About me

I am a third-year Ph.D. student supervised by Professor Liang Huang in the Electrical Engineering & Computer Science Department at Oregon State University.

My research interests include Computational Biology and Natural Language Processing.

I got my Master degree (Computer Science) and Bachelor degree (Communication Engineering) from the Beijing University of Posts and Telecommunications.


[Jun. 2020 - Jun. 2022] Research intern in IDL lab at Baidu USA supervised by He Zhang and Professor Liang Huang. Focused on structure prediction and alignment of RNA/protein homologous sequences.

[Nov. 2018 - Jun. 2019] Research intern in AI Lab at Bytedance Technology supervised by Yang Wang and Professor Hang Li. Focused on Natural Language Processing.


Juneki Hong1, Sizhen Li1, He Zhang, Yanju Li, Liang Huang*. Deep Learning for Improving Protein Tertiary Structure Prediction. In progress.

Sizhen Li, He Zhang, Liang Zhang, Kaibo Liu, Boxiang Liu, David H. Mathews*, Liang Huang*. LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2. Proceedings of the National Academy of Sciences of the United States of America (PNAS): 2021-11. [code]

He Zhang1, Sizhen Li1, Liang Zhang, David H. Mathews, Liang Huang*. LinearCoFold and LinearCoPartition: Linear-Time Secondary Structure Prediction Algorithms of Interacting RNA molecules. In progress.

Liang Zhang, Sizhen Li, He Zhang, David H. Mathews, Liang Huang*. LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments. arXiv: 2022-06.

He Zhang, Liang Zhang, Sizhen Li, David H. Mathews, Liang Huang*. LazySampling and LinearSampling: Fast Stochastic Sampling of RNA Secondary Structure with Applications to SARS-CoV-2. BioRxiv: 2021-11.

Sizhen Li, Shuai Zhao, Bo Cheng, Hao Yang. An End-to-End Multi-task Learning Model for Fact Checking. Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). EMNLP, 2018: 138.


Email: annlisizhen (at) gmail (dot) com