Yuxuan Liang

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Yuxuan Liang
Ph.D. Candidate
School of Computing, National University of Singapore

Email: yuxliang at outlook.com
[Google Scholar][Linkedin] [Github]

at 11 Computing Dr, Singapore 117416

About me

I am a third-year PhD student at School of Computing, National University of Singapore, supervised by Prof. Roger Zimmermann and Prof. David S. Rosenblum. I have published some papers in refereed journals and conferences (with 1K+ citations), such as TKDE, KDD, NeurIPS, WWW, IJCAI, AAAI, MM and UbiComp. I also serve as a PC member (reviewer) for several top-tier conferences, e.g., KDD, ICML, ICLR, NeurIPS, IJCAI and AAAI. Thanks to the supervision of Prof. Yu Zheng and Dr. Junbo Zhang, I started my research career at Microsoft Research Asia (MSRA) and graduated from Xidian University. My research interests lie in Spatio-Temporal Data Mining, Urban Computing and Graph Learning.


  • [02-24-2022] Two spatio-temporal AI papers (GeoMAN and stMTMVL) were selected as Most Influential IJCAI Papers.

  • [02-24-2022] One spatio-temporal AI paper (ST-MetaNet) was selected as Most Influential KDD Papers.

  • [12-09-2021] New milestone: my Google Scholar citation has reached four digits.

  • [09-29-2021] Two papers about graph neural networks were accepted by NeurIPS’21.

  • [07-20-2021] Invited to serve as a session chair at KDD’21.

  • [07-05-2021] One paper about learning geotagged images was accepted by ACM MM’21.

  • [04-30-2021] One paper about Neural ODEs was accepted by IJCAI’21.

  • [03-22-2021] One paper about cascading inference was accepted by IEEE TVCG.

  • [03-18-2021] Awarded SDSC Dissertation Research Fellowship (10 annual quotas for Singapore-based PhD Students).

  • [01-16-2020] Four papers about ST prediction and GNN were accepted by WWW’21.

Working Experience

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Featured Publications [See more]

  • UrbanFM: Inferring Fine-Grained Urban Flows [Code]
    Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
    in Proc. of The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.

  • Fine-Grained Urban Flow Prediction
    Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David Rosenblum and Roger Zimmermann
    The Web Conference 2021 (WWW), 2021.

Community Services

  • Conference PC member / Reviewer: KDD’22, ICLR’22, IJCAI’22, AAAI’22, SDM’22, NeurIPS’21, KDD’21, ICML’21, ICLR’21, AAAI’21, NeurIPS’20, AAAI’20, ECML-PKDD’20, etc.

  • Conference External reviewer: KDD’20, IJCAI’19, KDD’19, KDD’18, SDM’18, CIKM’18, KDD’17, CIKM’17, ICDM’16, GIS’16, etc.

  • Journal reviewer: TKDE, TMC, IMWUT, T-ITS, TIST, TR Part C, IEEE Sensor, etc