Wei Xiang

Orcid: 0000-0002-8967-6423

Affiliations:
  • Beijing Jiaotong University, School of Software Engineering, China (PhD 2019)


According to our database1, Wei Xiang authored at least 45 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems.
Int. J. Cooperative Inf. Syst., June, 2024

DCRP: Class-Aware Feature Diffusion Constraint and Reliable Pseudo-Labeling for Imbalanced Semi-Supervised Learning.
IEEE Trans. Multim., 2024

ABAE: Auxiliary Balanced AutoEncoder for class-imbalanced semi-supervised learning.
Pattern Recognit. Lett., 2024

M-Mix: Patternwise Missing Mix for filling the missing values in traffic flow data.
Neural Comput. Appl., 2024

Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
GCAENet: global-class context with advanced edge network for single human parsing.
Vis. Comput., December, 2023

Adaptive graph generation based on generalized pagerank graph neural network for traffic flow forecasting.
Appl. Intell., December, 2023

FGBC: Flexible graph-based balanced classifier for class-imbalanced semi-supervised learning.
Pattern Recognit., November, 2023

SSDLog: a semi-supervised dual branch model for log anomaly detection.
World Wide Web (WWW), September, 2023

JointGraph: joint pre-training framework for traffic forecasting with spatial-temporal gating diffusion graph attention network.
Appl. Intell., June, 2023

MSPENet: multi-scale adaptive fusion and position enhancement network for human pose estimation.
Vis. Comput., May, 2023

Human pose estimation based on feature enhancement and multi-scale feature fusion.
Signal Image Video Process., April, 2023

Black-box attacks against log anomaly detection with adversarial examples.
Inf. Sci., 2023

A coarse-to-fine parallelizable surface defect detection approach for railway trackside equipment.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

STHGN: Citywide Crowd Flow Prediction in Irregular Regions using Hypergraph Convolutional Network.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Ensemble Distillation for Out-of-distribution Detection.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

The Art of Deception: Black-box Attack Against Text-to-Image Diffusion Model.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Class-Adaptive Threshold for Class Imbalanced Semi-Supervised Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Probing Handwritten Manchu Word Recognition Foundation Model.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Motion-aware future frame prediction for video anomaly detection based on saliency perception.
Signal Image Video Process., 2022

3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning.
Knowl. Based Syst., 2022

STGs: construct spatial and temporal graphs for citywide crowd flow prediction.
Appl. Intell., 2022

Adaptive spatial-temporal graph attention networks for traffic flow forecasting.
Appl. Intell., 2022

Redesign Visual Transformer For Small Datasets.
Proceedings of the IEEE Smartworld, 2022

APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.
Proceedings of the IEEE Smartworld, 2022

SiamDSA: Dual-Branch Self-Attention Siamese Network for Visual Object Tracking.
Proceedings of the IEEE Smartworld, 2022

SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection.
Proceedings of the IEEE Smartworld, 2022

AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
FMixCutMatch for semi-supervised deep learning.
Neural Networks, 2021

2020
DA-Res2Net: a novel Densely connected residual Attention network for image semantic segmentation.
KSII Trans. Internet Inf. Syst., 2020

An Incremental Self-Labeling Strategy for Semi-Supervised Deep Learning Based on Generative Adversarial Networks.
IEEE Access, 2020

STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting.
IEEE Access, 2020

Anomaly Detection of Trackside Equipment Based on GPS and Image Matching.
IEEE Access, 2020

Real-time Object Tracking Based on Improved Adversarial Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark.
Future Gener. Comput. Syst., 2019

PBEM: A Pattern-Based Embedding Model for User Location Category Prediction.
Proceedings of the Twelfth International Conference on Mobile Computing and Ubiquitous Network, 2019

2018
MGA for feature weight learning in SVM - a novel optimization method in pedestrian detection.
Multim. Tools Appl., 2018

Learning motion rules from real data: Neural network for crowd simulation.
Neurocomputing, 2018

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
Proceedings of the 6th International Conference on Learning Representations, 2018

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
A rapid multi-source shortest path algorithm for interactive image segmentation.
Multim. Tools Appl., 2017

Trajectory-based motion pattern analysis of crowds.
Neurocomputing, 2017

Log-based Abnormal Task Detection and Root Cause Analysis for Spark.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2014
Hybrid motion graph for character motion synthesis.
J. Vis. Lang. Comput., 2014


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