Felix X. Yu

Most-cited papers

Advances and Open Problems in Federated Learning
Peter Kairouz, H. B. McMahan, Brendan Avent, A. Bellet +55 more
2019Found. Trends Mach. Learn.9,929 citations Open access
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Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný, H. B. McMahan, Felix X. Yu, A. Suresh +2 more
2016arXiv.org5,697 citations
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cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal, A. Suresh, Felix X. Yu, Sanjiv Kumar +1 more
2018Neural Information Processing Systems559 citations
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A Field Guide to Federated Optimization
Jianyu Wang, Zachary B. Charles, Zheng Xu, Gauri Joshi +49 more
2021arXiv.org497 citations
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Distributed Mean Estimation with Limited Communication
A. Suresh, Felix X. Yu, Sanjiv Kumar, H. B. McMahan
2016International Conference on Machine Learning413 citations
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Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xin-Yang Yi, D. Cheng, Felix X. Yu +7 more
2020International Conference on Information and Knowledge Management344 citations Open access
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An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Yu Cheng, Felix X. Yu, R. Feris, Sanjiv Kumar +2 more
2015IEEE International Conference on Computer Vision341 citations Open access
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Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang +1 more
2020International Conference on Learning Representations331 citations
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Modifying Memories in Transformer Models
Chen Zhu, A. Rawat, M. Zaheer, Srinadh Bhojanapalli +3 more
2020arXiv.org295 citations
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Orthogonal Random Features
Felix X. Yu, A. Suresh, K. Choromanski, D. Holtmann-Rice +1 more
2016Neural Information Processing Systems263 citations
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Designing Category-Level Attributes for Discriminative Visual Recognition
Felix X. Yu, Liang-Liang Cao, R. Feris, John R. Smith +1 more
20132013 IEEE Conference on Computer Vision and Pattern Recognition221 citations
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Circulant Binary Embedding
Felix X. Yu, Sanjiv Kumar, Yun-Chao Gong, Shih-Fu Chang
2014International Conference on Machine Learning186 citations
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Learning Spread-Out Local Feature Descriptors
Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang
2017IEEE International Conference on Computer Vision156 citations Open access
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AdaCliP: Adaptive Clipping for Private SGD
Venkatadheeraj Pichapati, A. Suresh, Felix X. Yu, Sashank J. Reddi +1 more
2019arXiv.org155 citations
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Deep Transfer Network: Unsupervised Domain Adaptation
Xu Zhang, Felix X. Yu, Shih-Fu Chang, Shengjin Wang
2015arXiv.org146 citations
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Video Event Detection by Inferring Temporal Instance Labels
Kuan-Ting Lai, Felix X. Yu, Ming-Syan Chen, Shih-Fu Chang
20142014 IEEE Conference on Computer Vision and Pattern Recognition135 citations
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Federated Learning with Only Positive Labels
Felix X. Yu, A. Rawat, A. Menon, Sanjiv Kumar
2020International Conference on Machine Learning129 citations
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SVM for learning with label proportions
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara +1 more
2013International Conference on Machine Learning129 citations
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Object-Based Visual Sentiment Concept Analysis and Application
Tao Chen, Felix X. Yu, Jiawei Chen, Yin Cui +2 more
2014ACM Multimedia125 citations
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Learning Discriminative and Transformation Covariant Local Feature Detectors
Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang
2017Computer Vision and Pattern Recognition112 citations
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Weak attributes for large-scale image retrieval
Felix X. Yu, R. Ji, Ming-Hen Tsai, Guang-Nan Ye +1 more
20122012 IEEE Conference on Computer Vision and Pattern Recognition101 citations
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On Learning with Label Proportions
Felix X. Yu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
2014arXiv.org96 citations
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Multiscale Quantization for Fast Similarity Search
Xiang Wu, Ruiqi Guo, A. Suresh, Sanjiv Kumar +3 more
2017Neural Information Processing Systems84 citations
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Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix X. Yu, Sanjiv Kumar
2015Neural Information Processing Systems82 citations
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Learning discrete distributions: user vs item-level privacy
Yu-Han Liu, A. Suresh, Felix X. Yu, Sanjiv Kumar +1 more
2020Neural Information Processing Systems64 citations
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Stochastic Negative Mining for Learning with Large Output Spaces
Sashank J. Reddi, Satyen Kale, Felix X. Yu, D. Holtmann-Rice +2 more
2018International Conference on Artificial Intelligence and Statistics63 citations
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Sampled Softmax with Random Fourier Features
A. Rawat, Jiecao Chen, Felix X. Yu, A. Suresh +1 more
2019Neural Information Processing Systems62 citations
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Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu, A. Dimakis, Sujay Sanghavi, Felix X. Yu +4 more
2018International Conference on Machine Learning61 citations
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$\propto$SVM for learning with label proportions
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara +1 more
2013International Conference on Machine Learning59 citations
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Self-supervised Learning for Deep Models in Recommendations
Tiansheng Yao, Xin-Yang Yi, D. Cheng, Felix X. Yu +6 more
2020arXiv.org53 citations
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Active query sensing for mobile location search
Felix X. Yu, R. Ji, Shih-Fu Chang
2011ACM Multimedia52 citations
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Fast Orthogonal Projection Based on Kronecker Product
Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar +2 more
2015IEEE International Conference on Computer Vision50 citations
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Fast Neural Networks with Circulant Projections
Yu Cheng, Felix X. Yu, R. Feris, Sanjiv Kumar +2 more
2015arXiv.org50 citations
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Heated-Up Softmax Embedding
Xu Zhang, Felix X. Yu, Svebor Karaman, Wei Zhang +1 more
2018arXiv.org48 citations
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RankDistil: Knowledge Distillation for Ranking
Sashank J. Reddi, Rama Kumar Pasumarthi, A. Menon, A. Rawat +4 more
2021International Conference on Artificial Intelligence and Statistics47 citations
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Compact Nonlinear Maps and Circulant Extensions
Felix X. Yu, Sanjiv Kumar, H. Rowley, Shih-Fu Chang
2015arXiv.org47 citations
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Lattice rescoring strategies for long short term memory language models in speech recognition
Shankar Kumar, M. Nirschl, D. Holtmann-Rice, H. Liao +2 more
2017Automatic Speech Recognition & Understanding41 citations Open access
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FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
Jianyu Wang, Qi, A. Rawat, Sashank J. Reddi +3 more
2022arXiv.org35 citations
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Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
Zong-xiao Li, Chong You, Srinadh Bhojanapalli, Daliang Li +7 more
2022arXiv.org31 citations Open access
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Minimally Needed Evidence for Complex Event Recognition in Unconstrained Videos
Subhabrata Bhattacharya, Felix X. Yu, Shih-Fu Chang
2014International Conference on Multimedia Retrieval29 citations Open access
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Modeling Attributes from Category-Attribute Proportions
Felix X. Yu, Liang-Liang Cao, Michele Merler, N. Codella +3 more
2014ACM Multimedia28 citations
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Loss Decomposition for Fast Learning in Large Output Spaces
I. E. Yen, Satyen Kale, Felix X. Yu, D. Holtmann-Rice +2 more
2018International Conference on Machine Learning24 citations
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On Binary Embedding using Circulant Matrices
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yun-Chao Gong +1 more
2015Journal of machine learning research24 citations
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Correlated quantization for distributed mean estimation and optimization
A. Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu
2022International Conference on Machine Learning22 citations Open access
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Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik, Himanshu Jain, A. Menon, Seungyeon Kim +3 more
2020Conference on Empirical Methods in Natural Language Processing21 citations Open access
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IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems
Liang-Liang Cao, Shih-Fu Chang, N. Codella, Courtenay V. Cotton +9 more
2012TREC Video Retrieval Evaluation20 citations
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Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
A. Rawat, A. Menon, Wittawat Jitkrittum, Sadeep Jayasumana +3 more
2021International Conference on Machine Learning13 citations
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IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems
L. Brown, Liang-Liang Cao, Chih-Fu Chang, Yu Cheng +15 more
2013TREC Video Retrieval Evaluation9 citations
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The Sparse Recovery Autoencoder
Shanshan Wu, A. Dimakis, Sujay Sanghavi, Felix X. Yu +4 more
2018arXiv.org6 citations
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Doubly-stochastic mining for heterogeneous retrieval
A. Rawat, A. Menon, Andreas Veit, Felix X. Yu +2 more
2020arXiv.org5 citations
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