Yuxuan Liang

289 papers A* 85A 4B 4Misc 1Journal 169Unranked 26
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction.
AAAI
Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang
2026 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
ACM Comput. Surv.
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026 A* conf
AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing.
WWW
Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
2026 J jnl
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting.
CoRR
Zhiqing Cui, Siru Zhong, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2026 J jnl
DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting.
CoRR
Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang
2026 A* conf
Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective.
WWW
Yuchen Fang, Shiyu Wang, Yuxuan Liang, Zhou Ye, Yang Xiang, Yan Zhao, Kai Zheng
2026 A* conf
Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web.
WWW
Xixuan Hao, Guicheng Li, Daiqiang Wu, Xusen Guo, Yumeng Zhu, Zhichao Zou, Peng Zhen, Yao Yao, Yuxuan Liang
2026 J jnl
Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web.
CoRR
Xixuan Hao, Guicheng Li, Daiqiang Wu, Xusen Guo, Yumeng Zhu, Zhichao Zou, Peng Zhen, Yao Yao, Yuxuan Liang
2026 — conf
FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts.
KDD (1)
Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026 J jnl
FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts.
CoRR
Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026 J jnl
Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System.
CoRR
Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang
2026 — conf
How to Train Your Mamba for Time Series Forecasting.
KDD (1)
Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, Yuxuan Liang
2026 J jnl
Learning generalizable visual representations with causal diffusion model for controllable editing.
Pattern Recognit.
Shanshan Huang, Lei Wang, Haoxuan Chen, Yuxuan Liang, Li Liu
2026 J jnl
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models.
CoRR
Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang
2026 J jnl
NuwaDynamics+: A Causality-Aware Generative Framework for Spatio-Temporal Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Wang, Yifan Duan, Hao Wu, Jian Zhao, Kai Wang, Zhengyang Zhou, Yuxuan Liang, Xu Wang, Yang Wang, Yu Zheng, Xuelong Li
2026 J jnl
OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning.
CoRR
Hao Wu, Yongheng Zhang, Yuan Gao, Fan Xu, Fan Zhang, Ruobing Xie, Ruijian Gou, Yuxuan Liang, Xiaomeng Huang, Xian Wu
2026 J jnl
OTKD: A general knowledge distillation pipeline for object tracking.
Expert Syst. Appl.
Yongqi Pan, Cheng Zhu, Lailong Luo, Hanlin Tan, Mingrui Lao, Yuxuan Liang
2026 A* conf
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.
AAAI
Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2026 J jnl
Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models.
CoRR
Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang
2026 A* conf
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting.
AAAI
Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang
2026 J jnl
SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting.
CoRR
Ziyu Zhou, Yuchen Fang, Weilin Ruan, Shiyu Wang, James Kwok, Yuxuan Liang
2026 J jnl
SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting.
CoRR
Ziyu Zhou, Tian Zhou, Shiyu Wang, James Kwok, Yuxuan Liang
2026 J jnl
Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases.
CoRR
Zhao Tan, Yiji Zhao, Shiyu Wang, Chang Xu, Yuxuan Liang, Xiping Liu, Shirui Pan, Ming Jin
2026 J jnl
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models.
CoRR
Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang
2026 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
IEEE Trans. Knowl. Data Eng.
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
2026 J jnl
Visual Reasoning over Time Series via Multi-Agent System.
CoRR
Weilin Ruan, Yuxuan Liang
2025 J jnl
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation.
CoRR
Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang
2025 J jnl
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction.
CoRR
Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang
2025 J jnl
A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation.
Int. J. Geogr. Inf. Sci.
Xiaoyue Luo, Shifen Cheng, Lizeng Wang, Yuxuan Liang, Feng Lu
2025 A* conf
AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction.
ICDE
Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng
2025 J jnl
Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction.
CoRR
Yu Wang, Junshu Dai, Yuchen Ying, Yuxuan Liang, Tongya Zheng, Mingli Song
2025 J jnl
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management.
CoRR
Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen
2025 J jnl
AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing.
CoRR
Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
2025 A* conf
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems.
ICLR
Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2025 A* conf
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
AAAI
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.
CoRR
Qiongyan Wang, Yutong Xia, Siru Zhong, Weichuang Li, Yuankai Wu, Shifen Cheng, Junbo Zhang, Yu Zheng, Yuxuan Liang
2025 J jnl
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models.
CoRR
Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang
2025 J jnl
Bayesian-Driven Graph Reasoning for Active Radio Map Construction.
CoRR
Wenlihan Lu, Shijian Gao, Miaowen Wen, Yuxuan Liang, Liuqing Yang, Chan-Byoung Chae, H. Vincent Poor
2025 J jnl
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series.
CoRR
Yutong Xia, Yingying Zhang, Yuxuan Liang, Lunting Fan, Qingsong Wen, Roger Zimmermann
2025 J jnl
Causal Time Series Generation via Diffusion Models.
CoRR
Yutong Xia, Chang Xu, Yuxuan Liang, Qingsong Wen, Roger Zimmermann, Jiang Bian
2025 J jnl
ComS2T: A Complementary Spatiotemporal Learning System for Data-Adaptive Model Evolution.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yu Zheng, Yang Wang
2025 J jnl
Comba: Improving Bilinear RNNs with Closed-loop Control.
CoRR
Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
2025 J jnl
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting.
CoRR
Tianxiang Zhan, Ming Jin, Yuanpeng He, Yuxuan Liang, Yong Deng, Shirui Pan
2025 J jnl
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst.
Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang
2025 A* conf
Data Driven Decision Making with Time Series and Spatio-Temporal Data.
ICDE
Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen
2025 J jnl
Data Driven Decision Making with Time Series and Spatio-temporal Data.
CoRR
Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen
2025 A* conf
Deep Learning for Multivariate Time Series Imputation: A Survey.
IJCAI
Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2025 J jnl
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.
Inf. Fusion
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2025 — conf
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.
KDD (1)
Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang
2025 — conf
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
KDD (1)
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2025 J jnl
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models.
CoRR
Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu
2025 A* conf
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting.
ICLR
Wei Chen, Yuxuan Liang
2025 — conf
Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework.
KDD (2)
Xingchen Zou, Weilin Ruan, Siru Zhong, Yuehong Hu, Yuxuan Liang
2025 J jnl
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation.
CoRR
Yutong Feng, Xu Liu, Yutong Xia, Yuxuan Liang
2025 — conf
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.
KDD (2)
Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025 J jnl
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.
CoRR
Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025 J jnl
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values.
CoRR
Songyu Ke, Chenyu Wu, Yuxuan Liang, Xiuwen Yi, Yanping Sun, Junbo Zhang, Yu Zheng
2025 A* conf
GraphAgent: Agentic Graph Language Assistant.
EMNLP
Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2025 A conf
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation.
ICME
Tiancong Cheng, Ying Zhang, Yuxuan Liang, Roger Zimmermann, Zhiwen Yu, Bin Guo
2025 J jnl
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation.
CoRR
Tiancong Cheng, Ying Zhang, Yuxuan Liang, Roger Zimmermann, Zhiwen Yu, Bin Guo
2025 — conf
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
KDD (2)
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 J jnl
Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang
2025 J jnl
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting.
CoRR
Wei Chen, Yuxuan Liang
2025 A* conf
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.
ICML
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2025 J jnl
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting.
CoRR
Ziyu Zhou, Jiaxi Hu, Qingsong Wen, James T. Kwok, Yuxuan Liang
2025 A* conf
Multimodal Learning for Spatio-Temporal Data Mining.
ACM Multimedia
Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2025 A* conf
Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web.
WWW
Xixuan Hao, Wei Chen, Xingchen Zou, Yuxuan Liang
2025 J jnl
NeuralOGCM: Differentiable Ocean Modeling with Learnable Physics.
CoRR
Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Guangliang Liu, Yuxuan Liang, Xiaomeng Huang
2025 J jnl
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.
CoRR
Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2025 A* conf
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach.
AAAI
Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue
2025 J jnl
Position: Empowering Time Series Reasoning with Multimodal LLMs.
CoRR
Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen
2025 J jnl
Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs.
CoRR
Wei Li, Yunyao Cheng, Xinli Hao, Chaohong Ma, Yuxuan Liang, Bin Yang, Christian S. Jensen, Xiaofeng Meng
2025 J jnl
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst.
Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng
2025 J jnl
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models.
CoRR
Ling Li, Yao Zhou, Yuxuan Liang, Fugee Tsung, Jiaheng Wei
2025 J jnl
Reimagining Urban Science: Scaling Causal Inference with Large Language Models.
CoRR
Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao
2025 A* conf
Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers.
IJCAI
Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang
2025 J jnl
Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers.
CoRR
Yanchen Zhu, Honghui Zou, Chufan Liu, Yuyu Luo, Yuankai Wu, Yuxuan Liang
2025 J jnl
Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach.
IEEE Trans. Intell. Transp. Syst.
Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2025 J jnl
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting.
CoRR
Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James T. Kwok, Yuxuan Liang
2025 — conf
ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting.
ECML/PKDD (7)
Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang
2025 J jnl
Select, then Balance: A Plug-and-Play Framework for Exogenous-Aware Spatio-Temporal Forecasting.
CoRR
Wei Chen, Yuqian Wu, Yuanshao Zhu, Xixuan Hao, Shiyu Wang, Yuxuan Liang
2025 J jnl
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models.
CoRR
Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
2025 — conf
Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs.
SIGSPATIAL/GIS
Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Chao Chen, Yuxuan Liang
2025 A* conf
Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts.
ICDM
Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan
2025 — conf
The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs.
KDD (2)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025 — conf
The 14th International Workshop on Urban Computing.
KDD (2)
Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson
2025 A conf
The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models.
CIKM
Hao Miao, Yan Zhao, Yuxuan Liang, Bin Yang, Kai Zheng, Christian S. Jensen
2025 — conf
The International Workshop on Spatio-Temporal Data Mining from the Web.
WWW (Companion Volume)
Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng
2025 — conf
The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications.
WWW (Companion Volume)
Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025 A* conf
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.
AAAI
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2025 — conf
Time Series Analysis in the Web: Recent Advances and Future Trends.
WWW (Companion Volume)
Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang
2025 A* conf
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.
ICML
Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025 J jnl
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.
CoRR
Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025 A* conf
Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data.
ACM Multimedia
Yongzheng Liu, Siru Zhong, Gefeng Luo, Weilin Ruan, Yuxuan Liang
2025 A* conf
Towards Neural Scaling Laws for Time Series Foundation Models.
ICLR
Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2025 A* conf
Towards Scalable and Deep Graph Neural Networks via Noise Masking.
AAAI
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui
2025 J jnl
Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems.
CoRR
Xingchen Zou, Yuhao Yang, Zheng Chen, Xixuan Hao, Yiqi Chen, Chao Huang, Yuxuan Liang
2025 A* conf
Training-Free Heterogeneous Graph Condensation via Data Selection.
ICDE
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2025 A* conf
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks.
AAAI
Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang
2025 J jnl
Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era.
CoRR
Xixuan Hao, Yutian Jiang, Xingchen Zou, Jiabo Liu, Yifang Yin, Yuxuan Liang
2025 A* conf
Unlocking the Power of LSTM for Long Term Time Series Forecasting.
AAAI
Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2025 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
CoRR
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
2025 J jnl
Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence.
CoRR
Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang
2025 A* conf
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.
AAAI
Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
2025 J jnl
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.
CoRR
Weilin Ruan, Siru Zhong, Haomin Wen, Yuxuan Liang
2025 — conf
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.
WWW (Companion Volume)
Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen
2024 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
CoRR
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
2024 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng.
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
2024 J jnl
Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.
CoRR
Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2024 J jnl
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.
CoRR
Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang
2024 A* conf
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective.
NeurIPS
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024 J jnl
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective.
CoRR
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024 J jnl
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.
CoRR
Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin
2024 J jnl
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.
IEEE Trans. Pattern Anal. Mach. Intell.
Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang
2024 A* conf
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.
WWW
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
2024 J jnl
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.
CoRR
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
2024 A conf
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting.
WSDM
Chengxin Wang, Yuxuan Liang, Gary Tan
2024 A* conf
Cluster-Wide Task Slowdown Detection in Cloud System.
KDD
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024 J jnl
Cluster-Wide Task Slowdown Detection in Cloud System.
CoRR
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024 J jnl
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.
CoRR
Zhengyang Zhou, Qihe Huang, Binwu Wang, Jianpeng Hou, Kuo Yang, Yuxuan Liang, Yang Wang
2024 A* conf
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
KDD
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
CoRR
Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024 J jnl
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting.
CoRR
Weilin Ruan, Wenzhuo Wang, Siru Zhong, Wei Chen, Li Liu, Yuxuan Liang
2024 J jnl
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.
CoRR
Youfang Lin, Jinji Fu, Haomin Wen, Jiyuan Wang, Zhenjie Wei, Yuting Qiang, Xiaowei Mao, Lixia Wu, Haoyuan Hu, Yuxuan Liang, Huaiyu Wan
2024 J jnl
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.
IEEE Trans. Neural Networks Learn. Syst.
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann
2024 J jnl
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.
CoRR
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2024 J jnl
Deep Learning for Multivariate Time Series Imputation: A Survey.
CoRR
Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2024 J jnl
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.
CoRR
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
2024 J jnl
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.
CoRR
Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang
2024 A* conf
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.
AAAI
Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang
2024 J jnl
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
CoRR
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2024 J jnl
End-to-End Delay Modeling via Leveraging Competitive Interaction Among Network Flows.
IEEE Trans. Netw. Serv. Manag.
Weiping Zheng, Minli Hong, Ruihao Ye, Xiaomao Fan, Yuxuan Liang, Gansen Zhao, Roger Zimmermann
2024 J jnl
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting.
CoRR
Wei Chen, Yuxuan Liang
2024 Misc conf
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data.
ICASSP
Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu
2024 A* conf
Foundation Models for Time Series Analysis: A Tutorial and Survey.
KDD
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024 J jnl
Foundation Models for Time Series Analysis: A Tutorial and Survey.
CoRR
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024 A* conf
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
NeurIPS
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 J jnl
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
CoRR
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 B conf
GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.
IJCNN
Songyu Ke, Yuxuan Liang, Xiuwen Yi, Junbo Zhang, Yu Zheng
2024 A* conf
Graph Lottery Ticket Automated.
ICLR
Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
2024 J jnl
GraphAgent: Agentic Graph Language Assistant.
CoRR
Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2024 A* conf
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.
ICDE
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui
2024 A* conf
Improving Generalization of Dynamic Graph Learning via Environment Prompt.
NeurIPS
Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang
2024 A* conf
LaDe: The First Comprehensive Last-mile Express Dataset from Industry.
KDD
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
2024 J jnl
Learning Geospatial Region Embedding with Heterogeneous Graph.
CoRR
Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang
2024 A* conf
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.
ICDE
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024 J jnl
Low-rank Adaptation for Spatio-Temporal Forecasting.
CoRR
Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang
2024 J jnl
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia.
CoRR
Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen
2024 J jnl
Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts.
IEEE Trans. Knowl. Data Eng.
Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang
2024 J jnl
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts.
CoRR
Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang, Yuankai Wu, Roger Zimmermann, Yang Wang
2024 J jnl
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.
CoRR
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo
2024 A* conf
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.
ICML
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024 J jnl
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.
CoRR
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
2024 J jnl
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting.
CoRR
Jianxiang Zhou, Erdong Liu, Wei Chen, Siru Zhong, Yuxuan Liang
2024 A* conf
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling.
ICLR
Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang, Yang Wang
2024 J jnl
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.
CoRR
Haomin Wen, Zhenjie Wei, Yan Lin, Jiyuan Wang, Yuxuan Liang, Huaiyu Wan
2024 J jnl
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach.
CoRR
Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu
2024 J jnl
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials.
CoRR
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2024 J jnl
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis.
CoRR
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024 A* conf
Position: What Can Large Language Models Tell Us about Time Series Analysis.
ICML
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024 J jnl
Predictability in Human Mobility: From Individual to Collective (Vision Paper).
ACM Trans. Spatial Algorithms Syst.
Ying Zhang, Zhiwen Yu, Minling Dang, En Xu, Bin Guo, Yuxuan Liang, Yifang Yin, Roger Zimmermann
2024 A* conf
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.
IJCAI
Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024 J jnl
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.
IEEE Trans. Mob. Comput.
Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang
2024 J jnl
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.
CoRR
Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024 J jnl
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.
CoRR
Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng
2024 — conf
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.
ECML/PKDD (3)
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2024 A* conf
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER.
AAAI
Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu
2024 J jnl
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
IEEE Trans. Pattern Anal. Mach. Intell.
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024 A* conf
Spatio-Temporal Field Neural Networks for Air Quality Inference.
IJCAI
Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang
2024 J jnl
Spatio-Temporal Field Neural Networks for Air Quality Inference.
CoRR
Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Kun Wang, Shifen Cheng, Yuxuan Liang
2024 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng.
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng
2024 J jnl
TSI-Bench: Benchmarking Time Series Imputation.
CoRR
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
2024 A* conf
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth.
NeurIPS
Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang
2024 A* conf
The 13th International Workshop on Urban Computing.
KDD
Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2024 A* conf
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.
KDD
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
2024 J jnl
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.
CoRR
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
2024 A* conf
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.
KDD
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2024 J jnl
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
2024 A* conf
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.
NeurIPS
Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024 J jnl
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.
CoRR
Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024 A* conf
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
ICLR
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
2024 J jnl
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting.
CoRR
Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang
2024 J jnl
Toward Physics-guided Time Series Embedding.
CoRR
Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang
2024 J jnl
Towards Neural Scaling Laws for Time Series Foundation Models.
CoRR
Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2024 A* conf
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.
IJCAI
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024 J jnl
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.
CoRR
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, Yuxuan Liang
2024 J jnl
Towards Scalable and Deep Graph Neural Networks via Noise Masking.
CoRR
Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui
2024 — conf
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.
SIGSPATIAL/GIS
Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
2024 J jnl
Training-free Heterogeneous Graph Condensation via Data Selection.
CoRR
Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui
2024 J jnl
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting.
CoRR
Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang
2024 A* conf
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
ICML
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024 J jnl
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
CoRR
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024 A* conf
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.
WWW
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2024 J jnl
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces.
CoRR
Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xuetao Wei, Yuxuan Liang
2024 J jnl
Unlocking the Power of LSTM for Long Term Time Series Forecasting.
CoRR
Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2024 A* conf
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.
ICDE
Shuliang Wang, Song Tang, Sijie Ruan, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
2024 A* conf
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.
WWW
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024 A* conf
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation.
ACM Multimedia
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang
2024 J jnl
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation.
CoRR
Siru Zhong, Xixuan Hao, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang
2024 J jnl
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.
CoRR
Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
2023 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR
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
2023 A* conf
AirFormer: Predicting Nationwide Air Quality in China with Transformers.
AAAI
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2023 J jnl
Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training.
CoRR
Xinglin Li, Kun Wang, Hanhui Deng, Yuxuan Liang, Di Wu
2023 J jnl
AutoSTG
Artif. Intell.
Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng
2023 J jnl
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials.
CoRR
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2023 A* conf
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.
NeurIPS
Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023 J jnl
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.
CoRR
Yutong Xia, Yuxuan Liang, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
2023 — conf
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
SIGSPATIAL/GIS
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2023 J jnl
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
CoRR
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang
2023 J jnl
Do We Really Need Graph Neural Networks for Traffic Forecasting?
CoRR
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2023 J jnl
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.
CoRR
Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang
2023 A* conf
Graph Neural Processes for Spatio-Temporal Extrapolation.
KDD
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
2023 J jnl
Graph Neural Processes for Spatio-Temporal Extrapolation.
CoRR
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
2023 B conf
How Fragile is Relation Extraction under Entity Replacements?
CoNLL
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023 J jnl
How Fragile is Relation Extraction under Entity Replacements?
CoRR
Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen
2023 J jnl
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.
CoRR
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
2023 J jnl
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.
CoRR
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
2023 A* conf
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.
NeurIPS
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023 J jnl
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.
CoRR
Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023 J jnl
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.
CoRR
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2023 A* conf
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.
KDD
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang
2023 J jnl
Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.
IEEE Trans. Knowl. Data Eng.
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
2023 A* conf
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search.
ACM Multimedia
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2023 A* conf
Primacy Effect of ChatGPT.
EMNLP
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
2023 J jnl
Primacy Effect of ChatGPT.
CoRR
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
2023 J jnl
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.
CoRR
Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2023 A* conf
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective.
ICLR
Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang
2023 J jnl
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
2023 J jnl
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.
CoRR
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang
2023 J jnl
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
CoRR
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
2023 J jnl
Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.
CoRR
Junfeng Hu, Xu Liu, Zhencheng Fan, Yuxuan Liang, Roger Zimmermann
2023 J jnl
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.
CoRR
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
2023 J jnl
When Urban Region Profiling Meets Large Language Models.
CoRR
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2022 J jnl
AirFormer: Predicting Nationwide Air Quality in China with Transformers.
CoRR
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2022 A* conf
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery.
ACM Multimedia
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
2022 J jnl
Content-Attribute Disentanglement for Generalized Zero-Shot Learning.
IEEE Access
Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, Jihie Kim
2022 — conf
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.
ECCV (34)
Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
2022 J jnl
Federated Forest.
IEEE Trans. Big Data
Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng
2022 J jnl
Fine-Grained Urban Flow Inference.
IEEE Trans. Knowl. Data Eng.
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
2022 J jnl
GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction.
CoRR
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi
2022 — conf
GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.
NAACL-HLT (Findings)
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi
2022 A* conf
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
KDD
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022 J jnl
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
CoRR
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022 — conf
Periodic residual learning for crowd flow forecasting.
SIGSPATIAL/GIS
Chengxin Wang, Yuxuan Liang, Gary Tan
2022 J jnl
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng
2022 J jnl
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.
IEEE Trans. Big Data
Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng
2022 — conf
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.
NAACL-HLT
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022 J jnl
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.
CoRR
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
2022 J jnl
Spatio-Temporal Meta Learning for Urban Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng
2022 B conf
Time-Aware Neighbor Sampling on Temporal Graphs.
IJCNN
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
2022 A conf
TrajFormer: Efficient Trajectory Classification with Transformers.
CIKM
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2022 J jnl
Visual Cascade Analytics of Large-Scale Spatiotemporal Data.
IEEE Trans. Vis. Comput. Graph.
Zikun Deng, Di Weng, Yuxuan Liang, Jie Bao, Yu Zheng, Tobias Schreck, Mingliang Xu, Yingcai Wu
2022 — conf
When do contrastive learning signals help spatio-temporal graph forecasting?
SIGSPATIAL/GIS
Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann
2021 A* conf
Adaptive Data Augmentation on Temporal Graphs.
NeurIPS
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
2021 A* conf
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.
WWW
Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng
2021 A* conf
CurGraph: Curriculum Learning for Graph Classification.
WWW
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2021 J jnl
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.
CoRR
Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Yifang Yin, Ying Zhang, Roger Zimmermann
2021 A* conf
Directed Graph Contrastive Learning.
NeurIPS
Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang
2021 J jnl
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.
CoRR
Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
2021 A* conf
Fine-Grained Urban Flow Prediction.
WWW
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann
2021 A* conf
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images.
ACM Multimedia
Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann
2021 A* conf
Mixup for Node and Graph Classification.
WWW
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2021 A* conf
Modeling Trajectories with Neural Ordinary Differential Equations.
IJCAI
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
2021 J jnl
PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting.
CoRR
Chengxin Wang, Yuxuan Liang, Gary Tan
2021 J jnl
Spatio-Temporal Graph Contrastive Learning.
CoRR
Xu Liu, Yuxuan Liang, Yu Zheng, Bryan Hooi, Roger Zimmermann
2021 J jnl
Structure-Aware Label Smoothing for Graph Neural Networks.
CoRR
Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi
2021 J jnl
Time-Aware Neighbor Sampling for Temporal Graph Networks.
CoRR
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
2020 A* conf
AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.
KDD
Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng
2020 A* conf
Digraph Inception Convolutional Networks.
NeurIPS
Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David S. Rosenblum, Andrew Lim
2020 J jnl
Directed Graph Convolutional Network.
CoRR
Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim
2020 J jnl
Dynamic Public Resource Allocation Based on Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng
2020 J jnl
Fine-Grained Urban Flow Inference.
CoRR
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
2020 J jnl
GraphCrop: Subgraph Cropping for Graph Classification.
CoRR
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2020 A* conf
Learning to Generate Maps from Trajectories.
AAAI
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng
2020 A* conf
NodeAug: Semi-Supervised Node Classification with Data Augmentation.
KDD
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
2020 — conf
Progressive Supervision for Node Classification.
ECML/PKDD (1)
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
2020 — conf
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
ECML/PKDD (1)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
2020 J jnl
Revisiting Convolutional Neural Networks for Urban Flow Analytics.
CoRR
Yuxuan Liang, Kun Ouyang, Junbo Zhang, Yu Zheng, David S. Rosenblum
2020 B conf
Unsupervised Learning of Disentangled Location Embeddings.
IJCNN
Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang
2019 A* conf
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.
IJCAI
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum
2019 A* conf
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning.
KDD
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang
2019 A* conf
UrbanFM: Inferring Fine-Grained Urban Flows.
KDD
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2019 J jnl
UrbanFM: Inferring Fine-Grained Urban Flows.
CoRR
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2018 A* conf
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.
IJCAI
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
2018 J jnl
HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.
CoRR
Zheyi Pan, Yuxuan Liang, Junbo Zhang, Xiuwen Yi, Yong Yu, Yu Zheng
2017 — conf
Inferring Traffic Cascading Patterns.
SIGSPATIAL/GIS
Yuxuan Liang, Zhongyuan Jiang, Yu Zheng
2016 J jnl
Predicting Urban Water Quality with Ubiquitous Data.
CoRR
Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng
2016 A* conf
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.
IJCAI
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum