Conferences
Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar Sampled softmax with random Fourier features
NeurIPS 2019 [arXiv]
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar Learning a compressed sensing measurement matrix via gradient unrolling
ICML 2019 [arXiv]
Sashank J. Reddi, Satyen Kale, Felix X. Yu, Dan Holtmann-Rice, Jiecao Chen, Sanjiv Kumar Stochastic Negative Mining for learning with large output spaces
AISTATS 2019 [arXiv]
Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan cpSGD: Communication-efficient and differentially-private distributed SGD
NeurIPS 2018 spotlight [arXiv]
Ian E.H. Yen, Satyen Kale, Felix X. Yu, Daniel Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar Loss decomposition for fast learning in large output spaces
ICML 2018 [PDF]
Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel Holtmann-Rice, David Simcha, Felix X. Yu Multiscale quantization for fast similarity search
NIPS 2017 [PDF]
Shankar Kumar, Michael Nirschl, Daniel Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu Lattice rescoring strategies for long short term memory language models in speech recognition
ASRU 2017 [arXiv:1711.05448]
Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang Learning spread-out local feature descriptors
ICCV 2017 [PDF] [GitHub]
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan Distributed mean estimation with limited communication
ICML 2017 (acceptance rate 25.5%) [arXiv:1611.00429]
Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang Learning discriminative and transformation covariant local feature detectors
CVPR 2017 (acceptance rate 29%) [PDF] [GitHub]
Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Daniel Holtmann-Rice, Sanjiv Kumar Orthogonal random features NIPS 2016 oral (full-length) (acceptance rate 1.8%) [arXiv]
Jeffrey Pennington, Felix X. Yu, Sanjiv Kumar Spherical random features for polynomial kernels NIPS 2015 spotlight (acceptance rate 4.5%) [PDF] [GitHub]
Yu Cheng*, Felix X. Yu*, Rogerio Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang An exploration of parameter redundancy in deep networks with circulant projections ICCV 2015 (acceptance rate 20%) [PDF] [arXiv] [Project]
Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang Fast orthogonal projection based on Kronecker product ICCV 2015 (acceptance rate 20%) [PDF] [GitHub] [Project]
Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang Circulant Binary Embedding ICML 2014 oral (acceptance rate 25%) [PDF] [arXiv] [GitHub] [Slides] [Project]
Kuan-Ting Lai, Felix X. Yu, Ming-Syan Chen, Shih-Fu Chang Video event detection by inferring temporal instance labels CVPR 2014 oral (acceptance rate 5.75%) [PDF] [Project]
Subh Bhattacharya, Felix X. Yu, Shih-Fu Chang Minimally Needed Evidence for complex event recognition in unconstrained videos ICMR 2014 oral, best paper award (1/21) (acceptance rate 19%) [PDF]
Tao Chen, Felix X. Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang Object-based visual sentiment concept analysis and application ACM Multimedia 2014 oral (acceptance rate 20%) [PDF]
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang $\propto$SVM for learning from label proportions ICML 2013 oral (full-length) (acceptance rate 12%) [PDF] [Supp] [arXiv] [GitHub] [Slides] [Project]
Felix X. Yu, Liangliang Cao, Rogerio S. Feris, John R. Smith, Shih-Fu Chang Designing category-level attributes for discriminative visual recognition CVPR 2013 (acceptance rate 25%) [PDF] [Supp] [GitHub] [Poster]
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang Weak attributes for large-scale image retrieval CVPR 2012 (acceptance rate 24%) [PDF] [Supp] [Poster] [Code] [Project]
Felix X. Yu, Rongrong Ji, Shih-Fu Chang Active Query Sensing for mobile location search ACM Multimedia 2011 oral, best paper award (1/58) (acceptance rate 17%) [Project]
Journals/ Preprints/ Book Chapters
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J Reddi, Sanjiv Kumar AdaCliP: Adaptive Clipping for Private SGD
[arXiv]
Xu Zhang, Felix X. Yu, Svebor Karaman, Wei Zhang, Shih-Fu Chang Heated-up softmax embedding
[arXiv:1809.04157]
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Sanjiv Kumar The sparse recovery autoencoder
[arXiv:1806.10175]
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang On binary embedding using circulant matrices
JMLR 2018 [PDF]
Felix X. Yu, Sanjiv Kumar, Henry Rowley, Shih-Fu Chang Compact Nonlinear Maps and circulant extensions
[arXiv:1503.03893]
Xu Zhang, Felix X. Yu, Shih-Fu Chang, Shengjin Wang Deep Transfer Network: unsupervised domain adaptation
[arXiv:1503.00591]
Felix X. Yu, Krzysztof Choromanski, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang On learning from label proportions
[arXiv:1402.5902]
Felix X. Yu, Yunchao Gong, Sanjiv Kumar Fast binary embedding for high-dimensional data Multimedia Data Mining and Analytics: Disruptive Innovation, Springer
Rongrong Ji*, Felix X. Yu*, Tongtao Zhang, Shih-Fu Chang Active Query Sensing: suggesting the best query view for mobile visual search TOMCCAP 2012 [Project]
Recent workshop Papers
Jakub Konecny, H. Brendan McMahan, Felix X. Yu, Peter Richtarik, Ananda Theertha Suresh, Dave Bacon Federated Learning: strategies for improving communication efficiency NIPS 2016 Workshop on Private Multi-Party Machine Learning [arXiv]
Paul Eastham, Andres Munoz, Ashish Sharma, Umar Syed, Sergei Vassilvitskii, Felix Yu Learning battery consumption of mobile devices ICML 2016 Workshop on On-device Intelligence [PDF]
Felix X. Yu, Liangliang Cao, Michele Merler, Noel Codella, Tao Chen, John R. Smith, Shih-Fu Chang Modeling attributes from category-attribute proportions ACM Multimedia 2014 (Short paper, acceptance rate 30%) [PDF]
