Ning Miao

According to our database, Ning Miao authored at least 18 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?

Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun

CoRR, 2023

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Ning Miao, Yee Whye Teh, Tom Rainforth

CoRR, 2023

Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification.

Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang

CoRR, 2023

Learning Instance-Specific Augmentations by Capturing Local Invariances.

Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim

Proceedings of the International Conference on Machine Learning, 2023

Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification.

Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches.

Nima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj P. D., Houman Homayoun, Benjamin Hettwer, Luca Parrini, Akash Kumar

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

Gotcha! I Know What You Are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links.

Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Learning Instance-Specific Data Augmentations.

Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim

CoRR, 2022

On Incorporating Inductive Biases into VAEs.

Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Efficient Design of RIS-Assisted MIMO Transmission.

Hong Niu, Xia Lei, Yue Xiao, Ning Miao, Ming Xiao, Shahid Mumtaz

Proceedings of the IEEE Global Communications Conference, 2022

2021

InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents.

Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth

CoRR, 2021

2020

Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation.

Wenxian Shi, Hao Zhou, Ning Miao, Lei Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.

Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods.

Ning Miao, Yuxuan Song, Hao Zhou, Lei Li

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Fixing Gaussian Mixture VAEs for Interpretable Text Generation.

Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li

CoRR, 2019

Kernelized Bayesian Softmax for Text Generation.

Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generating Fluent Adversarial Examples for Natural Languages.

Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling.

Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019