Yuxuan Liang

Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems ACL 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction AAAI 2026 Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting AAAI 2026 OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026 GraphAgent: Agentic Graph Language Assistant EMNLP 2025 Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025 Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025 Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks AAAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks AAAI 2025 UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction AAAI 2025 Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile Chargers IJCAI 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts ICML 2025 Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting ICLR 2025 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NIPS 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024 SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER AAAI 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024 Graph Lottery Ticket Automated ICLR 2024 Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Spatio-Temporal Field Neural Networks for Air Quality Inference IJCAI 2024 Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach IJCAI 2024 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NIPS 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NIPS 2023 How Fragile is Relation Extraction under Entity Replacements? CONLL 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023 How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023 Primacy Effect of ChatGPT EMNLP 2023 GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction NAACL 2022 Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis NAACL 2022 DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition ECCV 2022 Adaptive Data Augmentation on Temporal Graphs NIPS 2021 Modeling Trajectories with Neural Ordinary Differential Equations IJCAI 2021 Directed Graph Contrastive Learning NIPS 2021 Learning to Generate Maps from Trajectories AAAI 2020 Digraph Inception Convolutional Networks NIPS 2020 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking IJCAI 2019 GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction IJCAI 2018 Urban Water Quality Prediction Based on Multi-Task Multi-View Learning IJCAI 2016