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Liangfei Su
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2020 – today
- 2024
- [c5]Zhaoyang Yu, Qianyu Ouyang, Changhua Pei, Xin Wang, Wenxiao Chen, Liangfei Su, Huai Jiang, Xuanrun Wang, Jianhui Li, Dan Pei:
Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis. CCGrid 2024: 77-86 - [c4]Zhenhe Yao, Changhua Pei, Wenxiao Chen, Hanzhang Wang, Liangfei Su, Huai Jiang, Zhe Xie, Xiaohui Nie, Dan Pei:
Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph. SIGSOFT FSE Companion 2024: 50-61 - 2023
- [c3]Zhe Xie, Changhua Pei, Wanxue Li, Huai Jiang, Liangfei Su, Jianhui Li, Gaogang Xie, Dan Pei:
From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach. ESEC/SIGSOFT FSE 2023: 1739-1749 - [c2]Zhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei:
Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. WWW 2023: 2874-2884 - 2022
- [j1]Zhihan Li, Youjian Zhao, Yitong Geng, Zhanxiang Zhao, Hanzhang Wang, Wenxiao Chen, Huai Jiang, Amber Vaidya, Liangfei Su, Dan Pei:
Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems. IEEE J. Sel. Areas Commun. 40(9): 2746-2765 (2022) - 2020
- [c1]Xiaofeng Guo, Xin Peng, Hanzhang Wang, Wanxue Li, Huai Jiang, Dan Ding, Tao Xie, Liangfei Su:
Graph-based trace analysis for microservice architecture understanding and problem diagnosis. ESEC/SIGSOFT FSE 2020: 1387-1397
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last updated on 2024-10-24 21:30 CEST by the dblp team
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