Jinfeng Yi (易津锋)
Jinfeng Yi (易津锋)
JD AI Research
Verified email at jd.com - Homepage
Cited by
Cited by
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
Ead: elastic-net attacks to deep neural networks via adversarial examples
PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Evaluating the robustness of neural networks: An extreme value theory approach
TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel
arXiv preprint arXiv:1801.10578, 2018
Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao
Proceedings of the European Conference on Computer Vision (ECCV), 631-648, 2018
Query-efficient hard-label black-box attack: An optimization-based approach
M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh
arXiv preprint arXiv:1807.04457, 2018
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 33, 742-749, 2019
Semi-crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
J Yi, R Jin, A Jain, S Jain, T Yang
Advances in Neural Information Processing Systems (NIPS), 1781-1789, 2012
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
M Cheng, J Yi, PY Chen, H Zhang, CJ Hsieh
AAAI, 3601-3608, 2020
Practical machine learning
S Gollapudi
Packt Publishing Ltd, 2016
Diverse few-shot text classification with multiple metrics
M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ...
arXiv preprint arXiv:1805.07513, 2018
Efficient Algorithms for Robust One-bit Compressive Sensing
L Zhang, J Yi, R Jin
International Conference on Machine Learning (ICML), 820-828, 2014
Inferring Users’ Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach
J Yi, R Jin, S Jain, A Jain
AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2013
Symmetric cross entropy for robust learning with noisy labels
Y Wang, X Ma, Z Chen, Y Luo, J Yi, J Bailey
Proceedings of the IEEE International Conference on Computer Vision, 322-330, 2019
Robust Ensemble Clustering by Matrix Completion
J Yi, T Yang, R Jin, AK Jain, M Mahdavi
IEEE International Conference on Data Mining (ICDM), 2012
Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient
T Yang, L Zhang, R Jin, J Yi
International Conference on Machine Learning, 449-457, 2016
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
Q Qian, R Jin, J Yi, L Zhang, S Zhu
Machine Learning 99 (3), 353-372, 2015
On the Convergence and Robustness of Adversarial Training.
Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu
ICML 1, 2, 2019
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
H Chen, H Zhang, PY Chen, J Yi, CJ Hsieh
arXiv preprint arXiv:1712.02051, 2017
Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach
J Yi, R Jin, AK Jain, S Jain
AAAI workshop on Human Computation (HCOMP), 2012
Improved Dynamic Regret for Non-degeneracy Functions
L Zhang, T Yang, J Yi, R Jin, ZH Zhou
arXiv preprint arXiv:1608.03933, 2016
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