Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis. - Han Liu 001; Di Wu 050; Ji Zhang 001; Xiaolin Yang; Xiaobin Yuan; Rafal Kustra (IC-AI, 2004)

A Survey on Latest Botnet Attack and Defense. - Lei Zhang; Shui Yu 001; Di Wu 050; Paul A. Watters (TrustCom, 2011)

Detecting Stepping Stones by Abnormal Causality Probability. - Sheng Wen; Ping Li 019; Di Wu 050; Yang Xiang 001; Wanlei Zhou 001 (CSS, 2013)

On Addressing the Imbalance Problem: A Correlated KNN Approach for Network Traffic Classification. - Di Wu 050; Xiao Chen 002; Chao Chen 015; Jun Zhang 010; Yang Xiang 001; Wanlei Zhou 001 (NSS, 2014)

Detecting stepping stones by abnormal causality probability. - Sheng Wen; Di Wu 050; Ping Li 019; Yang Xiang 001; Wanlei Zhou 001; Guiyi Wei (Secur. Commun. Networks, 2015)

Recent advances in video-based human action recognition using deep learning: A review. - Di Wu 050; Nabin Sharma; Michael Blumenstein (IJCNN, 2017)

Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos. - Di Wu 050; Nabin Sharma; Michael Blumenstein (DICTA, 2018)

An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition. - Di Wu 050; Nabin Sharma; Michael Blumenstein (IVCNZ, 2018)

Robust Feature-Based Automated Multi-View Human Action Recognition System. - Kuang-Pen Chou; Mukesh Prasad; Di Wu 050; Nabin Sharma; Dong-Lin Li; Yu-Feng Lin; Michael Blumenstein; Wen-Chieh Lin; Chin-Teng Lin (IEEE Access, 2018)

A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing. - Zhen Cheng; Jiale Zhang 001; Hongyan Qian; Mingrong Xiang; Di Wu 050 (ICA3PP (1), 2019)

PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network. - Ying Zhao 011; Junjun Chen; Jiale Zhang 001; Di Wu 050; Jian Teng; Shui Yu 001 (ICA3PP (1), 2019)

Adversarial Action Data Augmentation for Similar Gesture Action Recognition. - Di Wu 050; Junjun Chen; Nabin Sharma; Shirui Pan; Guodong Long; Michael Blumenstein (IJCNN, 2019)

Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. - Di Wu 050; Ruiqi Hu; Yu Zheng 013; Jing Jiang 002; Nabin Sharma; Michael Blumenstein (IJCNN, 2019)

Multi-Task Network Anomaly Detection using Federated Learning. - Ying Zhao 011; Junjun Chen; Di Wu 050; Jian Teng; Shui Yu 001 (SoICT, 2019)

Poisoning Attack in Federated Learning using Generative Adversarial Nets. - Jiale Zhang 001; Junjun Chen; Di Wu 050; Bing Chen 002; Shui Yu 001 (TrustCom/BigDataSE, 2019)

Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern. - Ying Zhao 011; Junjun Chen; Di Wu 050; Jian Teng; Nabin Sharma; Atul Sajjanhar; Michael Blumenstein (Inf., 2019)

Video-based similar gesture action recognition using deep learning and GAN-based approaches - Di Wu 050 (2019)

Defending Poisoning Attacks in Federated Learning via Adversarial Training Method. - Jiale Zhang 001; Di Wu 050; Chengyong Liu; Bing Chen 002 (FCS, 2020)

Network Anomaly Detection Using Federated Learning and Transfer Learning. - Ying Zhao 011; Junjun Chen; Qianling Guo; Jian Teng; Di Wu 050 (SPDE, 2020)

Defending against Membership Inference Attacks in Federated learning via Adversarial Example. - Yuanyuan Xie; Bing Chen 002; Jiale Zhang 001; Di Wu 050 (MSN, 2021)

Fooling intrusion detection systems using adversarially autoencoder. - Junjun Chen; Di Wu 050; Ying Zhao 011; Nabin Sharma; Michael Blumenstein; Shui Yu 001 (Digit. Commun. Networks, 2021)

Campus Network Intrusion Detection based on Federated Learning. - Junjun Chen; Qiang Guo; Zhongnan Fu; Qun Shang; Hao Ma; Di Wu 050 (IJCNN, 2022)

A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning. - Di Wu 050; Nai Wang; Jiale Zhang 001; Yuan Zhang 007; Yong Xiang 001; Longxiang Gao (IJCNN, 2022)

From distributed machine learning to federated learning: In the view of data privacy and security. - Sheng Shen 005; Tianqing Zhu; Di Wu 050; Wei Wang; Wanlei Zhou 001 (Concurr. Comput. Pract. Exp., 2022)

Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks. - Ying Zhao 011; Junjun Chen; Jiale Zhang 001; Di Wu 050; Michael Blumenstein; Shui Yu 001 (Concurr. Comput. Pract. Exp., 2022)

Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things. - Nai Wang; Junjun Chen; Di Wu 050; Wencheng Yang; Yong Xiang 001; Atul Sajjanhar (J. Inf. Secur. Appl., 2023)

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems. - Jiale Zhang 001; Yue Liu; Di Wu 050; Shuai Lou; Bing Chen 002; Shui Yu 001 (Digit. Commun. Networks, 2023)

FedInverse: Evaluating Privacy Leakage in Federated Learning. - Di Wu 050; Jun Bai; Yiliao Song; Junjun Chen; Wei Zhou; Yong Xiang 001; Atul Sajjanhar (ICLR, 2024)

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. - Jiale Zhang 001; Chengcheng Zhu; Di Wu 050; Xiaobing Sun 001; Jianming Yong; Guodong Long (IJCAI, 2024)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. - Sicong Cao; Xiaobing Sun 001; Ratnadira Widyasari; David Lo 001; Xiaoxue Wu 001; Lili Bo; Jiale Zhang 001; Bin Li 006; Wei Liu 010; Di Wu 050; Yixin Chen 001 (CoRR, 2024)

A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects. - Jun Bai; Di Wu 050; Tristan Shelley; Peter Schubel; David Twine; John Russell; Xuesen Zeng; Ji Zhang 001 (CoRR, 2024)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks. - Hao Sui; Bing Chen 002; Jiale Zhang 001; Chengcheng Zhu; Di Wu 050; Qinghua Lu 001; Guodong Long (CoRR, 2024)

A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning. - Jun Bai; Yiliao Song; Di Wu 050; Atul Sajjanhar; Yong Xiang 001; Wei Zhou; Xiaohui Tao 001; Yan Li 002 (CoRR, 2024)

EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices. - Sicong Cao; Xiaobing Sun 001; Wei Liu 010; Di Wu 050; Jiale Zhang 001; Yan Li 002; Tom H. Luan; Longxiang Gao (IEEE Internet Things J., 2024)

From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding. - Borui Cai; Yong Xiang 001; Longxiang Gao; Di Wu 050; He Zhang 012; Jiong Jin; Tom H. Luan (IEEE Trans. Knowl. Data Eng., 2024)

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. - Jiale Zhang 001; Haoxuan Li; Di Wu 050; Xiaobing Sun 001; Qinghua Lu 001; Guodong Long (WWW, 2025)

EPAD: Ethereum phishing scam detection via graph contrastive learning. - Hao Sui; Jiale Zhang 001; Bing Chen 002; Di Wu 050; Xiaobing Sun 001; Shivakumara Palaiahnakote (Expert Syst. Appl., 2025)

SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions. - Jiale Zhang 001; Ye Li; Di Wu 050; Yanchao Zhao; Shivakumara Palaiahnakote (Expert Syst. Appl., 2025)

Refining Water Body Extraction by Remote Sensing With Deep Learning Models: Exploring Different Band Combinations. - Ziheng Feng; Fei Zhang; Xu Ma; Chi-Yung Jim; Di Wu 050; Dong Liu; Saheed Adeyinka Oke; Weiwei Wang; Lifei Wei; Songlin Nie; Zhihui Li; Haowei Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey. - Wencheng Yang; Song Wang 003; Di Wu 050; Taotao Cai; Yanming Zhu 001; Shicheng Wei; Yiying Zhang 001; Xu Yang 002; Yan Li 002 (CoRR, 2025)

Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey. - Bosen Rao; Jiale Zhang 001; Di Wu 050; Chengcheng Zhu; Xiaobing Sun 001; Bing Chen 002 (IEEE Trans. Artif. Intell., 2025)

Non-IID Free Federated Learning With Fuzzy Optimization for Consumer Electronics Systems. - Jun Bai; Di Wu 050; Shan Zeng; Yao Zhao; Youyang Qu; Shui Yu 001 (IEEE Trans. Consumer Electron., 2025)

FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification. - Jun Bai; Rajib Rana; Di Wu 050; Youyang Qu; Xiaohui Tao; Ji Zhang (CoRR, 2025)

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks. - Kunhao Li; Di Wu 050; Jun Bai; Jing Xu; Lei Yang; Ziyi Zhang; Yiliao Song; Wencheng Yang; Taotao Cai; Yan Li 002 (CoRR, 2025)

FedMLC: White-Box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment. - Weitong Chen 002; Wei Zhang 098; Di Wu 050; Anja Keskinarkaus; Tapio Seppänen; Jiale Zhang 001; Longxiang Gao; Tom H. Luan (IEEE Internet Things J., 2025)

Deep learning model inversion attacks and defenses: a comprehensive survey. - Wencheng Yang; Song Wang 003; Di Wu 050; Taotao Cai; Yanming Zhu 001; Shicheng Wei; Yi-Ying Zhang 001; Xu Yang 002; Zhaohui Tang; Yan Li 002 (Artif. Intell. Rev., 2025)

A Comprehensive Survey on Machine Learning Driven Material Defect Detection. - Jun Bai; Di Wu 050; Tristan Shelley; Peter Schubel; David Twine; John Russell; Xuesen Zeng; Ji Zhang 001 (ACM Comput. Surv., 2025)