Yuxuan Liang

Orcid: 0000-0003-2817-7337

According to our database¹, Yuxuan Liang authored at least 218 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2026

Instruction-guided fusion of multi-layer visual features in Large Vision-Language Models.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

2025

ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification.

[BibT_eX]

[DOI]

CoRR, August, 2025

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values.

[BibT_eX]

[DOI]

CoRR, August, 2025

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series.

[BibT_eX]

[DOI]

CoRR, August, 2025

Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems.

[BibT_eX]

[DOI]

CoRR, August, 2025

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, August, 2025

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, August, 2025

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

CoRR, June, 2025

Reinforcement learning for hybrid charging stations planning and operation considering fixed and mobile chargers.

[BibT_eX]

[DOI]

CoRR, June, 2025

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, June, 2025

Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

Comba: Improving Bilinear RNNs with Closed-loop Control.

[BibT_eX]

[DOI]

CoRR, June, 2025

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.

[BibT_eX]

[DOI]

CoRR, June, 2025

Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Wei Chen

Yuxuan Liang

CoRR, June, 2025

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction.

[BibT_eX]

[DOI]

CoRR, May, 2025

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision.

[BibT_eX]

[DOI]

CoRR, May, 2025

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, May, 2025

JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era.

[BibT_eX]

[DOI]

CoRR, May, 2025

A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., April, 2025

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network.

[BibT_eX]

[DOI]

CoRR, April, 2025

Reimagining Urban Science: Scaling Causal Inference with Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms.

[BibT_eX]

[DOI]

CoRR, March, 2025

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management.

[BibT_eX]

[DOI]

CoRR, March, 2025

REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2025

Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2025

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

Position: Empowering Time Series Reasoning with Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, February, 2025

GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, January, 2025

Global Semantic-Guided Sub-image Feature Weight Allocation in High-Resolution Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

A novel radar target detection algorithm via enhanced geometric distance matrix for CFAR detector.

[BibT_eX]

[DOI]

Digit. Signal Process., 2025

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

The International Workshop on Spatio-Temporal Data Mining from the Web.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Time Series Analysis in the Web: Recent Advances and Future Trends.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Towards Neural Scaling Laws for Time Series Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting.

[BibT_eX]

[DOI]

Wei Chen

Yuxuan Liang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Driven Decision Making with Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Training-Free Heterogeneous Graph Condensation via Data Selection.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Towards Scalable and Deep Graph Neural Networks via Noise Masking.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Unlocking the Power of LSTM for Long Term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Flipover outperforms dropout in deep learning.

[BibT_eX]

[DOI]

Vis. Comput. Ind. Biomed. Art, December, 2024

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Predictability in Human Mobility: From Individual to Collective (Vision Paper).

[BibT_eX]

[DOI]

ACM Trans. Spatial Algorithms Syst., June, 2024

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

End-to-End Delay Modeling via Leveraging Competitive Interaction Among Network Flows.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., April, 2024

Modeling Spatio-Temporal Dynamical Systems With Neural Discrete Learning and Levels-of-Experts.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2024

GraphAgent: Agentic Graph Language Assistant.

[BibT_eX]

[DOI]

CoRR, 2024

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services.

[BibT_eX]

[DOI]

CoRR, 2024

Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces.

[BibT_eX]

[DOI]

CoRR, 2024

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.

[BibT_eX]

[DOI]

CoRR, 2024

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.

[BibT_eX]

[DOI]

CoRR, 2024

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2024

Toward Physics-guided Time Series Embedding.

[BibT_eX]

[DOI]

CoRR, 2024

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia.

[BibT_eX]

[DOI]

CoRR, 2024

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials.

[BibT_eX]

[DOI]

CoRR, 2024

TSI-Bench: Benchmarking Time Series Imputation.

[BibT_eX]

[DOI]

CoRR, 2024

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

NuwaTS: a Foundation Model Mending Every Incomplete Time Series.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Geospatial Region Embedding with Heterogeneous Graph.

[BibT_eX]

[DOI]

CoRR, 2024

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2024

Low-rank Adaptation for Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.

[BibT_eX]

[DOI]

CoRR, 2024

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.

[BibT_eX]

[DOI]

CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Multivariate Time Series Imputation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2024

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Generalization of Dynamic Graph Learning via Environment Prompt.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LaDe: The First Comprehensive Last-mile Express Dataset from Industry.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Foundation Models for Time Series Analysis: A Tutorial and Survey.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The 13th International Workshop on Urban Computing.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Cluster-Wide Task Slowdown Detection in Cloud System.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GSDI: Spatio-Temporal Contrastive Learning for Geo-Sensory Data Inference.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: What Can Large Language Models Tell Us about Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Lottery Ticket Automated.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Fall Prediction by a Spatio-Temporal Multi-Channel Causal Model from Wearable Sensors Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

AutoSTG<sup>+</sup>: An automatic framework to discover the optimal network for spatio-temporal graph prediction.

[BibT_eX]

[DOI]

Artif. Intell., May, 2023

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.

[BibT_eX]

[DOI]

CoRR, 2023

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2023

Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2023

When Urban Region Profiling Meets Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials.

[BibT_eX]

[DOI]

CoRR, 2023

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

[BibT_eX]

[DOI]

CoRR, 2023

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Processes for Spatio-Temporal Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Trajectory Similarity Learning with Dual-Feature Attention.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Primacy Effect of ChatGPT.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Fragile is Relation Extraction under Entity Replacements?

[BibT_eX]

[DOI]

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

AirFormer: Predicting Nationwide Air Quality in China with Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Visual Cascade Analytics of Large-Scale Spatiotemporal Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Meta Learning for Urban Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Fine-Grained Urban Flow Inference.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Federated Forest.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Content-Attribute Disentanglement for Generalized Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Time-Aware Neighbor Sampling on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Periodic residual learning for crowd flow forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

When do contrastive learning signals help spatio-temporal graph forecasting?

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Optimal battery selection for solar storage system.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computers, 2022

TrajFormer: Efficient Trajectory Classification with Transformers.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Time-Aware Neighbor Sampling for Temporal Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2021

PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Phase function estimation from a diffuse optical image via deep learning.

[BibT_eX]

[DOI]

CoRR, 2021

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Spatio-Temporal Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Mixup for Node and Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

CurGraph: Curriculum Learning for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fine-Grained Urban Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Adaptive Data Augmentation on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Directed Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Multi-context Aware Location Representations from Large-scale Geotagged Images.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Dynamic Public Resource Allocation Based on Human Mobility Prediction.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

GraphCrop: Subgraph Cropping for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Directed Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Convolutional Neural Networks for Urban Flow Analytics.

[BibT_eX]

[DOI]

CoRR, 2020

Progressive Supervision for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Digraph Inception Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Unsupervised Learning of Disentangled Location Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning to Generate Maps from Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

UrbanFM: Inferring Fine-Grained Urban Flows.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.

[BibT_eX]

[DOI]

Nirandika Wanigasekara

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2018

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Inferring Traffic Cascading Patterns.

[BibT_eX]

[DOI]

Yuxuan Liang

Zhongyuan Jiang

Yu Zheng

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Predicting Urban Water Quality with Ubiquitous Data.

[BibT_eX]

[DOI]

CoRR, 2016

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Yuxuan Liang

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