Scholar
Mingchen Li (李明辰)
Google Scholar ID: QRy4yOsAAAAJ
Shanghai Jiao Tong University
Citations & Impact
Citations
369
H-index
9
i10-index
9
Publications
20
Co-authors
8
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 2025 Preprint: Discovery of Expression-Governing Residues in Proteins (First and corresponding author)
- 2025 Preprint: Harnessing A Unified Multi-modal Sequence Modeling to unveil Protein-DNA Interdependency (First author)
- 2025 NeurIPS Poster: MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models (Corresponding author)
- 2025 Journal of Synthetic Biology: DeepSeek Model Analysis and Its Application in AI-assisted Protein Engineering (First author)
- 2025 Journal of Chemical Information and Modeling: A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction (Corresponding author)
- 2025 Physical Review Research: Entropy-driven zero-shot deep learning model selection for viral proteins (Corresponding author)
- 2024 Science Advances: A general temperature-guided language model to design proteins of enhanced stability and activity (Co-first author)
- 2024 NeurIPS Poster: ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention (Co-first author)
- 2024 Neurips 2024 Workshop FM4Science Oral: Learning temperature-aware representations from millions of annotated protein sequences (Co-first author)
- 2024 IEEE Transactions on Software Engineering: Learning to Generate Structured Code Summaries from Hybrid Code Context (Co-first author)
- 2024 Journal of Chemical Information and Modeling: Simple, efficient, and scalable structure-aware adapter boosts protein language models (Co-first author)
- 2024 Journal of Cheminformatics: PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications (Co-first author)
- 2024 Nature Communications: Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning (Author)
- 2024 Neurocomputing: Enhancing code summarization with action word prediction (First author)
Research Experience
- Currently a Research Assistant at Shanghai Jiao Tong University, supervised by Professor Liang Hong.
Education
- Ph.D. in Computer Science and Technology from East China University of Science and Technology, supervised by Professor Huiqun Yu.
Background
- Research interests: deep learning for protein design.
