LogSD: Detecting anomalies from system logs through self-supervised learning and frequency-based masking

- Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali

LogShrink: Effective log compression by leveraging commonality and variability of log data

- Li, Xiaoyun, Zhang, Hongyu, Le, Van-Hoang, Chen, Pengfei

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

- Zhang, Bo, Zhang, Hongyu, Le, Van-Hoang, Moscato, Pablo, Zhang, Aozhong

Log-based Anomaly Detection with Deep Learning: How Far Are We?

- Le, Van-Hoang, Zhang, Hongyu

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks

- Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali

Log-based Anomaly Detection Without Log Parsing

- Le, Van-Hoang, Zhang, Hongyu

LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection

- Xie, Yongzheng, Zhang, Hongyu, Zhang, Bo, Babar, Muhammad Ali, Lu, Sha

Onion: Identifying incident-indicating logs for cloud systems

- Zhang, Xu, Xu, Yong, Chintalapati, Murali, Rajmohan, Saravanakumar, Zhang, Dongmei, Qin, Si, He, Shilin, Qiao, Bo, Li, Ze, Zhang, Hongyu, Li, Xukun, Dang, Yingnong, Lin, Qingwei

Robust log-based anomaly detection on unstable log data

- Zhang, Xu, Xu, Yong, Lin, Qingwei, Qiao, Bo, Zhang, Hongyu, Dang, Yingnong, Xie, Chunyu, Yang, Xinsheng, Cheng, Qian, Li, Ze, Chen, Junjie, He, Xiaoting, Yao, Randolph, Lou, Jian-Guang, Chintalapati, Murali, Shen, Furao, Zhang, Dongmei

Identifying impactful service system problems via log analysis

- He, Shilin, Lin, Qingwei, Lou, Jian-Guang, Zhang, Hongyu, Lyu, Michael R., Zhang, Dongmei