Hong, Liang

1. Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
   2022/04/01 by Jiayang Chen, Zhigang Hu, Chen, Jiayang +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. RiboDiffusion: Tertiary Structure-based RNA Inverse Folding with Generative Diffusion Models
   2024/04/17 by Han Huang, Huang, Han, Ziqian Lin +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
3. 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)
4. Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning
   2024/02/03 by Ziyi Zhou, Liang Zhang, Zhou, Ziyi +9 · 3 citations
   Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Genomics and Phylogenetic Studies #Genetics, Bioinformatics, and Biomedical Research
5. Design for Assurance: Employing Functional Verification Tools for Thwarting Hardware Trojan Threat in 3PIPs
   2023/11/21 by Wei Hu, Beibei Li, Hu, Wei +9 · 2 citations
   Computer Science · Neuroscience · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Neuroscience and Neural Engineering #Physical Unclonable Functions (PUFs) and Hardware Security #Security and Verification in Computing
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, Jiang, Jiyue, Pengan Chen +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, Martin, Ryan, Liang Hong +4 · 1 citation
   Mathematics · Medicine · #Statistical Methods and Inference #Pregnancy and preeclampsia studies #Statistical Methods and Bayesian Inference
9. ParaFold: Paralleling AlphaFold for Large-Scale Predictions
   2021/11/11 by Bozitao Zhong, Xiaoming Su, Zhong, Bozitao +9 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #FOS: Biological sciences #Machine Learning in Bioinformatics #Parallel Computing and Optimization Techniques #Protein Structure and Dynamics
10. Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
    2024/07/10 by Hu, Yutong, Tan, Yang, Han, Andi +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
11. Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
    2023/04/13 by Bingxin Zhou, Outongyi Lv, Zhou, Bingxin +11 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
12. Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?
    2024/06/28 by Yang Tan, Tan, Yang, Lirong Zheng +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)
13. Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
    2024/04/23 by Yang Tan, Mingchen Li, Tan, Yang +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
14. Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery
    2024/03/06 by Jingru Zhu, Zhu, Jingru, Ya Guo +7 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification #Remote-Sensing Image Classification
15. VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
    2025/05/17 by Yang Tan, Tan, Yang, Bozitao Zhong +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
16. 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)