Wu, Jialu

1. Sample-efficient Multi-objective Molecular Optimization with GFlowNets
   2023/02/08 by Yiheng Zhu, Zhu, Yiheng, Jialu Wu +10 · 10 citations
   Computer Science · Engineering · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Process Optimization and Integration
2. Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
   2024/11/04 by Zhu, Yiheng, Wu, Jialu, Li, Qiuyi +7 · 3 citations
   #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation
   2023/05/15 by Zhu, Yiheng, Ouyang, Zhenqiu, Liao, Ben +5 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Generative AI for Controllable Protein Sequence Design: A Survey
   2024/02/16 by Zhu, Yiheng, Kong, Zitai, Wu, Jialu +6 · 1 citation
   #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. ProtFlow: Fast Protein Sequence Design via Flow Matching on Compressed Protein Language Model Embeddings
   2025/04/15 by Zitai Kong, Yiheng Zhu, Kong, Zitai +16 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Medicine · #vaccines and immunoinformatics approaches #Monoclonal and Polyclonal Antibodies Research #Machine Learning in Bioinformatics
6. S²ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning
   2024/11/20 by Mingze Yin, Yin, Mingze, Hanjing Zhou +19 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Medicine · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Glycosylation and Glycoproteins Research #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #vaccines and immunoinformatics approaches