Publications
Listed by categories in reversed chronological order, where + indicates equal contribution and * denotes the corresponding author.
2024
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang*
InfoFusion 2024
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji hao and others
TKDE 2024
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
Kun Wang, Hao Wu, Guibin Zhang, Junfeng Fang, Yuxuan Liang*, Yuankai Wu, Roger Zimmermann, Yang Wang*
TKDE 2024
Self-supervised learning for time series analysis: Taxonomy, progress, and prospects
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, and Shirui Pan
TPAMI 2024
Semantic-fused multi-granularity cross-city traffic prediction
Kehua Chen, Yuxuan Liang, Jindong Han, Siyuan Feng, Meixin Zhu, and Hai Yang
TRC 2024
On regularization for explaining graph neural networks: An information theory perspective
Junfeng Fan, Guibin Zhang, Kun Wang, Wenjie Du, Yifan Duan, Yuankai W, Roger Zimmermann, Xiaowen Chu, Yuxuan Liang
TKDE 2024 PDF
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
Siru Zhong, Yuxuan Liang, Yibo Yan, Ying Zhang, Yangqiu Song, Yuxuan Liang
ACM MM 2024 PDF
Foundation models for time series analysis: A tutorial and survey
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen*
KDD 2024 PDF
Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
ECML-PKDD 2024
The Heterophily Snowflake Hypothesis: Training and Empowering GNN for Heterophilic Graphs
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang*, Yang Wang*
KDD 2024
Controltraj: Controllable trajectory generation with topology-constrained diffusion model
Yuanshao Zhu, James Jianqiao Yu*, Xiangyu Zhao*, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang*
KDD 2024 PDF
Cluster-Wide Task Slowdown Detection
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
KDD 2024
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive field
Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang*, Yang Wang*
KDD 2024 PDF
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang*, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen*
ICML 2024 PDF
LaDe: The first comprehensive last-mile delivery dataset from industry
Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zhen, Junhong Lou, Yuxuan Liang*, Liuqing Yang, others
KDD 2024 PDF
Two heads are better than one: Boosting graph sparse training via semantic and topological awareness
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
ICML 2024 PDF
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
ICML 2024 PDF
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang*
IJCAI 2024 PDF
Spatio-Temporal Field Neural Networks for Air Quality Inference
Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang*
IJCAI 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou, Sijie Ruan, and Yuxuan Liang*
IJCAI 2024 PDF
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Anomaly Detection
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
ICDE 2024
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang*
WWW 2024 PDF
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang*, Bryan Hooi, Roger Zimmermann
WWW 2024 PDF
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song
WWW 2024
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, Yu Zheng, Yuxuan Liang*, Yang Wang*
ICLR 2024 PDF
Graph Lottery Ticket Automated
Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang*
ICLR 2024 PDF
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
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
ICLR 2024 PDF
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang
AAAI 2024
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu*
AAAI 2024
SENCR: A Span Enhanced Two-stage Network with Counterfactual Rethinking for Chinese NER
Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu*
AAAI 2024
Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning
Shuliang Wang, Song Tang, Sijie Ruan*, Cheng Long, Yuxuan Liang, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng
ICDE 2024
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
Chengxin Wang, Yuxuan Liang, Gary Tan
WSDM 2024
Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data
Guorui Liao, Jiawei Liu, Yuxuan Liang, Shu Wang, Li Liu*
ICASSP 2024
2023
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets
TPAMI 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
TKDE 2023 PDF
Predicting collective human mobility via countering spatiotemporal heterogeneity
TMC 2023
Decoupling Long-and Short-Term Patterns in Spatiotemporal Inference
Junfeng Hu, Yuxuan Liang*, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann
TNNLS 2023 PDF
AutoSTG+: An Automatic Framework to Discover The Optimal Network for Spatio-temporal Graph Prediction
AI 2023 PDF
End-to-end Delay Modeling via Leveraging Competitive Interaction among Network Flows
TNSM 2023
2022
2021
Visual Cascade Analytics of Large-Scale Spatiotemporal Data
TVCG 2021 PDF
2020
Federated Forest
TBD 2020 PDF