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2020 – today
- 2024
[c14]Ning Miao, Yee Whye Teh, Tom Rainforth:
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. ICLR 2024- [c13]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 - [i13]Ruoyu Zhang, Ruijie Fang, Elahe Hosseini, Chongzhou Fang, Ning Miao, Houman Homayoun:
Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection. CoRR abs/2409.06114 (2024) - 2023
- [c12]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: 2024-2037 - [c11]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: 8-17 - [c10]Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang:
Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. ICCAD 2023: 1-9 - [c9]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: 24720-24736 - [i12]Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang:
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. CoRR abs/2304.01990 (2023) - [i11]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 abs/2305.07209 (2023) - [i10]Ning Miao, Yee Whye Teh, Tom Rainforth:
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. CoRR abs/2308.00436 (2023) - [i9]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? CoRR abs/2310.12357 (2023) - 2022
- [c8]Hong Niu, Xia Lei, Yue Xiao, Ning Miao, Ming Xiao, Shahid Mumtaz:
On the Efficient Design of RIS-Assisted MIMO Transmission. GLOBECOM 2022: 2346-2351 - [c7]Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth:
On Incorporating Inductive Biases into VAEs. ICLR 2022 - [i8]Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim:
Learning Instance-Specific Data Augmentations. CoRR abs/2206.00051 (2022) - 2021
- [i7]Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth:
InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents. CoRR abs/2106.13746 (2021) - 2020
- [c6]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: 3436-3441 - [c5]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: 122-132 - [c4]Wenxian Shi, Hao Zhou, Ning Miao, Lei Li:
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. ICML 2020: 8840-8851 - [i6]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR abs/2007.06018 (2020) - [i5]Ning Miao, Yuxuan Song, Hao Zhou, Lei Li:
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR abs/2007.06162 (2020) - [i4]Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li:
Generating Fluent Adversarial Examples for Natural Languages. CoRR abs/2007.06174 (2020)
2010 – 2019
- 2019
- [c3]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI 2019: 6834-6842 - [c2]Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li:
Generating Fluent Adversarial Examples for Natural Languages. ACL (1) 2019: 5564-5569 - [c1]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. NeurIPS 2019: 12487-12497 - [i3]Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li:
Fixing Gaussian Mixture VAEs for Interpretable Text Generation. CoRR abs/1906.06719 (2019) - [i2]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. CoRR abs/1911.00274 (2019) - 2018
- [i1]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR abs/1811.10996 (2018)
Coauthor Index
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last updated on 2024-10-14 23:30 CEST by the dblp team
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