Log-based Abnormal Task Detection and Root Cause Analysis for Spark. - Siyang Lu; BingBing Rao; Xiang Wei 007; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (ICWS, 2017)

Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network. - Siyang Lu; Xiang Wei 007; Yandong Li; Liqiang Wang 001 (DASC/PiCom/DataCom/CyberSciTech, 2018)

LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark. - Siyang Lu; Xiang Wei 007; Bingbing Rao; Byung-Chul Tak; Long Wang 003; Liqiang Wang 001 (Future Gener. Comput. Syst., 2019)

An Incremental Self-Labeling Strategy for Semi-Supervised Deep Learning Based on Generative Adversarial Networks. - Xiaotao Wei; Xiang Wei 007; Weiwei Xing; Siyang Lu; Wei Lu 010 (IEEE Access, 2020)

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. - Bingbing Rao; Zixia Liu; Hong Zhang 047; Siyang Lu; Liqiang Wang 001 (CLOUD, 2021)

Exploring Support Vector Machines for Big Data Analyses. - Siyang Lu; Yihong Chen; Xiaolin Zhu; Ziyi Wang; Yangjun Ou; Yuhang Xie (CSSE, 2021)

FMixCutMatch for semi-supervised deep learning. - Xiang Wei 007; Xiaotao Wei; Xiangyuan Kong; Siyang Lu; Weiwei Xing; Wei Lu 010 (Neural Networks, 2021)

AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset. - Zhiwei Wang; Siyang Lu; Mingquan Wang; Xiang Wei 007; Yingjun Qi (ICONIP (2), 2022)

A Lightweight Homomorphic Encryption Federated Learning Based on Blockchain in IoV. - Dongcai Du; Wei Zhao 023; Linna Wei; Siyang Lu; Xuangou Wu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection. - Ningning Han; Siyang Lu; Dongdong Wang; Mingquan Wang; Xiaoman Tan; Xiang Wei 007 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning. - Dongdong Wang; Siyang Lu; Xiang Wei 007; Mingquan Wang; Yandong Li; Liqiang Wang 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Redesign Visual Transformer For Small Datasets. - Jingjie Wang; Xiang Wei 007; Siyang Lu; Mingquan Wang; Xiaoyu Liu; Wei Lu 010 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning. - Xiangyuan Kong; Xiang Wei 007; Xiaoyu Liu; Jingjie Wang; Siyang Lu; Weiwei Xing; Wei Lu 010 (Knowl. Based Syst., 2022)

Probing Handwritten Manchu Word Recognition Foundation Model. - Haoran Li; Siyang Lu; Xiang Wei 007; Yingjun Qi (ICPADS, 2023)

TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder. - Zaichao Lin; Siyang Lu; Ningning Han; Dongdong Wang; Xiang Wei 007; Mingquan Wang (ICPADS, 2023)

Class-Adaptive Threshold for Class Imbalanced Semi-Supervised Learning. - Xiaoyu Liu; Wei Xiang 007; Jingjie Wang; Siyang Lu; Weiwei Xing (ICPADS, 2023)

The Art of Deception: Black-box Attack Against Text-to-Image Diffusion Model. - Yuetong Lu; Jingyao Xu 001; Yandong Li; Siyang Lu; Wei Xiang 007; Wei Lu 010 (ICPADS, 2023)

SemLog: A Semantics-based Approach for Anomaly Detection in Big Data System Logs. - Xiaoman Tan; Ningning Han; Siyang Lu; Wu Chen; Dongdong Wang (ICPADS, 2023)

Ensemble Distillation for Out-of-distribution Detection. - Dongdong Wang; Jingyao Xu 001; Siyang Lu; Xiang Wei 007; Liqiang Wang 001 (ICPADS, 2023)

Black-box attacks against log anomaly detection with adversarial examples. - Siyang Lu; Mingquan Wang; Dongdong Wang; Xiang Wei 007; Sizhe Xiao; Zhiwei Wang; Ningning Han; Liqiang Wang 001 (Inf. Sci., 2023)

SSDLog: a semi-supervised dual branch model for log anomaly detection. - Siyang Lu; Ningning Han; Mingquan Wang; Xiang Wei 007; Zaichao Lin; Dongdong Wang (World Wide Web (WWW), 2023)

Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models. - Jingyao Xu 001; Yuetong Lu; Yandong Li; Siyang Lu; Dongdong Wang; Xiang Wei 007 (CVPR, 2024)

GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. - Fan Xu 009; Nan Wang 015; Hao Wu 094; Xuezhi Wen; Dalin Zhang 003; Siyang Lu; Binyong Li; Wei Gong 001; Hai Wan; Xibin Zhao (ECML/PKDD (6), 2024)

An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems. - Minquan Wang; Siyang Lu; Sizhe Xiao; Dongdong Wang; Wei Xiang 007; Ningning Han; Liqiang Wang 001 (Int. J. Cooperative Inf. Syst., 2024)

A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model. - Ye Yuan 014; Siyang Lu; Xin Luo 001 (IEEE CAA J. Autom. Sinica, 2025)