Yuxuan Liang

22

Papers

260

Total Citations

Papers (22)

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

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

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

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

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

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

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

Towards Scalable and Deep Graph Neural Networks via Noise Masking

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

Improving Bilinear RNN with Closed-loop Control

Aeolus: A Multi-structural Flight Delay Dataset

Unlocking the Power of LSTM for Long Term Time Series Forecasting

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

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

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

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

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

Digraph Inception Convolutional Networks

Adaptive Data Augmentation on Temporal Graphs

Directed Graph Contrastive Learning

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

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting