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Publications

Listed by categories in reversed chronological order, where + indicates equal contribution and * denotes the corresponding author.
 

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
 
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
Kun Wang, Yuxuan Liang*, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, huahui Yi, Yudong Zhang, Yang Wang*
TPAMI 2023 
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang*, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
TKDE 2023 PDF
Predicting collective human mobility via countering spatiotemporal heterogeneity
Zhengyang Zhou, Kuo Yang, Yuxuan Liang, Binwu Wang, Hongyang Chen, Yang Wang
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
Songyu Ke, Zheyi Pan, Tianfu He, Yuxuan Liang, Junbo Zhang, Yu Zheng
AI 2023 PDF
End-to-end Delay Modeling via Leveraging Competitive Interaction among Network Flows
Weiping Zheng, Minli Hong, Ruihao Ye, Xiaomao Fan, Yuxuan Liang, Gansen Zhao, Roger Zimmermann
TNSM 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
Yutong Xia, Yuxuan Liang*, Haomin Wen, Xu Liu, Kun Wang, Zhengyang Zhou, Roger Zimmermann
NeurlPS 2023 PDF
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (DB Track)
Xu Liu, Yutong Xia, Yuxuan Liang*, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenquang Liu, Brvan Hooi, Roger Zimmermann
NeurlPS 2023 PDF CODE
Graph Neural Processes for Spatio-Temporal Extrapolation
Junfeng Hu, Yuxuan Liang*, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
KDD 2023 PDF
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang
KDD 2023 PDF
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin
ICDE 2023 PDF
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
Kun Wang, Yuxuan Liang*, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang*
ICLR 2023 PDF
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
AAAI 2023 PDF CODE
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Xianjing Han, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
MM 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, and Yuxuan Liang*
SIGSPATIAL 2023 PDF
Primacy Effect of ChatGPT
Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi
EMNLP 2023 PDF

2022

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Zheyi Pan, Yifang Yin, Hongyang Chen, Junbo Zhang, Yu Zheng, David S Rosenblum, Roger Zimmermann
TKDE 2022 PDF
Content-Attribute Disentanglement for Generalized Zero-Shot Learning
Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim, Jihie Kim
Access 2022 PDF
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
Xu Liu+, Yuxuan Liang+, Chao Huang, Yu Zheng, Bryan Hooi, and Roger Zimmermann
SIGSPATIAL 2022 PDF CODE
Dualformer: Local-global stratified transformer for efficient video recognition
Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
ECCV 2022 PDF CODE 
TrajFormer: Efficient Trajectory Classification with Transformers
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Xu Liu, Hongyang Chen, Junbo Zhang, Yu Zheng, Roger Zimmermann
CIKM 2022 PDF
Periodic Residual Learning for Crowd Flow Forecasting
Chengxin Wang, Yuxuan Liang, Gary Tan
SIGSPATIAL 2022 PDF
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
KDD 2022 PDF
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery
Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann
MM 2022 PDF
Time-Aware Neighbor Sampling on Temporal Graphs
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi
IJCNN 2022 PDF
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
NAACL 2022 PDF

2021

Visual Cascade Analytics of Large-Scale Spatiotemporal Data
Zikun Deng, Di Weng, Yuxuan Liang, Jie Bao, Yu Zheng, Tobias Schreck, Mingliang Xu, Yingcai Wu
TVCG 2021 PDF
Modeling Trajectories with Neural Ordinary Differential Equations
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
IJCAI 2021 PDF
Fine-grained Urban Flow Prediction
Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David Rosenblum, Roger Zimmermann
WWW 2021 PDF
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng
WWW 2021 PDF CODE
Mixup for Node and Graph Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
WWW 2021 PDF CODE
Curgraph: Curriculum learning for graph classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
WWW 2021 PDF
Directed Graph Contrastive Learning
Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang
NeurIPS 2021 PDF CODE
Adaptive Data Augmentation on Temporal Graphs
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
NeurIPS 2021 PDF
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images
Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann
MM 2021 PDF

2020

Fine-grained Urban Flow Inference
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, David Rosenblum, Yu Zheng
TKDE 2020 PDF CODE
Predicting Citywide Crowd Flows in Irregular Regions using Multi-View Graph Convolutional Networks
Junkai Sun, Junbo Zhang, Qiaofei Li, Xiuwen Yi, Yuxuan Liang, Yu Zheng
TKDE 2020 PDF
Spatio-Temporal Meta Learning for Urban Traffic Prediction
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng
TKDE 2020 PDF CODE
Predicting Urban Water Quality with Ubiquitous Data – a Data-Driven Approach
Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David Rosenblum, Yu Zheng
TBD 2020 PDF CODE
Federated Forest
Yang Liu, Yingting Liu, Zhijie Liu, Yuxuan Liang, Chuishi Meng, Junbo Zhang, Yu Zheng
TBD 2020 PDF
Nodeaug: Semi-Supervised Node Classification with Data Augmentation
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Juncheng Liu, Bryan Hooi
KDD 2020 PDF
Digraph Inception Convolutional Networks
Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David Rosenblum, Andrew Lim
NeurIPS 2020 PDF
Revisiting convolutional neural networks for citywide crowd flow analytics
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S Rosenblum
ECML-PKDD 2020 PDF CODE
Autost: Efficient Neural Architecture Search for Spatio-Temporal Prediction
Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng
KDD 2020 PDF
Dynamic Public Resource Allocation based on Human Mobility Prediction
Sijie Ruan, Jie Bao, Yuxuan Liang, Ruiyuan Li, Tianfu He, Chuishi Meng, Yanhua Li, Yingcai Wu, Yu Zheng
UBICOMP 2020 PDF CODE
Learning to Generate Maps from Trajectories
Sijie Ruan, Cheng Long, Jie Bao, Chunyang Li, Zisheng Yu, Ruiyuan Li, Yuxuan Liang, Tianfu He, Yu Zheng
AAAI 2020 PDF CODE
Progressive Supervision for Node Classification
Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi
ECML-PKDD 2020 PDF
Unsupervised Learning of Disentangled Location Embeddings
Kun Ouyang, Yuxuan Liang, Ye Liu, David S Rosenblum, Wenzhuo Yang
IJCNN 2020 PDF

Before 2020

Urban Traffic Prediction from Spatio-Temporal Data using Deep Meta Learning
Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang
KDD 2019 PDF CODE
Urbanfm: Inferring Fine-Grained Urban Flows
Yuxuan Liang+, Kun Ouyang+, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S Rosenblum, Yu Zheng
KDD 2019 PDF CODE
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S Rosenblum
IJCAI 19 PDF
GeoMAN: Multi-Level Attention Networks for Geo-sensory Time Series Prediction.
Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
IJCAI 2018 PDF CODE
Inferring Traffic Cascading Patterns
Yuxuan Liang, Zhongyuan Jiang, Yu Zheng
SIGSPATIAL 2017 PDF
Urban Water Quality Prediction based on Multi-Task Multi-View Learning
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S Rosenblum
IJCAI 2016 PDF CODE