Michael R. Lyu

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 362

Top Venues

Publications

Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu
The Earth is Flat? Unveiling Factual Errors in Large Language Models. CoRR (2024)
Yi-Wei Ci, Michael R. Lyu, Zhan Zhang, De-Cheng Zuo, Xiao-Zong Yang
KLNK: Expanding Page Boundaries in a Distributed Shared Memory System. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CoRR (2024)
Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu
Exploring Multi-Lingual Bias of Large Code Models in Code Generation. CoRR (2024)
Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR (2024)
Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang
Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models. CoRR (2024)
Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR (2024)
Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu
Curvature-Invariant Adversarial Attacks for 3D Point Clouds. AAAI (2024)
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. ICSE-SEIP (2024)
Cheryl Lee, Chunqiu Steven Xia, Jen-tse Huang, Zhouruixin Zhu, Lingming Zhang, Michael R. Lyu
A Unified Debugging Approach via LLM-Based Multi-Agent Synergy. CoRR (2024)
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. CoRR (2024)
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen LI, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. CoRR (2024)
Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu
How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments. CoRR (2024)
Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. ICSE (2024)
Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR (2024)
Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. CoRR (2024)
Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu
Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach. CoRR (2024)
Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. CoRR (2024)
Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR (2024)
Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. ICDE (2024)
Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu
Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. CoRR (2024)
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. CoRR (2024)
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. ICSE-SEIP (2024)
Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. ICLR (2024)
Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. CoRR (2024)
Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu
An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. ICSE (2024)
Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu
All Languages Matter: On the Multilingual Safety of LLMs. ACL (Findings) (2024)
Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE (2024)
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyu
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask. KDD (2024)
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
Go Static: Contextualized Logging Statement Generation. CoRR (2024)
Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang
Making Long-Context Language Models Better Multi-Hop Reasoners. ACL (1) (2024)
Man Tik Ng, Hui Tung Tse, Jen-tse Huang, Jingjing Li, Wenxuan Wang, Michael R. Lyu
How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO. CoRR (2024)
Yun Peng, Shuzheng Gao, Cuiyun Gao, Yintong Huo, Michael R. Lyu
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors. ICSE (2024)
Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu
New Job, New Gender? Measuring the Social Bias in Image Generation Models. CoRR (2024)
Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. ACL (1) (2024)
Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. AAAI (2024)
Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam
Automatic Programming: Large Language Models and Beyond. CoRR (2024)
Chaozheng Wang, Zongjie Li, Yun Pena, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE (2023)
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
Validating Multimedia Content Moderation Software via Semantic Fusion. CoRR (2023)
Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. ICCV (2023)
Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. ISSRE (2023)
Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu
A transformer-based approach for improving app review response generation. Softw. Pract. Exp. 53 (2) (2023)
Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu
Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing. ASE (2023)
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu
BiasAsker: Measuring the Bias in Conversational AI System. CoRR (2023)
Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu
EvLog: Identifying Anomalous Logs over Software Evolution. ISSRE (2023)
Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu
Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench. CoRR (2023)
Zilun Wang, Wei Meng, Michael R. Lyu
Fine-Grained Data-Centric Content Protection Policy for Web Applications. CCS (2023)
Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. CoRR (2023)
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
Validating Multimedia Content Moderation Software via Semantic Fusion. ISSTA (2023)
Shuqing Li, Lili Wei, Yepang Liu, Cuiyun Gao, Shing-Chi Cheung, Michael R. Lyu
Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives. CoRR (2023)
Antonio Guerriero, Michael R. Lyu, Roberto Pietrantuono, Stefano Russo
Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate. Intell. Syst. Appl. 17 (2023)
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu
A Large-scale Benchmark for Log Parsing. CoRR (2023)
Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. CoRR (2023)
Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu
On the Robustness of Latent Diffusion Models. CoRR (2023)
Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu
Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing. CoRR (2023)
Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu
SemParser: A Semantic Parser for Log Analytics. ICSE (2023)
Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. CoRR (2023)
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. ASE (2023)
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. CoRR (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. ICSE (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. ICSE (2023)
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
MTTM: Metamorphic Testing for Textual Content Moderation Software. ICSE (2023)
Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. ICDM (Workshops) (2023)
Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Michael R. Lyu
Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study. CoRR (2023)
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
Generative Type Inference for Python. CoRR (2023)
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu
BiasAsker: Measuring the Bias in Conversational AI System. ESEC/SIGSOFT FSE (2023)
Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. SOSP (2023)
Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). CoRR (2023)
Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R. Lyu, Yangfan Zhou
SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. OSDI (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE (2023)
Yujia Chen, Cuiyun Gao, Xiaoxue Ren, Yun Peng, Xin Xia, Michael R. Lyu
API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning. IEEE Trans. Software Eng. 49 (5) (2023)
Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu
All Languages Matter: On the Multilingual Safety of Large Language Models. CoRR (2023)
Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, Michael R. Lyu
ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models. CoRR (2023)
Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu
Generative Type Inference for Python. ASE (2023)
Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu
Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation. IEEE Trans. Software Eng. 49 (6) (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. CoRR (2023)
Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR (2023)
Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. CoRR (2023)
Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. CVPR (2023)
Yun Peng, Ruida Hu, Ruoke Wang, Cuiyun Gao, Shuqing Li, Michael R. Lyu
Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem. CoRR (2023)
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
Improving the Transferability of Adversarial Samples by Path-Augmented Method. CVPR (2023)
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
Improving the Transferability of Adversarial Samples by Path-Augmented Method. CoRR (2023)
Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. CoRR (2023)
Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Tianyi Yang, Yuxin Su, Yangfan Zhou, Michael R. Lyu
FUSEE: A Fully Memory-Disaggregated Key-Value Store. FAST (2023)
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR (2023)
Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. CoRR (2023)
Xiaoxue Ren, Xinyuan Ye, Yun Lin, Zhenchang Xing, Shuqing Li, Michael R. Lyu
API-Knowledge Aware Search-Based Software Testing: Where, What, and How. ESEC/SIGSOFT FSE (2023)
Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael R. Lyu
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark. CoRR (2023)
Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. CoRR (2023)
Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu
EvLog: Evolving Log Analyzer for Anomalous Logs Identification. CoRR (2023)
Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE (2023)
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. CoRR (2023)
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools. CoRR (2023)
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
MTTM: Metamorphic Testing for Textual Content Moderation Software. CoRR (2023)
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. ASE (2023)
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, Michael R. Lyu
Prompt Tuning in Code Intelligence: An Experimental Evaluation. IEEE Trans. Software Eng. 49 (11) (2023)

Michael R. Lyu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michael R. Lyu