Xutao Li

Orcid: 0000-0003-2728-3058

According to our database1, Xutao Li authored at least 178 papers between 2002 and 2024.

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Bibliography

2024
Toward a Variation-Aware and Interpretable Model for Radar Image Sequence Prediction.
IEEE Trans. Ind. Informatics, October, 2024

TLS-MWP: A Tensor-Based Long- and Short-Range Convolution for Multiple Weather Prediction.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

Spherical Neural Operator Network for Global Weather Prediction.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

TinyPredNet: A Lightweight Framework for Satellite Image Sequence Prediction.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave.
IEEE Trans. Geosci. Remote. Sens., 2024

Cross-Modal Hashing With Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2024

A Practical Online Incremental Learning Framework for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens., 2024

LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics.
IEEE Trans. Geosci. Remote. Sens., 2024

A Multiscale Dual Attention Network for the Automatic Classification of Polar Sea Ice and Open Water Based on Sentinel-1 SAR Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Spatiotemporal Gated Graph Transformer for EEG-Based Emotion Recognition.
IEEE Signal Process. Lett., 2024

AMANet: An Adaptive Memory Attention Network for video cloud detection.
Pattern Recognit., 2024

Facilitating interaction between partial differential equation-based dynamics and unknown dynamics for regional wind speed prediction.
Neural Networks, 2024

LG-VQ: Language-Guided Codebook Learning.
CoRR, 2024

MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information.
CoRR, 2024

Four-hour thunderstorm nowcasting using deep diffusion models of satellite.
CoRR, 2024

Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-stage Robust Implicit Decision Rule for Optimal Control Problem of Energy Storage System.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network.
Neural Networks, November, 2023

Prototype Completion for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

PEPNet: A barotropic primitive equations-based network for wind speed prediction.
Neural Networks, October, 2023

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction.
IEEE Trans. Knowl. Data Eng., September, 2023

On Understanding of Spatiotemporal Prediction Model.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Spatiotemporal prediction in three-dimensional space by separating information interactions.
Appl. Intell., July, 2023

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

NPDN-3D: A 3D neural partial differential network for spatiotemporal prediction.
Pattern Recognit., June, 2023

Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction.
Neural Comput. Appl., June, 2023

Anchor Assisted Experience Replay for Online Class-Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.
Neural Networks, May, 2023

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Multi-relational graph convolutional networks: Generalization guarantees and experiments.
Neural Networks, April, 2023

Interpretable local flow attention for multi-step traffic flow prediction.
Neural Networks, April, 2023

Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network.
Appl. Intell., February, 2023

Consistency Center-Based Deep Cross-Modal Hashing for Multisource Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2023

Cross-View Object Geo-Localization in a Local Region With Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023

TRCDNet: A Transformer Network for Video Cloud Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Spatial-Temporal Consistency for Satellite Image Sequence Prediction.
IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Cross-Domain Aspect-Based Sentiment Classification by Exploiting Domain- Invariant Semantic-Primary Feature.
IEEE Trans. Affect. Comput., 2023

Exploiting Spatial-Temporal Dynamics for Satellite Image Sequence Prediction.
IEEE Geosci. Remote. Sens. Lett., 2023

TFG-Net: Tropical Cyclone Intensity Estimation from a Fine-grained perspective with the Graph convolution neural network.
Eng. Appl. Artif. Intell., 2023

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning.
CoRR, 2023

UER: A Heuristic Bias Addressing Approach for Online Continual Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-semantic Representation with Transformer Network for Video Classification.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2022

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens., 2022

LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

A Convolutional Neural Network-Based Relative Radiometric Calibration Method.
IEEE Trans. Geosci. Remote. Sens., 2022

MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction.
IEEE Trans. Geosci. Remote. Sens., 2022

Multisensor Fusion and Explicit Semantic Preserving-Based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2022

A Probability Theory Approach to Stability Analysis of Networked Sampled-Data Systems With Consecutive Packet Dropouts.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Graph filter design by ring-decomposition for 2-connected graphs.
Signal Process., 2022

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction.
Pattern Recognit. Lett., 2022

ECDNet: A bilateral lightweight cloud detection network for remote sensing images.
Pattern Recognit., 2022

Discrete curve model for non-elastic shape analysis on shape manifold.
Pattern Recognit., 2022

DynamicNet: A time-variant ODE network for multi-step wind speed prediction.
Neural Networks, 2022

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.
Neural Networks, 2022

AM-ConvGRU: a spatio-temporal model for typhoon path prediction.
Neural Comput. Appl., 2022

An Energy-Based Generative Adversarial Forecaster for Radar Echo Map Extrapolation.
IEEE Geosci. Remote. Sens. Lett., 2022

Better Visual Interpretation for Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting.
Knowl. Based Syst., 2022

GCDB-UNet: A novel robust cloud detection approach for remote sensing images.
Knowl. Based Syst., 2022

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval.
Knowl. Based Syst., 2022

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction.
Inf. Sci., 2022

The reconstitution predictive network for precipitation nowcasting.
Neurocomputing, 2022

Location-Refining neural network: A new deep learning-based framework for Heavy Rainfall Forecast.
Comput. Geosci., 2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning.
CoRR, 2022

SentATN: learning sentence transferable embeddings for cross-domain sentiment classification.
Appl. Intell., 2022

Visual Grounding in Remote Sensing Images.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Conditional GAN for Point Cloud Generation.
Proceedings of the Computer Vision - ACCV 2022, 2022

PointFormer: A Dual Perception Attention-Based Network for Point Cloud Classification.
Proceedings of the Computer Vision - ACCV 2022, 2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PFST-LSTM: A SpatioTemporal LSTM Model With Pseudoflow Prediction for Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Simplifying a shape manifold as linear manifold for shape analysis.
Signal Image Video Process., 2021

A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation.
Remote. Sens., 2021

Learn to abstract via concept graph for weakly-supervised few-shot learning.
Pattern Recognit., 2021

Performance analysis of cache-aided UAV relaying networks.
Phys. Commun., 2021

An Investigation on Deep Learning Approaches to Combining Nighttime and Daytime Satellite Imagery for Poverty Prediction.
IEEE Geosci. Remote. Sens. Lett., 2021

MLCE: A Multi-Label Crotch Ensemble Method for Multi-Label Classification.
Int. J. Pattern Recognit. Artif. Intell., 2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.
CoRR, 2021

RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting.
CoRR, 2021

A network traffic forecasting method based on SA optimized ARIMA-BP neural network.
Comput. Networks, 2021

Gait Data Generation Method for Humanoid Robot Training.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Prototype Completion With Primitive Knowledge for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Flexible Sensor Array Based on Transient Earth Voltage for Online Partial Discharge Monitoring of Cable Termination.
Sensors, 2020

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification.
Remote. Sens., 2020

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation.
Pattern Recognit., 2020

Interference suppression by exploiting wireless cache in relaying networks for B5G communications.
Phys. Commun., 2020

TLVANE: a two-level variation model for attributed network embedding.
Neural Comput. Appl., 2020

A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting.
IEEE Geosci. Remote. Sens. Lett., 2020

A memory network based end-to-end personalized task-oriented dialogue generation.
Knowl. Based Syst., 2020

State representation modeling for deep reinforcement learning based recommendation.
Knowl. Based Syst., 2020

Top-aware reinforcement learning based recommendation.
Neurocomputing, 2020

A multi-task learning model with adversarial data augmentation for classification of fine-grained images.
Neurocomputing, 2020

Predictive precoding based on the Grassmannian manifold for UAV-enabled cache-assisted B5G communication systems.
EURASIP J. Wirel. Commun. Netw., 2020

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network.
CoRR, 2020

MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning.
CoRR, 2020

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation.
CoRR, 2020

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

A Noise Adaptive Model for Distantly Supervised Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cascade SEIRD: Forecasting the Spread of COVID-19 with Dynamic Parameters Update.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Aligning Users Across Social Networks via Intra and Inter Attentions.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Automatic Cross-City API Matching for Urban Service Collaboration Based on Semantics.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net.
IEEE Trans. Geosci. Remote. Sens., 2019

Impact of outdated antenna selection on cache-aided UAV relay networks.
Phys. Commun., 2019

Low-resolution image categorization via heterogeneous domain adaptation.
Knowl. Based Syst., 2019

Sentiment analysis through critic learning for optimizing convolutional neural networks with rules.
Neurocomputing, 2019

Anchor Link Prediction across Attributed Networks via Network Embedding.
Entropy, 2019

Optimal Pilot Design for MIMO Broadcasting Systems Based on the Positive Definite Matrix Manifold.
IEEE Access, 2019

Multi-Relay Non-Orthogonal Multiple Access Network With Cache-Enabled Users.
IEEE Access, 2019

Learning Stance Classification with Recurrent Neural Capsule Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Personalized End-to-End Task-Oriented Dialogue Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Heterogeneous Domain Adaptation via Soft Transfer Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Road Detection via Deep Residual Dense U-Net.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Comparative Study on Machine Learning Approaches to Thunderstorm Gale Identification.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018
Hyperspectral Image Classification With Deep Learning Models.
IEEE Trans. Geosci. Remote. Sens., 2018

Multi-attribute and relational learning via hypergraph regularized generative model.
Neurocomputing, 2018

Block principal component analysis for tensor objects with frequency or time information.
Neurocomputing, 2018

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.
CoRR, 2018

Chinese Painting Rendering by Adaptive Style Transfer.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Secrecy Analysis of Multiuser Untrusted Amplify-and-Forward Relay Networks.
Wirel. Commun. Mob. Comput., 2017

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Semi-supervised Collective Classification in Multi-attribute Network Data.
Neural Process. Lett., 2017

Multi-view learning via multiple graph regularized generative model.
Knowl. Based Syst., 2017

Block linear discriminant analysis for visual tensor objects with frequency or time information.
J. Vis. Commun. Image Represent., 2017

Multiuser energy harvesting relaying system with direct links.
IET Commun., 2017

DF Relaying Networks With Randomly Distributed Interferers.
IEEE Access, 2017

A General Model for Out-of-town Region Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Monocular visual-inertial state estimation on 3D large-scale scenes for UAVs navigation.
Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A generative model with hypergraph regularizers for protein function prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A General Recommendation Model for Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2016

MultiVCRank With Applications to Image Retrieval.
IEEE Trans. Image Process., 2016

Design of a Sensorless Controller Synthesized by Robust H∞ Control for Boost Converters.
IEICE Trans. Commun., 2016

BLM-Rank: A Bayesian Linear Method for Learning to Rank and Its GPU Implementation.
IEICE Trans. Inf. Syst., 2016

A novel density peak based semi-supervised clustering algorithm.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Total variation based tensor decomposition for multi-dimensional data with time dimension.
Numer. Linear Algebra Appl., 2015

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification.
Knowl. Based Syst., 2015

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks.
Big Data Res., 2015

Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Personalized Ranking Metric Embedding for Next New POI Recommendation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A general graph-based model for recommendation in event-based social networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
MultiComm: Finding Community Structurein Multi-Dimensional Networks.
IEEE Trans. Knowl. Data Eng., 2014

Mixture approximation to the amplitude statistics of isotropic α-stable clutter.
Signal Process., 2014

Multi-label collective classification via Markov chain based learning method.
Knowl. Based Syst., 2014

Detecting hot topics from Twitter: A multiview approach.
J. Inf. Sci., 2014

2013
Stratified sampling for feature subspace selection in random forests for high dimensional data.
Pattern Recognit., 2013

Near-optimal detection with constant false alarm ratio in varying impulsive interference.
IET Signal Process., 2013

2012
On Distribution of SaS Noise and its Application in Performance Analysis for Linear Rake Receivers.
IEEE Commun. Lett., 2012

HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

MIMO system capacity with imperfect feedback channel.
Proceedings of the 7th International Conference on Communications and Networking in China, 2012

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
A comparative study of feature weighting methods for document co-clustering.
Int. J. Inf. Technol. Commun. Convergence, 2011

MultiRank: co-ranking for objects and relations in multi-relational data.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

An Agglomerative Fuzzy K-means Approach to Building Decision Cluster Classifiers.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

2010
On cluster tree for nested and multi-density data clustering.
Pattern Recognit., 2010

2009
A near optimum detection in alpha-stable impulsive noise.
Proceedings of the IEEE International Conference on Acoustics, 2009

Feature Weighting Information-Theoretic Co-Clustering for Document Clustering.
Proceedings of the 2nd International Conference on Computer Science and its Applications, 2009

2006
A new texture representation with multi-scale wavelet feature.
Proceedings of the Visual Information Processing XV, 2006

A new edge detection based on pyramid-structure wavelet transform.
Proceedings of the Visual Information Processing XV, 2006

Super resolution reconstruction based on motion estimation error and edge adaptive constraints.
Proceedings of the Visual Information Processing XV, 2006

Multiscale self-similarity features of terrain surface.
Proceedings of the Visual Information Processing XV, 2006

2002
3D visual surface reconstruction based on wavelet decomposition and fractal interpolation.
Proceedings of the Visual Communications and Image Processing 2002, 2002


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