A Novel Unsupervised Anomaly Detection Approach Using Neural Transformation in Cloud Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (CLOUD, 2022)

iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength. - Hanyu Luo; Cheng Chen; Wenyu Shan; Pingjian Ding; Lingyun Luo (ICIC (2), 2022)

An efficient isomorphic CNN-based prediction and decision framework for financial time series. - Zhongming Liu; Hang Luo; Peng Chen 007; Qibin Xia; Zhihao Gan; Wenyu Shan (Intell. Data Anal., 2022)

An Effective WGAN-Based Anomaly Detection Model for IoT Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Peian Wen; Wenyu Shan; Ling Xiong (PAKDD (1), 2023)

An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. - Sibo Qi; Juan Chen; Peng Chen 007; Jie Li; Wenyu Shan; Peian Wen (WISE, 2023)

A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning. - Yuxun Luo; Wenyu Shan; Li Peng; Lingyun Luo; Pingjian Ding; Wei Liang 005 (IEEE J. Biomed. Health Informatics, 2024)

An Effective Transformation-Encoding-Attention Framework for Multivariate Time Series Anomaly Detection in IoT Environment. - Rui Zhang 099; Juan Chen; Yujia Song; Wenyu Shan; Peng Chen 007; Yunni Xia (Mob. Networks Appl., 2024)

Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO. - Chengzhuo Tong; Ziyu Guo; Renrui Zhang; Wenyu Shan; Xinyu Wei; Zhenghao Xing; Hongsheng Li 001; Pheng-Ann Heng (CoRR, 2025)