Jinfeng Yi

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Publication record
97 papers · 11,326 citations · H-index 43

PAPERS

Federated User Modeling from Hierarchical Information
202344 citationsauthor #8
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
20239 citationsauthor #4
Stochastic Graphical Bandits with Heavy-Tailed Rewards
20234 citationsauthor #2
Adaptive Feature Generation for Online Continual Learning from Imbalanced Data
20223 citationsauthor #2
Can Adversarial Training Be Manipulated By Non-Robust Features?
202217 citationsauthor #4
On the Adversarial Robustness of Vision Transformers
2022182 citationsauthor #3
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
202212 citationsauthor #3
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
202240 citationsauthor #4
Adversarial Attack across Datasets
20215 citationsauthor #3
Trustworthy AI: From Principles to Practices
2021560 citationsauthor #7
Fast Certified Robust Training with Short Warmup
202167 citationsauthor #4
Towards Heterogeneous Clients with Elastic Federated Learning
20213 citationsauthor #5
Robust Text CAPTCHAs Using Adversarial Examples
202117 citationsauthor #3
Hierarchical Personalized Federated Learning for User Modeling
202193 citationsauthor #7
Provable Defense Against Delusive Poisoning
20217 citationsauthor #3
How and When Adversarial Robustness Transfers in Knowledge Distillation?
202120 citationsauthor #2
Federated Two-stage Learning with Sign-based Voting
20214 citationsauthor #5
On the Convergence and Robustness of Adversarial Training
2021376 citationsauthor #4
Training Meta-Surrogate Model for Transferable Adversarial Attack
202130 citationsauthor #3
Universal Online Convex Optimization Meets Second-order Bounds
20219 citationsauthor #3
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
2021127 citationsauthor #5
Fast Certified Robust Training via Better Initialization and Shorter Warmup
20217 citationsauthor #4
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
202133 citationsauthor #7
With False Friends Like These, Who Can Notice Mistakes?
20206 citationsauthor #3
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
2020367 citationsauthor #6
Spanning attack: reinforce black-box attacks with unlabeled data
202012 citationsauthor #3
Provably Robust Metric Learning
20207 citationsauthor #3
Improving Adversarial Robustness Requires Revisiting Misclassified Examples
2020803 citationsauthor #3
On the Limitations of Denoising Strategies as Adversarial Defenses
202014 citationsauthor #6
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
201978 citationsauthor #5
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos
201964 citationsauthor #6
AutoZOOM : Background and Methods 3 . 1 Black-box Attack Formulation and Zeroth Order Optimization
20190 citationsauthor #6
Adversarial Structured Neural Network Pruning
20194 citationsauthor #2
Defending Against Adversarial Attacks Using Random Forest
201915 citationsauthor #4
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation
20194 citationsauthor #3
Characterizing Attacks on Deep Reinforcement Learning
201977 citationsauthor #6
DTWNet: a Dynamic Time Warping Network
201979 citationsauthor #3
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
201938 citationsauthor #2
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective
201922 citationsauthor #3
Symmetric Cross Entropy for Robust Learning With Noisy Labels
20191,090 citationsauthor #5
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data
20190 citationsauthor #1
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness
20192 citationsauthor #4
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks
201951 citationsauthor #3
EAD : Elastic-Net Attacks to DNNs Preliminaries on Elastic-Net Regularization
20180 citationsauthor #4
Towards Query Efficient Black-box Attacks: An Input-free Perspective
201821 citationsauthor #3
Edge Attention-based Multi-Relational Graph Convolutional Networks
201895 citationsauthor #6
Query-Efficient Black-Box Attack by Active Learning
201858 citationsauthor #2
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
201866 citationsauthor #3
Diverse Few-Shot Text Classification with Multiple Metrics
2018222 citationsauthor #3
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
2018263 citationsauthor #2
Random Warping Series: A Random Features Method for Time-Series Embedding
201855 citationsauthor #3
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
2018415 citationsauthor #4
Supplementary Material : Scalable Demand-Aware Recommendation
20180 citationsauthor #1
Financial Forecasting and Analysis for Low-Wage Workers
20182 citationsauthor #5
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
201877 citationsauthor #2
Session Expert: a Lightweight Conference Session Recommender System
20183 citationsauthor #1
Matrix Completion from Non-Uniformly Sampled Entries
20184 citationsauthor #2
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
2018509 citationsauthor #4
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions
201851 citationsauthor #2
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach
2018378 citationsauthor #4
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
201858 citationsauthor #3
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
2018100 citationsauthor #3
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
201817 citationsauthor #4
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
2018438 citationsauthor #6
Similarity Preserving Representation Learning for Time Series Analysis
201724 citationsauthor #2
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
2017135 citationsauthor #4
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
2017675 citationsauthor #4
Scalable Demand-Aware Recommendation
201720 citationsauthor #1
Supplementary Material : Improved Dynamic Regret for Non-degenerate Functions
20170 citationsauthor #3
Positive-Unlabeled Demand-Aware Recommendation
20171 citationsauthor #1
Similarity Preserving Representation Learning for Time Series Clustering
201769 citationsauthor #2
Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data
20171 citationsauthor #1
Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data
20171 citationsauthor #1
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning
201750 citationsauthor #4
Robust Task Clustering for Deep Many-Task Learning
20171 citationsauthor #3
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models
20172,122 citationsauthor #4
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
2016174 citationsauthor #4
Improved Dynamic Regret for Non-degenerate Functions
2016135 citationsauthor #3
Stochastic Optimization for Kernel PCA
201623 citationsauthor #3
Information retrieval, fusion, completion, and clustering for employee expertise estimation
201613 citationsauthor #3
Supplementary Material : Stochastic Optimization for Kernel PCA
20150 citationsauthor #3
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints
201530 citationsauthor #1
Efficient Algorithms for Robust One-bit Compressive Sensing
201488 citationsauthor #2
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
20140 citationsauthor #3
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
201414 citationsauthor #1
Privacy and Regression Model Preserved Learning
20148 citationsauthor #1
Supplementary Material : A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
20140 citationsauthor #1
Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach
201370 citationsauthor #1
Online Kernel Learning with a Near Optimal Sparsity Bound
201335 citationsauthor #2
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
201340 citationsauthor #1
Power-error analysis of sensor array regression algorithms for gas mixture quantification in low-power microsystems
20137 citationsauthor #2
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
2013105 citationsauthor #3
Stochastic Gradient Descent with Only One Projection
201260 citationsauthor #5
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
201287 citationsauthor #1
Supplementary Documents for “ Semi-Crowdsource Clustering : Generalizing Crowd Labeling by Robust Distance Metric Learning ”
20121 citationsauthor #1
Robust Ensemble Clustering by Matrix Completion
201288 citationsauthor #1
Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach
201249 citationsauthor #1

TIMELINE

2012 285 citations

2013 257 citations

2014 110 citations

2015 30 citations

2016 345 citations

2017 3,099 citations

2018 2,832 citations

2019 1,524 citations

2020 1,209 citations

2021 1,358 citations

2022 254 citations

2023 57 citations

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