Xian Wei

Orcid: 0000-0002-9761-9584

According to our database1, Xian Wei authored at least 114 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Hyperbolic prototype rectification for few-shot 3D point cloud classification.
Pattern Recognit., 2025

2024
UAV-Assisted Free Space Optical Communication System With Decode-and-Forward Relaying.
IEEE Trans. Veh. Technol., October, 2024

SatensoRF: Fast Satellite Tensorial Radiance Field for Multidate Satellite Imagery of Large Size.
IEEE Trans. Geosci. Remote. Sens., 2024

rpcPRF: Generalizable MPI Neural Radiance Field for Satellite Camera With Single and Sparse Views.
IEEE Trans. Geosci. Remote. Sens., 2024

Graph Curvature Flow-Based Masked Attention.
J. Chem. Inf. Model., 2024

Zero-shot visual grounding via coarse-to-fine representation learning.
Neurocomputing, 2024

Zeoformer: Coarse-Grained Periodic Graph Transformer for OSDA-Zeolite Affinity Prediction.
CoRR, 2024

Relaxed Rotational Equivariance via <i>G</i>-Biases in Vision.
CoRR, 2024

SBDet: A Symmetry-Breaking Object Detector via Relaxed Rotation-Equivariance.
CoRR, 2024

When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices.
CoRR, 2024

Deep Extrinsic Manifold Representation for Vision Tasks.
CoRR, 2024

Approximate Matrix Multiplication over Sliding Windows.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Continuous Geodesic Self-Attention Models with Gated Fusion for Trajectory Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024

ProEqBEV: Product Group Equivariant BEV Network for 3D Object Detection in Road Scenes of Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Social Lode: Human Trajectory Prediction with Latent Odes.
Proceedings of the IEEE International Conference on Acoustics, 2024

Exact Fusion via Feature Distribution Matching for Few-Shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Power Allocation for NOMA-Based Visible Light Communication Systems with DQN.
Proceedings of the 14th International Symposium on Communication Systems, 2024

Hyperbolic Graph Diffusion Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph matching for knowledge graph alignment using edge-coloring propagation.
Pattern Recognit., December, 2023

RGBT tracking using randomly projected CNN features.
Expert Syst. Appl., August, 2023

Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure.
IEEE Trans. Knowl. Data Eng., 2023

Energy and Reliability-Aware Task Scheduling for Cost Optimization of DVFS-Enabled Cloud Workflows.
IEEE Trans. Cloud Comput., 2023

FairLight: Fairness-Aware Autonomous Traffic Signal Control With Hierarchical Action Space.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Missing-edge aware knowledge graph inductive inference through dual graph learning and traversing.
Expert Syst. Appl., 2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.
CoRR, 2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation.
CoRR, 2023

Curvature-based Transformer for Molecular Property Prediction.
CoRR, 2023

Simplicial Message Passing for Chemical Property Prediction.
CoRR, 2023

Hyperbolic Graph Diffusion Model for Molecule Generation.
CoRR, 2023

FedMR: Federated Learning via Model Recombination.
CoRR, 2023

Group Equivariant BEV for 3D Object Detection.
CoRR, 2023

Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations.
CoRR, 2023

Multi-scale Geometry-aware Transformer for 3D Point Cloud Classification.
CoRR, 2023

A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold.
CoRR, 2023

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning.
CoRR, 2023

Forwarding Strategies for Named Data Networking Based IoT: Requirements, Taxonomy, and Open Research Challenges.
IEEE Access, 2023

Couplformer: Rethinking Vision Transformer with Coupling Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Continual Learning via Manifold Expansion Replay.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Brief Industry Paper: RTLight: Digital Twin-Based Real-Time Federated Traffic Signal Control.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

Brief Industry Paper: Towards Efficient Task Scheduling for AUTOSAR using Parallel Pruning.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

RECO: Rotation Equivariant COnvolutional Neural Network for Human Trajectory Forecasting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Learning Dictionary for Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-Contrastive Learning for Backdoor Elimination.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2023

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Adaptive Fusion CNN Features for RGBT Object Tracking.
IEEE Trans. Intell. Transp. Syst., 2022

PID Controller-Inspired Model Design for Single Image De-Raining.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Hyperspectral Anomaly Detection Using Deep Learning: A Review.
Remote. Sens., 2022

Response map evaluation for RGBT tracking.
Neural Comput. Appl., 2022

High Resolution-Based Coherent Photonic Radar Sensor for Multiple Target Detections.
J. Sens. Actuator Networks, 2022

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation.
CoRR, 2022

Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds.
CoRR, 2022

FedMR: Fedreated Learning via Model Recombination.
CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.
CoRR, 2022

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification.
CoRR, 2022

SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding.
CoRR, 2022

O-ViT: Orthogonal Vision Transformer.
CoRR, 2022

Synthesizing Tensor Transformations for Visual Self-attention.
CoRR, 2022

An adaptive social-aware device-to-device communication mechanism for wireless networks.
Ad Hoc Networks, 2022

Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions.
IEEE Access, 2022

Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Geodesic Self-Attention for 3D Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Hand and Arm Gesture-based Human-Robot Interaction: A Review.
Proceedings of the 6th International Conference on Algorithms, Computing and Systems, 2022

Spatial-Frequency Domain Information Integration for Pan-Sharpening.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Cost Effective 100 Gbps FSO System Under the Impact of Fog by Incorporating OCDMA-PDM Scheme.
Wirel. Pers. Commun., 2021

Channel Assignment for Hybrid NOMA Systems With Deep Reinforcement Learning.
IEEE Wirel. Commun. Lett., 2021

Deep Clustering With Intraclass Distance Constraint for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.
Neural Comput. Appl., 2021

Experimental demonstration of 62.5 Mbps VLC link for healthcare infrastructures by incorporating limiting amplifier as an amplification scheme.
Microelectron. J., 2021

Learning Robust and Lightweight Model through Separable Structured Transformations.
CoRR, 2021

ViR: the Vision Reservoir.
CoRR, 2021

Couplformer: Rethinking Vision Transformer with Coupling Attention Map.
CoRR, 2021

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation.
CoRR, 2021

Boost Neural Networks by Checkpoints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
A robust visual tracking method via local feature extraction and saliency detection.
Vis. Comput., 2020

Adaptive model updating for robust object tracking.
Signal Process. Image Commun., 2020

UAV tracking based on saliency detection.
Soft Comput., 2020

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

CNN tracking based on data augmentation.
Knowl. Based Syst., 2020

Recovering the Missing Regions in Crystal Structures from the Nuclear Magnetic Resonance Measurement Data Using Matrix Completion Method.
J. Comput. Biol., 2020

Robust RGB-D tracking via compact CNN features.
Eng. Appl. Artif. Intell., 2020

Robust fusion for RGB-D tracking using CNN features.
Appl. Soft Comput., 2020

Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information.
IEEE Trans. Image Process., 2019

Detection based visual tracking with convolutional neural network.
Knowl. Based Syst., 2019

Scaled Alternating Steepest Descent Algorithm Applied for Protein Structure Determination from Nuclear Magnetic Resonance Data.
J. Comput. Biol., 2019

Feature selection with multi-view data: A survey.
Inf. Fusion, 2019

Robust visual tracking based on response stability.
Eng. Appl. Artif. Intell., 2019

Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images.
CoRR, 2019

1D-Convolutional Capsule Network for Hyperspectral Image Classification.
CoRR, 2019

Sequential Information Bottleneck Network for RUL Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Enhanced SqueezeNet Based Network for Real-Time Road-Object Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
An Improved Whale Optimization Algorithm Based on Different Searching Paths and Perceptual Disturbance.
Symmetry, 2018

RGB-NIR image categorization with prior knowledge transfer.
EURASIP J. Image Video Process., 2018

Point Cloud Semantic Segmentation Algorithm Based on Multi-information Markov Random Field.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Domain Adaptation with One-step Transformation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Deep Multi-view Sparse Subspace Clustering.
Proceedings of the VII International Conference on Network, Communication and Computing, 2018

20Gbps MDM-based Optical Multimode System for Short-haul Communication.
Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems, 2018

2017
Learning Image and Video Representations Based on Sparsity Priors.
PhD thesis, 2017

Dynamical Textures Modeling via Joint Video Dictionary Learning.
IEEE Trans. Image Process., 2017

Discriminative Features Based on Two Layers Sparse Learning for Glacier Area Classification Using SAR Intensity Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition.
Pattern Recognit., 2017

Exponential synchronization of a class of neural networks with sampled-data control.
Appl. Math. Comput., 2017

A recurrent neural network based method for predicting the state of aircraft air conditioning system.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Traffic sign recognition with transfer learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Faster-RCNN Based Chemical Fiber Paper Tube Defect Detection Method.
Proceedings of the 5th International Conference on Enterprise Systems, 2017

2016
Joint learning dictionary and discriminative features for high dimensional data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
An adaptive dictionary learning approach for modeling dynamical textures.
Proceedings of the IEEE International Conference on Acoustics, 2014


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