Di Wu

70 papers A* 5B 8Misc 3Journal 43Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Systematic Literature Review on Explainability for ML/DL-based Software Engineering.
ACM Comput. Surv.
Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2026 J jnl
A lightweight privacy-preserving fingerprint authentication system for IoT devices via pruned and secured minutia cylinder code.
J. Inf. Secur. Appl.
Wencheng Yang, Song Wang, Yan Li, Di Wu, Ji Zhang, Xu Yang
2026 A* conf
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models.
AAAI
Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue
2026 J jnl
Dynamic Generator: A Stealth-Preserving Generator-Based Data Poisoning Attack in Federated Learning With Defensive Countermeasures in IoT Systems.
IEEE Internet Things J.
Xiuheng Liao, Ziang Wu, Buzhen He, Hong Zhao, Shuai Shang, Di Wu, Chunhua Su
2026 J jnl
FiDD: Secure Fine-Grained Deduplication and Dynamic Auditing Scheme for Cloud Storage.
IEEE Trans. Netw.
Longxia Huang, Xue Mao, Lei Zhou, Di Wu, Longxiang Gao, Tom H. Luan
2026 J jnl
GIFSplat: Generative Prior-Guided Iterative Feed-Forward 3D Gaussian Splatting from Sparse Views.
CoRR
Tianyu Chen, Wei Xiang, Kang Han, Yu Lu, Di Wu, Gaowen Liu, Ramana Rao Kompella
2026 J jnl
GResMark: A swin transformer-based watermarking framework with geometric attack resilience.
Expert Syst. Appl.
Weitong Chen, Yuheng Li, Jiale Zhang, Chunpeng Ge, Di Wu, Willy Susilo, Shivakumara Palaiahnakote
2026 J jnl
LegiCode: A blockchain-legal LLM framework for real-time compliance in smart contract generation.
Empir. Softw. Eng.
Linkai Zhu, Xueyan Zhang, Zeyu Zhang, Di Wu, Longxiang Gao
2026 J jnl
Meta-FC: Meta-Learning with Feature Consistency for Robust and Generalizable Watermarking.
CoRR
Yuheng Li, Weitong Chen, Chengcheng Zhu, Jiale Zhang, Chunpeng Ge, Di Wu, Guodong Long
2026 A* conf
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery.
AAAI
Ju Jia, Jiansen Song, Jingxuan Yu, Jiabao Guo, Xiaoshuang Jia, Di Wu, Yali Yuan, Guang Cheng
2026 J jnl
Privacy-preserving federated SAR image target recognition with adaptive resource management in space-air-ground integrated networks.
Pattern Recognit.
Yuchao Hou, Bo Yu, Zhiqin Yang, Jie Wang, Wei Xiang, Di Wu, Minghui Liwang, Xiaoyu Xia, Zijian Li, Youliang Tian, Yuzhou Sun
2026 J jnl
Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery.
CoRR
Minh Kha Do, Wei Xiang, Kang Han, Di Wu, Khoa Phan, Yi-Ping Phoebe Chen, Gaowen Liu, Ramana Rao Kompella
2025 J jnl
A Comprehensive Survey on Machine Learning Driven Material Defect Detection.
ACM Comput. Surv.
Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang
2025 — conf
A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning.
KDD (2)
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li
2025 J jnl
Advancing DoA assessment through federated learning: A one-shot pseudo data approach.
Neurocomputing
Thomas Schmierer, Tianning Li, Di Wu, Yan Li
2025 A* conf
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
WWW
Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2025 J jnl
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models.
CoRR
Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue
2025 J jnl
Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey.
CoRR
Wencheng Yang, Song Wang, Di Wu, Taotao Cai, Yanming Zhu, Shicheng Wei, Yiying Zhang, Xu Yang, Yan Li
2025 J jnl
Deep learning model inversion attacks and defenses: a comprehensive survey.
Artif. Intell. Rev.
Wencheng Yang, Song Wang, Di Wu, Taotao Cai, Yanming Zhu, Shicheng Wei, Yi-Ying Zhang, Xu Yang, ZhaoHui Tang, Yan Li
2025 J jnl
EPAD: Ethereum phishing scam detection via graph contrastive learning.
Expert Syst. Appl.
Hao Sui, Jiale Zhang, Bing Chen, Di Wu, Xiaobing Sun, Shivakumara Palaiahnakote
2025 B conf
Enhancing Privacy in Face Recognition With Dual-Path Feature Compression and Homomorphic Encryption.
IJCB
Wencheng Yang, Song Wang, Di Wu, ZhaoHui Tang, Xu Yang, Hui Cui, Michael N. Johnstone, Yan Li
2025 J jnl
FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification.
CoRR
Jun Bai, Rajib Rana, Di Wu, Youyang Qu, Xiaohui Tao, Ji Zhang
2025 J jnl
FedMLC: White-Box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment.
IEEE Internet Things J.
Weitong Chen, Wei Zhang, Di Wu, Anja Keskinarkaus, Tapio Seppänen, Jiale Zhang, Longxiang Gao, Tom H. Luan
2025 J jnl
Federated Average Clustering Learning Based on Time-Asynchronous Similarity.
IEEE Trans. Big Data
Xiaoyao Zheng, Haonan Li, Di Wu, Tianran Bu, Peng Hu, Ji Zhang
2025 J jnl
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy.
CoRR
Ziheng Huang, Di Wu, Jun Bai, Jiale Zhang, Sicong Cao, Ji Zhang, Yingjie Hu
2025 J jnl
HgtJIT: Just-in-Time Vulnerability Detection Based on Heterogeneous Graph Transformer.
IEEE Trans. Dependable Secur. Comput.
Xiaobing Sun, Mingxuan Zhou, Sicong Cao, Xiaoxue Wu, Lili Bo, Di Wu, Bin Li, Yang Xiang
2025 J jnl
Machine Unlearning for Source-Free Unsupervised Partial-Domain Adaptation in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Jielong Yang, Peiran Li, Xialun Yun, Xionghu Zhong, Di Wu
2025 J jnl
Non-IID Free Federated Learning With Fuzzy Optimization for Consumer Electronics Systems.
IEEE Trans. Consumer Electron.
Jun Bai, Di Wu, Shan Zeng, Yao Zhao, Youyang Qu, Shui Yu
2025 J jnl
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey.
IEEE Trans. Artif. Intell.
Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing Chen
2025 — conf
Prompt as a Double-Edged Sword: A Dynamic Equilibrium Gradient-Assigned Attack against Graph Prompt Learning.
KDD (2)
Ju Jia, Jingxuan Yu, Di Wu, Cong Wu, Hengjie Zhu, Lina Wang
2025 J jnl
Refining Water Body Extraction by Remote Sensing With Deep Learning Models: Exploring Different Band Combinations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ziheng Feng, Fei Zhang, Xu Ma, Chi-Yung Jim, Di Wu, Dong Liu, Saheed Adeyinka Oke, Weiwei Wang, Lifei Wei, Songlin Nie, Zhihui Li, Haowei Xu
2025 J jnl
SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions.
Expert Syst. Appl.
Jiale Zhang, Ye Li, Di Wu, Yanchao Zhao, Shivakumara Palaiahnakote
2025 J jnl
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks.
CoRR
Kunhao Li, Di Wu, Jun Bai, Jing Xu, Lei Yang, Ziyi Zhang, Yiliao Song, Wencheng Yang, Taotao Cai, Yan Li
2024 J jnl
A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects.
CoRR
Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang
2024 J jnl
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR
Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2024 J jnl
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning.
CoRR
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li
2024 A* conf
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning.
IJCAI
Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long
2024 J jnl
Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.
CoRR
Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2024 J jnl
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks.
CoRR
Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long
2024 J jnl
EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices.
IEEE Internet Things J.
Sicong Cao, Xiaobing Sun, Wei Liu, Di Wu, Jiale Zhang, Yan Li, Tom H. Luan, Longxiang Gao
2024 A* conf
FedInverse: Evaluating Privacy Leakage in Federated Learning.
ICLR
Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
2024 J jnl
From Wide to Deep: Dimension Lifting Network for Parameter-Efficient Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Borui Cai, Yong Xiang, Longxiang Gao, Di Wu, He Zhang, Jiong Jin, Tom H. Luan
2023 J jnl
Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things.
J. Inf. Secur. Appl.
Nai Wang, Junjun Chen, Di Wu, Wencheng Yang, Yong Xiang, Atul Sajjanhar
2023 J jnl
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.
Digit. Commun. Networks
Jiale Zhang, Yue Liu, Di Wu, Shuai Lou, Bing Chen, Shui Yu
2022 B conf
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning.
IJCNN
Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao
2022 B conf
Campus Network Intrusion Detection based on Federated Learning.
IJCNN
Junjun Chen, Qiang Guo, Zhongnan Fu, Qun Shang, Hao Ma, Di Wu
2022 J jnl
Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.
Concurr. Comput. Pract. Exp.
Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Michael Blumenstein, Shui Yu
2022 J jnl
From distributed machine learning to federated learning: In the view of data privacy and security.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2021 — conf
Defending against Membership Inference Attacks in Federated learning via Adversarial Example.
MSN
Yuanyuan Xie, Bing Chen, Jiale Zhang, Di Wu
2021 J jnl
Fooling intrusion detection systems using adversarially autoencoder.
Digit. Commun. Networks
Junjun Chen, Di Wu, Ying Zhao, Nabin Sharma, Michael Blumenstein, Shui Yu
2020 — conf
Defending Poisoning Attacks in Federated Learning via Adversarial Training Method.
FCS
Jiale Zhang, Di Wu, Chengyong Liu, Bing Chen
2020 J jnl
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security.
CoRR
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2020 — conf
Network Anomaly Detection Using Federated Learning and Transfer Learning.
SPDE
Ying Zhao, Junjun Chen, Qianling Guo, Jian Teng, Di Wu
2019 — conf
A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.
ICA3PP (1)
Zhen Cheng, Jiale Zhang, Hongyan Qian, Mingrong Xiang, Di Wu
2019 B conf
Adversarial Action Data Augmentation for Similar Gesture Action Recognition.
IJCNN
Di Wu, Junjun Chen, Nabin Sharma, Shirui Pan, Guodong Long, Michael Blumenstein
2019 B conf
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods.
IJCNN
Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein
2019 — conf
Multi-Task Network Anomaly Detection using Federated Learning.
SoICT
Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Shui Yu
2019 J jnl
Network Anomaly Detection by Using a Time-Decay Closed Frequent Pattern.
Inf.
Ying Zhao, Junjun Chen, Di Wu, Jian Teng, Nabin Sharma, Atul Sajjanhar, Michael Blumenstein
2019 — conf
PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.
ICA3PP (1)
Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Jian Teng, Shui Yu
2019 — conf
Poisoning Attack in Federated Learning using Generative Adversarial Nets.
TrustCom/BigDataSE
Jiale Zhang, Junjun Chen, Di Wu, Bing Chen, Shui Yu
2019 — —
Video-based similar gesture action recognition using deep learning and GAN-based approaches
Di Wu
2018 Misc conf
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition.
IVCNZ
Di Wu, Nabin Sharma, Michael Blumenstein
2018 J jnl
Robust Feature-Based Automated Multi-View Human Action Recognition System.
IEEE Access
Kuang-Pen Chou, Mukesh Prasad, Di Wu, Nabin Sharma, Dong-Lin Li, Yu-Feng Lin, Michael Blumenstein, Wen-Chieh Lin, Chin-Teng Lin
2018 Misc conf
Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos.
DICTA
Di Wu, Nabin Sharma, Michael Blumenstein
2017 B conf
Recent advances in video-based human action recognition using deep learning: A review.
IJCNN
Di Wu, Nabin Sharma, Michael Blumenstein
2015 J jnl
Detecting stepping stones by abnormal causality probability.
Secur. Commun. Networks
Sheng Wen, Di Wu, Ping Li, Yang Xiang, Wanlei Zhou, Guiyi Wei
2014 B conf
On Addressing the Imbalance Problem: A Correlated KNN Approach for Network Traffic Classification.
NSS
Di Wu, Xiao Chen, Chao Chen, Jun Zhang, Yang Xiang, Wanlei Zhou
2013 — conf
Detecting Stepping Stones by Abnormal Causality Probability.
CSS
Sheng Wen, Ping Li, Di Wu, Yang Xiang, Wanlei Zhou
2011 B conf
A Survey on Latest Botnet Attack and Defense.
TrustCom
Lei Zhang, Shui Yu, Di Wu, Paul A. Watters
2004 Misc conf
Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis.
IC-AI
Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra