Yuxuan Liang

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Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Junbo Zhang（张钧波）JD Intelligent Cities Research | JD TechnologyVerified email at jd.com
Yu Zheng (郑宇)Vice President of JD.COM, Chief Data Scientist of JD Tech., Head of JD Intelligent Cities ResearchVerified email at jd.com
Qingsong Wen (文青松)Head of AI & Chief Scientist @ Squirrel AIVerified email at gatech.edu
Yiwei WangUCLAVerified email at g.ucla.edu
David S. RosenblumGeorge Mason UniversityVerified email at alumni.stanford.edu
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
Kun WangPh.D. candidate @ USTC| Data Science @ NUS @Squirrel AI @ NTUVerified email at mail.ustc.edu.cn
Kun OuyangNational University of SingaporeVerified email at comp.nus.edu.sg
Ming JinAssistant Professor, School of ICT, Griffith UniversityVerified email at griffith.edu.au
Yutong XiaInstitute of Data Science, National University of SingaporeVerified email at u.nus.edu
Songyu KeShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Xu LiuNational University of SingaporeVerified email at u.nus.edu
Zekun TongNational University of SingaporeVerified email at u.nus.edu
Sijie RuanAssistant Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
Wei ChenPh.D. Student @ Hong Kong University of Science and Technology, GuangzhouVerified email at connect.hkust-gz.edu.cn
Junfeng HuNational University of SingaporeVerified email at u.nus.edu
Yifang YinInstitute for Infocomm Research (I2R), A*STAR, SingaporeVerified email at i2r.a-star.edu.sg
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
Zhengyang ZhouUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn

Yuxuan Liang

Assistant Professor, Hong Kong University of Science and Technology (Guangzhou)

Verified email at hkust-gz.edu.cn - Homepage

Spatio-Temporal Data Mining Urban Computing Time Series AI Multimodal


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Geoman: Multi-level attention networks for geo-sensory time series prediction. Y Liang, S Ke, J Zhang, X Yi, Y Zheng IJCAI 2018, 3428-3434, 2018	555	2018
Urban traffic prediction from spatio-temporal data using deep meta learning Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	547	2019
Urban water quality prediction based on multi-task multi-view learning Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum Proceedings of the 25th international joint conference on artificial …, 2016	232	2016
Predicting citywide crowd flows in irregular regions using multi-view graph convolutional networks J Sun, J Zhang, Q Li, X Yi, Y Liang, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (5), 2348-2359, 2020	213	2020
Time-llm: Time series forecasting by reprogramming large language models M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ... ICLR 2024, 2023	212	2023
Federated forest Y Liu, Y Liu, Z Liu, Y Liang, C Meng, J Zhang, Y Zheng IEEE Transactions on Big Data 8 (3), 843-854, 2020	194	2020
Mixup for node and graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 3663-3674, 2021	172	2021
Nodeaug: Semi-supervised node classification with data augmentation Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	146	2020
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering, 2023	143	2023
Spatio-temporal meta learning for urban traffic prediction Z Pan, W Zhang, Y Liang, W Zhang, Y Yu, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering 34 (3), 1462-1476, 2020	133	2020
Urbanfm: Inferring fine-grained urban flows Y Liang, K Ouyang, L Jing, S Ruan, Y Liu, J Zhang, DS Rosenblum, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	127	2019
Directed graph convolutional network Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim arXiv preprint arXiv:2004.13970, 2020	110	2020
Multi-behavior hypergraph-enhanced transformer for sequential recommendation Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022	88	2022
Autost: Efficient neural architecture search for spatio-temporal prediction T Li, J Zhang, K Bao, Y Liang, Y Li, Y Zheng Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	88	2020
Digraph inception convolutional networks Z Tong, Y Liang, C Sun, X Li, D Rosenblum, A Lim Advances in neural information processing systems 33, 17907-17918, 2020	86	2020
Self-supervised learning for time series analysis: Taxonomy, progress, and prospects K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024	78	2024
Fine-grained urban flow prediction Y Liang, K Ouyang, J Sun, Y Wang, J Zhang, Y Zheng, D Rosenblum, ... Proceedings of the Web Conference 2021, 1833-1845, 2021	78	2021
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱ Z Pan, S Ke, X Yang, Y Liang, Y Yu, J Zhang, Y Zheng Proceedings of the Web Conference 2021, 1846-1855, 2021	78	2021
Learning to generate maps from trajectories S Ruan, C Long, J Bao, C Li, Z Yu, R Li, Y Liang, T He, Y Zheng Proceedings of the AAAI conference on artificial intelligence 34 (01), 890-897, 2020	75	2020
Airformer: Predicting nationwide air quality in china with transformers Y Liang, Y Xia, S Ke, Y Wang, Q Wen, J Zhang, Y Zheng, R Zimmermann Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14329 …, 2023	74	2023

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