World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
7068
World Ranking
8845
National Ranking
3774

Overview

Liang Huang is affiliated with Oregon State University in the United States. Their research spans multiple disciplines, primarily focusing on the intersection of biochemistry, genetics, molecular biology, and computer science.

The scientist has contributed extensively to the fields of biochemistry, genetics and molecular biology, with 76 publications, and computer science, with 28 publications. Within these broader fields, their work delves into specific subfields including:

  • Molecular Biology
  • Artificial Intelligence
  • Infectious Diseases
  • Animal Science and Zoology
  • Cardiology and Cardiovascular Medicine

Liang Huang's main research topics reflect interests in both biological and computational approaches:

  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Natural Language Processing Techniques
  • Topic Modeling
  • RNA Interference and Gene Delivery
  • Animal Virus Infections Studies

The scientist has coauthored many papers with several frequent collaborators, indicating sustained research partnerships. These coauthors include:

  • David H. Mathews (25 coauthored papers)
  • He Zhang (17 coauthored papers)
  • Liang Zhang (15 coauthored papers)
  • Sizhen Li (15 coauthored papers)
  • Tianshuo Zhou (8 coauthored papers)

Liang Huang's publications appear predominantly in venues such as:

  • arXiv (Cornell University) with 13 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 5 publications
  • Bioinformatics with 3 publications
  • SSRN Electronic Journal with 3 publications
  • Nucleic Acids Research with 2 publications

Some recent papers authored or coauthored by Liang Huang include:

  • "Comparative multiomics analyses reveal the breed effect on the colonic host-microbe interactions in pig" (2024, iMetaOmics.)
  • "Algorithm for optimized mRNA design improves stability and immunogenicity" (2023, Nature)
  • "Generation and Functional Analysis of Defective Viral Genomes during SARS-CoV-2 Infection" (2023, mBio)
  • "LinearPartition: linear-time approximation of RNA folding partition function and base-pairing probabilities" (2020, Bioinformatics)
  • "CoV-Seq, a New Tool for SARS-CoV-2 Genome Analysis and Visualization: Development and Usability Study" (2020, Journal of Medical Internet Research)

Best Publications

  • Joint Event Extraction via Structured Prediction with Global Features

    Qi Li;Heng Ji;Liang Huang

  • Better k-best Parsing

    Liang Huang;David Chiang

  • Forest Rescoring: Faster Decoding with Integrated Language Models

    Liang Huang;David Chiang

  • Forest Reranking: Discriminative Parsing with Non-Local Features

    Liang Huang

  • Dynamic Programming for Linear-Time Incremental Parsing

    Liang Huang;Kenji Sagae

  • Atomic engineering of single-atom nanozymes for enzyme-like catalysis

    Weiwei Wu;Liang Huang;Liang Huang;Erkang Wang;Erkang Wang;Shaojun Dong;Shaojun Dong

  • bpRNA: large-scale automated annotation and analysis of RNA secondary structure.

    Padideh Danaee;Mason Rouches;Michelle Wiley;Dezhong Deng

  • Statistical syntax-directed translation with extended domain of locality

    Liang Huang;Kevin Knight;Aravind Joshi

  • LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search.

    Liang Huang;Liang Huang;He Zhang;Dezhong Deng;Kai Zhao

  • Forest-Based Translation

    Haitao Mi;Liang Huang;Qun Liu

  • Structured Perceptron with Inexact Search

    Liang Huang;Suphan Fayong;Yang Guo

  • STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework

    Mingbo Ma;Liang Huang;Hao Xiong;Renjie Zheng

  • Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

    Shuangli Li;Jingbo Zhou;Tong Xu;Liang Huang

  • Progress in Machine Translation

    Haifeng Wang;Hua Wu;Zhongjun He;Liang Huang

  • Synchronous Binarization for Machine Translation

    Hao Zhang;Liang Huang;Daniel Gildea;Kevin Knight

  • Dependency-based Convolutional Neural Networks for Sentence Embedding

    Mingbo Ma;Liang Huang;Bowen Zhou;Bing Xiang

  • Forest-based Translation Rule Extraction

    Haitao Mi;Liang Huang

  • A Cascaded Linear Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging

    Wenbin Jiang;Liang Huang;Qun Liu;Yajuan L"u

  • Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles.

    James Cross;Liang Huang

  • Self-dissociation-assembly of ultrathin metal-organic framework nanosheet arrays for efficient oxygen evolution

    Liang Huang;Liang Huang;Ge Gao;Ge Gao;He Zhang;He Zhang;Jinxing Chen;Jinxing Chen

  • Dependency-based Convolutional Neural Networks for Sentence Embedding

    Mingbo Ma;Liang Huang;Bing Xiang;Bowen Zhou

Frequent Co-Authors

Shaojun Dong
Shaojun Dong Chinese Academy of Sciences
David H. Mathews
David H. Mathews University of Rochester Medical Center
Qun Liu
Qun Liu Huawei Technologies (China)
Kenneth Church
Kenneth Church Baidu (China)
Bing Xiang
Bing Xiang Amazon (United States)
Bowen Zhou
Bowen Zhou IBM (United States)
Kevin Knight
Kevin Knight University of Southern California
Haifeng Wang
Haifeng Wang Baidu (China)
Hua Wu
Hua Wu Baidu (China)
Daniel Gildea
Daniel Gildea University of Rochester

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