Feng Ruan

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Hilbert Schmidt Independence Criterion

Statistical Estimation

Temporal Difference Learning

Top Venues

iThings/GreenCom/CPSCom/SmartData

J. Mach. Learn. Res.

Publications

Xiang Li, Feng Ruan, Huiyuan Wang, Qi Long, Weijie J. Su
A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules. CoRR (2024)
Keli Liu, Feng Ruan
On the Limitation of Kernel Dependence Maximization for Feature Selection. CoRR (2024)
Shujie Wu, Wei Wang, Jie Deng, Sinong Quan, Feng Ruan, Pengcheng Guo, Hongqi Fan
Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition. Remote. Sens. 16 (6) (2024)
Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu
Nonparametric Modern Hopfield Models. CoRR (2024)
Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan
Universally Instance-Optimal Mechanisms for Private Statistical Estimation. COLT (2024)
Feng Ruan, Liang Han, Baoheng Zhang, Yachao Li, Liang Guo
Low-Cost Metamaterial Antennas: Forward-Looking Imaging Experiment and Analysis. Sensors 22 (15) (2022)
Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani
FastCPH: Efficient Survival Analysis for Neural Networks. CoRR (2022)
Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. SIAM J. Math. Data Sci. 3 (4) (2021)
John C. Duchi, Feng Ruan
A constrained risk inequality for general losses. AISTATS (2021)
Michael I. Jordan, Keli Liu, Feng Ruan
On the Self-Penalization Phenomenon in Feature Selection. CoRR (2021)
Ismael Lemhadri, Feng Ruan, Robert Tibshirani
LassoNet: Neural Networks with Feature Sparsity. AISTATS (2021)
Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan
Bandit Learning in Decentralized Matching Markets. J. Mach. Learn. Res. 22 (2021)
Ismael Lemhadri, Feng Ruan, Louis Abraham, Robert Tibshirani
LassoNet: A Neural Network with Feature Sparsity. J. Mach. Learn. Res. 22 (2021)
Tao Huang, Feng Ruan, Shengjun Xue, Lianyong Qi, Yucong Duan
Computation offloading for multimedia workflows with deadline constraints in cloudlet-based mobile cloud. Wirel. Networks 26 (8) (2020)
Feng Ruan, Xing Zhang, Dawei Zhu, Zhanyang Xu, Shaohua Wan, Lianyong Qi
Deep learning for real-time image steganalysis: a survey. J. Real Time Image Process. 17 (1) (2020)
Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan
Bandit Learning in Decentralized Matching Markets. CoRR (2020)
Keli Liu, Feng Ruan
Searching for Interactions: Why the Laplace Kernel is your Friend. CoRR (2020)
Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR (2020)
Feng Ruan, Renhao Gu, Tao Huang, Shengjun Xue
A big data placement method using NSGA-III in meteorological cloud platform. EURASIP J. Wirel. Commun. Netw. 2019 (2019)
Shengjun Xue, Yue Peng, Xiaolong Xu, Jie Zhang, Chao Shen, Feng Ruan
DSM: a dynamic scheduling method for concurrent workflows in cloud environment. Clust. Comput. 22 (Suppl 1) (2019)
Ismael Lemhadri, Feng Ruan, Robert Tibshirani
A neural network with feature sparsity. CoRR (2019)
Wei Tian, Renhao Gu, Feng Ruan, Xihua Liu, Shucun Fu
A QoS-Aware Workflow Scheduling Method for Cloudlet-Based Mobile Cloud Computing. iThings/GreenCom/CPSCom/SmartData (2019)
Tao Huang, Feng Ruan, Shengjun Xue, Ranran Dai, Qin Yang
Efficient Placement of Meteorological Big Data Using NSGA-III in Cloud Environment. iThings/GreenCom/CPSCom/SmartData (2019)
Andrea Montanari, Feng Ruan, Jun Yan
Adapting to Unknown Noise Distribution in Matrix Denoising. CoRR (2018)
John C. Duchi, Feng Ruan
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information. CoRR (2018)
John C. Duchi, Feng Ruan, Chulhee Yun
Minimax Bounds on Stochastic Batched Convex Optimization. COLT (2018)
John C. Duchi, Feng Ruan
Stochastic Methods for Composite and Weakly Convex Optimization Problems. SIAM J. Optim. 28 (4) (2018)
Xiaolong Xu, Xuan Zhao, Feng Ruan, Jie Zhang, Wei Tian, Wanchun Dou, Alex X. Liu
Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds. Secur. Commun. Networks 2017 (2017)
John C. Duchi, Feng Ruan
Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval. CoRR (2017)
John C. Duchi, Khashayar Khosravi, Feng Ruan
Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses. CoRR (2016)
Fangyang Zhang, Feng Ruan
The Application of Switched Reluctance Motor in Electric Screw Press. CSEE (2) (2011)
Chi Zhou, Feng Ruan, QingXiang Xia, ZhenYuan Huang
A fuzzy-rough case-based learning approach for intelligent die design. Int. J. Comput. Appl. Technol. 35 (2/3/4) (2009)
Feng Ruan, Langui Xu, Bo Wang
Study on Key Problems in Multi-stage Deep Drawing Numerical Simulation of Ultra-thin Sheet. ICCMS (2009)
Zhaohu Deng, Yanqin Zhang, Yuping Huang, Feng Ruan
The Simulation of Metal Sheet Pressing Based on ANN. ICNC (2) (2007)