Yuxuan Liang
Research Fellow @ National Univerisity of Singapore

Dr. Yuxuan Liang is a Research Fellow at School of Computing, National University of Singapore (NUS), working with Prof. Roger Zimmermann. He is working on the research, development, and innovation of spatio-temporal data mining and AI, with a broad range of applications in smart cities. Prior to that, he obtained his PhD degree in NUS. He published 40+ papers in refereed journals and conferences, such as TKDE, KDD, NeurIPS, ICLR, WWW, ECCV, IJCAI, AAAI, MM and UbiComp. According to Google Scholar, his publications collectively gathered 1,800+ citations, with h-index of 20 and i10-index of 27. Among them, three papers (GeoMAN, ST-MetaNet and STMTMVL) were selected as the most influential IJCAI/KDD papers according to PaperDigest, which indicates their significant impacts on both industry and academia. He also served as a PC member (reviewer) for some top-tier conferences, including KDD, ICML, ICLR, NeurIPS, WWW, CVPR, ECCV, IJCAI and AAAI.
He was recognized as 1 out of 10 most innovative and impactful PhD students focusing on Data Science in Singapore by Singapore Data Science Consortium (SDSC) in 2020. His research interests mainly lie in
- Spatio-temporal (ST) data mining: ST representation learning, time series forecasting, ST imputation, AI for social good (e.g., transportation, human mobility, environment, climate), physics-informed learning.
- Graph mining: learning graph representations (e.g., directed graphs, temporal graphs), GNN pruning.
- Computer vision: video understanding, image recognition, image/video super-resolution, geo-localization.
News
2023/01/25 | I successfully passed my PhD defense :-) Thanks Roger and David for their continuous support at NUS! |
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2023/01/21 | One paper about GNN pruning was accepted by ICLR’23. |
2023/01/13 | I will attend AAAI’23 at Washington DC in person. Hope to meet you at the conference! |
2022/11/20 | One paper about large-scale air quality prediction via Transformer was accepted as oral presentation by AAAI’23. |
2022/11/03 | One paper about learning mixed-order relationships in ST graphs was accepted by TKDE. |
2022/10/15 | I will attend CIKM’22, ECCV’22 and SIGSPATIAL’22 in person. Hope to meet you at the conferences! |
2022/08/23 | Two paper about periodic/contrastive learning for ST data were accepted as oral papers by SIGSPATIAL’22. |
2022/08/03 | One paper entitled Efficient Trajectory Classification using Transformer was accepted by CIKM’22. |
2022/07/29 | I was honored to receive the Dean’s Graduate Award from NUS. Thanks Roger for the nomination and supports! |
2022/07/04 | One paper about efficient video transformer was accepted by ECCV’22. |
2022/07/01 | One paper about geo-orientation was accepted by ACM MM’22. |
2022/05/20 | One paper about sequential recommendation was accepted by KDD’22. |
2022/04/15 | I was awarded The 23rd China Patent Excellence Award. |
2022/03/01 | Three papers were accepted by NAACL’22, IEEE Access and IJCNN’22. |
2022/02/24 | ST-MetaNet was selected as Most Influential KDD Papers. |
2022/02/24 | Two spatio-temporal AI papers (GeoMAN and stMTMVL) were selected as Most Influential IJCAI Papers. |
Working experience
2022/11 - Present | Research Fellow @ National University of Singapore, Singapore |
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2021/07 - 2021/12 | Research intern @ Sea AI Lab (SAIL), Singapore |
2018/11 - 2019/04 | Full-time research assistant @ National University of Singapore, Singapore |
2018/01 - 2018/09 | Algorithm engineer intern @ JD.COM, Beijing, China |
2017/01 - 2018/01 | Research intern @ Microsoft Research, Beijing, China |
2015/12 - 2016/09 | Research intern @ Microsoft Research, Beijing, China |
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Selected publications [See more]
* denotes corresponding author and + indicates equal contribution.
- ICLR’23[New] Searching Lottery Tickets in Graph Neural Networks: A Dual PerspectiveIn The International Conference on Learning Representations, 2023
- WWW’21
- KDD’19Urbanfm: Inferring Fine-Grained Urban FlowsIn Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, 2019
- IJCAI’18GeoMAN: Multi-Level Attention Networks for Geo-sensory Time Series Prediction.In International Joint Conference on Artificial Intelligence, 2018
- KDD’19Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta LearningIn Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, 2019
- IJCAI’16Urban Water Quality Prediction based on Multi-Task Multi-View LearningIn Proceedings of the 25th international joint conference on artificial intelligence, 2016
- NeurIPS’20Digraph Inception Convolutional NetworksAdvances in neural information processing systems 2020
Services
Conference program commitee member & Reviewer
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KDD’23, ICML’23, ICLR’23, CVPR’23, WWW’23, IJCAI’23, AAAI’23, ICASSP’23
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KDD’22, NeurIPS’22, ICML’22, ICLR’22, ECCV’22, IJCAI’22, AAAI’22, SDM’22
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KDD’21, NeurIPS’21, ICML’21, ICLR’21, AAAI’21
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NeurIPS’20, AAAI’20, ECML-PKDD’20, SPATIALDI’20
Journal reviewer:
Data mining: TKDE, TMC, IMWUT, TIST
Artificial intelligence: TNNLS, TASLP, Neurocomputing, TMLR
Interdiscipline: T-ITS, Transportation Research Part C, Sensor Journal
Awards
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Dean's Graduate Award, NUS, 2022.
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The 23rd China Patent Excellence Award, 2022.
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SDSC Dissertation Research Fellowship, 2020 (1 out of 10 most innovative and impactful PhD students focusing on Data Science in Singapore by the Singapore Data Science Consortium.)
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Outstanding Winners of The Interdisciplinary Contest in Modeling, 2015
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CCF(China Computer Federation) Elite Collegiate Award
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The star of graduates in Xidian University (10 out of 4917)
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ACM/ICPC Shaanxi province silver medal
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Research Scholarship at NUS: 2019-2023
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National Scholarship (four times): 2015, 2016, 2017 and 2018
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National Scholarship for Encouragement: 2014
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Attending DiDi Elite Forum 2021
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Conference travel grants for SIGSPATIAL'22, CIKM'22, AAAI'20, KDD'19, SIGSPATIAL'17