Yuxuan Liang
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Yuxuan Liang 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 800+ 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, AAAI and ECML-PKDD. 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.
News
[09-29-2021] Two papers about graph neural networks were accepted by NeurIPS’21.
[07-20-2021] Invited to serve as a session chair of KDD’21.
[07-05-2021] One paper about learning representations for 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 Transactions on Visualization and Computer Graphics (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
[Internship] Reserach Intern @ Sea AI Lab (SAIL), Singapore, Summer 2021
[FTE] Research Assistant @ National University of Singapore, Singapore, Nov 2018 - April 2019
[Internship] Algorithm Engineer Intern @ JD.COM, Beijing, China, Jan 2018 - Sep 2018
[Internship] Reserach Intern @ Microsoft Research, Beijing, China, Jan. 2017 - Jan 2018
[Internship] Reserach Intern @ Microsoft Research, Beijing, China, Dec. 2015 - Sep 2016
Featured Publications [See more]
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction [Code]
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
in Proc. of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning [Code]
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang
in Proc. of The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
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: ICLR’22, AAAI’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