Type
Inference”. In Empirical Methods in Natural Language Processing, 2016 (EMNLP’16 oral).
3. Y. Su, F. Han, R. Harang, X. Yan. “A Fast Kernel for Attributed Graphs”. In Proc. of SIAM
International Conference on Data Mining, 2016 (SDM’16 oral).
4. H. Sun, H. Ma, X. He, W.-T. Yih, Y. Su, X. Yan. “Table Cell Search for Question Answering”.
In Proc. of the 25st International World Wide Web Conference, 2016 (WWW’16 oral).
5. S. Kase, M. Vanni, J. Knight, Y. Su, X. Yan. “Visual graph query formulation and exploration:
a new perspective on information retrieval at the edge”. In Proc. of SPIE 9851,
Next-Generation Analyst IV, 2016 (SPIE Defense+Security’16)
6. Y. Su, S. Yang, H. Sun, M. Srivatsa, S. Kase, M. Vanni, X. Yan. “Exploiting Relevance
Feedback in Knowledge Graph Search”, In Proc. of the 21st ACM SIGKDD Int. Conf. on
Knowledge Discovery and Data Mining, 2015 (KDD’15 oral).
7. Z. Zhang, L. Zhou, X. Zhao, G. Wang, Y. Su, M. Metzger, H. Zheng, and B. Y. Zhao. “On the
Validity of Geosocial Mobility Traces”. Proc. of the 12st ACM Workshop on Hot Topics in
Networks, 2013 (HotNets’13).
Grant Proposal Writing (Significant Contribution)
1. “NSF III: Small: Knowledge Graph Query Processing and Benchmarking”, National Science
Foundation Award Number: NSF IIS 1528175. Xifeng Yan (PI), Grant: $500K, 2015-2018.
2. “Faceted Taxonomy and Search”, funded by the U.S. Army Research Laboratory. Xifeng Yan
(PI), Jiawei Han (co-PI), Grant: $1.5M, 2016-2018.
AWARDS & HONORS
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NSF-funded SDM Travel Award, 2016
UCSB LINK Lab Fellowship, UCSB, 2012
Outstanding Graduate, Tsinghua University, 2012
Chinese National Endeavor Fellowship, Tsinghua University, 2009 and 2011
Outstanding Freshmen, Tsinghua University, 2008 (top-10 in the National College Entrance
Examination, out of 500K examinees in Hunan Province)
TEACHING
1.
Guest Lecturer (UCSB)
[Fall 2016] Data and Knowledge Bases (CS273)
[Spring 2014/Spring 2015/Spring 2016] Advanced Data Mining (CS 291K/290D)
2.
Teaching Assistant (UCSB)
[Spring 2013] Object-Oriented Design and Implementation (CS 32)
[Winter 2013] Network Computing (CS 176B)
[Fall 2012] Introduction to Computer Communication Networks (CS 176A)
Invited & Conference Talks
1. Learning from Zero: Recent Advances in Bootstrapping Semantic Parsers using
Crowdsourcing
[10/28/2016] Invited talk at USC/ISI NL Seminar
2. A Fast Kernel for Attributed Graphs
[06/05/2016] Talk and Poster at SDM’16, Miami, United States
3. Exploiting Relevance Feedback in Knowledge Graph Search
[08/15/2015] IBM T.J. Watson Research Center
[08/12/2015] SIGKDD’15, Sydney, Australia. Presented by Prof. Xifeng Yan
4. Search over Large-scale Knowledge Graphs
[11/14/2014] Invited talk at IGERT Network Science Seminar, UCSB
PROFESSIONAL ACTIVITIES
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Participation in
EMNLP’16, Austin, Nov. 1-5th, 2016
Bay Area Deep Learning School, Stanford, Sept. 24-25th, 2016
SIGKDD’16, San Francisco, Aug. 12-17th, 2016
SDM’16, Miami, May 5-7th, 2016
ICDM’15, Atlantic City, Nov. 14-17th, 2015
ARL Open Campus Open House, Aberdeen, MD, Nov. 3-4th, 2015
SIGKDD’14, New York, Aug. 24-27th, 2014
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Reviewer
WWW’17
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External Reviewer
EMNLP’16, CIKM’16, ICDM’16, KAIS’16, KAIS’15, TKDD’15, VLDB’15, LSNA’14, DMKD’14,
VLDB’14, ICDM’13
REFERENCES
Available upon request