| 2026 | AAAI | GARNET: GoT-Based Alert Reduction and Narrative Event Tracing. | Yiru Gong, Song Liu, Changzhi Zhao, Junrong Liu, Tian Tian, Xiaobo Yang, Bo Jiang, Zhigang Lu |
| 2026 | AAAI | Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach. | Chaoqi Jia, Longkun Guo, Kewen Liao, Zhigang Lu, Chao Chen, Jason Xue |
| 2026 | AAAI | Optimized Algorithms for Text Clustering with LLM-Generated Constraints. | Chaoqi Jia, Weihong Wu, Longkun Guo, Zhigang Lu, Chao Chen, Kok-Leong Ong |
| 2026 | AAAI | Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic. | Wenhao Yan, Ning An, Wei Qiao, Weiheng Wu, Zhigang Lu, Bo Jiang, Baoxu Liu, Junrong Liu |
| 2026 | ACISP | TIDE: Making Task-Agnostic Backdoors Harder to Erase in Pre-trained Language Models. | Yan Meng, Zhigang Lu, Bing Li, Anan Du, Shuchao Pang |
| 2026 | ACISP | SoK: Telemetry-Aware Runtime Assurance for Always-On On-device Intrusion Detection. | Nuonan Ouyang, Adrian Shatte, Zhigang Lu, Chao Chen, Wei Xiang |
| 2026 | ICCS | Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection. | Boyuan Xu, Yun Li, Yiru Gong, Linxu Li, Chen Zhang, Tian Tian, Bo Jiang, Zhigang Lu |
| 2026 | WWW | Forge: A Robust Multi-tab Website Fingerprinting Attack via Blind Source Separation. | Yitan Huang, Wei Qiao, Ding Wang, Meng Shen, Di Zhao, Linxu Li, Susu Cui, Bo Jiang, Zhigang Lu, Baoxu Liu |
| 2025 | ADMA | LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification. | Hanwen Zhang, Qingyi Si, Peng Fu, Zheng Lin, Zhigang Lu, Weiping Wang |
| 2025 | CSCWD | Cross Page Recognition Methods for Encrypted Web Application Fingerprinting. | Zelin Cui, Pu Dong, Dongxu Han, Bo Jiang, Zhigang Lu, Huamin Feng |
| 2025 | CSCWD | Dynamic Behavior-Based Detection Techniques for Encrypted Variant Webshells. | Zelin Cui, Ning Li, Pu Dong, Mengchuan Shang, Bo Jiang, Zhigang Lu, Huamin Feng |
| 2025 | CSCWD | SiamEHGT: An Evolving Heterogeneous Graph Transformer for Insider Threat Detection based on Siamese Architecture. | Yinhao Qi, Ning An, Zehui Wang, Yuan Yao, Chen Zhang, Yan Zhu, Zhigang Lu |
| 2025 | CSCWD | MPKAN: APT Attack Detection on Audit Logs via Graph Semantic Enhancement. | Zehui Wang, Dan Du, Yinhao Qi, Wenhao Yan, Xiaobo Yang, Bo Jiang, Zhigang Lu |
| 2025 | CSCWD | Autumn: An Unsupervised APT Detection via Detailed Process-Level Analysis. | Zehui Wang, Yunxiang Wang, Wenhao Yan, Yinhao Qi, Tian Tian, Bo Jiang, Zhigang Lu |
| 2025 | ICASSP | DCASI: A Sequence-based Attack Investigation Method Using DTW Contrastive Learning. | Yun Li, Wei Qiao, Yan Zhu, Yunxiang Wang, Bo Jiang, Zhigang Lu |
| 2025 | IJCNN | CotexFinger: Enhancing IoT Device Identification with Context-Packet Fingerprinting and Lightweight Mamba. | Junjie Yang, Xiu Zhang, Zelin Cui, Bo Jiang, Zhigang Lu, Huamin Feng |
| 2025 | NDSS | GAP-Diff: Protecting JPEG-Compressed Images from Diffusion-based Facial Customization. | Haotian Zhu, Shuchao Pang, Zhigang Lu, Yongbin Zhou, Minhui Xue |
| 2025 | RAID | Reconstruction of Differentially Private Text Sanitization via Large Language Models. | Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue |
| 2025 | SMC | An Approach for Attack Chain Context Inference and Completion Based on Large Language Models. | Dan Du, Changzhi Zhao, Yunpeng Li, Dongxu Han, Ning Li, Yuling Liu, Bo Jiang, Zhigang Lu |
| 2025 | WWW | Brewing Vodka: Distilling Pure Knowledge for Lightweight Threat Detection in Audit Logs. | Weiheng Wu, Wei Qiao, Wenhao Yan, Bo Jiang, Yuling Liu, Baoxu Liu, Zhigang Lu, Junrong Liu |
| 2025 | TrustCom | TCP-Awareness Augmented Robust TLS Traffic Classification: A Hybrid Deep Learning Approach. | Yewa Li, Yitan Huang, Bo Jiang, Zhigang Lu, Zelin Cui |
| 2024 | AAAI | Efficient Constrained K-center Clustering with Background Knowledge. | Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue |
| 2024 | CSCWD | HBGraph: a Host Behavior Graph Model for C&C Traffic Detection. | Yitan Huang, Jian Qin, Zelin Cui, Ning Li, Bo Jiang, Zhigang Lu |
| 2024 | CSCWD | Deep Dive into Insider Threats: Malicious Activity Detection within Enterprise. | Haitao Xiao, Dan Du, Junrong Liu, Song Liu, Yan Zhu, Yuling Liu, Zhigang Lu |
| 2024 | WWW | ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. | Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu |
| 2024 | TrustCom | LSTM-Diff: A Data Generation Method for Imbalanced Insider Threat Detection. | Tian Tian, Yan Zhu, Ning An, Bo Jiang, Huamin Feng, Zhigang Lu |
| 2024 | Tencon | Research on Ridge-Enhanced Flatted Grating Folded Waveguide SWS for G-Band TWT. | Jingrui Duan, Zhigang Lu, Peng Gao, Jingyu Guo, Yang Dong, CaiDong Xiong, Yuan Zheng, Zhanliang Wang, Shaomeng Wang, Huarong Gong, Yubin Gong |
| 2023 | HPCC | HLMD: Detecting Lateral Movement Using Heterogeneous Graph Model. | Yiru Gong, Xueying Han, Dan Du, Xichen Du, Bo Jiang, Tian Tian, Zhigang Lu |
| 2023 | TrustCom | Insider Threat Detection Based On Heterogeneous Graph Neural Network. | Tian Tian, Yiru Gong, Bo Jiang, Junrong Liu, Huamin Feng, Zhigang Lu |
| 2022 | FedCSIS | An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting. | Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu |
| 2022 | SecureComm | CapsITD: Malicious Insider Threat Detection Based on Capsule Neural Network. | Haitao Xiao, Chen Zhang, Song Liu, Bo Jiang, Zhigang Lu, Fei Wang, Yuling Liu |
| 2021 | CCS | TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. | Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue |
| 2021 | HPCC | BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement. | Cong Dong, Yufan Chen, Yunjian Zhang, Yuling Liu, Zhigang Lu, Pu Dong, Baoxu Liu |
| 2021 | SECRYPT | Trace Recovery: Inferring Fine-grained Trace of Energy Data from Aggregates. | Nazim Uddin Sheikh, Zhigang Lu, Hassan Asghar, Mohamed Ali Kafar |
| 2020 | ICCS | Social Recommendation in Heterogeneous Evolving Relation Network. | Bo Jiang, Zhigang Lu, Yuling Liu, Ning Li, Zelin Cui |
| 2020 | ICCS | Malicious Domain Detection Based on K-means and SMOTE. | Qing Wang, Linyu Li, Bo Jiang, Zhigang Lu, Junrong Liu, Shijie Jian |
| 2020 | NPC | MTLAT: A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER. | Yaopeng Han, Zhigang Lu, Bo Jiang, Yuling Liu, Chen Zhang, Zhengwei Jiang, Ning Li |
| 2020 | TrustCom | STIDM: A Spatial and Temporal Aware Intrusion Detection Model. | Xueying Han, Rongchao Yin, Zhigang Lu, Bo Jiang, Yuling Liu, Song Liu, Chonghua Wang, Ning Li |
| 2019 | COMPSAC | Dockerfile TF Smell Detection Based on Dynamic and Static Analysis Methods. | Jiwei Xu, Yuewen Wu, Zhigang Lu, Tao Wang |
| 2019 | DASFAA | Retweeting Prediction Using Matrix Factorization with Binomial Distribution and Contextual Information. | Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Feng Yi, Dongxu Han |
| 2019 | HPCC | A Session-Packets-Based Encrypted Traffic Classification Using Capsule Neural Networks. | Susu Cui, Bo Jiang, Zhenzhen Cai, Zhigang Lu, Song Liu, Jian Liu |
| 2019 | ICCS | Mention Recommendation with Context-Aware Probabilistic Matrix Factorization. | Bo Jiang, Zhigang Lu, Ning Li, Zelin Cui |
| 2019 | ICCS | Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection. | Yepeng Yao, Liya Su, Chen Zhang, Zhigang Lu, Baoxu Liu |
| 2019 | IJCNN | isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting. | Zhenzhen Cai, Bo Jiang, Zhigang Lu, Junrong Liu, Pingchuan Ma |
| 2019 | IECON | Harmonic Model and Propagation in Power System: A Review. | Yan Li, Wei Wang, Bo Yuwen, Sanmin Wei, Weifeng Su, Zhigang Lu |
| 2019 | KSEM | PRTIRG: A Knowledge Graph for People-Readable Threat Intelligence Recommendation. | Ming Du, Jun Jiang, Zhengwei Jiang, Zhigang Lu, Xiangyu Du |
| 2019 | KSEM | Retweet Prediction Using Context-Aware Coupled Matrix-Tensor Factorization. | Bo Jiang, Feng Yi, Jianjun Wu, Zhigang Lu |
| 2019 | PAKDD | A Convergent Differentially Private k-Means Clustering Algorithm. | Zhigang Lu, Hong Shen |
| 2019 | PDCAT | A Temporal Caching-Aware Dummy Selection Location Algorithm. | Xuejiao Mu, Hong Shen, Zhigang Lu |
| 2019 | TrustCom | Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection. | Liya Su, Yepeng Yao, Zhigang Lu, Baoxu Liu |
| 2019 | TrustCom | STDeepGraph: Spatial-Temporal Deep Learning on Communication Graphs for Long-Term Network Attack Detection. | Yepeng Yao, Liya Su, Zhigang Lu, Baoxu Liu |
| 2018 | ICCS | Retweet Prediction Using Social-Aware Probabilistic Matrix Factorization. | Bo Jiang, Zhigang Lu, Ning Li, Jianjun Wu, Zhengwei Jiang |
| 2018 | ISPA | A Novel Approach for Identifying Lateral Movement Attacks Based on Network Embedding. | Mingyi Chen, Yepeng Yao, Junrong Liu, Bo Jiang, Liya Su, Zhigang Lu |
| 2018 | TrustCom | Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection. | Liya Su, Yepeng Yao, Ning Li, Junrong Liu, Zhigang Lu, Baoxu Liu |
| 2017 | COMPSAC | RefCRE: A Reference Count Based Rewriting Framework for VM Image Restoration. | Jiwei Xu, Xiaozhao Xing, Tao Wang, Zhigang Lu, Wenbo Zhang |
| 2017 | PAKDD | Secured Privacy Preserving Data Aggregation with Semi-honest Servers. | Zhigang Lu, Hong Shen |
| 2017 | PDCAT | A New Lower Bound of Privacy Budget for Distributed Differential Privacy. | Zhigang Lu, Hong Shen |
| 2015 | IDEAS | A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm. | Zhigang Lu, Hong Shen |
| 2008 | ICNC | A Fuzzy Neural Network Based E-Commerce Reputation Estimation Model. | Zhigang Lu, Hong Mu |
| 2008 | ISKE | Power system reactive power optimization based on direct neural dynamic programming. | Zhigang Lu, Liye Ma |