UDAD: An Accurate Unsupervised Database Anomaly Detection Method. - Huazhen Zhong; Fan Zhang; Yining Zhao; Weifang Zhang; Wenjie Xiao; Xuehai Tang; Liangjun Zang (IPCCC, 2023)

DBPrompt: A Database Anomaly Operation Detection and Analysis via Prompt Learning. - Huazhen Zhong; Jibin Wang; Xuejian Wang; Xin Wang; Wenjie Xiao; Xuehai Tang; Liangjun Zang (ICIC (8), 2024)

EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation. - Xuehai Tang; Zhongjiang Yao; Huazhen Zhong; Guan Wang; Yuanshu Zhao; Xiaodan Zhang 004; Jizhong Han (IJCNN, 2024)

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning. - Yuchang Zhu; Huazhen Zhong; Qunshu Lin; Haotong Wei; Xiaolong Sun; Zixuan Yu; Minghao Liu; Zibin Zheng; Liang Chen 001 (CoRR, 2025)