Generating More Effective and Imperceptible Adversarial Text Examples for Sentiment Classification. - Xiaohu Du; Zibo Yi; Shasha Li 001; Jun Ma 015; Jie Yu 008; Yusong Tan; Qinbo Wu (ICAIS (1), 2020)

Combating Word-level Adversarial Text with Robust Adversarial Training. - Xiaohu Du; Jie Yu 008; Shasha Li 001; Zibo Yi; Hai Liu; Jun Ma 015 (IJCNN, 2021)

An Extensive Study on Adversarial Attack against Pre-trained Models of Code. - Xiaohu Du; Ming Wen 001; Zichao Wei; Shangwen Wang; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems. - Xiaohu Du; Xiao Chen; Jialun Cao; Ming Wen 001; Shing-Chi Cheung; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. - Xiaohu Du; Ming Wen 001; Jiahao Zhu; Zifan Xie; Bin Ji 002; Huijun Liu 003; Xuanhua Shi; Hai Jin 001 (ACL (Findings), 2024)

Multi-Turn Jailbreaking Large Language Models via Attention Shifting. - Xiaohu Du; Fan Mo 004; Ming Wen 001; Tu Gu; Huadi Zheng; Hai Jin 001; Jie Shi (AAAI, 2025)

Statement-Level Adversarial Attack on Vulnerability Detection Models via Out-of-Distribution Features. - Xiaohu Du; Ming Wen 001; Haoyu Wang; Zichao Wei; Hai Jin 001 (Proc. ACM Softw. Eng., 2025)

Two-stage landslide satellite image recognition in the southeastern tibet region based on Cascade R-CNN and SAM2. - Jian Zhang; Xiangyu Chen; Mingwei Yu; Yonggang Guo; Xiaohu Du (Earth Sci. Informatics, 2025)