Ning Dai (戴宁)


This photo was taken during my internship at Mila.

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Welcome to my homepage!

Welcome! I am Ning Dai, a third-year PhD student in the School of Electrical Engineering and Computer Science at Oregon State University. I am privileged to work under the supervision of Prof. Liang Huang.

Prior to my PhD journey, I served as an undergraduate research assistant with the FudanNLP Group, under the mentorship of Prof. Xipeng Qiu.

Research Interests

My research is anchored in the intersections of Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL). My journey through these fields has led me to explore a spectrum of topics within these areas, ranging from Reinforcement Learning, Syntactic Parsing, Text Style Transfer and Self-supervised Representation Learning. As I continue to delve deeper into these domains, my current research focuses have shifted and expanded as follows:


LinearCoFold and LinearCoPartition: linear-time algorithms for secondary structure prediction of interacting RNA molecules (Nucleic Acids Research) [paper]

He Zhang, Sizhen Li, Ning Dai, Liang Zhang, David H Mathews, Liang Huang

RNA design via structure-aware multifrontier ensemble optimization (Bioinformatics) [paper]

Tianshuo Zhou, Ning Dai, Sizhen Li, Max Ward, David H Mathews, Liang Huang

LinearSankoff: Linear-time Simultaneous Folding and Alignment of RNA Homologs (arXiv preprint) [paper]

Sizhen Li, Ning Dai, He Zhang, Apoorv Malik, David H. Mathews, Liang Huang

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation (ACL 2019) [paper] [code]

Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang

A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation [paper]

Qipeng Guo, Zhijing Jin, Ning Dai, Xipeng Qiu, Xiangyang Xue, David Wipf, Zheng Zhang

Pre-trained Models for Natural Language Processing: A Survey [paper]

Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang


Tencent AI Lab Seattle

Jul 2023 ~ Sept 2023 ‖ Research Intern

Baidu Research USA

Jul 2022 ~ Sept 2022 ‖ Research Intern

ByteDance AI Lab

Sept 2020 ~ Aug 2021 ‖ Research Intern, MLNLC Group

AWS Shanghai AI Lab

Nov 2019 ~ Aug 2020 ‖ Applied Scientist Intern, Prof. Zheng Zhang’s Group

Montreal Institute for Learning Algorithms (Mila)

Jul 2019 ~ Oct 2019 ‖ Research Intern, Prof. Christopher Pal’s Group