Jinfeng Yi

According to our database1, Jinfeng Yi authored at least 40 papers between 2012 and 2019.

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Bibliography

2019
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multimedia, 2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Similarity Preserving Representation Learning for Time Series Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Convergence and Robustness of Adversarial Training.
Proceedings of the 36th International Conference on Machine Learning, 2019

Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.
Proceedings of the 7th International Conference on Learning Representations, 2019

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.
Proceedings of the 7th International Conference on Learning Representations, 2019

How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Diverse Few-Shot Text Classification with Multiple Metrics.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.
Proceedings of the 6th International Conference on Learning Representations, 2018

Query-Efficient Black-Box Attack by Active Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.
Proceedings of the Computer Vision - ECCV 2018, 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

Session Expert: a Lightweight Conference Session Recommender System.
Proceedings of the IEEE International Conference on Big Data, 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Scalable Demand-Aware Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improved Dynamic Regret for Non-degenerate Functions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Information retrieval, fusion, completion, and clustering for employee expertise estimation.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Stochastic Optimization for Kernel PCA.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD).
Machine Learning, 2015

An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Algorithms for Robust One-bit Compressive Sensing.
Proceedings of the 31th International Conference on Machine Learning, 2014

Privacy and Regression Model Preserved Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Online Kernel Learning with a Near Optimal Sparsity Bound.
Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.
Proceedings of the 30th International Conference on Machine Learning, 2013

Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Stochastic Gradient Descent with Only One Projection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Robust Ensemble Clustering by Matrix Completion.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach.
Proceedings of the 4th Human Computation Workshop, 2012

Online Kernel Selection: Algorithms and Evaluations.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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