Ning Miao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Text Generation

Density Ratio Estimation

Metropolis Hastings

Special Session

Top Venues

Publications

Ning Miao, Yee Whye Teh, Tom Rainforth
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. ICLR (2024)
Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? USENIX Security Symposium (2024)
Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CoRR (2023)
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Augmentations by Capturing Local Invariances. ICML (2023)
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
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS (2023)
Ning Miao, Yee Whye Teh, Tom Rainforth
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. CoRR (2023)
Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? CoRR (2023)
Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. CoRR (2023)
Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun
Gotcha! I Know What You Are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CCS (2023)
Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang
Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. ICCAD (2023)
Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
On Incorporating Inductive Biases into VAEs. ICLR (2022)
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Data Augmentations. CoRR (2022)
Hong Niu, Xia Lei, Yue Xiao, Ning Miao, Ming Xiao, Shahid Mumtaz
On the Efficient Design of RIS-Assisted MIMO Transmission. GLOBECOM (2022)
Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth
InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents. CoRR (2021)
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
Generating Fluent Adversarial Examples for Natural Languages. CoRR (2020)
Wenxian Shi, Hao Zhou, Ning Miao, Lei Li
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. ICML (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR (2020)
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR (2020)
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS (2020)
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. ACL (2020)
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI (2019)
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
Kernelized Bayesian Softmax for Text Generation. NeurIPS (2019)
Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
Kernelized Bayesian Softmax for Text Generation. CoRR (2019)
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
Generating Fluent Adversarial Examples for Natural Languages. ACL (1) (2019)
Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li
Fixing Gaussian Mixture VAEs for Interpretable Text Generation. CoRR (2019)
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR (2018)