Latest

• X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
• Spatial-Temporal Large Language Model for Traffic Prediction
• TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment
• VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network
• PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning
• DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge
• A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Mode
• Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
• MultiFun-DAG: Multivariate Functional Directed Acyclic Graph
• TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
• Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
• PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency
• SQLBench: Benchmarking the Text-to-SQL Capability of Large Language Models - A Comprehensive Evaluation
• Sparse Decomposition Methods for Spatio-Temporal Anomaly Detection
• Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
• Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
• A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery
• KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
• Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function -- with Real Applications in Traffic Domain
• TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage
• Advanced Data Analytics for Business – Deep Learning
• Dynamic Causal Graph Convolutional Network for Traffic Prediction
• Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
• A Unified Probabilistic Framework for Spatiotemporal Passenger Crowdedness Inference within Urban Rail Transit Network
• Adaptive Hierarchical SpatioTemporal Network for Traffic Forecasting
• Relation-Aware Distribution Representation Network for Person Clustering With Multiple Modalities
• MM-DAG: Multi-task DAG Learning for Multi-modal Data--with Application for Traffic Congestion Analysis
• A Privacy-preserving Heart Rate Prediction System for Drivers in Connected Vehicles
• GESA: A General Scenario-agnostic Reinforcement Learning for Traffic Signal Control
• Advanced Machine Learning for Smart Transportation (with GaTech)
• Jointly contrastive representation learning on road network and trajectory
• The paradox of the artificial intelligence system development process: the use case of corporate wellness programs using smart wearables
• Profile Decomposition based Hybrid Transfer Learning for Cold-start Data Anomaly Detection
• Individualized Passenger Travel Pattern Multi-Clustering based on Graph Regularized Tensor Latent Dirichlet Allocation
• Tensor Topic Models with Graphs and Applications on Individualized Travel Patterns
• Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile
• Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction
• Discussion of 'A novel approach to the analysis of spatial and functional data over complex domains'
• My Dating Hack
• JD Prediction