Yuxuan Liang

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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 Digits, Head of JD Intelligent Cities ResearchVerified email at jd.com
Yiwei WangUCLAVerified email at g.ucla.edu
David S. RosenblumGeorge Mason UniversityVerified email at alumni.stanford.edu
Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Kun OuyangNational University of SingaporeVerified email at comp.nus.edu.sg
Songyu KeShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Zekun TongNational University of SingaporeVerified email at u.nus.edu
Sijie RuanBeijing Institute of TechnologyVerified email at bit.edu.cn
Qingsong Wen (文青松)Head of AI Research & Chief Scientist @ Squirrel AIVerified email at gatech.edu
Xu LiuNational University of SingaporeVerified email at u.nus.edu
Yutong XiaNational University of SingaporeVerified email at u.nus.edu
Ruiyuan Li (李瑞远)Chongqing UniversityVerified email at cqu.edu.cn
Kun WangUniversity of Science and Technology of China (USTC)Verified email at mail.ustc.edu.cn
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
Guangyin JinLaboratory of Complexity and Frontier Science, NIIDTVerified email at nudt.edu.cn
Shirui PanFull Professor, ARC Future Fellow, FQA, Griffith UniversityVerified email at griffith.edu.au
Junfeng HuNational University of SingaporeVerified email at u.nus.edu
Zhengyang ZhouUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Haomin WenBeijing Jiaotong UniversityVerified email at bjtu.edu.cn

Yuxuan Liang

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

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

Spatio-Temporal Data Mining Urban Computing Time Series Graph Mining Intelligent Transportation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	471	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	403	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	225	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	149	2020
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	147	2020
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	112	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	108	2021
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	104	2019
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	100	2020
Directed graph convolutional network Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim arXiv preprint arXiv:2004.13970, 2020	76	2020
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	74	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	64	2020
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	60	2021
Predicting urban water quality with ubiquitous data Y Liu, Y Liang, S Liu, DS Rosenblum, Y Zheng arXiv preprint arXiv:1610.09462, 2016	54*	2016
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	51	2020
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	47	2021
Inferring traffic cascading patterns Y Liang, Z Jiang, Y Zheng Proceedings of the 25th acm sigspatial international conference on advances …, 2017	47	2017
Directed graph contrastive learning Z Tong, Y Liang, H Ding, Y Dai, X Li, C Wang Advances in neural information processing systems 34, 19580-19593, 2021	39	2021
Curgraph: Curriculum learning for graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 1238-1248, 2021	39	2021
Fine-grained urban flow inference K Ouyang, Y Liang, Y Liu, Z Tong, S Ruan, Y Zheng, DS Rosenblum IEEE transactions on knowledge and data engineering 34 (6), 2755-2770, 2020	39	2020

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