Youfang Lin
Orcid: 0000-0002-1611-4323
According to our database1,
Youfang Lin
authored at least 137 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin.
Expert Syst. Appl., March, 2024
IEEE Trans. Circuits Syst. Video Technol., February, 2024
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2024
IEEE Trans. Computational Imaging, 2024
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation.
CoRR, 2024
CoRR, 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2023
Spatially-Regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus.
IEEE Trans. Intell. Transp. Syst., December, 2023
A lightweight and style-robust neural network for autonomous driving in end side devices.
Connect. Sci., December, 2023
ACM Comput. Surv., November, 2023
A homologous and heterogeneous multi-view inter-patient adaptive network for arrhythmia detection.
Comput. Methods Programs Biomed., November, 2023
Proc. ACM Manag. Data, September, 2023
Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., August, 2023
IEEE Trans. Veh. Technol., April, 2023
IEEE Trans. Multim., 2023
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.
ACM Trans. Intell. Syst. Technol., 2023
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Multi-Stream Progressive Restoration for Low-Light Light Field Enhancement and Denoising.
IEEE Trans. Computational Imaging, 2023
Light Field Reflection and Background Separation Network Based on Adaptive Focus Selection.
IEEE Trans. Computational Imaging, 2023
IEEE Signal Process. Lett., 2023
Exploiting global context and external knowledge for distantly supervised relation extraction.
Knowl. Based Syst., 2023
CoRR, 2023
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation.
CoRR, 2023
A Reliable Representation with Bidirectional Transition Model for Visual Reinforcement Learning Generalization.
CoRR, 2023
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning.
CoRR, 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR, 2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning.
CoRR, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
CoRR, 2023
Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
M<sup>2</sup>G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Exploiting Interactivity and Heterogeneity for Sleep Stage Classification Via Heterogeneous Graph Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting.
IEEE Trans. Knowl. Data Eng., 2022
Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.
IEEE Trans. Intell. Transp. Syst., 2022
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.
ACM Trans. Intell. Syst. Technol., 2022
IEEE Trans. Computational Imaging, 2022
CoSleep: A Multi-View Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification.
IEEE Signal Process. Lett., 2022
PeerJ Comput. Sci., 2022
Integrating User-Group relationships under interest similarity constraints for social recommendation.
Knowl. Based Syst., 2022
Building and exploiting spatial-temporal knowledge graph for next POI recommendation.
Knowl. Based Syst., 2022
CoRR, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Enhanced Evolutionary Automated Program Repair by Finer-Granularity Ingredients and Better Search Algorithms.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
End-to-End Light Field Spatial Super-Resolution Network Using Multiple Epipolar Geometry.
IEEE Trans. Image Process., 2021
IEEE Trans. Computational Imaging, 2021
Enhanced Spinning Parallelogram Operator Combining Color Constraint and Histogram Integration for Robust Light Field Depth Estimation.
IEEE Signal Process. Lett., 2021
Self-adversarial variational autoencoder with spectral residual for time series anomaly detection.
Neurocomputing, 2021
Entropy, 2021
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging.
CoRR, 2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.
CoRR, 2021
HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Occlusion-aware Bi-directional Guided Network for Light Field Salient Object Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Label Distribution Learning by Mining Local Label Correlations in Self-regulating Clusters Independent of Sample Distance.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Collision-aware Multi-robot Motion Coordination Deep-RL with Dynamic Priority Strategy.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging.
IEEE Trans. Artif. Intell., 2020
Knowl. Based Syst., 2020
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters.
CoRR, 2020
Comput. Biol. Medicine, 2020
IEEE Access, 2020
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
A column-generation-based heuristic for passenger recovery problem considering multi-flights and seat-sharing constraints.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2020
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
基于时空循环卷积网络的城市区域人口流量预测 (Citywide Crowd Flows Prediction Based on Spatio-Temporal Recurrent Convolutional Networks).
计算机科学, 2019
Entropy, 2019
Comput. Methods Programs Biomed., 2019
Models for aircraft maintenance routing problem with consideration of remaining time and robustness.
Comput. Ind. Eng., 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories.
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Spatio-Temporal Recurrent Convolutional Networks for Citywide Short-term Crowd Flows Prediction.
Proceedings of the 2nd International Conference on Compute and Data Analysis, 2018
2017
Improving local clustering based top-L link prediction methods via asymmetrical link clustering information.
CoRR, 2017
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017
Time-Frequency Convolutional Neural Network for Automatic Sleep Stage Classification Based on Single-Channel EEG.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2016
An efficient approach of map-learning on service robot in complex office environment using laser radar.
Proceedings of the 14th International Conference on Control, 2016
2015
Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers.
IEEE Trans. Intell. Transp. Syst., 2015
J. Comput. Sci. Technol., 2015
A parameter free similarity index based on clustering ability for link prediction in complex networks.
CoRR, 2015
Self-adaptive perturbation and multi-neighborhood search for iterated local search on the permutation flow shop problem.
Comput. Ind. Eng., 2015
2014
A Self-adaptive Iterated Local Search Algorithm on the Permutation Flow Shop Scheduling Problem.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014
An efficient approach to mobile robot motion planning in dynamically unknown environments.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
2012
Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks.
J. Comput. Sci. Technol., 2012
J. Comput. Sci. Technol., 2012
2011
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011
A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011
2010
A fast and reasonable method for community detection with adjustable extent of overlapping.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010
2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008
2004
2003
Proceedings of the Rough Sets, 2003
Proceedings of the Rough Sets, 2003