Youfang Lin

LF-BVN: Blind-View Network for Self-Supervised Light Field Denoising CVPR 2026 Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos CVPR 2026 STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation ACL 2026 Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution AAAI 2026 A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025 Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning IJCAI 2025 CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness AAAI 2025 CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework AAAI 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025 Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation ICCV 2025 Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement ICCV 2025 From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination IJCAI 2025 Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification AAAI 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories IJCAI 2025 DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data NeurIPS 2024 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NeurIPS 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024 Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023 GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution AAAI 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023 WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting NeurIPS 2023 Attention-based Multi-Level Fusion Network for Light Field Depth Estimation AAAI 2021 GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting AAAI 2021 Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction AAAI 2021 Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter IJCAI 2021 SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging IJCAI 2021 GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification IJCAI 2020 Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting AAAI 2020 Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting AAAI 2019 Exploiting the Entity Type Sequence to Benefit Event Detection CoNLL 2019 Improving Relation Classification by Entity Pair Graph ACML 2019 Residual Networks for Light Field Image Super-Resolution CVPR 2019