Yuxin Su

According to our database, Yuxin Su authored at least 43 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.

Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu

CoRR, 2024

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection.

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

CoRR, 2024

2023

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

Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu

CoRR, 2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.

Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu

CoRR, 2023

EvLog: Evolving Log Analyzer for Anomalous Logs Identification.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu

CoRR, 2023

FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version).

Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu

CoRR, 2023

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System.

Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.

Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services.

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

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

EvLog: Identifying Anomalous Logs over Software Evolution.

Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data.

Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

SemParser: A Semantic Parser for Log Analytics.

Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

FUSEE: A Fully Memory-Disaggregated Key-Value Store.

Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu

Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method.

Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning.

Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey on Automated Log Analysis for Reliability Engineering.

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu

ACM Comput. Surv., 2022

An Adaptive Resilience Testing Framework for Microservice Systems.

Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu

CoRR, 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, Michael R. Lyu

CoRR, 2022

eBPF-based Working Set Size Estimation in Memory Management.

Zhilu Lian, Yangzi Li, Zhixiang Chen, Shiwen Shan, Baoxin Han, Yuxin Su

Proceedings of the International Conference on Service Science, 2022

AEON: a method for automatic evaluation of NLP test cases.

Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Managing Service Dependency for Cloud Reliability: The Industrial Practice.

Tianyi Yang, Baitong Li, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

LogVm: Variable Semantics Miner for Log Messages.

Yintong Huo, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

ARCLIN: Automated API Mention Resolution for Unformatted Texts.

Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems.

Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiaoxue Ren, Yongqiang Yang, Michael R. Lyu

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Improving Adversarial Transferability via Neuron Attribution-based Attacks.

Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SemParser: A Semantic Parser for Log Analysis.

Yintong Huo, Yuxin Su, Baitong Li, Michael R. Lyu

CoRR, 2021

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection.

Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu

CoRR, 2021

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems.

Tianyi Yang, Jiacheng Shen, Yuxin Su, Xiao Ling, Yongqiang Yang, Michael R. Lyu

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Graph-based Incident Aggregation for Large-Scale Online Service Systems.

Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, Michael R. Lyu

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms.

Jiacheng Shen, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Improving the Transferability of Adversarial Samples With Adversarial Transformations.

Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Software Reliability Engineering for Resilient Cloud Operations.

Michael R. Lyu, Yuxin Su

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution.

Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting the Transferability of Adversarial Samples via Attention.

Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators.

Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation.

Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King

CoRR, 2018

Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization.

Yuxin Su, Michael R. Lyu, Irwin King

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Learning to Rank Using Localized Geometric Mean Metrics.

Yuxin Su, Irwin King, Michael R. Lyu

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Distributed Information-Theoretic Metric Learning in Apache Spark.

Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Boosting Response Aware Model-Based Collaborative Filtering.

Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King

IEEE Trans. Knowl. Data Eng., 2015