| 2026 | KSEM | Unsupervised Adversarial Examples Detection in Modulation Classification via Model Explanations. | Yunzhe Tian, Dianjing Cheng, Xinyi Zhao, Xingyu Wu, Yike Li, Wenjia Niu, Jiqiang Liu |
| 2025 | DSN | Automatically Generating Rules of Malicious Software Packages via Large Language Model. | XiangRui Zhang, XueJie Du, Haoyu Chen, Yongzhong He, Wenjia Niu, Qiang Li |
| 2025 | DSN | An Analysis of Malicious Packages in Open-Source Software in the Wild. | Xiaoyan Zhou, Ying Zhang, Wenjia Niu, Jiqiang Liu, Haining Wang, Qiang Li |
| 2025 | KSEM | Hierarchical Data Protection Based on Homomorphic Encryption Algorithm. | Jia Zhao, Yanchun Wang, Wenhao Leng, Yaqin Chu, Zhouhan Chen, Yuqing Sang, Feng Yi, Wenjia Niu |
| 2024 | ADMA | ECG Signal Classification with a Multi-stage Model Integrating CNN, SNN, and ResNet. | Xiangyu Shi, Dianjing Cheng, Xingyu Wu, Ping Ye, Jingqi Jia, Jiqiang Liu, Wenjia Niu |
| 2024 | ADMA | Nightfall Deception: A Novel Backdoor Attack on Traffic Sign Recognition Models via Low-Light Data Manipulation. | Yalun Wu, Qiong Li, Yingxiao Xiang, Jinkai Zheng, Xingyu Wu, Zhen Han, Jiqiang Liu, Wenjia Niu |
| 2024 | EMNLP | Visual Prompting in LLMs for Enhancing Emotion Recognition. | Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Wenjia Niu, Sabrina B. Caldwell, Tom Gedeon, Yang Liu, Zhenyue Qin |
| 2024 | KSEM | Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks Against Lane Detection Models. | Xiaoshu Cui, Yalun Wu, Yanfeng Gu, Qiong Li, Endong Tong, Jiqiang Liu, Wenjia Niu |
| 2024 | KSEM | Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. | Jiayin Song, Yike Li, Yunzhe Tian, Xingyu Wu, Qiong Li, Endong Tong, Wenjia Niu, Zhenguo Zhang, Jiqiang Liu |
| 2023 | IJCAI | Robust Reinforcement Learning via Progressive Task Sequence. | Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2023 | ISSRE | Mitigating Overfitting for Deep Learning-based Aging-related Bug Prediction via Brain-inspired Regularization in Spiking Neural Networks. | Yunzhe Tian, Yike Li, Kang Chen, Endong Tong, Wenjia Niu, Jiqiang Liu, Fangyun Qin, Zheng Zheng |
| 2022 | ICPADS | Efficient-HotStuff: A BFT Blockchain Consensus with Higher Efficiency and Stronger Robustness. | Di Zhai, Jian Wang, Jiqiang Liu, Tianhao Liu, Wenjia Niu |
| 2021 | HPCC | Blockchain-based decentralized federated learning: A secure and privacy-preserving system. | Shuang Zhao, Yalun Wu, Rui Sun, Xiaoai Qian, Dong Zi, Zhiqiang Xie, Endong Tong, Wenjia Niu, Jiqiang Liu, Zhen Han |
| 2021 | ICA3PP | Security Analysis of Poisoning Attacks Against Multi-agent Reinforcement Learning. | Zhiqiang Xie, Yingxiao Xiang, Yike Li, Shuang Zhao, Endong Tong, Wenjia Niu, Jiqiang Liu, Jian Wang |
| 2021 | ICICS | Improving Convolutional Neural Network-Based Webshell Detection Through Reinforcement Learning. | Yalun Wu, Minglu Song, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Bowei Jia, Haixiang Huang, Qiong Li, Jiqiang Liu |
| 2021 | SRDS | Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. | Tong Chen, Yingxiao Xiang, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu, Gang Li, Qi Alfred Chen |
| 2020 | ICPADS | Exploring Data Correlation between Feature Pairs for Generating Constraint-based Adversarial Examples. | Yunzhe Tian, Yingdi Wang, Endong Tong, Wenjia Niu, Liang Chang, Qi Alfred Chen, Gang Li, Jiqiang Liu |
| 2020 | ICPADS | Explainable Congestion Attack Prediction and Software-level Reinforcement in Intelligent Traffic Signal System. | Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Jiqiang Liu |
| 2020 | ISPA | Constructing Optimal Sparse Decision Tree for Analying I-SIG System Attack. | Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Qi Alfred Chen, Gang Li, Jiqiang Liu, Long Li |
| 2020 | VECoS | A C-IFGSM Based Adversarial Approach for Deep Learning Based Intrusion Detection. | Yingdi Wang, Yixiang Wang, Endong Tong, Wenjia Niu, Jiqiang Liu |
| 2017 | ICICS | A Cross-Modal CCA-Based Astroturfing Detection Approach. | XiaoXuan Bai, Yingxiao Xiang, Wenjia Niu, Jiqiang Liu, Tong Chen, Jingjing Liu, Tong Wu |
| 2017 | ICICS | A Method to Effectively Detect Vulnerabilities on Path Planning of VIN. | Jingjing Liu, Wenjia Niu, Jiqiang Liu, Jia Zhao, Tong Chen, Yinqi Yang, Yingxiao Xiang, Lei Han |
| 2017 | KSEM | A Hidden Astroturfing Detection Approach Base on Emotion Analysis. | Tong Chen, Noora Hashim Alallaq, Wenjia Niu, Yingdi Wang, XiaoXuan Bai, Jingjing Liu, Yingxiao Xiang, Tong Wu, Jiqiang Liu |
| 2017 | KSEM | Beyond the Aggregation of Its Members - A Novel Group Recommender System from the Perspective of Preference Distribution. | Zhiwei Guo, Chaowei Tang, Wenjia Niu, Yunqing Fu, Haiyang Xia, Hui Tang |
| 2016 | IJCNN | Riemannian optimization with subspace tracking for low-rank recovery. | Qian Li, Wenjia Niu, Gang Li, Jianlong Tan, Gang Xiong, Li Guo |
| 2015 | CIKM | Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation. | Cuicui Kang, Shengcai Liao, Yonghao He, Jian Wang, Wenjia Niu, Shiming Xiang, Chunhong Pan |
| 2015 | CIKM | Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. | Qian Li, Wenjia Niu, Gang Li, Yanan Cao, Jianlong Tan, Li Guo |
| 2015 | KSEM | Two-Phased Event Causality Acquisition: Coupling the Boundary Identification and Argument Identification Approaches. | Yanan Cao, Cungen Cao, Jingzun Zhang, Wenjia Niu |
| 2014 | ICDM | Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. | Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo |
| 2014 | PRICAI | Privacy Preserving in Location Data Release: A Differential Privacy Approach. | Ping Xiong, Tianqing Zhu, Lei Pan, Wenjia Niu, Gang Li |
| 2013 | PAKDD | An Actor Network-Based Approach to Pirates Community Discovery in Peer-to-Peer Network. | Xiancheng Hou, Bing Shi, Wenjia Niu, Qi Feng, Ying Qi |
| 2013 | PAKDD | Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks. | Benke Qu, Wenjia Niu, Tianqing Zhu, Lei Wu, Shijun Liu, Na Wang |
| 2012 | GLOBECOM | Aggregating user rating and service context for WSN service ranking. | Jun Lei, Wenjia Niu, Yifang Qin, Hui Tang, Song Ci |
| 2012 | ICCSA | A Reference Model for Virtual Resource Description and Discovery in Virtual Networks. | Yuemei Xu, Yanni Han, Wenjia Niu, Yang Li, Tao Lin, Song Ci |
| 2012 | PRICAI | Hierarchical Workflow Management in Wireless Sensor Network. | Endong Tong, Wenjia Niu, Gang Li, Hui Tang, Ding Tang, Song Ci |
| 2011 | ICSOC | Reasoning-Based Context-Aware Workflow Management in Wireless Sensor Network. | Endong Tong, Wenjia Niu, Hui Tang, Gang Li, Zhijun Zhao |
| 2009 | GRC | Facilitating dynamic web service composition with fine-granularity context management. | Wenjia Niu, Gang Li, Xinghua Yang, Xu Han, Zhongzhi Shi |
| 2008 | ICNC | Improving Grade Match to Value Match for Semantic Web Service Discovery. | Hui Peng, Zhongzhi Shi, Liang Chang, Wenjia Niu |
| 2008 | ICWS | A DDL-Based Model for Web Service Composition in Context-Aware Environment. | Wenjia Niu, Zhongzhi Shi, Changlin Wan, Liang Chang, Hui Peng |
| 2008 | PRICAI | Semantic Filtering for DDL-Based Service Composition. | Wenjia Niu, Zhongzhi Shi, Peng Cao, Hui Peng, Liang Chang |