Zhi Jin
Professor
Researches knowledge engineering and requirements engineering, and applies deep learning and large language models to program generation.
Zhi Jin's lab at Peking works on large language models and knowledge, QA & retrieval. 155 papers since 2023, 31 at top venues, mostly ACL and Findings of ACL. Applications close .
At a glance
- papers, 2023–2026
- 40/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 36 papers2026 · T1 10 · collecting
- 48 papers2025 · T1 12
- 48 papers2024 · T1 6
- 23 papers2023 · T1 3
T1 venuesOtherVenues: ACL, Findings of ACL, AAAI, Expert Systems with Applications, ICSE
Research focuspaper titles that use each topic's words
- Large language models53 papers
- Knowledge, QA & retrieval22 papers
- researches knowledge0 papers
- applies deep0 papers
- knowledge engineering0 papers
Paper list
From DBLP.
202636 papers
- IEICE Electron. ExpressA compact and monolithically integrable 140 GHz InP HEMT fundamental mixer using 80-nm T-gate technology for terahertz receiver front-ends (opens in a new tab)
- Eng. Appl. Artif. Intell.A knowledge graph-driven generation framework for perceptual decomposition and serial logical reasoning with large language models (opens in a new tab)
- IEEE Trans. Software Eng.Advancing LLM-Generated Code Reliability: A Hybrid Approach for Hallucination Detection (opens in a new tab)
- IEEE Trans. Software Eng.An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond (opens in a new tab)
- IEEE Trans. Cloud Comput.BPO-CBS: A Data-Driven Blockchain Performance Optimization Framework for Cloud Blockchain Services (opens in a new tab)
- Proc. ACM Softw. Eng.Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation (opens in a new tab)
- ACL (T1)CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment (opens in a new tab)
- Expert Systems with ApplicationsCollaborative denoising and semantic preservation: A sequential recommendation model via frequency-aware diffusion and KAN (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.EndPCA: Ensemble Defense With Provably Convergent Aggregation Against Poisoning Attacks in Federated Learning (opens in a new tab)
- ACM Trans. Softw. Eng. Methodol.Exploring Data-Efficient Adaptation of Large Language Models for Code Generation (opens in a new tab)
- REFrom Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology (opens in a new tab)
- Proc. ACM Softw. Eng.GraphLocator: Graph-Guided Causal Reasoning for Issue Localization (opens in a new tab)
202548 papers
- AAAI (T1)A Comprehensive Evaluation on Event Reasoning of Large Language Models (opens in a new tab)
- SANERA First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions (opens in a new tab)
- ASEAligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion (opens in a new tab)
- REWAutomatic Generation of Structured Requirements for Aerospace Embedded Systems Using LLMs (opens in a new tab)
- REAutomatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management (opens in a new tab)
- Pattern RecognitionCo-evidential fusion with information volume for semi-supervised medical image segmentation (opens in a new tab)
- ACL (T1)CodeDPO: Aligning Code Models with Self Generated and Verified Source Code (opens in a new tab)
- ACM Trans. Softw. Eng. Methodol.CodeScore: Evaluating Code Generation by Learning Code Execution (opens in a new tab)
- ASEData Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams (opens in a new tab)
- Findings of ACLEnhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge (opens in a new tab)
- ASEEnvisioning Intelligent Requirements Engineering via Knowledge-Guided Multi-Agent Collaboration (opens in a new tab)
- SIGSOFT FSE CompanionEvaluating Large Language Models for Requirements Question Answering in Industrial Aerospace Software (opens in a new tab)
202448 papers
- ACM Trans. Auton. Adapt. Syst.A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.A Scalable Approach to Detecting Safety Requirements Inconsistencies for Railway Systems (opens in a new tab)
- ACM Trans. Softw. Eng. Methodol.AceCoder: An Effective Prompting Technique Specialized in Code Generation (opens in a new tab)
- IEEE Trans. Software Eng.Automated Commit Message Generation With Large Language Models: An Empirical Study and Beyond (opens in a new tab)
- CogSciBridging the Gap: Advancing Commonsense Question Answering with Integrated Multi-Modal Knowledge (opens in a new tab)
- ACL (T1)CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges (opens in a new tab)
- J. Softw. Evol. Process.CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model (opens in a new tab)
- IEEE Internet Things J.Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis (opens in a new tab)
- Sci. China Inf. Sci.Deep learning for code generation: a survey (opens in a new tab)
- ASEDetect Hidden Dependency to Untangle Commits (opens in a new tab)
- LREC/COLINGDetection, Diagnosis, and Explanation: A Benchmark for Chinese Medial Hallucination Evaluation (opens in a new tab)
- Findings of ACLDevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories (opens in a new tab)
202323 papers
- Sci. China Inf. Sci.A software-defined MAPE-K architecture for unmanned systems (opens in a new tab)
- Autom. Softw. Eng.AdaComplete: improve DL-based code completion method's domain adaptability (opens in a new tab)
- REWAn RE'23 Workshop on Environment-Driven Requirements Engineering (EnviRE'23) (opens in a new tab)
- ECAIAntecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation (opens in a new tab)
- REWAutomating Extraction of Problem Diagrams from Natural Language Requirement Documents (opens in a new tab)
- ACM Trans. Softw. Eng. Methodol.CodeEditor: Learning to Edit Source Code with Pre-trained Models (opens in a new tab)
- ISSTACODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Empowering Domain Experts With Formal Methods for Consistency Verification of Safety Requirements (opens in a new tab)
- ICPCImplant Global and Local Hierarchy Information to Sequence based Code Representation Models (opens in a new tab)
- ICPCInterpretation-based Code Summarization (opens in a new tab)
- Information SciencesKnowledge graph completion method based on quantum embedding and quaternion interaction enhancement (opens in a new tab)
- SANERLearning Program Representations with a Tree-Structured Transformer (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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