Generating Highly Structured Inputs: A Survey. - Yabin Li; Yinfan Qin; Jianwen Tian; Taotao Gu; Yuanping Nie; Xiaohui Kuang (DSC, 2021)

Gradient-oriented gray-box protocol fuzzing. - Yinfan Qin; Xiang Li 078; Jianwen Tian; Taotao Gu; Xiaohui Kuang (DSC, 2021)

Group-based corpus scheduling for parallel fuzzing. - Taotao Gu; Xiang Li 078; Shuaibing Lu; Jianwen Tian; Yuanping Nie; Xiaohui Kuang; Zhechao Lin; Chenyifan Liu; Jie Liang 006; Yu Jiang 001 (ESEC/SIGSOFT FSE, 2022)

Survey on Fuzzing Techniques in Deep Learning Libraries. - Jiahe Ji; Wei Kong; Jianwen Tian; Taotao Gu; Yuanping Nie; Xiaohui Kuang (DSC, 2023)

Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. - Tong Wang 042; Xiaohui Kuang; Huan Deng; Taotao Gu; Wei Kong; Jianwen Tian; Gang Zhao (IJCNN, 2023)

Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. - Tong Wang 042; Taotao Gu; Huan Deng; Hu Li; Xiaohui Kuang; Gang Zhao (ISSTA, 2024)

Enhancing Adversarial Robustness through Self-Supervised Confidence-Based Denoising. - Yongkang Chen; Tong Wang 042; Wei Kong; Taotao Gu; Guiling Cao; Xiaohui Kuang (TrustCom, 2024)

Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. - Tong Wang; Taotao Gu; Huan Deng; Hu Li; Xiaohui Kuang; Gang Zhao (CoRR, 2024)

Density Boosts Everything: A One-stop Strategy for Improving Performance, Robustness, and Sustainability of Malware Detectors. - Jianwen Tian; Wei Kong; Debin Gao; Tong Wang; Taotao Gu; Kefan Qiu; Zhi Wang 014; Xiaohui Kuang (NDSS, 2025)