Ning Miao (苗宁)
Department of Data Science, City University of Hong Kong
Email: ningmiao
cityu.edu.hk , miaoningpku.edu.cn
I am an assistant professor at the Department of Data Science, City University of Hong Kong. I got my Ph.D. from the Department of Statistics, Oxford, supervised by Prof. Tom Rainforth and Prof. Yee Whye Teh. Before that, I got my BS and MS degrees from Peking University and worked as a researcher at Bytedance AI lab. My research interests include machine reasoning (mainly LLM reasoning), generative models, and, more generally, machine learning.
News
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* June 2025: We are recruiting new RAs, LLM engineers, postdocs, and research assistant professors! If you would love to do a Ph.D. (starting from 2026 Fall) in the group, please consider joining the group as an RA first, because we give priority to our RAs in Ph.D. admission. To apply, please send me an email with your detailed CV. Please notice that only short-listed candidates will be contacted.
Publications
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SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
In ICLR, 2024.
[bib] [pdf] [code] -
Learning Instance-Specific Augmentations by Capturing Local Invariances
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
In ICML, 2023.
[bib] [pdf] [code] -
On Incorporating Inductive Biases into VAEs
Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
In ICLR, 2022.
[bib] [pdf] [code] -
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
Ning Miao, YuXuan Song, Hao Zhou, Lei Li
In ACL, 2020.
[bib] [pdf] [code] -
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li
In ICML, 2020.
[bib] [pdf] [code] -
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
YuXuan Song, Ning Miao, Hao Zhou, Lei Li
In AISTATS, 2020.
[bib] [pdf] -
Kernelized Bayesian Softmax for Text Generation
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
In NeurIPS, 2019.
[bib] [pdf] [code] -
Generating Fluent Adversarial Examples for Natural Languages
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
In ACL, 2019.
[bib] [pdf] [code] -
Constrained Sentence Generation via Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
In AAAI, 2019.
[bib] [pdf] [code]
Technical Blogs
- [23/June/2025] Entropy Maximization Alone Can Improve LLM Reasoning Performance? [Notion]
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