research

interests

  • AI for Science
  • Computational Biology
  • Natural Language Processing
  • Parallel Algorithms

publications

Also on Google Scholar.

2026

  1. ISMB
    Probabilistic RNA Designability via Interpretable Ensemble Approximation and Dynamic Decomposition
    Tianshuo Zhou, David H. Mathews, and Liang Huang
    Bioinformatics (Proceedings of ISMB 2026), 2026
  2. JCB
    Theory, Algorithms, and Applications for Identification of Undesignable RNA Secondary Structures and Motifs
    Tianshuo Zhou, Wei Yu Tang, Apoorv Malik, David H. Mathews, and Liang Huang
    Journal of Computational Biology, 2026
  3. Nat. Commun.
    SamplingDesign: RNA Design via Continuous Optimization with Coupled Variables and Monte-Carlo Sampling
    Wei Yu Tang, Ning Dai, Tianshuo Zhou, David H. Mathews, and Liang Huang
    Nature Communications, 2026
  4. JMB
    Motif Server: Web Server for Undesignable RNA Motifs and Structures
    Apoorv Malik, Tianshuo Zhou, Wei Yu Tang, David H. Mathews, and Liang Huang
    Journal of Molecular Biology, 2026

2025

  1. RECOMB
    Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance
    Tianshuo Zhou, Apoorv Malik, Wei Yu Tang, David H. Mathews, and Liang Huang
    In Proceedings of RECOMB 2025, 2025
  2. ISMB
    Messenger RNA Design for Ensemble Free Energy via Probabilistic Lattice Parsing
    Ning Dai, Tianshuo Zhou, Wei Yu Tang, David H. Mathews, and Liang Huang
    Bioinformatics (Proceedings of ISMB 2025), 2025

2024

  1. RECOMB
    Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition
    Tianshuo Zhou, Wei Yu Tang, David H. Mathews, and Liang Huang
    In Proceedings of RECOMB 2024, 2024

2023

  1. ISMB
    RNA Design via Structure-Aware Multi-Frontier Ensemble Optimization
    Tianshuo Zhou, Ning Dai, Sizhen Li, Max Ward, David H. Mathews, and Liang Huang
    Bioinformatics (Proceedings of ISMB 2023), 2023

2020

  1. WSDM
    GREASE: A Generative Model for Relevance Search over Knowledge Graphs
    Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, and Yu’Ang Wei
    In Proceedings of WSDM 2020, 2020

2019

  1. WSDM
    Relevance Search over Schema-Rich Knowledge Graphs
    Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, and Yuzhong Qu
    In Proceedings of WSDM 2019, 2019

preprints

  1. Preprint
    Title withheld during anonymous review (a paper on using LLMs to generate biological sequences)
    …, Tianshuo Zhou, and others
    Under review at ICLR 2027
  2. Preprint
    Fast and Versatile RNA Design via Motif-level Divide-and-Conquer and Structure-level Rival Search
    Tianshuo Zhou, David H. Mathews, and Liang Huang
  3. Preprint
    Sampling-based Continuous Optimization for Messenger RNA Design
    Feipeng Yue, Ning Dai, Wei Yu Tang, Tianshuo Zhou, David H. Mathews, and Liang Huang
  4. Preprint
    Geometry-Aware Losses for Structure-Preserving Text-to-Sign Language Generation
    Zetian Wu, Tianshuo Zhou, Stefan Lee, and Liang Huang

academic service

  • Reviewer: ACL (2026), Bioinformatics (2026, 2025), ACM BCB (2026, 2025), Computational and Structural Biotechnology Journal (2026), PeerJ (2026), Journal of Computational Biology (2026), Nature Communications (2024)
  • Co-Reviewer: RECOMB (2026), ISMB (2025, 2024, 2023)