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Feng Ruan
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2020 – today
- 2024
- [j12]Shujie Wu, Wei Wang, Jie Deng
, Sinong Quan
Nearshore Ship Detection in PolSAR Images by Integrating Superpixel-Level GP-PNF and Refined Polarimetric Decomposition. Remote. Sens. 16(6): 1095 (2024) - [c9]Hilal Asi, John C. Duchi, Saminul Haque, Zewei Li, Feng Ruan:
Universally Instance-Optimal Mechanisms for Private Statistical Estimation. COLT 2024: 221-259 - [i13]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 abs/2404.01245 (2024) - [i12]Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu:
Nonparametric Modern Hopfield Models. CoRR abs/2404.03900 (2024) - [i11]Keli Liu, Feng Ruan:
On the Limitation of Kernel Dependence Maximization for Feature Selection. CoRR abs/2406.06903 (2024) - 2022
- [j11]Feng Ruan, Liang Han, Baoheng Zhang, Yachao Li
Low-Cost Metamaterial Antennas: Forward-Looking Imaging Experiment and Analysis. Sensors 22(15): 5563 (2022) - [i10]Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani:
FastCPH: Efficient Survival Analysis for Neural Networks. CoRR abs/2208.09793 (2022) - 2021
- [j10]Ismael Lemhadri, Feng Ruan, Louis Abraham, Robert Tibshirani:
LassoNet: A Neural Network with Feature Sparsity. J. Mach. Learn. Res. 22: 127:1-127:29 (2021) - [j9]Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan:
Bandit Learning in Decentralized Matching Markets. J. Mach. Learn. Res. 22: 211:1-211:34 (2021) - [j8]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): 1013-1040 (2021) - [c8]Ismael Lemhadri, Feng Ruan, Robert Tibshirani:
LassoNet: Neural Networks with Feature Sparsity. AISTATS 2021: 10-18 - [c7]John C. Duchi, Feng Ruan:
A constrained risk inequality for general losses. AISTATS 2021: 802-810 - [i9]Michael I. Jordan, Keli Liu, Feng Ruan:
On the Self-Penalization Phenomenon in Feature Selection. CoRR abs/2110.05852 (2021) - 2020
- [j7]Feng Ruan, Xing Zhang, Dawei Zhu, Zhanyang Xu, Shaohua Wan
Deep learning for real-time image steganalysis: a survey. J. Real Time Image Process. 17(1): 149-160 (2020) - [j6]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): 5535-5549 (2020) - [i8]Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan:
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. CoRR abs/2003.07337 (2020) - [i7]Keli Liu, Feng Ruan:
Searching for Interactions: Why the Laplace Kernel is your Friend. CoRR abs/2011.12215 (2020) - [i6]Lydia T. Liu, Feng Ruan, Horia Mania, Michael I. Jordan:
Bandit Learning in Decentralized Matching Markets. CoRR abs/2012.07348 (2020)
2010 – 2019
- 2019
- [j5]Shengjun Xue, Yue Peng, Xiaolong Xu
DSM: a dynamic scheduling method for concurrent workflows in cloud environment. Clust. Comput. 22(Suppl 1): 693-706 (2019) - [j4]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: 143 (2019) - [c6]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: 164-169 - [c5]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: 569-574 - [i5]Ismael Lemhadri, Feng Ruan, Robert Tibshirani:
A neural network with feature sparsity. CoRR abs/1907.12207 (2019) - 2018
- [j3]John C. Duchi, Feng Ruan:
Stochastic Methods for Composite and Weakly Convex Optimization Problems. SIAM J. Optim. 28(4): 3229-3259 (2018) - [c4]John C. Duchi, Feng Ruan, Chulhee Yun:
Minimax Bounds on Stochastic Batched Convex Optimization. COLT 2018: 3065-3162 - [i4]John C. Duchi, Feng Ruan:
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information. CoRR abs/1806.05756 (2018) - [i3]Andrea Montanari, Feng Ruan, Jun Yan:
Adapting to Unknown Noise Distribution in Matrix Denoising. CoRR abs/1810.02954 (2018) - 2017
- [j2]Xiaolong Xu
Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds. Secur. Commun. Networks 2017: 2376484:1-2376484:15 (2017) - [i2]John C. Duchi, Feng Ruan:
Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval. CoRR abs/1705.02356 (2017) - 2016
- [i1]John C. Duchi, Khashayar Khosravi, Feng Ruan:
Information Measures, Experiments, Multi-category Hypothesis Tests, and Surrogate Losses. CoRR abs/1603.00126 (2016) - 2011
- [c3]Fangyang Zhang, Feng Ruan:
The Application of Switched Reluctance Motor in Electric Screw Press. CSEE (2) 2011: 267-271
2000 – 2009
- 2009
- [j1]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): 76-83 (2009) - [c2]Feng Ruan, Langui Xu, Bo Wang:
Study on Key Problems in Multi-stage Deep Drawing Numerical Simulation of Ultra-thin Sheet. ICCMS 2009: 310-312 - 2007
- [c1]Zhaohu Deng, Yanqin Zhang, Yuping Huang, Feng Ruan:
The Simulation of Metal Sheet Pressing Based on ANN. ICNC (2) 2007: 70-74
Coauthor Index
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