PPaperPicks

Yuxuan Liang

Hong Kong University of Science and Technology (Guangzhou), China

85 papers at tracked venues · 74 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
  2. AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
  3. Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
  4. Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
  5. Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective
  6. Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web
  7. FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
  8. How to Train Your Mamba for Time Series Forecasting
  9. LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research
  10. OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
  11. Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
  12. Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems
  13. AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction
  14. Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
  15. AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
  16. Data Driven Decision Making with Time Series and Spatio-Temporal Data
  17. Deep Learning for Multivariate Time Series Imputation: A Survey
  18. DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
  19. Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  20. Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
  21. Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework
  22. FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
  23. Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
    SIGKDD 2025 · Yuxuan Liang
  24. GraphAgent: Agentic Graph Language Assistant
  25. Improving Bilinear RNN with Closed-loop Control
  26. Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
  27. Learning to Factorize Spatio-Temporal Foundation Models
  28. Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
  29. Multimodal Learning for Spatio-Temporal Data Mining
  30. Nature Makes No Leaps: Building Continuous Location Embeddings with Satellite Imagery from the Web
  31. Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
  32. Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
  33. Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers
  34. ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting
  35. ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
  36. Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts
  37. The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs
  38. The 14th International Workshop on Urban Computing
    SIGKDD 2025 · Yuxuan Liang
  39. The International Workshop on Spatio-Temporal Data Intelligence and Foundation Models
  40. The International Workshop on Spatio-Temporal Data Mining from the Web
    WWW 2025 · Yuxuan Liang
  41. The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications
  42. Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
  43. Time Series Analysis in the Web: Recent Advances and Future Trends
  44. Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
  45. Towards Multi-Scenario Forecasting of Building Electricity Loads with Multimodal Data
  46. Towards Neural Scaling Laws for Time Series Foundation Models
  47. Towards Scalable and Deep Graph Neural Networks via Noise Masking
    AAAI 2025 · Yuxuan Liang
  48. Training-Free Heterogeneous Graph Condensation via Data Selection
    ICDE 2025 · Yuxuan Liang
  49. UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
  50. UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
  51. Unlocking the Power of LSTM for Long Term Time Series Forecasting
  52. UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
  53. Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era
  54. Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
  55. COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
  56. CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
  57. Cluster-Wide Task Slowdown Detection in Cloud System
  58. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
  59. Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
  60. Foundation Models for Time Series Analysis: A Tutorial and Survey
    SIGKDD 2024 · Yuxuan Liang
  61. GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
  62. Graph Lottery Ticket Automated
  63. HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism
    ICDE 2024 · Yuxuan Liang
  64. Improving Generalization of Dynamic Graph Learning via Environment Prompt
  65. LaDe: The First Comprehensive Last-mile Express Dataset from Industry
  66. Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
  67. Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
  68. NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
  69. Position: What Can Large Language Models Tell Us about Time Series Analysis
  70. Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
  71. Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency
  72. SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER
  73. Spatio-Temporal Field Neural Networks for Air Quality Inference
  74. Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
  75. The 13th International Workshop on Urban Computing
    SIGKDD 2024 · Yuxuan Liang
  76. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
  77. The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
  78. Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
  79. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
  80. Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
  81. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
  82. UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
  83. Urban Sensing for Multi-Destination Workers via Deep Reinforcement Learning
  84. UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
  85. UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation