Curriculum Vitæ

Modified: 2019/09/23 18:23 by admin - Uncategorized
[ Back to main page | Experience | Research Area | Grants | Awards & Honors | Professional Activities | Professional Services | Publications ]

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Summary

Yang Yu is a Professor in the School of Artificial Intelligence, Nanjing University, China. His research interest is in machine learning, mainly on reinforcement learning and derivative-free optimization for learning. His work has been published in Artificial Intelligence, IJCAI, AAAI, NIPS, KDD, etc. He has been granted several conference best paper awards including IDEAL'16, GECCO'11 (theory track), PAKDD'08, etc. He was in the Champion Team of 2018 OpenAI RetroContest, and the Grand Champion Team of PAKDD 2006 Data Mining Competition. He was recognized as one of the “AI’s 10 to Watch” by IEEE Intelligent Systems in 2018, and received the PAKDD Early Career Award in 2018. He was invited to give an Early Career Spotlight Talk in IJCAI'18. He has served as an Area Chair of AAAI'19 and IJCAI’18; a Senior PC member of IJCAI'15/17; a Publicity Co-chair of IJCAI'16/17 and IEEE ICDM'16; a Workshop Co-chair of ACML'16 and PRICAI’18.

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Experience

  • 2019.1~present: Professor: School of Artificial Intelligence, Nanjing University China.
  • 2014.8~2018.12: Associate Professor: Department of Computer Science, Nanjing University China.
  • 2011.9~2014.7: Assistant Researcher: Department of Computer Science, Nanjing University China.
  • 2005.9~2011.6: Ph.D. degree: Department of Computer Science, Nanjing University, China. Supervisor: Prof. Zhi-Hua Zhou.
  • 2008.9~2009.3: Visiting scholar: CERCIA, The University of Birmingham, U.K. Host supervisor: Prof. Xin Yao.
  • 2004.9~2005.6: Volunteer service in western China as a middle school teacher.
  • 2000.9~2004.6: B.Sc. degree: Department of Computer Science, Nanjing University, China.

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Research Area

  • Artificial Intelligence :: Machine Learning :: Reinforcement Learning
  • Artificial Intelligence :: Computational Intelligence :: Evolutionary Computation
  • Artificial Intelligence :: Machine Learning :: Ensemble Learning

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Grants

  • National Science Foundation of China (61876077): "Reinforcement learning policy search in high dynamic environments: theory and methods", 2019.1~2022.12 (PI)
  • Jiangsu Science Foundation (BK20170013, Project for Distinguished Young Scholars): "Evolutionary reinforcement learning under dynamic environments", 2017.7~2020.6 (PI)
  • Microsoft Research Asia Collaborative Research Project: "Nonconvex optimization for machine learning", 2015. (PI)
  • Jiangsu Science Foundation (BK20160066, Continued Project for Excellent Young Scholars): "Evolutionary reinforcement learning: approaches and applications", 2016.7~2019.6 (PI)
  • Tencent, Inc.: "Evolutionary intelligence recommendation system", 2015.12~2016.12 (PI)
  • Baidu, Inc.: "Learning for multi-dimentional Internet image annotation", 2014.2~2014.12 (Co-PI with Zhi-Hua Zhou)
  • National Science Foundation of China (61375061): "Evolutionary reinforcement learning under uncontrolled situations: theory and algorithms", 2014.1~2017.12 (PI) (project page)
  • Baidu, Inc.: "Research on large scale image annotation under weak labels", 2013.2~2013.12 (Co-PI with Zhi-Hua Zhou)
  • Jiangsu Science Foundation (BK2012303): "Evolutionary reinforcement learning: approaches and applications", 2012.7~2015.6 (PI)
  • Baidu, Inc.: "Research on multi-label learning for image and text data", 2012.2~2012.12 (Co-PI with Zhi-Hua Zhou)

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Awards & Honors

  • Early Career Spotlight Talk: IJCAI 2018
  • Early Career Award: PAKDD, 2018
  • AI's 10 to Watch: IEEE Intelligence Systems, 2018
  • Champion Team: 2018 OpenAI RetroContest (with Qing Da, Jing-Cheng Shi, Anxiang Zeng, Guangda Huzhang, Run-Ze Li)
  • Early Career Science and Technology Award: Jiangsu Province Computer Society, 2017
  • Best Paper Award: IDEAL 2016 (with Chao Qian and Zhi-Hua Zhou)
  • Microsoft Research Asia Collaborative Research Award, 2015
  • Outstanding Doctoral Dissertation Award: National 2013
  • Best Poster Award: KDD 2012 (with Sheng-Jun Huang and Zhi-Hua Zhou)
  • Outstanding Doctoral Dissertation Award: Jiangsu Province 2012
  • Outstanding Doctoral Dissertation Award: Nanjing University 2012
  • Outstanding Doctoral Dissertation Award: CCF (China Computer Federation) 2011
  • Best Theory Paper Award: GECCO 2011 (with Chao Qian and Zhi-Hua Zhou)
  • Best Paper Award: PAKDD 2008 (with Zhi-Hua Zhou)
  • Microsoft Fellowship Award 2007
  • Grand Champion Team: PAKDD 2006 Data Mining Competition (Open Category) (with De-Chuan Zhan, Xu-Ying Liu, Ming Li, and Zhi-Hua Zhou)
  • Best Student Paper Award: The 10th China Conference on Machine Learning (CCML'06) (with Zhi-Hua Zhou)

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Professional Activities

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Invited Talks


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Tutorials

  • Tutorials on Reinforcement Learning (PDF Webpage)
  • IJCAI'13 Tutorial: "An Introduction on Evolutionary Optimization: Recent Theoretical and Practical Advances" (with Ke Tang, Xin Yao and Zhi-Hua Zhou) (Tutorial Webpage)

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Professional Services

Professional Organization Membership: Member of IEEE CIS Technical Committee on Data Mining and Big Data Analytics
Member of IEEE CIS Task Force on Theoretical Foundations of Bio-inspired Computation
AAAI Member, ACM Member, IEEE Member (and IEEE Computation Intelligence Society, Computer Society), CCF Member
Conference Executive Committee: ECOLE (Chinese Workshop on Evolutionary Computation and Learning)
Conference Co-Chair: AAAI'19 Student Track (Student Track of 33rd AAAI Conference on Artificial Intelligence, Jan. 2019, Honolulu, HA)
ECOLE'15 (2nd Chinese Workshop on Evolutionary Computation and Learning, June 2015, Nanjing, China)
ECOLE'14 (1st Chinese Workshop on Evolutionary Computation and Learning, July 2014, Hefei, China)
Fundraising Chair: DAI'19(1st International Conference Distributed Artificial Intelligence, Oct. 2019, Beijing, China)
Conference Area Chair/Senior PC Member: AAAI'19(33rd AAAI Conference on Artificial Intelligence, Jan. 2019, Honolulu, HA )
IJCAI'18(27th International Joint Conference on Artificial Intelligence, July 2018, Stockholm, Sweden )
ACML'16(9th Asian Conference on Machine Learning, Nov. 2017, Seoul, Korea)
IJCAI'17(26th International Joint Conference on Artificial Intelligence, Aug. 2016, Melbourne, Australia )
IJCAI'15(24th International Joint Conference on Artificial Intelligence, July 2015, Buenos Aires, Argentina)
Organization Chair: SSMLA (national student symposium) 2010 2009 2007 2006
Workshop Chair: ACML'16(8th Asian Conference on Machine Learning, Nov. 2016, Hamilton, New Zealand)
Publicity Chair: IJCAI'17(26th International Joint Conference on Artificial Intelligence, Aug. 2016, Melbourne, Australia )
IJCAI'16(25th International Joint Conference on Artificial Intelligence, Jul. 2016, New York, NY)
ICDM'16(17th International Conference on Data Mining, Dec. 2016, Barcelona, Spain)
MCS'13 (11th International Conference on Multiple Classifier Systems, May 2013, Nanjing, China)
PSL'13 (2nd International Workshop on Partially Supervised Learning, May 2013, Nanjing, China)
Registration Chair: ACML'09 (1th Asian Conference on Machine Learning, Nov. 2009, Nanjing, China)
Associate Editor: Frontiers of Computer Science (Junior AE)
Journal Reviewer: Artificial Intelligence
IEEE Transactions on Evolutionary Computation
Theoretical Computer Science
Knowledge and Information Systems
Information Sciences
Neurocomputing
Frontiers of Computer Science in China
Conference PC Member: AAAI'17, FOGA'17
IJCAI'16, AAAI'16, NIPS'16, KDD'16, CVPR'16, GECCO'16, WCCI'16, PPSN'16
KDD'15 (21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug. 2015, Sydney, Australia)
PAKDD'15 (19th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May. 2015, Ho Chi Minh City, Vietnam)
FOGA'15 (13th ACM SIGEVO Conference on Foundation of Genetic Algorithms, Jan. 2015, Aberystwyth, UK)
KDD'14 (20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug. 2014, New York, NY)
ICML'14 (31st International Conference on Machine Learning, June 2014, Beijing, China)
ICTAI'14 (26th IEEE International Conference on Tools with Artificial Intelligence, Nov. 2014, Limassol, Cyprus)
PPSN'14(13th International Conference on Parallel Problem Solving from Nature, Sept. 2014, Ljubljana, Slovenia)
GECCO'14(23rd International Conference on Genetic Algorithms, July 2014, Vancouver, Canada)
WCCI/CEC'14(2014 IEEE World Congress on Computational Intelligence, July 2014, Beijing, China)
IJCAI'13(23rd International Joint Conference on Artificial Intelligence, August 2013, Beijing, China)
KDD'13(19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2013, Chicago, IL)
SDM'13 (13th SIAM International Conference on Data Mining, May 2013, Austin, TX)
ICTAI'13 (25th IEEE International Conference on Tools with Artificial Intelligence, Nov. 2013, Washington DC)
GECCO'13(22nd International Conference on Genetic Algorithms, July 2013, Amsterdam, Netherlands)
CEC'13(2013 IEEE Congress on Evolutionary Computation, June 2013, Cancun, Mexico)
ICTAI'12 (24th IEEE International Conference on Tools with Artificial Intelligence, Nov. 2012, Athens, Greece)
ACML'12 (4th Asian Conference on Machine Learning, Nov. 2012, Singapore)
AAAI'12 (26th AAAI Conference on Artificial Intelligence, Jul. 2012, Toronto, Canada)
PPSN'12 (12th International Conference on Parallel Problem Solving from Nature, Sept. 2012, Taormina, Italy)
CEC'11 (2011 IEEE Congress on Evolutionary Computation, June 2011, New Orleans, LA)
(and more...)

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Publications


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