Siyang Lu

According to our database, Siyang Lu authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems.

Minquan Wang, Siyang Lu, Sizhe Xiao, Dongdong Wang, Wei Xiang, Ningning Han, Liqiang Wang

Int. J. Cooperative Inf. Syst., June, 2024

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection.

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models.

Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SSDLog: a semi-supervised dual branch model for log anomaly detection.

Siyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang

World Wide Web (WWW), September, 2023

Black-box attacks against log anomaly detection with adversarial examples.

Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang

Inf. Sci., 2023

Ensemble Distillation for Out-of-distribution Detection.

Dongdong Wang, Jingyao Xu, Siyang Lu, Xiang Wei, Liqiang Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

SemLog: A Semantics-based Approach for Anomaly Detection in Big Data System Logs.

Xiaoman Tan, Ningning Han, Siyang Lu, Wu Chen, Dongdong Wang

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.

Yuetong Lu, Jingyao Xu, Yandong Li, Siyang Lu, Wei Xiang, Wei Lu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Class-Adaptive Threshold for Class Imbalanced Semi-Supervised Learning.

Xiaoyu Liu, Wei Xiang, Jingjie Wang, Siyang Lu, Weiwei Xing

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder.

Zaichao Lin, Siyang Lu, Ningning Han, Dongdong Wang, Xiang Wei, Mingquan Wang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Probing Handwritten Manchu Word Recognition Foundation Model.

Haoran Li, Siyang Lu, Xiang Wei, Yingjun Qi

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning.

Xiangyuan Kong, Xiang Wei, Xiaoyu Liu, Jingjie Wang, Siyang Lu, Weiwei Xing, Wei Lu

Knowl. Based Syst., 2022

Redesign Visual Transformer For Small Datasets.

Jingjie Wang, Xiang Wei, Siyang Lu, Mingquan Wang, Xiaoyu Liu, Wei Lu

Proceedings of the IEEE Smartworld, 2022

APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.

Dongdong Wang, Siyang Lu, Xiang Wei, Mingquan Wang, Yandong Li, Liqiang Wang

Proceedings of the IEEE Smartworld, 2022

SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection.

Ningning Han, Siyang Lu, Dongdong Wang, Mingquan Wang, Xiaoman Tan, Xiang Wei

Proceedings of the IEEE Smartworld, 2022

A Lightweight Homomorphic Encryption Federated Learning Based on Blockchain in IoV.

Dongcai Du, Wei Zhao, Linna Wei, Siyang Lu, Xuangou Wu

Proceedings of the IEEE Smartworld, 2022

AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset.

Zhiwei Wang, Siyang Lu, Mingquan Wang, Xiang Wei, Yingjun Qi

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

FMixCutMatch for semi-supervised deep learning.

Xiang Wei, Xiaotao Wei, Xiangyuan Kong, Siyang Lu, Weiwei Xing, Wei Lu

Neural Networks, 2021

Exploring Support Vector Machines for Big Data Analyses.

Siyang Lu, Yihong Chen, Xiaolin Zhu, Ziyi Wang, Yangjun Ou, Yuhang Xie

Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.

Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

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

Xiaotao Wei, Xiang Wei, Weiwei Xing, Siyang Lu, Wei Lu

IEEE Access, 2020

2019

LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark.

Siyang Lu, Xiang Wei, Bingbing Rao, Byung-Chul Tak, Long Wang, Liqiang Wang

Future Gener. Comput. Syst., 2019

2018

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network.

Siyang Lu, Xiang Wei, Yandong Li, Liqiang Wang

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017

Log-based Abnormal Task Detection and Root Cause Analysis for Spark.

Siyang Lu, BingBing Rao, Xiang Wei, Byung-Chul Tak, Long Wang, Liqiang Wang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017