I am a Ph.D. student in Computer Science at Oregon State University, advised by Professor Liang Huang. I received my M.S. in Computer Science from Nanjing University in 2020 and my B.E. from Southeast University in 2017. Before starting my Ph.D., I worked as a Machine Learning Engineer at ByteDance from July 2020 to August 2021.
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Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance.
(RECOMB 2025)
[pdf]
[server]
[code]
Tianshuo Zhou, Apoorv Malik, Wei Yu Tang, David H. Mathews, Liang Huang.
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Theory, Algorithms, and Applications for Undesignability of RNA Structures and Motifs. (To appear in Journal of Molecular Biology)
Tianshuo Zhou, Apoorv Malik, Wei Yu Tang, David H. Mathews, Liang Huang.
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Messenger RNA Design for Ensemble Free Energy via Probabilistic Lattice Parsing. (ISMB 2025)
Ning Dai, Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang.
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Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition.
(RECOMB 2024) [pdf] [code]
Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang.
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Sampling-based Continuous Optimization with Coupled Variables for RNA Design.
(Nature Communications, Under Revision) [pdf] Wei Yu Tang, Ning Dai, Tianshuo Zhou, David H. Mathews, Liang Huang.
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RNA Design via Structure-Aware Multi-Frontier Ensemble Optimization.
ISMB2023 [pdf] [code]
Tianshuo Zhou, Ning Dai, Sizhen Li, Max Ward, David H Mathews, Liang Huang.
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GREASE: A Generative Model for Relevance Search over Knowledge Graphs.
WSDM2020 [pdf] [code]
Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yu’Ang Wei.
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Relevance Search over Schema-Rich Knowledge Graphs.
WSDM2019 [pdf] [code]
Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z Pan, Yuzhong Qu.
