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ORCIDMichael R. Lyu
Michael Rung-Tsong Lyu – 吕荣聪
Person information
- unicode name: 吕荣聪
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (1992 - 1995): University of Iowa, IA, USA
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2020 – today
- 2025
[j165]Wenxuan Wang
, Wenxiang Jiao, Jen-tse Huang, Zhaopeng Tu, Michael R. Lyu:
On the shortcut learning in multilingual neural machine translation. Neurocomputing 615: 128833 (2025)- 2024
- [j164]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): 137-160 (2024) - [j163]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): 609-630 (2024) - [j162]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): 2167-2189 (2024) - [j161]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): 2515-2537 (2024) - [j160]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4894-4904 (2024) - [j159]Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael Rung-Tsong Lyu, Yangfan Zhou:
A Memory-Disaggregated Radix Tree. ACM Trans. Storage 20(3): 15 (2024) - [j158]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): 1524-1535 (2024) - [j157]Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, LiGuo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong:
Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. 50(11): 2709-2711 (2024) - [c454]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. CLOUD 2024: 54-65 - [c453]Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu:
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. AAAI 2024: 7133-7141 - [c452]Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu:
Curvature-Invariant Adversarial Attacks for 3D Point Clouds. AAAI 2024: 7142-7150 - [c451]Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang:
Making Long-Context Language Models Better Multi-Hop Reasoners. ACL (1) 2024: 2462-2475 - [c450]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: 5865-5877 - [c449]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: 6349-6384 - [c448]Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. EMNLP 2024: 2124-2155 - [c447]Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang:
Enhancing Temporal Modeling of Video LLMs via Time Gating. EMNLP (Findings) 2024: 2845-2856 - [c446]Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu:
On the Reliability of Psychological Scales on Large Language Models. EMNLP 2024: 6152-6173 - [c445]Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang:
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning. EMNLP 2024: 6876-6911 - [c444]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: 165-178 - [c443]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 - [c442]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: 4:1-4:13 - [c441]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: 80:1-80:13 - [c440]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: 202:1-202:12 - [c439]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: 210:1-210:13 - [c438]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: 369-380 - [c437]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: 392-404 - [c436]Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu:
KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. ISSRE 2024: 403-414 - [c435]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. ISSRE 2024: 511-522 - [c434]Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R. Lyu:
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? ISSTA 2024: 223-234 - [c433]Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. ISSTA 2024: 235-247 - [c432]Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Cong Feng, Yongqiang Yang, Michael R. Lyu:
MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. ISSTA 2024: 325-337 - [c431]Xiaolu Zhang, Tahmid Rafi, Yuejun Guan, Shuqing Li, Michael R. Lyu:
Demystifying the Privacy-Realism Dilemma in the Metaverse. ASE Workshops 2024: 245-250 - [c430]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: 3551-3562 - [c429]Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu:
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. LLM4CODE@ICSE 2024: 70-74 - [c428]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. ACM Multimedia 2024: 3781-3789 - [c427]Xuchuan Luo, Jiacheng Shen, Pengfei Zuo, Xin Wang, Michael R. Lyu, Yangfan Zhou:
CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory. SOSP 2024: 110-126 - [i171]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 abs/2401.00757 (2024) - [i170]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 abs/2401.00761 (2024) - [i169]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 abs/2401.00763 (2024) - [i168]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 abs/2401.01060 (2024) - [i167]Jinyang Liu, Wenwei Gu, Zhuangbin Chen, Yichen Li, Yuxin Su, Michael R. Lyu:
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection. CoRR abs/2401.06175 (2024) - [i166]Yichen Li, Yun Peng, Yintong Huo, Michael R. Lyu:
Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context. CoRR abs/2402.03630 (2024) - [i165]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 abs/2402.11217 (2024) - [i164]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 abs/2402.12958 (2024) - [i163]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 abs/2402.17583 (2024) - [i162]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 abs/2403.06485 (2024) - [i161]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 abs/2403.11807 (2024) - [i160]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 abs/2403.17574 (2024) - [i159]Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu, Liwei Wang:
Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models. CoRR abs/2403.18252 (2024) - [i158]Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao, Yang Xiao, Michael R. Lyu:
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection. CoRR abs/2403.19096 (2024) - [i157]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 abs/2404.13957 (2024) - [i156]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 abs/2404.17153 (2024) - [i155]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 abs/2404.19368 (2024) - [i154]Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam:
Automatic Programming: Large Language Models and Beyond. CoRR abs/2405.02213 (2024) - [i153]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR abs/2406.06975 (2024) - [i152]Junjie Huang, Zhihan Jiang, Zhuangbin Chen, Michael R. Lyu:
ULog: Unsupervised Log Parsing with Large Language Models through Log Contrastive Units. CoRR abs/2406.07174 (2024) - [i151]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 abs/2406.09313 (2024) - [i150]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 abs/2406.16386 (2024) - [i149]Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, Michael R. Lyu:
On the Resilience of Multi-Agent Systems with Malicious Agents. CoRR abs/2408.00989 (2024) - [i148]Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu:
Automated Defects Detection and Fix in Logging Statement. CoRR abs/2408.03101 (2024) - [i147]Yanyang Li, Shuo Liang, Michael R. Lyu, Liwei Wang:
Making Long-Context Language Models Better Multi-Hop Reasoners. CoRR abs/2408.03246 (2024) - [i146]Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu:
Search-Based LLMs for Code Optimization. CoRR abs/2408.12159 (2024) - [i145]Wenxuan Wang, Juluan Shi, Chaozheng Wang, Cheryl Lee, Youliang Yuan, Jen-tse Huang, Michael R. Lyu:
Learning to Ask: When LLMs Meet Unclear Instruction. CoRR abs/2409.00557 (2024) - [i144]Shuqing Li, Binchang Li, Yepang Liu, Cuiyun Gao, Jianping Zhang, Shing-Chi Cheung, Michael R. Lyu:
Context-Dependent Interactable Graphical User Interface Element Detection for Spatial Computing Applications. CoRR abs/2409.10811 (2024) - [i143]Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, Michael R. Lyu:
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. CoRR abs/2409.13178 (2024) - [i142]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i141]Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu:
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. CoRR abs/2409.13561 (2024) - [i140]Zi-Yuan Hu, Yiwu Zhong, Shijia Huang, Michael R. Lyu, Liwei Wang:
Enhancing Temporal Modeling of Video LLMs via Time Gating. CoRR abs/2410.05714 (2024) - 2023
- [j156]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: 200172 (2023) - [j155]Weizhe Zhang, Wenchao Gu, Cuiyun Gao, Michael R. Lyu:
A transformer-based approach for improving app review response generation. Softw. Pract. Exp. 53(2): 438-454 (2023) - [j154]Shuzheng Gao, Cuiyun Gao, Yulan He, Jichuan Zeng, Lunyiu Nie, Xin Xia, Michael R. Lyu:
Code Structure-Guided Transformer for Source Code Summarization. ACM Trans. Softw. Eng. Methodol. 32(1): 23:1-23:32 (2023) - [j153]Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We? IEEE Trans. Software Eng. 49(4): 1876-1897 (2023) - [j152]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): 3289-3304 (2023) - [j151]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): 3630-3646 (2023) - [j150]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): 4869-4885 (2023) - [c426]Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu:
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. AAAI 2023: 1530-1538 - [c425]Zilun Wang, Wei Meng, Michael R. Lyu:
Fine-Grained Data-Centric Content Protection Policy for Web Applications. CCS 2023: 2845-2859 - [c424]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: 8173-8182 - [c423]Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu:
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. CVPR 2023: 16415-16424 - [c422]Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang:
CLEVA: Chinese Language Models EVAluation Platform. EMNLP (Demos) 2023: 186-217 - [c421]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: 81-98 - [c420]Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang:
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. ICCV 2023: 2998-3008 - [c419]Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. ICDM (Workshops) 2023: 1213-1220 - [c418]Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE 2023: 524-536 - [c417]Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analytics. ICSE 2023: 881-893 - [c416]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: 1724-1736 - [c415]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: 1750-1762 - [c414]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: 2299-2311 - [c413]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: 2387-2399 - [c412]Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu:
Towards Semantics- and Domain-Aware Adversarial Attacks. IJCAI 2023: 536-544 - [c411]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: 36-45 - [c410]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: 355-366 - [c409]Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu:
EvLog: Identifying Anomalous Logs over Software Evolution. ISSRE 2023: 391-402 - [c408]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: 576-588 - [c407]Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion. ASE 2023: 116-128 - [c406]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: 268-280 - [c405]Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu:
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. ASE 2023: 497-509 - [c404]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: 661-672 - [c403]Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu:
What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? ASE 2023: 761-773 - [c402]Yun Peng, Chaozheng Wang, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
Generative Type Inference for Python. ASE 2023: 988-999 - [c401]Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu:
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. ASE 2023: 1339-1351 - [c400]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. ASE 2023: 1952-1962 - [c399]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: 553-571 - [c398]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: 515-527 - [c397]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: 1320-1332 - [c396]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: 675-691 - [d2]Yun Peng, Shuqing Li, Wenwei Gu, Yichen Li, Wenxuan Wang, Cuiyun Gao, Michael R. Lyu:
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java. Version 2. Zenodo, 2023 [all versions]
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