Attention-based LSTM-CNNs For Time-series Classification. - Qianjin Du; Weixi Gu; Lin Zhang 001; Shao-Lun Huang (SenSys, 2018)

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 (AAAI, 2022)

Code Vulnerability Detection via Nearest Neighbor Mechanism. - Qianjin Du; Xiaohui Kuang; Gang Zhao (EMNLP (Findings), 2022)

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 (APNOMS, 2023)

Fine-Grained Software Vulnerability Detection via Neural Architecture Search. - Qianjin Du; Xiaohui Kuang; Xiang Li 078; Gang Zhao (DASFAA (4), 2023)

Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. - Qianjin Du; Shiji Zhou; Xiaohui Kuang; Gang Zhao; Jidong Zhai (EMNLP, 2023)

Automated Software Vulnerability Detection via Curriculum Learning. - Qianjin Du; Wei Kun; Xiaohui Kuang; Xiang Li 078; Gang Zhao (ICME, 2023)

Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. - Tong Wang 042; Xiaohui Kuang; Hu Li; Qianjin Du; Zhanhao Hu; Huan Deng; Gang Zhao (ISCC, 2023)

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 (ICRA, 2024)

Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection. - Jingjing Wang; Minhuan Huang; Yuanping Nie; Xiang Li 078; Qianjin Du; Wei Kong; Huan Deng; Xiaohui Kuang (NeurIPS, 2024)