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
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
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