| 2026 | ICCBR | CBR-PAR: LLM-Augmented Case-Based Reasoning for Provenance-Based Alert Reduction. | Canhua Chen, Yaqin Cao, Xinyu Li, Baihang Liu, Yongjun Wang, Xiaoyu Wang, Qixu Liu |
| 2026 | SP | Euston: Efficient and User-Friendly Secure Transformer Inference with Non-Interactivity. | Xinwen Gao, Shaojing Fu, Lin Liu, Zhuotao Liu, Yuchuan Luo, Yongjun Wang |
| 2025 | CCS | MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis. | Luming Yang, Lin Liu, Junjie Huang, Zhuotao Liu, Shiyu Liang, Shaojing Fu, Yongjun Wang |
| 2025 | DSN | SemiAF: Semi-Supervised App Fingerprinting on Unknown Traffic via Graph Neural Network. | Xiaodong Lei, Yongjun Wang, Lin Liu, Jun-Jie Huang, Jiangyong Shi, Luming Yang |
| 2025 | ICASSP | Graph Structure Learning via Transfer Entropy for Multivariate Time Series Anomaly Detection. | Mingyu Liu, Yijie Wang, Xiaohui Zhou, Yongjun Wang |
| 2025 | IJCAI | MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation. | Chengyi Li, Zhiyuan Jiang, Yongjun Wang, Tian Xia, Yayuan Zhang, Yuhang Mao |
| 2025 | TrustCom | LLM-Guided Mutation Location Selection for Vulnerability-Aware JavaScript Engine Fuzzing. | Jizhe Li, Yongjun Wang, Haoran Xu, Lin Peng, Muxin Xu, Tian Xia |
| 2024 | CCS | Fuzzing JavaScript Engines with a Graph-based IR. | Haoran Xu, Zhiyuan Jiang, Yongjun Wang, Shuhui Fan, Shenglin Xu, Peidai Xie, Shaojing Fu, Mathias Payer |
| 2024 | ICA3PP | FedSV: A Privacy-Preserving Byzantine-Robust Federated Learning Scheme with Self-validation. | Wenhao Jiang, Shaojing Fu, Yuchuan Luo, Lin Liu, Yongjun Wang |
| 2024 | ICRA | Learning Dual-arm Object Rearrangement for Cartesian Robots. | Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, Yongjun Wang, Ruizhen Hu, Kai Xu |
| 2024 | ICTAI | NNTailor: A Neural Network-Driven Fuzzer for DataBase Management Systems. | Shutao Chu, Yongjun Wang, Haoran Xu, Zhiyuan Jiang, Yongxin Chen |
| 2024 | ISSRE | S2Vul: Vulnerability Analysis Based on Self-supervised Information Integration. | Shaojie Yang, Haoran Xu, Fangliang Xu, Yongjun Wang |
| 2024 | IWQoS | ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features. | Luming Yang, Yongjun Wang, Lin Liu, Junjie Huang, Shaojing Fu |
| 2023 | ICASSP | Smoothing Point Adjustment-Based Evaluation of Time Series Anomaly Detection. | Mingyu Liu, Yijie Wang, Hongzuo Xu, Xiaohui Zhou, Bin Li, Yongjun Wang |
| 2023 | IPCCC | TBP: Tree structure Burst-sequence Padding Defense Against Website Fingerprinting. | Yankun Wang, Yongjun Wang, Jun-Jie Huang, Yongxin Chen |
| 2023 | SECON | EVS2vec: A Low-dimensional Embedding Method for Encrypted Video Stream Analysis. | Luming Yang, Yongjun Wang, Shaojing Fu, Lin Liu, Yuchuan Luo |
| 2022 | IPCCC | TForm-RF: An Efficient Data Augmentation for Website Fingerprinting Attack. | Yongxin Chen, Yongjun Wang, Lumming Yang, Yuchuan Luo, Mantun Chen |
| 2021 | ICPADS | Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data. | Zhongyang Wang, Yijie Wang, Hongzuo Xu, Yongjun Wang |
| 2021 | IJCNN | Integrating Argument-Level Attention with Multi-Level Scores to Predict What Happen Next. | Zhenyu Huang, Yongjun Wang, Hongzuo Xu, Songlei Jian |
| 2021 | ISPA | Entropy and Autoencoder-Based Outlier Detection in Mixed-Type Network Traffic Data. | Zhongyang Wang, Yijie Wang, Zhenyu Huang, Yongjun Wang |
| 2021 | ISPA | Packet-Sequence and Byte-Distribution is Enough for Real-Time Identification of Application Traffic. | Luming Yang, Shaojing Fu, Yongjun Wang, Chao Li, Shanghuai Feng, Yuchuan Luo, Lin Liu |
| 2021 | WWW | Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. | Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li |
| 2021 | UIC | Implanting Domain Knowledge into Feature Selection for Effective Outlier Detection in Network Traffic Data. | Zhongyang Wang, Yijie Wang, Yongjun Wang |
| 2020 | ICA3PP | Tree2tree Structural Language Modeling for Compiler Fuzzing. | Haoran Xu, Shuhui Fan, Yongjun Wang, Zhijian Huang, Hongzuo Xu, Peidai Xie |
| 2020 | IJCNN | DSmith: Compiler Fuzzing through Generative Deep Learning Model with Attention. | Haoran Xu, Yongjun Wang, Shuhui Fan, Peidai Xie, Aizhi Liu |
| 2020 | TASE | AT-ROP: Using static analysis and binary patch technology to defend against ROP attacks based on return instruction. | Shenglin Xu, Peidai Xie, Yongjun Wang |
| 2019 | AAAI | Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data. | Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang |
| 2019 | ICDM | MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data. | Hongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu |
| 2018 | ACISP | Asymmetric Subversion Attacks on Signature Schemes. | Chi Liu, Rongmao Chen, Yi Wang, Yongjun Wang |
| 2018 | CIKM | Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data. | Hongzuo Xu, Yongjun Wang, Li Cheng, Yijie Wang, Xingkong Ma |
| 2018 | DEXA | Combine Value Clustering and Weighted Value Coupling Learning for Outlier Detection in Categorical Data. | Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Xingkong Ma, Zhiquan Qin |
| 2016 | TrustCom | GSLAC: A General Scalable and Low-Overhead Alert Correlation Method. | Li Cheng, Yijie Wang, Xingkong Ma, Yongjun Wang |
| 2012 | MASS | Collaborative detection of DDoS attacks based on chord protocol. | Zilong Han, Xiaofeng Wang, Fei Wang, Yongjun Wang |
| 2012 | SECRYPT | Self-ad-MCNHA-SLOS - A Self-adaptive Minimum-Cost Network Hardening Algorithm based on Stochastic Loose Optimize Strategy. | Yonglin Sun, Yongjun Wang, Yi Zhang |
| 2007 | SMC | Using genetic algorithms to predict financial performance --Evidence from China. | Yanxia Jiang, Dagang Ke, Yongjun Wang, Lida Xu |
| 2006 | WEBIST | Research and Implementation of MPLS VPN Protocol Based on Network Processor. | Yongjun Wang, QingYuan Huang |