interests · publications · preprints · service
interests
- AI for Science
- Computational Biology
- Natural Language Processing
- Parallel Algorithms
publications
Also on Google Scholar.
2026
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Probabilistic RNA Designability via Interpretable Ensemble Approximation and Dynamic Decomposition
Tianshuo Zhou, David H. Mathews, and Liang Huang
Bioinformatics (Proceedings of ISMB 2026), 2026
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Title withheld during anonymous review (a paper on using LLMs to generate biological sequences)
…, Tianshuo Zhou, and others
Under review at ICLR 2027
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Fast and Versatile RNA Design via Motif-level Divide-and-Conquer and Structure-level Rival Search
Tianshuo Zhou, David H. Mathews, and Liang Huang
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Sampling-based Continuous Optimization for Messenger RNA Design
Feipeng Yue, Ning Dai, Wei Yu Tang, Tianshuo Zhou, David H. Mathews, and Liang Huang
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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)