An Anti-statistical Analysis LSB Steganography Incorporating Extended Cat-Mapping. - Wenxiao Chen; Jing Cai; Siwei Li (APPT, 2007)

Multi-Scale Approaches to the MediaEval 2015 "Emotion in Music" Task. - Mingxing Xu; Xinxing Li; Haishu Xianyu; Jiashen Tian; Fanhang Meng; Wenxiao Chen (MediaEval, 2015)

A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction. - Xinxing Li; Haishu Xianyu; Jiashen Tian; Wenxiao Chen; Fanhang Meng; Mingxing Xu; Lianhong Cai (ICASSP, 2016)

SVR based double-scale regression for dynamic emotion prediction in music. - Haishu Xianyu; Xinxing Li; Wenxiao Chen; Fanhang Meng; Jiashen Tian; Mingxing Xu; Lianhong Cai (ICASSP, 2016)

Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder. - Zeyan Li; Wenxiao Chen; Dan Pei (IPCCC, 2018)

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. - Haowen Xu; Wenxiao Chen; Nengwen Zhao; Zeyan Li; Jiahao Bu; Zhihan Li; Ying Liu 024; Youjian Zhao; Dan Pei; Yang Feng; Jie Chen; Zhaogang Wang; et al. (WWW, 2018)

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE. - Wenxiao Chen; Haowen Xu; Zeyan Li; Dan Pei; Jie Chen; Honglin Qiao; Yang Feng; Zhaogang Wang (INFOCOM, 2019)

On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder. - Haowen Xu; Wenxiao Chen; Jinlin Lai; Zhihan Li; Youjian Zhao; Dan Pei (CoRR, 2019)

VAEPP: Variational Autoencoder with a Pull-Back Prior. - Wenxiao Chen; Wenda Liu; Zhenting Cai; Haowen Xu; Dan Pei (ICONIP (3), 2020)

Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs. - Haowen Xu; Wenxiao Chen; Jinlin Lai; Zhihan Li; Youjian Zhao; Dan Pei (ICONIP (5), 2020)

Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing. - Zhihan Li; Youjian Zhao; Haowen Xu; Wenxiao Chen; Shangqing Xu; Yilin Li; Dan Pei (IJCNN, 2020)

DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models. - Wenxiao Chen; Xiaohui Nie; Mingliang Li; Dan Pei (CoRR, 2021)

Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems. - Zhihan Li; Youjian Zhao; Yitong Geng; Zhanxiang Zhao; Hanzhang Wang; Wenxiao Chen; Huai Jiang; Amber Vaidya; Liangfei Su; Dan Pei (IEEE J. Sel. Areas Commun., 2022)

Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. - Zhe Xie; Haowen Xu; Wenxiao Chen; Wanxue Li; Huai Jiang; Liangfei Su; Hanzhang Wang; Dan Pei (WWW, 2023)

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. - Zhaoyang Yu; Qianyu Ouyang; Changhua Pei; Xin Wang 001; Wenxiao Chen; Liangfei Su; Huai Jiang; Xuanrun Wang; Jianhui Li; Dan Pei (CCGrid, 2024)

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. - Zhenhe Yao; Changhua Pei; Wenxiao Chen; Hanzhang Wang; Liangfei Su; Huai Jiang; Zhe Xie; Xiaohui Nie; Dan Pei (SIGSOFT FSE Companion, 2024)

A Lightweight and Multi-Branch Module in Facial Semantic Segmentation Feature Extraction. - Yuxuan Li; Jiatai Wu; Wenxiao Chen; Pengcheng Tan; Chok-Tim Ngan; Binkai Ou (IEEE Access, 2024)