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 Tech., Head of JD Intelligent Cities ResearchVerified email at jd.com
Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Yiwei WangUCLAVerified email at g.ucla.edu
David S. RosenblumGeorge Mason UniversityVerified email at alumni.stanford.edu
Qingsong Wen (文青松)Head of AI Research & Chief Scientist @ Squirrel AIVerified email at gatech.edu
Kun OuyangNational University of SingaporeVerified email at comp.nus.edu.sg
Kun WangUniversity of Science and Technology of China (USTC)Verified email at mail.ustc.edu.cn
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
Yutong XiaInstitute of Data Science, National University of SingaporeVerified email at u.nus.edu
Sijie RuanAssistant Professor, Beijing Institute of TechnologyVerified email at bit.edu.cn
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
Ming JinPh.D. Candidate, Monash UniversityVerified email at monash.edu
Zhengyang ZhouUniversity of Science and Technology of ChinaVerified email at mail.ustc.edu.cn
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
Haomin WenBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Junfeng HuNational University of SingaporeVerified email at u.nus.edu
Ruiyuan Li (李瑞远)Chongqing UniversityVerified email at cqu.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 Graph Learning LLM


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	507	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	467	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	184	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	163	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	138	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	132	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	117	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	111	2020
Directed graph convolutional network Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim arXiv preprint arXiv:2004.13970, 2020	93	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	81	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	74	2023
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	72	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	68	2021
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	65	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	59	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, 2023	58	2023
When do contrastive learning signals help spatio-temporal graph forecasting? X Liu, Y Liang, C Huang, Y Zheng, B Hooi, R Zimmermann Proceedings of the 30th International Conference on Advances in Geographic …, 2022	51*	2022
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	51	2022
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	50	2021

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