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Jinfeng Yi

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Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Jan 31, 2018
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel

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Scalable Demand-Aware Recommendation

Nov 26, 2017
Jinfeng Yi, Cho-Jui Hsieh, Kush Varshney, Lijun Zhang, Yao Li

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Improved Dynamic Regret for Non-degenerate Functions

Nov 02, 2017
Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

Nov 02, 2017
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh

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Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data

May 24, 2017
Jinfeng Yi, Qi Lei, Wesley Gifford, Ji Liu, Junchi Yan

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Similarity Preserving Representation Learning for Time Series Analysis

Mar 09, 2017
Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon

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Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

May 16, 2016
Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi

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Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)

Apr 03, 2013
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu

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