The Simulation of Metal Sheet Pressing Based on ANN. - Zhaohu Deng; Yanqin Zhang; Yuping Huang; Feng Ruan (ICNC (2), 2007)

Study on Key Problems in Multi-stage Deep Drawing Numerical Simulation of Ultra-thin Sheet. - Feng Ruan; Langui Xu; Bo Wang (ICCMS, 2009)

A fuzzy-rough case-based learning approach for intelligent die design. - Chi Zhou; Feng Ruan; QingXiang Xia; ZhenYuan Huang (Int. J. Comput. Appl. Technol., 2009)

The Application of Switched Reluctance Motor in Electric Screw Press. - Fangyang Zhang; Feng Ruan (CSEE (2), 2011)

Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses. - John C. Duchi; Khashayar Khosravi; Feng Ruan (CoRR, 2016)

Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval. - John C. Duchi; Feng Ruan (CoRR, 2017)

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds. - Xiaolong Xu 001; Xuan Zhao 005; Feng Ruan; Jie Zhang 053; Wei Tian 002; Wanchun Dou; Alex X. Liu (Secur. Commun. Networks, 2017)

Minimax Bounds on Stochastic Batched Convex Optimization. - John C. Duchi; Feng Ruan; Chulhee Yun (COLT, 2018)

The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information. - John C. Duchi; Feng Ruan (CoRR, 2018)

Adapting to Unknown Noise Distribution in Matrix Denoising. - Andrea Montanari; Feng Ruan; Jun Yan (CoRR, 2018)

Stochastic Methods for Composite and Weakly Convex Optimization Problems. - John C. Duchi; Feng Ruan (SIAM J. Optim., 2018)

Efficient Placement of Meteorological Big Data Using NSGA-III in Cloud Environment. - Tao Huang; Feng Ruan; Shengjun Xue; Ranran Dai; Qin Yang (iThings/GreenCom/CPSCom/SmartData, 2019)

A QoS-Aware Workflow Scheduling Method for Cloudlet-Based Mobile Cloud Computing. - Wei Tian; Renhao Gu; Feng Ruan; Xihua Liu; Shucun Fu (iThings/GreenCom/CPSCom/SmartData, 2019)

DSM: a dynamic scheduling method for concurrent workflows in cloud environment. - Shengjun Xue; Yue Peng; Xiaolong Xu 001; Jie Zhang 053; Chao Shen; Feng Ruan (Clust. Comput., 2019)

A neural network with feature sparsity. - Ismael Lemhadri; Feng Ruan; Robert Tibshirani (CoRR, 2019)

A big data placement method using NSGA-III in meteorological cloud platform. - Feng Ruan; Renhao Gu; Tao Huang; Shengjun Xue (EURASIP J. Wirel. Commun. Netw., 2019)

Searching for Interactions: Why the Laplace Kernel is your Friend. - Keli Liu; Feng Ruan (CoRR, 2020)

Deep learning for real-time image steganalysis: a survey. - Feng Ruan; Xing Zhang 007; Dawei Zhu; Zhanyang Xu; Shaohua Wan 001; Lianyong Qi (J. Real Time Image Process., 2020)

Computation offloading for multimedia workflows with deadline constraints in cloudlet-based mobile cloud. - Tao Huang; Feng Ruan; Shengjun Xue; Lianyong Qi; Yucong Duan (Wirel. Networks, 2020)

A constrained risk inequality for general losses. - John C. Duchi; Feng Ruan (AISTATS, 2021)

LassoNet: Neural Networks with Feature Sparsity. - Ismael Lemhadri; Feng Ruan; Robert Tibshirani (AISTATS, 2021)

On the Self-Penalization Phenomenon in Feature Selection. - Michael I. Jordan; Keli Liu; Feng Ruan (CoRR, 2021)

LassoNet: A Neural Network with Feature Sparsity. - Ismael Lemhadri; Feng Ruan; Louis Abraham; Robert Tibshirani (J. Mach. Learn. Res., 2021)

Bandit Learning in Decentralized Matching Markets. - Lydia T. Liu; Feng Ruan; Horia Mania; Michael I. Jordan (J. Mach. Learn. Res., 2021)

Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. - Koulik Khamaru; Ashwin Pananjady; Feng Ruan; Martin J. Wainwright; Michael I. Jordan (SIAM J. Math. Data Sci., 2021)

FastCPH: Efficient Survival Analysis for Neural Networks. - Xuelin Yang; Louis Abraham; Sejin Kim; Petr Smirnov; Feng Ruan; Benjamin Haibe-Kains; Robert Tibshirani (CoRR, 2022)

Low-Cost Metamaterial Antennas: Forward-Looking Imaging Experiment and Analysis. - Feng Ruan; Liang Han; Baoheng Zhang; Yachao Li; Liang Guo 002 (Sensors, 2022)

Universally Instance-Optimal Mechanisms for Private Statistical Estimation. - Hilal Asi; John C. Duchi; Saminul Haque; Zewei Li; Feng Ruan (COLT, 2024)

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules. - Xiang Li; Feng Ruan; Huiyuan Wang; Qi Long; Weijie J. Su (CoRR, 2024)

Nonparametric Modern Hopfield Models. - Jerry Yao-Chieh Hu; Bo-Yu Chen; Dennis Wu; Feng Ruan; Han Liu 001 (CoRR, 2024)

On the Limitation of Kernel Dependence Maximization for Feature Selection. - Keli Liu; Feng Ruan (CoRR, 2024)

Robust Detection of Watermarks for Large Language Models Under Human Edits. - Xiang Li; Feng Ruan; Huiyuan Wang; Qi Long; Weijie J. Su (CoRR, 2024)

Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition. - Shujie Wu; Wei Wang 099; Jie Deng 004; Sinong Quan; Feng Ruan; Pengcheng Guo; Hongqi Fan (Remote. Sens., 2024)

On the kernel learning problem. - Yang Li; Feng Ruan (CoRR, 2025)