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  • Call for papers: ACM Transactions on Intelligent Systems and Technology Special Issue on Deep Learning for Spatio-Temporal Data
  • July 2020: I gave a tutorial on Deep Learning for Spatio-Temporal Data in Urban Computing Summer School 2020
  • July 2020: I was selected for the Beijing Nova Program (北京市科技新星计划)
  • July 2020: One paper was accepted by IEEE Intelligent Systems
  • June 2020: One paper was accepted by CIKM 2020
  • June 2020: One paper was accepted by IEEE TKDE
  • June 2020: One paper was accepted by ECML-PKDD 2020
  • May 2020: One paper was accepted by KDD 2020
  • May 2020: One paper was accepted by IEEE TKDE
  • Mar. 2020: One paper were accepted by IEEE TBD
  • Oct. 2019: One paper was accepted by UbiComp 2020
  • Feb. 2019: I serve as an associate editor (AE) of ACM TIST

Projects

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Deep Learning for Spatio-Temporal Data

Leveraging deep learning techniques and big spatio-temporal data to empower intelligent applications in a city.

Urban Flow

Using a diversity of big data and deep learning techniques to predict citywide crowd/traffic flows throughout a city.

Awards & Honors

  • Beijing Nova Program (北京市科技新星), 2020
  • ACM Chengdu Doctoral Dissertation Award, 2016.
  • Excellent Doctoral Dissertation Nomination Award of Chinese Association for Artificial Intelligence (CAAI), 2016
  • Best Paper Award of IEEE Chengdu Section, 2016
  • Best Paper Award of Tsinghua Science and Technology, 2015
  • Outstanding Ph.D. Graduate of Sichuan Province, 2013
  • National Scholarship, China, 2013
  • National Scholarship, China, 2012
  • “Si Shi Yang Hua (竢实扬华)” Medal in Southwest Jiaotong University, 2012.
  • 2009-2014 Special Grade Scholarship for PhD Students, Southwest Jiaotong University
  • First Prize in the 9th “Huawei Cup” National Postgraduate Mathematical Contest in Modeling, China, 2012

Talks

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