Jiangbin Zheng
Scholar

Jiangbin Zheng

Google Scholar ID: egz8bGQAAAAJ
Zhejiang University & Westlake University
AI for Life ScienceNatural Language ProcessingComputer VisionAI for Sign Language
Citations & Impact
All-time
Citations
841
 
H-index
13
 
i10-index
19
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction, ICASSP 2025.
  • 2. Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design, ICASSP 2025.
  • 3. MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign, ACM MULTIMEDIA 2024 (ACMMM 2024).
  • 4. Progressive Multi-Modality Learning for Inverse Protein Folding, ICME 2024 (Oral).
  • 5. CCPL: Cross-modal Contrastive Protein Learning, ICPR 2024.
  • 6. CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment, CVPR 2023 (Highlight/Oral presentation).
  • 7. Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings, ACL 2022.
  • 8. Enhancing Neural Sign Language Translation by Highlighting the Facial Expression Information, Neurocomputing, 2021.
  • 9. A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information, COLING 2020 (Co-1st Author).
  • 10. An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences, Computational.
Research Experience
  • 1. National Science and Technology Innovation - '2030 New Generation Artificial Intelligence', Major Project, 2022-2027, Implementation Leader, Westlake University, China.
  • 2. National Science and Technology Innovation, Major Project, 2022-2023, Implementation Leader, Westlake University, China.
Education
  • Degree: Ph.D. Candidate; School: Westlake University & Zhejiang University; Advisor: Prof. Stan Z. Li; Time: Current; Major: Artificial Intelligence.
Background
  • Research Interests: AI for Life Science, Multi-Modality, NLP, CV. Biography: Pursuing his Ph.D. at the AI Lab, Westlake University, under the supervision of Chair Prof. Stan Z. Li (IEEE Fellow, IAPR Fellow, Chief Scientist of BioMap). Currently focusing on AI applications in life science, such as AI + protein design, AI + enzyme engineering. Previously worked on NLP, CV, and multi-modality research (e.g., AI for Sign Language Translation) at NLP Lab, Xiamen University. During his Ph.D., he has received several major honors, including the Westlake Dean's Award and the National Scholarship of Zhejiang University.
Miscellany
  • Hobbies: Sports, Photography, Writing, Software Design.
Co-authors
0 total
Co-authors: 0 (list not available)