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ORCIDYuxuan Liang 0002
Person information
- affiliation: Hong Kong University of Science and Technology (Guangzhou), China
- affiliation (PhD 2022): National University of Singapore, Singapore
Other persons with the same name
- Yuxuan Liang — disambiguation page
- Yuxuan Liang 0001
![[0000-0001-8707-152X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8707-152X")
— ShanghaiTech University, Shanghai, China (and 1 more) - Yuxuan Liang 0003 — Harbin Engineering University, Harbin, Heilongjiang, China
- Yuxuan Liang 0004 — Fudan University, Shanghai, China
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2020 – today
- 2026
[j26]Yongqi Pan, Cheng Zhu, Lailong Luo, Hanlin Tan, Mingrui Lao, Yuxuan Liang:
OTKD: A general knowledge distillation pipeline for object tracking. Expert Syst. Appl. 301: 130547 (2026)- 2025
- [j25]Xiaoyue Luo, Shifen Cheng, Lizeng Wang, Yuxuan Liang, Feng Lu:
A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation. Int. J. Geogr. Inf. Sci. 39(4): 788-816 (2025) - [j24]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook. Inf. Fusion 113: 102606 (2025) - [j23]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yu Zheng, Yang Wang:
ComS2T: A Complementary Spatiotemporal Learning System for Data-Adaptive Model Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8506-8523 (2025) - [j22]Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu:
Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. IEEE Trans. Intell. Transp. Syst. 26(2): 2543-2557 (2025) - [j21]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng:
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 26(2): 2777-2792 (2025) - [j20]Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang:
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 26(11): 21296-21308 (2025) - [c108]Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen:
Unlocking the Power of LSTM for Long Term Time Series Forecasting. AAAI 2025: 11968-11976 - [c107]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. AAAI 2025: 12192-12200 - [c106]Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang:
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks. AAAI 2025: 13348-13356 - [c105]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. AAAI 2025: 18693-18701 - [c104]Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications. AAAI 2025: 21635-21643 - [c103]Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang:
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction. AAAI 2025: 28061-28069 - [c102]Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang:
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. AAAI 2025: 28467-28475 - [c101]Hao Miao, Yan Zhao, Yuxuan Liang, Bin Yang, Kai Zheng, Christian S. Jensen:
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models. CIKM 2025: 6920-6922 - [c100]Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Chao Chen, Yuxuan Liang:
Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs. SIGSPATIAL/GIS 2025: 244-256 - [c99]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-Free Heterogeneous Graph Condensation via Data Selection. ICDE 2025: 1718-1731 - [c98]Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng:
AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction. ICDE 2025: 3655-3667 - [c97]Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen:
Data Driven Decision Making with Time Series and Spatio-Temporal Data. ICDE 2025: 4517-4522 - [c96]Wei Chen, Yuxuan Liang:
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting. ICLR 2025 - [c95]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. ICLR 2025 - [c94]Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan:
Towards Neural Scaling Laws for Time Series Foundation Models. ICLR 2025 - [c93]Tiancong Cheng, Ying Zhang, Yuxuan Liang, Roger Zimmermann, Zhiwen Yu, Bin Guo:
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation. ICME 2025: 1-6 - [c92]Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. ICML 2025 - [c91]Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang:
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. ICML 2025 - [c90]Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang:
Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers. IJCAI 2025: 10017-10025 - [c89]Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen:
Deep Learning for Multivariate Time Series Imputation: A Survey. IJCAI 2025: 10696-10704 - [c88]Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng:
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. KDD (1) 2025: 307-317 - [c87]Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. KDD (1) 2025: 2682-2692 - [c86]Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang:
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. KDD (2) 2025: 4214-4225 - [c85]Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang:
Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework. KDD (2) 2025: 4226-4237 - [c84]Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong:
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) 2025: 6063-6073 - [c83]Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson:
The 14th International Workshop on Urban Computing. KDD (2) 2025: 6284-6285 - [c82]Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka:
The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. KDD (2) 2025: 6292-6293 - [c81]Yongzheng Liu, Siru Zhong, Gefeng Luo, Weilin Ruan, Yuxuan Liang:
Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data. ACM Multimedia 2025: 2188-2196 - [c80]Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Multimodal Learning for Spatio-Temporal Data Mining. ACM Multimedia 2025: 14338-14339 - [c79]Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang:
ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting. ECML/PKDD (7) 2025: 345-361 - [c78]Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang:
Time Series Analysis in the Web: Recent Advances and Future Trends. WWW (Companion Volume) 2025: 29-32 - [c77]Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen:
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era. WWW (Companion Volume) 2025: 81-84 - [c76]Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen:
The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. WWW (Companion Volume) 2025: 2203-2206 - [c75]Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng:
The International Workshop on Spatio-Temporal Data Mining from the Web. WWW (Companion Volume) 2025: 2327-2330 - [c74]Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang:
Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web. WWW 2025: 2799-2812 - [i126]Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang:
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks. CoRR abs/2501.13141 (2025) - [i125]Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen:
Position: Empowering Time Series Reasoning with Multimodal LLMs. CoRR abs/2502.01477 (2025) - [i124]Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang:
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. CoRR abs/2502.04395 (2025) - [i123]Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang:
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models. CoRR abs/2502.14887 (2025) - [i122]Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen:
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management. CoRR abs/2503.04392 (2025) - [i121]Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen:
Data Driven Decision Making with Time Series and Spatio-temporal Data. CoRR abs/2503.08473 (2025) - [i120]Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu:
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. CoRR abs/2503.11411 (2025) - [i119]Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong:
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR abs/2503.13502 (2025) - [i118]Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao:
Reimagining Urban Science: Scaling Causal Inference with Large Language Models. CoRR abs/2504.12345 (2025) - [i117]Xixuan Hao, Yutian Jiang, Xingchen Zou, Jiabo Liu, Yifang Yin, Yuxuan Liang:
Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era. CoRR abs/2505.09651 (2025) - [i116]Tiancong Cheng, Ying Zhang, Yuxuan Liang, Roger Zimmermann, Zhiwen Yu, Bin Guo:
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation. CoRR abs/2505.10057 (2025) - [i115]Ziyu Zhou, Jiaxi Hu, Qingsong Wen, James T. Kwok, Yuxuan Liang:
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting. CoRR abs/2505.11781 (2025) - [i114]Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang:
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. CoRR abs/2505.17437 (2025) - [i113]Yu Wang, Junshu Dai, Yuchen Ying, Yuxuan Liang, Tongya Zheng, Mingli Song:
Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction. CoRR abs/2505.19965 (2025) - [i112]Wei Chen, Yuxuan Liang:
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting. CoRR abs/2506.00635 (2025) - [i111]Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng:
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review. CoRR abs/2506.01364 (2025) - [i110]Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun:
Comba: Improving Bilinear RNNs with Closed-loop Control. CoRR abs/2506.02475 (2025) - [i109]Wei Li, Yunyao Cheng, Xinli Hao, Chaohong Ma, Yuxuan Liang, Bin Yang, Christian S. Jensen, Xiaofeng Meng:
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs. CoRR abs/2506.11512 (2025) - [i108]Ling Li, Yao Zhou, Yuxuan Liang, Fugee Tsung, Jiaheng Wei:
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models. CoRR abs/2506.14674 (2025) - [i107]Tianxiang Zhan, Ming Jin, Yuanpeng He, Yuxuan Liang, Yong Deng, Shirui Pan:
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting. CoRR abs/2506.14790 (2025) - [i106]Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang:
Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers. CoRR abs/2506.16764 (2025) - [i105]Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang:
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. CoRR abs/2508.01727 (2025) - [i104]Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James T. Kwok, Yuxuan Liang:
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting. CoRR abs/2508.01971 (2025) - [i103]Xingchen Zou, Yuhao Yang, Zheng Chen, Xixuan Hao, Yiqi Chen, Chao Huang, Yuxuan Liang:
Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems. CoRR abs/2508.02344 (2025) - [i102]Yutong Xia, Yingying Zhang, Yuxuan Liang, Lunting Fan, Qingsong Wen, Roger Zimmermann:
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series. CoRR abs/2508.04630 (2025) - [i101]Wenlihan Lu, Shijian Gao, Miaowen Wen, Yuxuan Liang, Liuqing Yang, Chan-Byoung Chae, H. Vincent Poor:
Bayesian-Driven Graph Reasoning for Active Radio Map Construction. CoRR abs/2508.09142 (2025) - [i100]Songyu Ke, Chenyu Wu, Yuxuan Liang, Xiuwen Yi, Yanping Sun, Junbo Zhang, Yu Zheng:
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values. CoRR abs/2508.14083 (2025) - [i99]Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang:
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction. CoRR abs/2508.16623 (2025) - [i98]Wei Chen, Yuqian Wu, Yuanshao Zhu, Xixuan Hao, Shiyu Wang, Yuxuan Liang:
Select, then Balance: A Plug-and-Play Framework for Exogenous-Aware Spatio-Temporal Forecasting. CoRR abs/2509.05779 (2025) - [i97]Yutong Xia, Chang Xu, Yuxuan Liang, Qingsong Wen, Roger Zimmermann, Jiang Bian:
Causal Time Series Generation via Diffusion Models. CoRR abs/2509.20846 (2025) - [i96]Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang:
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. CoRR abs/2510.07858 (2025) - [i95]Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang:
Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence. CoRR abs/2510.16555 (2025) - [i94]Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang:
AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing. CoRR abs/2510.19661 (2025) - [i93]Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan:
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models. CoRR abs/2510.20084 (2025) - [i92]Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang:
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation. CoRR abs/2510.26184 (2025) - [i91]Yutong Feng, Xu Liu, Yutong Xia, Yuxuan Liang:
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation. CoRR abs/2511.05595 (2025) - [i90]Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Guangliang Liu, Yuxuan Liang, Xiaomeng Huang:
NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics. CoRR abs/2512.11525 (2025) - 2024
- [j19]Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang:
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3388-3405 (2024) - [j18]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j17]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts. IEEE Trans. Knowl. Data Eng. 36(8): 4050-4062 (2024) - [j16]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5388-5408 (2024) - [j15]Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Trans. Knowl. Data Eng. 36(12): 7516-7535 (2024) - [j14]Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang:
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity. IEEE Trans. Mob. Comput. 23(5): 4723-4738 (2024) - [j13]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann:
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16328-16340 (2024) - [j12]Weiping Zheng, Minli Hong, Ruihao Ye, Xiaomao Fan, Yuxuan Liang, Gansen Zhao, Roger Zimmermann:
End-to-End Delay Modeling via Leveraging Competitive Interaction Among Network Flows. IEEE Trans. Netw. Serv. Manag. 21(2): 1634-1647 (2024) - [j11]Ying Zhang, Zhiwen Yu, Minling Dang, En Xu, Bin Guo, Yuxuan Liang, Yifang Yin, Roger Zimmermann:
Predictability in Human Mobility: From Individual to Collective (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 12 (2024) - [c73]Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang:
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. AAAI 2024: 15906-15914 - [c72]Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu:
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER. AAAI 2024: 19679-19687 - [c71]Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann:
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. SIGSPATIAL/GIS 2024: 135-146 - [c70]Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu:
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data. ICASSP 2024: 1701-1705 - [c69]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE 2024: 747-760 - [c68]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE 2024: 2779-2791 - [c67]Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning. ICDE 2024: 4167-4179 - [c66]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c65]Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang:
Graph Lottery Ticket Automated. ICLR 2024 - [c64]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c63]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c62]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. ICML 2024 - [c61]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. IJCAI 2024: 2243-2251 - [c60]Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang:
Spatio-Temporal Field Neural Networks for Air Quality Inference. IJCAI 2024: 7260-7268 - [c59]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. IJCAI 2024: 7554-7562 - [c58]Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng:
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference. IJCNN 2024: 1-8 - [c57]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. KDD 2024: 266-277 - [c56]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c55]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [c54]Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang:
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. KDD 2024: 4676-4687 - [c53]Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan:
LaDe: The First Comprehensive Last-mile Express Dataset from Industry. KDD 2024: 5991-6002 - [c52]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c51]Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 13th International Workshop on Urban Computing. KDD 2024: 6727-6728 - [c50]Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang:
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation. ACM Multimedia 2024: 6307-6315 - [c49]Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang:
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth. NeurIPS 2024 - [c48]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang:
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. NeurIPS 2024 - [c47]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. NeurIPS 2024 - [c46]Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang:
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. NeurIPS 2024 - [c45]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) 2024: 21-38 - [c44]Chengxin Wang, Yuxuan Liang, Gary Tan:
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting. WSDM 2024: 702-711 - [c43]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. WWW 2024: 3509-3520 - [c42]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW 2024: 4006-4017 - [c41]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW 2024: 4095-4106 - [i89]Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR abs/2401.09953 (2024) - [i88]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i87]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i86]Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen:
Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR abs/2402.04059 (2024) - [i85]Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You:
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. CoRR abs/2402.05011 (2024) - [i84]Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang:
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts. CoRR abs/2402.05970 (2024) - [i83]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang:
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR abs/2402.11463 (2024) - [i82]Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin:
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. CoRR abs/2402.17334 (2024) - [i81]Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang:
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR abs/2402.19348 (2024) - [i80]Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang:
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution. CoRR abs/2403.01738 (2024) - [i79]Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. CoRR abs/2403.01801 (2024) - [i78]Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang:
Spatio-Temporal Field Neural Networks for Air Quality Inference. CoRR abs/2403.02354 (2024) - [i77]Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR abs/2403.02914 (2024) - [i76]Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan:
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. CoRR abs/2403.09733 (2024) - [i75]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng:
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i74]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i73]Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang:
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction. CoRR abs/2403.16831 (2024) - [i72]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. CoRR abs/2404.03702 (2024) - [i71]Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang:
Low-rank Adaptation for Spatio-Temporal Forecasting. CoRR abs/2404.07919 (2024) - [i70]Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang:
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning. CoRR abs/2404.14073 (2024) - [i69]Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang:
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation. CoRR abs/2404.14241 (2024) - [i68]Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang:
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. CoRR abs/2404.15380 (2024) - [i67]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen:
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i66]Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang:
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR abs/2405.07892 (2024) - [i65]Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang:
Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR abs/2405.14135 (2024) - [i64]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR abs/2405.14252 (2024) - [i63]Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang:
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR abs/2405.16312 (2024) - [i62]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR abs/2405.18910 (2024) - [i61]Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang:
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR abs/2406.03710 (2024) - [i60]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i59]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - [i58]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials. CoRR abs/2406.13409 (2024) - [i57]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. CoRR abs/2408.04236 (2024) - [i56]Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen:
Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR abs/2408.10006 (2024) - [i55]Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang:
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting. CoRR abs/2408.10822 (2024) - [i54]Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR abs/2410.01677 (2024) - [i53]Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang:
Toward Physics-guided Time Series Embedding. CoRR abs/2410.06651 (2024) - [i52]Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR abs/2410.10469 (2024) - [i51]Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan:
Towards Neural Scaling Laws for Time Series Foundation Models. CoRR abs/2410.12360 (2024) - [i50]Wei Chen, Yuxuan Liang:
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting. CoRR abs/2410.12593 (2024) - [i49]Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang:
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. CoRR abs/2410.13761 (2024) - [i48]Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang:
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems. CoRR abs/2410.19892 (2024) - [i47]Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, Yuxuan Liang:
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces. CoRR abs/2411.03859 (2024) - [i46]Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang:
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting. CoRR abs/2411.09251 (2024) - [i45]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng:
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. CoRR abs/2411.14046 (2024) - [i44]Youfang Lin, Jinji Fu, Haomin Wen, Jiyuan Wang, Zhenjie Wei, Yuting Qiang, Xiaowei Mao, Lixia Wu, Haoyuan Hu, Yuxuan Liang, Huaiyu Wan:
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. CoRR abs/2412.05437 (2024) - [i43]Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng:
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. CoRR abs/2412.09972 (2024) - [i42]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR abs/2412.14602 (2024) - [i41]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-free Heterogeneous Graph Condensation via Data Selection. CoRR abs/2412.16250 (2024) - [i40]Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang:
GraphAgent: Agentic Graph Language Assistant. CoRR abs/2412.17029 (2024) - 2023
- [j10]Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng:
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction. Artif. Intell. 318: 103899 (2023) - [j9]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting. IEEE Trans. Knowl. Data Eng. 35(9): 9254-9268 (2023) - [c40]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [c39]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023: 414-423 - [c38]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. EMNLP 2023: 108-115 - [c37]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS 2023: 60:1-60:12 - [c36]Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang:
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective. ICLR 2023 - [c35]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann:
Graph Neural Processes for Spatio-Temporal Extrapolation. KDD 2023: 752-763 - [c34]Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang:
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning. KDD 2023: 3603-3614 - [c33]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search. ACM Multimedia 2023: 56-66 - [c32]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS 2023 - [c31]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. NeurIPS 2023 - [i39]Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann:
Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR abs/2301.12603 (2023) - [i38]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. CoRR abs/2301.13629 (2023) - [i37]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. CoRR abs/2303.14483 (2023) - [i36]Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen:
How Fragile is Relation Extraction under Entity Replacements? CoRR abs/2305.13551 (2023) - [i35]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann:
Graph Neural Processes for Spatio-Temporal Extrapolation. CoRR abs/2305.18719 (2023) - [i34]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i33]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i32]Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan:
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. CoRR abs/2306.10675 (2023) - [i31]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. CoRR abs/2307.03398 (2023) - [i30]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR abs/2308.10051 (2023) - [i29]Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR abs/2309.01194 (2023) - [i28]Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann:
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment. CoRR abs/2309.13378 (2023) - [i27]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i26]Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR abs/2310.09751 (2023) - [i25]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i24]Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi:
Primacy Effect of ChatGPT. CoRR abs/2310.13206 (2023) - [i23]Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann:
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning. CoRR abs/2310.17360 (2023) - [i22]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
When Urban Region Profiling Meets Large Language Models. CoRR abs/2310.18340 (2023) - [i21]Xinglin Li, Kun Wang, Hanhui Deng, Yuxuan Liang, Di Wu:
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training. CoRR abs/2311.15772 (2023) - [i20]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR abs/2311.16191 (2023) - [i19]Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu:
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR abs/2312.01699 (2023) - [i18]Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang:
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. CoRR abs/2312.08403 (2023) - 2022
- [j8]Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, Jihie Kim:
Content-Attribute Disentanglement for Generalized Zero-Shot Learning. IEEE Access 10: 58320-58331 (2022) - [j7]Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach. IEEE Trans. Big Data 8(2): 564-578 (2022) - [j6]Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng:
Federated Forest. IEEE Trans. Big Data 8(3): 843-854 (2022) - [j5]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [j4]Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng:
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2348-2359 (2022) - [j3]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. IEEE Trans. Knowl. Data Eng. 34(6): 2755-2770 (2022) - [j2]Zikun Deng, Di Weng, Yuxuan Liang, Jie Bao, Yu Zheng, Tobias Schreck, Mingliang Xu, Yingcai Wu:
Visual Cascade Analytics of Large-Scale Spatiotemporal Data. IEEE Trans. Vis. Comput. Graph. 28(6): 2486-2499 (2022) - [c30]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
TrajFormer: Efficient Trajectory Classification with Transformers. CIKM 2022: 1229-1237 - [c29]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. ECCV (34) 2022: 577-595 - [c28]Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS 2022: 5:1-5:12 - [c27]Chengxin Wang, Yuxuan Liang, Gary Tan:
Periodic residual learning for crowd flow forecasting. SIGSPATIAL/GIS 2022: 13:1-13:10 - [c26]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling on Temporal Graphs. IJCNN 2022: 1-8 - [c25]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD 2022: 2263-2274 - [c24]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM Multimedia 2022: 6155-6164 - [c23]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. NAACL-HLT (Findings) 2022: 1698-1708 - [c22]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [i17]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i16]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi:
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. CoRR abs/2205.03786 (2022) - [i15]Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li:
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR abs/2207.05584 (2022) - [i14]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - 2021
- [c21]Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann:
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI 2021: 1498-1504 - [c20]Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images. ACM Multimedia 2021: 899-907 - [c19]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi:
Adaptive Data Augmentation on Temporal Graphs. NeurIPS 2021: 1440-1452 - [c18]Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang:
Directed Graph Contrastive Learning. NeurIPS 2021: 19580-19593 - [c17]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. WWW 2021: 1238-1248 - [c16]Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Fine-Grained Urban Flow Prediction. WWW 2021: 1833-1845 - [c15]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855 - [c14]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. WWW 2021: 3663-3674 - [i13]Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann:
Spatio-Temporal Graph Contrastive Learning. CoRR abs/2108.11873 (2021) - [i12]Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann:
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference. CoRR abs/2109.09506 (2021) - [i11]Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi:
Structure-Aware Label Smoothing for Graph Neural Networks. CoRR abs/2112.00499 (2021) - [i10]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. CoRR abs/2112.04674 (2021) - [i9]Chengxin Wang, Yuxuan Liang, Gary Tan:
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting. CoRR abs/2112.06132 (2021) - [i8]Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi:
Time-Aware Neighbor Sampling for Temporal Graph Networks. CoRR abs/2112.09845 (2021) - 2020
- [j1]Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng:
Dynamic Public Resource Allocation Based on Human Mobility Prediction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 25:1-25:22 (2020) - [c13]Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng:
Learning to Generate Maps from Trajectories. AAAI 2020: 890-897 - [c12]Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang:
Unsupervised Learning of Disentangled Location Embeddings. IJCNN 2020: 1-8 - [c11]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi:
NodeAug: Semi-Supervised Node Classification with Data Augmentation. KDD 2020: 207-217 - [c10]Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng:
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction. KDD 2020: 794-802 - [c9]Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim:
Digraph Inception Convolutional Networks. NeurIPS 2020 - [c8]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Progressive Supervision for Node Classification. ECML/PKDD (1) 2020: 266-281 - [c7]Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics. ECML/PKDD (1) 2020: 578-594 - [i7]Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum:
Fine-Grained Urban Flow Inference. CoRR abs/2002.02318 (2020) - [i6]Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum:
Revisiting Convolutional Neural Networks for Urban Flow Analytics. CoRR abs/2003.00895 (2020) - [i5]Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim:
Directed Graph Convolutional Network. CoRR abs/2004.13970 (2020) - [i4]Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
GraphCrop: Subgraph Cropping for Graph Classification. CoRR abs/2009.10564 (2020)
2010 – 2019
- 2019
- [c6]Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum:
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking. IJCAI 2019: 3835-3841 - [c5]Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang:
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. KDD 2019: 1720-1730 - [c4]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. KDD 2019: 3132-3142 - [i3]Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng:
UrbanFM: Inferring Fine-Grained Urban Flows. CoRR abs/1902.05377 (2019) - 2018
- [c3]Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng:
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. IJCAI 2018: 3428-3434 - [i2]Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng:
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting. CoRR abs/1809.10889 (2018) - 2017
- [c2]Yuxuan Liang, Zhongyuan Jiang, Yu Zheng:
Inferring Traffic Cascading Patterns. SIGSPATIAL/GIS 2017: 2:1-2:10 - 2016
- [c1]Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum:
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning. IJCAI 2016: 2576-2581 - [i1]Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng:
Predicting Urban Water Quality with Ubiquitous Data. CoRR abs/1610.09462 (2016)
Coauthor Index
[c108] [c103] [c91] [c89] [c87] [c84] [c82] [c80] [c76] [c75] [i125] [i124] [i122] [i120] [i119] [i115] [i110] [i105] [i102] [i97] [i95] [i93] [j18] [c69] [c66] [c64] [c59] [c57] [c52] [c48] [c47] [c42] [i87] [i86] [i83] [i75] [i74] [i73] [i67] [i64] [i63] [i62] [i61] [i59] [i57] [i56] [i54] [i53] [c40] [c37] [i33] [i27] [i25] [i22] [i20] [i14]
[c104] [c93] [c92] [c80] [c75] [i118] [i116] [i102] [i97] [j19] [j17] [j15] [j13] [j12] [j11] [c71] [c65] [c59] [c53] [c45] [c42] [c41] [i89] [i84] [i62] [i58] [i52] [j9] [c40] [c37] [c35] [c33] [c32] [c31] [i39] [i38] [i35] [i34] [i32] [i31] [i29] [i28] [i26] [i23] [i22] [j8] [c30] [c29] [c28] [c24] [i14] [c21] [c20] [c16] [i13] [i12] [i10]
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