| 2024 | ICRA | A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing. | Wei Kong, Hu Li, Qianjin Du, Huayang Cao, Xiaohui Kuang |
| 2023 | APNOMS | Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN. | Wei Kong, Qianjin Du, Huayang Cao, Hu Li, Tong Wang, Jianwen Tian, Xiaohui Kuang |
| 2023 | DASFAA | Fine-Grained Software Vulnerability Detection via Neural Architecture Search. | Qianjin Du, Xiaohui Kuang, Xiang Li, Gang Zhao |
| 2023 | EMNLP | Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. | Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai |
| 2023 | ISCC | Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. | Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, Gang Zhao |
| 2022 | AAAI | Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. | Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | EMNLP | Code Vulnerability Detection via Nearest Neighbor Mechanism. | Qianjin Du, Xiaohui Kuang, Gang Zhao |
| 2018 | SENSYS | Attention-based LSTM-CNNs For Time-series Classification. | Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang |