CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. - Ning Miao; Hao Zhou 012; Lili Mou; Rui Yan; Lei Li 005 (AAAI, 2019)

Generating Fluent Adversarial Examples for Natural Languages. - Huangzhao Zhang; Hao Zhou 012; Ning Miao; Lei Li 005 (ACL (1), 2019)

Kernelized Bayesian Softmax for Text Generation. - Ning Miao; Hao Zhou 012; Chengqi Zhao; Wenxian Shi; Lei Li 005 (NeurIPS, 2019)

Fixing Gaussian Mixture VAEs for Interpretable Text Generation. - Wenxian Shi; Hao Zhou 012; Ning Miao; Shenjian Zhao; Lei Li 005 (CoRR, 2019)

Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. - Ning Miao; Yuxuan Song; Hao Zhou 012; Lei Li 005 (ACL, 2020)

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. - Yuxuan Song; Ning Miao; Hao Zhou 012; Lantao Yu; Mingxuan Wang; Lei Li 005 (AISTATS, 2020)

Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. - Wenxian Shi; Hao Zhou 012; Ning Miao; Lei Li 005 (ICML, 2020)

InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents. - Ning Miao; Emile Mathieu; N. Siddharth 001; Yee Whye Teh; Tom Rainforth (CoRR, 2021)

On the Efficient Design of RIS-Assisted MIMO Transmission. - Hong Niu; Xia Lei; Yue Xiao 001; Ning Miao; Ming Xiao 001; Shahid Mumtaz (GLOBECOM, 2022)

On Incorporating Inductive Biases into VAEs. - Ning Miao; Emile Mathieu; Siddharth N; Yee Whye Teh; Tom Rainforth (ICLR, 2022)

Learning Instance-Specific Data Augmentations. - Ning Miao; Emile Mathieu; Yann Dubois; Tom Rainforth; Yee Whye Teh; Adam Foster 001; Hyunjik Kim (CoRR, 2022)

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 020; Jiacheng Zhou; Tyler Sheaves; John Marty Emmert; Avesta Sasan; Houman Homayoun (CCS, 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 001; Chongzhou Fang; Ning Miao; Han Wang 020; Sai Manoj P. D.; Houman Homayoun; et al. (CODES+ISSS, 2023)

Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. - Jialin Liu 006; Houman Homayoun; Chongzhou Fang; Ning Miao; Han Wang 020 (ICCAD, 2023)

Learning Instance-Specific Augmentations by Capturing Local Invariances. - Ning Miao; Tom Rainforth; Emile Mathieu; Yann Dubois; Yee Whye Teh; Adam Foster 001; Hyunjik Kim (ICML, 2023)

Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. - Jialin Liu 006; Ning Miao; Chongzhou Fang; Houman Homayoun; Han Wang 020 (CoRR, 2023)

Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection. - Ruoyu Zhang; Ruijie Fang; Elahe Hosseini; Chongzhou Fang; Ning Miao; Houman Homayoun (BSN, 2024)

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. - Ning Miao; Yee Whye Teh; Tom Rainforth (ICLR, 2024)

Large Language Models for Code Analysis: Do LLMs Really Do Their Job? - Chongzhou Fang; Ning Miao; Shaurya Srivastav; Jialin Liu 006; Ruoyu Zhang; Ruijie Fang; Asmita 001; Ryan Tsang; Najmeh Nazari; Han Wang 020; Houman Homayoun (USENIX Security Symposium, 2024)

LightBench: A Hardware-Aware Trusted Execution Platform for Intelligent Malware Detection at the Edge. - Ning Miao; Hossein Sayadi; Kumara Srivatsa Kondapalli; Mahdi Eslamimehr; Houman Homayoun (ACM Great Lakes Symposium on VLSI, 2025)

Navigating the Trilemma: Security, Power, and Performance Trade-Offs in Bluetooth Low Energy. - Ning Miao; Chongzhou Fang; Ruijie Fang; Ruoyu Zhang; Mahdi Eslamimehr; Setareh Rafatirad; Hossein Sayadi; Houman Homayoun (ISQED, 2025)

Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG. - Wei Shao; Zequan Liang; Ruoyu Zhang; Ruijie Fang; Ning Miao; Ehsan Kourkchi; Setareh Rafatirad; Houman Homayoun; Chongzhou Fang (CoRR, 2025)