Two Representation Theorems for Non-monotonic Inference Relations. - Zhaohui Zhu; Wenjie Xiao (J. Log. Comput., 2007)

Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning. - Wenjie Xiao; Xuehai Tang; Biyu Zhou; Wang Wang; Yangchen Dong; Liangjun Zang; Jizhong Han; Songlin Hu 001 (ICA3PP (1), 2021)

Predicting drug-disease associations through layer attention graph convolutional network. - Zhouxin Yu; Feng Huang 004; Xiaohan Zhao; Wenjie Xiao; Wen Zhang 008 (Briefings Bioinform., 2021)

Improving disk failure detection accuracy via data augmentation. - Wang Wang; Xuehai Tang; Biyu Zhou; Wenjie Xiao; Jizhong Han; Songlin Hu 001 (IWQoS, 2022)

GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction. - Xuan Liu; Congzhi Song; Feng Huang 004; Haitao Fu; Wenjie Xiao; Wen Zhang 008 (Briefings Bioinform., 2022)

Research on Automatic Classification of Chinese Traditional Settlement Residential Buildings Based on Convolutional Neural Network. - Yong Fan; Wenjie Xiao; Xuan Li (ICMLCA, 2023)

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

SwordEcho: A LLM Jailbreaking Optimization Strategy Driven by Reinforcement Learning. - Xuehai Tang; Wenjie Xiao; Zhongjiang Yao; Jizhong Han (CSAI, 2024)

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)

Highly Efficient Algorithm for Frequency Linearization in FMCW Lidar Using Directly-Modulated DFB Laser. - Ying Lu; Jun Zhou; Siyu Duan; Wenjie Xiao; Ning Cheng; Xuezhe Zheng (OFC, 2025)

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering. - Yixiong Chen; Wenjie Xiao; Pedro R. A. S. Bassi; Xinze Zhou; Sezgin Er; Ibrahim Ethem Hamamci; Zongwei Zhou; Alan L. Yuille (CoRR, 2025)

DNT: a Deeply Normalized Transformer that can be trained by Momentum SGD. - Xianbiao Qi; Marco Chen; Wenjie Xiao; Jiaquan Ye; Yelin He; Chun-Guang Li; Zhouchen Lin (CoRR, 2025)