Song Jiang

googlescholar
github
linkedin
linkedin

About Me

Publication

  • Estimating Causal Effects on Networked Observational Data via Representation Learning

    • Song Jiang and Yizhou Sun.

    • CIKM 2022, Atlanta, GA

    • [Paper] [Code to appear]

  • Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting

    • Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik and Yizhou Sun.

    • CIKM 2022, Atlanta, GA

    • [Paper] [Code to appear]

  • Deep Learning of Potential Outcomes

    • Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, and Jacob Gates Foster

    • Preprint 2021

    • [Arxiv]

  • HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding

  • Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

    • Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu

    • NeurIPS'19, Vancouver, Canada

    • [Paper]

Industry Experience

  • Meta AI, Research intern

    • Menlo Park, CA,  Jun 2022 - Sept 2022

  • Amazon Web Services (AWS), Applied scientist intern

    • Boston, MA (Remote),  Jun 2021 - Sept 2021

  • Snap Inc., Research intern

    • Santa Monica, CA (Remote),  Jun 2020 - Aug 2020

Education

  • Ph.D. University of California, Los Angeles (UCLA),  Sept 2018 - now

  • M.E.    Tsinghua University,  Aug 2015  - Jul 2018

  • B.E.      Shandong University,  Sept 2011 - Jun 2015

Services

  • PC member / reviewer: AAAI 2023, CIKM 2022, LoG 2022, IJCAI 2021-2022, ECML-PKDD 2020-2022, KDD 2020, TPAMI, TKDE, TBD.




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