Boosting Response Aware Model-Based Collaborative Filtering. - Haiqin Yang; Guang Ling; Yuxin Su 001; Michael R. Lyu; Irwin King (IEEE Trans. Knowl. Data Eng., 2015)

Distributed Information-Theoretic Metric Learning in Apache Spark. - Yuxin Su 001; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2016)

Learning to Rank Using Localized Geometric Mean Metrics. - Yuxin Su 001; Irwin King; Michael R. Lyu (SIGIR, 2017)

Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. - Yuxin Su 001; Michael R. Lyu; Irwin King (CIKM, 2018)

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. - Hui Xu 009; Yuxin Su 001; Zirui Zhao; Yangfan Zhou; Michael R. Lyu; Irwin King (CoRR, 2018)

Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. - Yuxin Su 001; Shenglin Zhao; Xixian Chen; Irwin King; Michael R. Lyu (IJCAI, 2019)

Boosting the Transferability of Adversarial Samples via Attention. - Weibin Wu 002; Yuxin Su 001; Xixian Chen; Shenglin Zhao; Irwin King; Michael R. Lyu; Yu-Wing Tai (CVPR, 2020)

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. - Weibin Wu 002; Yuxin Su 001; Xixian Chen; Shenglin Zhao; Irwin King; Michael R. Lyu; Yu-Wing Tai (CVPR, 2020)

Software Reliability Engineering for Resilient Cloud Operations. - Michael R. Lyu; Yuxin Su 001 (ICSOC Workshops, 2020)

Improving the Transferability of Adversarial Samples With Adversarial Transformations. - Weibin Wu 002; Yuxin Su 001; Michael R. Lyu; Irwin King (CVPR, 2021)

Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. - Jiacheng Shen; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (ICDCS, 2021)

Graph-based Incident Aggregation for Large-Scale Online Service Systems. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xuemin Wen; Xiao Ling; Yongqiang Yang; Michael R. Lyu (ASE, 2021)

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. - Tianyi Yang; Jiacheng Shen; Yuxin Su 001; Xiao Ling; Yongqiang Yang; Michael R. Lyu (ASE, 2021)

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. - Zhuangbin Chen; Jinyang Liu 002; Wenwei Gu; Yuxin Su 001; Michael R. Lyu (CoRR, 2021)

SemParser: A Semantic Parser for Log Analysis. - Yintong Huo; Yuxin Su 001; Baitong Li; Michael R. Lyu (CoRR, 2021)

Improving Adversarial Transferability via Neuron Attribution-based Attacks. - Jianping Zhang 002; Weibin Wu 002; Jen-tse Huang 001; Yizhan Huang; Wenxuan Wang 001; Yuxin Su 001; Michael R. Lyu (CVPR, 2022)

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. - Tianyi Yang; Jiacheng Shen; Yuxin Su 001; Xiaoxue Ren; Yongqiang Yang; Michael R. Lyu (DSN, 2022)

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xiao Ling; Michael R. Lyu (ICSE, 2022)

ARCLIN: Automated API Mention Resolution for Unformatted Texts. - Yintong Huo; Yuxin Su 001; Hongming Zhang 009; Michael R. Lyu (ICSE, 2022)

LogVm: Variable Semantics Miner for Log Messages. - Yintong Huo; Yuxin Su 001; Michael R. Lyu (ISSRE Workshops, 2022)

Managing Service Dependency for Cloud Reliability: The Industrial Practice. - Tianyi Yang; Baitong Li; Jiacheng Shen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (ISSRE Workshops, 2022)

AEON: a method for automatic evaluation of NLP test cases. - Jen-tse Huang 001; Jianping Zhang 002; Wenxuan Wang 001; Pinjia He; Yuxin Su 001; Michael R. Lyu (ISSTA, 2022)

eBPF-based Working Set Size Estimation in Memory Management. - Zhilu Lian; Yangzi Li; Zhixiang Chen 016; Shiwen Shan; Baoxin Han; Yuxin Su 001 (ICSS, 2022)

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. - Zhuangbin Chen; Jinyang Liu 002; Yuxin Su 001; Hongyu Zhang 002; Xiao Ling; Yongqiang Yang; Michael R. Lyu (CoRR, 2022)

An Adaptive Resilience Testing Framework for Microservice Systems. - Tianyi Yang; Cheryl Lee; Jiacheng Shen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (CoRR, 2022)

A Survey on Automated Log Analysis for Reliability Engineering. - Shilin He; Pinjia He; Zhuangbin Chen; Tianyi Yang; Yuxin Su 001; Michael R. Lyu (ACM Comput. Surv., 2022)

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. - Zihan Li; Weibin Wu 002; Yuxin Su 001; Zibin Zheng; Michael R. Lyu (AAAI, 2023)

ForestZip: An Effective Parallel Parser for Log Compression. - Yuezhou Zhou; Yuxin Su 001 (AIBDF, 2023)

Improving the Transferability of Adversarial Samples by Path-Augmented Method. - Jianping Zhang 002; Jen-tse Huang 001; Wenxuan Wang 001; Yichen Li 003; Weibin Wu 002; Xiaosen Wang; Yuxin Su 001; Michael R. Lyu (CVPR, 2023)

FUSEE: A Fully Memory-Disaggregated Key-Value Store. - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (FAST, 2023)

SemParser: A Semantic Parser for Log Analytics. - Yintong Huo; Yuxin Su 001; Cheryl Lee; Michael R. Lyu (ICSE, 2023)

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Michael R. Lyu (ICSE, 2023)

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (ICSE, 2023)

EvLog: Identifying Anomalous Logs over Software Evolution. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (ISSRE, 2023)

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. - Jinyang Liu 002; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Cong Feng; Zengyin Yang; Michael R. Lyu (ISSRE, 2023)

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. - Yintong Huo; Yichen Li 003; Yuxin Su 001; Pinjia He; Zifan Xie; Michael R. Lyu (ASE, 2023)

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. - Cheryl Lee; Tianyi Yang; Zhuangbin Chen; Yuxin Su 001; Michael R. Lyu (ASE, 2023)

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Yuxin Su 001; Jiazhen Gu; Hao Feng; Yangfan Zhou; Michael R. Lyu (SOSP, 2023)

FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (CoRR, 2023)

EvLog: Evolving Log Analyzer for Anomalous Logs Identification. - Yintong Huo; Cheryl Lee; Yuxin Su 001; Shiwen Shan; Jinyang Liu 002; Michael R. Lyu (CoRR, 2023)

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Michael R. Lyu (CoRR, 2023)

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Michael R. Lyu (CoRR, 2023)

Tracemesh: Scalable and Streaming Sampling for Distributed Traces. - Zhuangbin Chen; Zhihan Jiang; Yuxin Su 001; Michael R. Lyu; Zibin Zheng (CLOUD, 2024)

eWAPA: An eBPF-based WASI Performance Analysis Framework for Web Assembly Runtimes. - Chenxi Mao; Yuxin Su 001; Shiwen Shan; Dan Li 016 (SSE, 2024)

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. - Cheryl Lee; Zhouruixin Zhu; Tianyi Yang; Yintong Huo; Yuxin Su 001; Pinjia He; Michael R. Lyu (ICDE, 2024)

WACP: A Performance Profiling Tool for WebAssembly-Python Interoperability. - Yudan Long; Yuxin Su 001; Zigui Jiang (Internetware, 2024)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. - Shiwen Shan; Yintong Huo; Yuxin Su 001; Yichen Li 003; Dan Li 016; Zibin Zheng (ISSTA, 2024)

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. - Tianyi Yang; Cheryl Lee; Jiacheng Shen; Yuxin Su 001; Cong Feng; Yongqiang Yang; Michael R. Lyu (ISSTA, 2024)

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. - Jinyang Liu 002; Wenwei Gu; Zhuangbin Chen; Yichen Li 003; Yuxin Su 001; Michael R. Lyu (CoRR, 2024)

CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association. - Dan Lin 007; Jiajing Wu; Yuxin Su 001; Ziye Zheng; Yuhong Nan; Zibin Zheng (CoRR, 2024)

eWAPA: An eBPF-based WASI Performance Analysis Framework for WebAssembly Runtimes. - Chenxi Mao; Yuxin Su 001; Shiwen Shan; Dan Li 016 (CoRR, 2024)

Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. - Yichen Li 003; Yintong Huo; Zhihan Jiang; Renyi Zhong; Pinjia He; Yuxin Su 001; Lionel C. Briand; Michael R. Lyu (IEEE Trans. Software Eng., 2024)

Fostering Active Learning: A Study on Anonymous Q&A Software in Undergraduate Education. - Dan Li 016; Zigui Jiang; Yuxin Su 001; Zibin Zheng (SSE, 2025)

Connector: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-Chain Transaction Association. - Dan Lin 007; Jiajing Wu; Yuxin Su 001; Ziye Zheng; Yuhong Nan; Qinnan Zhang; Bowen Song; Zibin Zheng (IEEE Trans. Inf. Forensics Secur., 2025)

Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2025)

LLM-assisted Mutation for Whitebox API Testing. - Jia Li; Jiacheng Shen; Yuxin Su 001; Michael R. Lyu (CoRR, 2025)

AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection. - Xinyu Li; Yingtong Huo; Chenxi Mao; Shiwen Shan; Yuxin Su 001; Dan Li 016; Zibin Zheng (CoRR, 2025)

ColorGo: Directed Concolic Execution. - Jia Li; Jiacheng Shen; Yuxin Su 001; Michael R. Lyu (CoRR, 2025)