Ning Miao - RankMe

38 papers A* 9A 2B 1C 1Misc 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Not All Steps are Informative: On the Linearity of LLMs' RLVR Training. CoRR Tianle Wang, Zhongyuan Wu, Shenghao Jin, Hao Xu, Wei Chen, Ning Miao
2026	J	`jnl`	SkillCraft: Can LLM Agents Learn to Use Tools Skillfully? CoRR Shiqi Chen, Jingze Gai, Ruochen Zhou, Jinghan Zhang, Tongyao Zhu, Junlong Li, Kangrui Wang, Zihan Wang, Zhengyu Chen, Klara Kaleb, Ning Miao, Siyang Gao, Cong Lu, Manling Li, Junxian He, Yee Whye Teh
2026	J	`jnl`	Step-Level Sparse Autoencoder for Reasoning Process Interpretation. CoRR Xuan Yang, Jiayu Liu, Yuhang Lai, Hao Xu, Zhenya Huang, Ning Miao
2025	J	`jnl`	BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design. CoRR Deepro Choudhury, Sinead Williamson, Adam Golinski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth
2025	J	`jnl`	Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey. CoRR Qiyuan Liu, Hao Xu, Xuhong Chen, Wei Chen, Yee Whye Teh, Ning Miao
2025	J	`jnl`	Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG. CoRR Wei Shao, Zequan Liang, Ruoyu Zhang, Ruijie Fang, Ning Miao, Ehsan Kourkchi, Setareh Rafatirad, Houman Homayoun, Chongzhou Fang
2025	—	`conf`	LightBench: A Hardware-Aware Trusted Execution Platform for Intelligent Malware Detection at the Edge. ACM Great Lakes Symposium on VLSI Ning Miao, Hossein Sayadi, Kumara Srivatsa Kondapalli, Mahdi Eslamimehr, Houman Homayoun
2025	J	`jnl`	MARCOS: Deep Thinking by Markov Chain of Continuous Thoughts. CoRR Jiayu Liu, Zhenya Huang, Anya Sims, Enhong Chen, Yee Whye Teh, Ning Miao
2025	—	`conf`	Navigating the Trilemma: Security, Power, and Performance Trade-Offs in Bluetooth Low Energy. ISQED Ning Miao, Chongzhou Fang, Ruijie Fang, Ruoyu Zhang, Mahdi Eslamimehr, Setareh Rafatirad, Hossein Sayadi, Houman Homayoun
2025	J	`jnl`	Verifying Large Language Models' Reasoning Paths via Correlation Matrix Rank. CoRR Jia-Yu Liu, Wei Dai, Zhenya Huang, Ning Miao, Enhong Chen
2024	C	`conf`	Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection. BSN Ruoyu Zhang, Ruijie Fang, Elahe Hosseini, Chongzhou Fang, Ning Miao, Houman Homayoun
2024	J	`jnl`	Advanced Energy-Efficient System for Precision Electrodermal Activity Monitoring in Stress Detection. CoRR Ruoyu Zhang, Ruijie Fang, Elahe Hosseini, Chongzhou Fang, Ning Miao, Houman Homayoun
2024	A*	`conf`	Large Language Models for Code Analysis: Do LLMs Really Do Their Job? USENIX Security Symposium Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun
2024	A*	`conf`	SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. ICLR Ning Miao, Yee Whye Teh, Tom Rainforth
2023	A*	`conf`	Gotcha! I Know What You Are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CCS Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun
2023	J	`jnl`	Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CoRR Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun
2023	J	`jnl`	Large Language Models for Code Analysis: Do LLMs Really Do Their Job? CoRR Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun
2023	A*	`conf`	Learning Instance-Specific Augmentations by Capturing Local Invariances. ICML Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
2023	J	`jnl`	SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. CoRR Ning Miao, Yee Whye Teh, Tom Rainforth
2023	A	`conf`	Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. ICCAD Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang
2023	J	`jnl`	Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. CoRR Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang
2023	Misc	`conf`	Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS 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
2022	J	`jnl`	Learning Instance-Specific Data Augmentations. CoRR Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
2022	A*	`conf`	On Incorporating Inductive Biases into VAEs. ICLR Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
2022	B	`conf`	On the Efficient Design of RIS-Assisted MIMO Transmission. GLOBECOM Hong Niu, Xia Lei, Yue Xiao, Ning Miao, Ming Xiao, Shahid Mumtaz
2021	J	`jnl`	InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents. CoRR Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth
2020	A*	`conf`	Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. ICML Wenxian Shi, Hao Zhou, Ning Miao, Lei Li
2020	J	`jnl`	Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
2020	A*	`conf`	Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. ACL Ning Miao, Yuxuan Song, Hao Zhou, Lei Li
2020	J	`jnl`	Generating Fluent Adversarial Examples for Natural Languages. CoRR Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
2020	A	`conf`	Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2020	J	`jnl`	Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2019	A*	`conf`	CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
2019	J	`jnl`	Fixing Gaussian Mixture VAEs for Interpretable Text Generation. CoRR Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li
2019	—	`conf`	Generating Fluent Adversarial Examples for Natural Languages. ACL (1) Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
2019	A*	`conf`	Kernelized Bayesian Softmax for Text Generation. NeurIPS Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
2019	J	`jnl`	Kernelized Bayesian Softmax for Text Generation. CoRR Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
2018	J	`jnl`	CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li