Liang Hong

1. Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
   2022/04/01 by Jiayang Chen, Chen, Jiayang, Zhigang Hu +20 · 16 citations
   Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms #RNA modifications and cancer
2. Deep generative design of RNA aptamers using structural predictions
   2024/11/06 by Felix Wong, Dongchen He, Aarti Krishnan +17 · 2 voices · 13 citations
   Biochemistry, Genetics and Molecular Biology · #RNA and protein synthesis mechanisms #Advanced biosensing and bioanalysis techniques #DNA and Nucleic Acid Chemistry
3. RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
   2024/04/17 by Han Huang, Ziqian Lin, Huang, Han +7 · 6 citations
   Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #FOS: Biological sciences #RNA Research and Splicing #RNA and protein synthesis mechanisms #RNA modifications and cancer
4. On overfitting and post-selection uncertainty assessments
   2017/12/06 by Liang Hong, Hong, Liang, Todd A. Kuffner +3 · 2 citations
   Engineering · Mathematics · #62F99 #Advanced Statistical Methods and Models #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
5. Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning
   2024/02/03 by Ziyi Zhou, Zhou, Ziyi, Liang Zhang +9 · 3 citations
   Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Genetics, Bioinformatics, and Biomedical Research
6. Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
   2024/10/28 by Yang Tan, Ruilin Wang, Tan, Yang +7 · 4 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Machine Learning in Bioinformatics #Genetics, Bioinformatics, and Biomedical Research
7. Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
   2025/03/06 by Jiyue Jiang, Pengan Chen, Jiang, Jiyue +28 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Bioinformatics #Topic Modeling
8. A note on Bayesian convergence rates under local prior support\n conditions
   2012/01/15 by Ryan R. Martin, Liang Hong, Martin, Ryan +4 · 1 citation
   Mathematics · Medicine · #Statistical Methods and Inference #Pregnancy and preeclampsia studies #Statistical Methods and Bayesian Inference
9. Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
   2024/06/28 by Yang Tan, Lirong Zheng, Tan, Yang +7 · 3 citations
   Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Genomics and Phylogenetic Studies #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM)
10. Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
    2024/04/23 by Yang Tan, Tan, Yang, Mingchen Li +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Microbial Metabolic Engineering and Bioproduction #Protein Structure and Dynamics
11. VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
    2025/05/17 by Yang Tan, Tan, Yang, Gou, Wenrui +8 · 3 citations
    Biochemistry, Genetics and Molecular Biology · #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches
12. Conformal prediction of future insurance claims in the regression problem
    2025/03/05 by Liang Hong, Hong, Liang · 2 citations
    Business, Management and Accounting · Economics, Econometrics and Finance · Social Sciences · #62P05 #91G05 #Applications (stat.AP) #Economic and Technological Systems Analysis #FOS: Computer and information sciences #Insurance and Financial Risk Management #Insurance, Mortality, Demography, Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Protein engineering in the deep learning era
    2024/12/01 by Bingxin Zhou, Yang Tan, Yutong Hu +3 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #vaccines and immunoinformatics approaches #RNA and protein synthesis mechanisms
14. WARA: A Closed-Loop Multi-Agent Framework for Wireless Optimization Autoresearch
    2026/07/22 by Yuan Guo, Yilong Chen, Chao Hu +3
    #eess.SP