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Jinyang Liu

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Jun

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Mar 21, 2024
Zeyu Han, Chao Gao, Jinyang Liu, Jeff, Zhang, Sai Qian Zhang

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Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach

Mar 11, 2024
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu

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FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems

Feb 27, 2024
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen LI, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

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MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection

Jan 10, 2024
Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu

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SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

Sep 07, 2023
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

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Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services

Aug 19, 2023
Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu

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Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection

Aug 01, 2023
Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael Lyu

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Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop

Jun 08, 2023
Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu

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Geometry of Score Based Generative Models

Feb 09, 2023
Sandesh Ghimire, Jinyang Liu, Armand Comas, Davin Hill, Aria Masoomi, Octavia Camps, Jennifer Dy

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