📝 Selected Papers

Software Engineering for Machine Learning (SE4AI)

• ArXiv Beyond Neural Incompatibility: Easing Cross-Scale Knowledge Transfer in Large Language Models through Latent Semantic Alignment
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang
• ICSE'26 Semantic-based Optimization for Repairing LLMs: Case Study on Code Generation
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang
• ACL'25 Semantic-Aware Layer-Freezing for Computation-Efficient Fine-Tuning of LMs
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang
• ArXiv Vocabulary-Defined Semantics: Latent Space Clustering for Beyond-Context Learning
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang
• ArXiv Focus-aware Neurons: Robust LM Repair leveraging Selective Attention
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang
• ArXiv Neuron Patching: Semantic-based Neuron-level LM Repair for Code Generation
  Jian Gu, Aldeida Aleti, Chunyang Chen, Hongyu Zhang

Machine Learning for Software Engineering (AI4SE)

• FSE'23 Towards Top-Down Automated Development in Limited Scopes: A Neuro-Symbolic Framework from Expressibles to Executables
  Jian Gu, Harald C. Gall
• SANER'22 Assemble Foundation Models for Automatic Code Summarization
  Jian Gu, Pasquale Salza, Harald C. Gall
• ICSME'21 Multimodal Representation for Neural Code Search
  Jian Gu, Zimin Chen, Martin Monperrus
• TSE 2022 On the Effectiveness of Transfer Learning for Code Search
  Pasquale Salza, Christoph Schwizer, Jian Gu, Harald C. Gall
• TSE 2021 Automated Classification of Overfitting Patches with Statically Extracted Code Features
  He Ye, Jian Gu, Matias Martinez, Thomas Durieux, Martin Monperrus