Michael Rung Tsong Lyu
Choh-Ming Li Professor of Computer Science and Engineering
Works on software engineering and AI, including large language models for code, AIOps log analysis and dependable computing.
Michael Rung Tsong Lyu's lab at CUHK works on large language models and compilers & programming languages. 144 papers since 2023, 45 at top venues, mostly ICSE and ACL. 26 PhD students. 102 alumni. Applications close .
At a glance
- papers, 2023–2026
- 38/ year
- at T1 venues
- 31%
- PhD students
- 26
- MS students
- 0
- alumni listed
- 102
Papers by yearfrom the lab homepage, 2023–2026
- 23 papers2026 · T1 5 · collecting
- 44 papers2025 · T1 12
- 39 papers2024 · T1 15
- 38 papers2023 · T1 13
T1 venuesOtherVenues: ICSE, ACL, EMNLP, Findings of ACL, AAAI
Research focuspaper titles that use each topic's words
- Large language models49 papers
- code25 papers
- software13 papers
- Compilers & programming languages4 papers
- software engineering2 papers
Paper list
From the lab homepage.
202623 papers
- ICSE (T1)3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation (opens in a new tab)
- FSE-IVR202690% Faster, 100% Code-Free: MLLM-Driven Zero-Code 3D Game Development (opens in a new tab)
- ICPC2026AutoLogger: A Multi-Agent Framework for the End-to-End Automated Logging (opens in a new tab)
- FSE2026Bringing Managed Language Support to WebAssembly with External Library Linking (opens in a new tab)
- FSE2026Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing (opens in a new tab)
- TSECCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency (opens in a new tab)
- TMLR (T1)Data Compressibility Quantifies LLM Memorization (opens in a new tab)
- FSE2026EfficientUICoder: A Bidirectional Token Compression Framework for Efficient MLLM-Based UI Code Generation (opens in a new tab)
- FSE-IVR2026Freezing the Crime Scene: A State Snapshot Paradigm for Reproducible Agentic SRE Evaluation (opens in a new tab)
- ACL (T1)From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level (opens in a new tab)
- Findings of ACLIdentifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models (opens in a new tab)
- Findings of ACLInference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification (opens in a new tab)
202544 papers
- TOSEMA Survey on Failure Analysis and Fault Injection in AI Systems (opens in a new tab)
- ICSE (T1)ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems (opens in a new tab)
- FSE2025An Empirical Study of Code Clones from Commercial AI Code Generators (opens in a new tab)
- ACL (T1)Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models (opens in a new tab)
- ASE2025Automated Proactive Logging Quality Improvement for Large-Scale Codebases (opens in a new tab)
- TOSEMAutomatic Programming: Large Language Models and Beyond (opens in a new tab)
- FSE2025Beyond PEFT: Layer-Wise Optimization for More Effective and Efficient Large Code Model Tuning (opens in a new tab)
- Findings of ACLC2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation (opens in a new tab)
- ESEM2025Can User Feedback Help Issue Detection? An Empirical Study on a One-Billion-User Online Service System (opens in a new tab)
- ICSE (T1)COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge (opens in a new tab)
- NeurIPS (T1)CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning (opens in a new tab)
- ICLR (T1)Competing Large Language Models in Multi-Agent Gaming Environments (opens in a new tab)
202439 papers
- ISSTA2024A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? (opens in a new tab)
- TOSA Memory-Disaggregated Radix Tree (opens in a new tab)
- ASE2024A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How (opens in a new tab)
- Findings of ACLAll Languages Matter: On the Multilingual Safety of LLMs (opens in a new tab)
- ICSE (T1)An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles (opens in a new tab)
- NeurIPS (T1)Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans (opens in a new tab)
- EMNLP2024Beyond Embeddings: The Promise of Visual Table in Visual Reasoning (opens in a new tab)
- SOSP (T1)CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory (opens in a new tab)
- ASE2024Contextualized Data-Wrangling Code Generation in Computational Notebooks (opens in a new tab)
- AAAI (T1)Curvature-Invariant Adversarial Attacks for 3D Point Clouds (opens in a new tab)
- ISSRE2024Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis (opens in a new tab)
- ASE-W2024Demystifying the Privacy-Realism Dilemma in the Metaverse (opens in a new tab)
202338 papers
- ICDM-W2023A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems (opens in a new tab)
- ASE2023An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software (opens in a new tab)
- TSEAPI Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning (opens in a new tab)
- ESEC/FSE2023API-Knowledge Aware Search-Based Software Testing: Where, What, and How (opens in a new tab)
- ISWAAssessing Operational Accuracy of CNN-Based Image Classifiers Using an Oracle Surrogate (opens in a new tab)
- ASE2023AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection (opens in a new tab)
- Proceedings of the IEEE Aerospace ConferenceAutomated Aircraft Recognition via Vision Transformers (opens in a new tab)
- ESEC/FSE2023BiasAsker: Measuring the Bias in Conversational AI System (opens in a new tab)
- AAAI (T1)CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning (opens in a new tab)
- EMNLP2023CLEVA: Chinese Language Models EVAluation Platform (opens in a new tab)
- TOSEMCode Structure Guided Transformer for Source Code Summarization (opens in a new tab)
- TSECombatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation (opens in a new tab)
Where alumni went102 listed
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- HKCUHK
Wai Lam
- Knowledge, QA & retrieval
- CNTsinghua
Bowen Zhou
- Large language models
- GBEdinburgh
Ivan Titov
- Large language models
- CNTsinghua
Lei Hou
- Knowledge, QA & retrieval
- USUW
Hannaneh Hajishirzi
- Knowledge, QA & retrieval
- USMIT
Robert Berwick
- Multilingual, translation & linguistics
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
CUHKcloses