Jinfeng Yi

发表

Inferring the Importance of Product Appearance: A Step Towards the Screenless Revolution pdf

Yongshun Gong, Jinfeng Yi, Dongdong Chen, 2019, ArXiv.

Provably Robust Metric Learning pdf

Jinfeng Yi, Lu Wang, Yuan Jiang, 2020, NeurIPS.

Stochastic Optimization for Kernel PCA

Jinfeng Yi, Rong Jin, Zhi-Hua Zhou, 2016, AAAI.

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

Jinfeng Yi, Wesley M. Gifford, Ji Liu, 2017, ArXiv.

Robust Task Clustering for Deep Many-Task Learning pdf

Jinfeng Yi, Haoyu Wang, Bowen Zhou, 2017, ArXiv.

Stochastic Gradient Descent with Only One Projection

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, NIPS.

Robust Ensemble Clustering by Matrix Completion

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, 2012 IEEE 12th International Conference on Data Mining.

Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach

Jinfeng Yi, Rong Jin, Anil K. Jain, 2013, HCOMP.

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks pdf

Jinfeng Yi, Jinghui Chen, Quanquan Gu, 2018, AAAI.

Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning pdf

Jinfeng Yi, Cho-Jui Hsieh, Pin-Yu Chen, 2017, ArXiv.

Diverse Few-Shot Text Classification with Multiple Metrics pdf

Yu Cheng, Jinfeng Yi, Haoyu Wang, 2018, NAACL.

Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach

Jinfeng Yi, Rong Jin, Anil K. Jain, 2012, HCOMP@AAAI.

Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2017, ACL.

On the Convergence and Robustness of Adversarial Training

James Bailey, Jinfeng Yi, Bowen Zhou, 2021, ICML.

Online Kernel Selection: Algorithms and Evaluations

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, AAAI.

Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach pdf

Jinfeng Yi, Cho-Jui Hsieh, Pin-Yu Chen, 2018, ICLR.

Robust Text CAPTCHAs Using Adversarial Examples pdf

Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh, 2021, ArXiv.

Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective pdf

Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh, 2019, ArXiv.

Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation pdf

Jinfeng Yi, Zhi-Hua Zhou, Yisen Wang, 2019, ArXiv.

AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos

Jinfeng Yi, Dawn Song, Ian Molloy, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Random Warping Series: A Random Features Method for Time-Series Embedding

Jinfeng Yi, Fangli Xu, Michael Witbrock, 2018, AISTATS.

An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints

Wei Liu, Jinfeng Yi, Tianbao Yang, 2015, KDD.

Query-Efficient Black-Box Attack by Active Learning

Lijun Zhang, Jinfeng Yi, Pengcheng Li, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Power-error analysis of sensor array regression algorithms for gas mixture quantification in low-power microsystems

Jinfeng Yi, Andrew J. Mason, Yuning Yang, 2013, 2013 IEEE SENSORS.

Privacy and Regression Model Preserved Learning

Jun Wang, Jinfeng Yi, Rong Jin, 2014, AAAI.

Matrix Completion from Non-Uniformly Sampled Entries pdf

Jinfeng Yi, Yuanyu Wan, Lijun Zhang, 2018, ArXiv.

Scalable Demand-Aware Recommendation

Jinfeng Yi, Kush R. Varshney, Cho-Jui Hsieh, 2017, NIPS.

Information retrieval, fusion, completion, and clustering for employee expertise estimation

Jinfeng Yi, Kush R. Varshney, Raya Horesh, 2016, 2016 IEEE International Conference on Big Data (Big Data).

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data

Jun Wang, Jinfeng Yi, Rong Jin, 2014, ICML.

Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012, NIPS.

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification pdf

Zenglin Xu, Zhao Kang, Xiao Lu, 2018, IJCAI.

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Yongshun Gong, Jinfeng Yi, Qiang Wu, 2019, KDD.

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion

Jinfeng Yi, Rong Jin, Qi Qian, 2013, ICML.

Defending Against Adversarial Attacks Using Random Forests pdf

Jinfeng Yi, Huan Zhang, Deliang Fan, 2019, ArXiv.

Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

Fei Wang, Jinfeng Yi, Jiayu Zhou, 2018, KDD.

Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)

Jinfeng Yi, Rong Jin, Qi Qian, 2013, Machine Learning.

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

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2017, AISec@CCS.

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples pdf

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2018, AAAI.

Efficient Algorithms for Robust One-bit Compressive Sensing

Jinfeng Yi, Rong Jin, Lijun Zhang, 2014, ICML.

Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

Jinfeng Yi, Huan Zhang, Yupeng Gao, 2018, ECCV.

On the Limitations of Denoising Strategies as Adversarial Defenses pdf

Jinfeng Yi, Bo Li, Linyi Li, 2020, ArXiv.

Positive-Unlabeled Demand-Aware Recommendation pdf

Jinfeng Yi, Kush R. Varshney, Cho-Jui Hsieh, 2017, ArXiv.

Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions pdf

Jinfeng Yi, Deliang Fan, Boqing Gong, 2018, ArXiv.

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness pdf

Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou, 2019, ArXiv.

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data

Jinfeng Yi, Bowen Zhou, Junchi Yan, 2019, SDM.

Adversarial Structured Neural Network Pruning

Sanguthevar Rajasekaran, Jinfeng Yi, Fan Zhang, 2019, CIKM.

Jinfeng Yi, Inderjit S. Dhillon, Roman Vaculín, 2017, ArXiv.

How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning pdf

Bo Li, Jinfeng Yi, Dawn Xiaodong Song, 2019, AAMAS.

Session Expert: a Lightweight Conference Session Recommender System

Wei Sun, Jinfeng Yi, Junchi Yan, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System pdf

Jinfeng Yi, Xiangnan He, Jiawei Chen, 2020, ArXiv.

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization

Jinfeng Yi, Mingrui Liu, Tianbao Yang, 2018, NeurIPS.

Improved Dynamic Regret for Non-degenerate Functions

Jinfeng Yi, Zhi-Hua Zhou, Tianbao Yang, 2016, NIPS.

Towards Query Efficient Black-box Attacks: An Input-free Perspective

Jinfeng Yi, Dacheng Tao, Jun Cheng, 2018, AISec@CCS.

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

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2018, ICLR.

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss

Lijun Zhang, Jinfeng Yi, Bowen Zhou, 2019, IJCAI.

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

Jinfeng Yi, Rong Jin, Tianbao Yang, 2016, ICML.

DTWNet: a Dynamic Time Warping Network

Sanguthevar Rajasekaran, Jinfeng Yi, Junzhou Huang, 2019, NeurIPS.

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks

Jinfeng Yi, Dacheng Tao, Jun Cheng, 2019, IEEE Transactions on Multimedia.

AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2018, AAAI.

Defending Against Adversarial Attacks Using Random Forest

Jinfeng Yi, Huan Zhang, Deliang Fan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples pdf

Jinfeng Yi, Cho-Jui Hsieh, Huan Zhang, 2017, AAAI.

Jinfeng Yi, Inderjit S. Dhillon, Lingfei Wu, 2019, IJCAI.

Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Yongshun Gong, Jinfeng Yi, Wei Liu, 2019, AAAI.

Edge Attention-based Multi-Relational Graph Convolutional Networks pdf

Jinfeng Yi, Chao Shang, Jinbo Bi, 2018, ArXiv.

Symmetric Cross Entropy for Robust Learning With Noisy Labels

James Bailey, Jinfeng Yi, Yuan Luo, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data

Jinfeng Yi, Yuan Jiang, Huan Zhang, 2020, Mach. Learn..

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions

Enhong Chen, Jinfeng Yi, Bowen Zhou, 2018, ICLR.

Improving Adversarial Robustness Requires Revisiting Misclassified Examples

James Bailey, Jinfeng Yi, Quanquan Gu, 2020, ICLR.

Characterizing Attacks on Deep Reinforcement Learning pdf

Mingjie Sun, Jinfeng Yi, Dawn Song, 2019, AAMAS.

Online Kernel Learning with a Near Optimal Sparsity Bound

Jinfeng Yi, Rong Jin, Xiaofei He, 2013, ICML.

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Jinfeng Yi, Xiangnan He, Fuli Feng, 2021, KDD.

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

Jinfeng Yi, Songcan Chen, Sheng-Jun Huang, 2021 .

Trustworthy AI: From Principles to Practices pdf

Jinfeng Yi, Bowen Zhou, Bo Li, 2021, ArXiv.

Fast Certified Robust Training via Better Initialization and Shorter Warmup pdf

Jinfeng Yi, Cho-Jui Hsieh, Zhouxing Shi, 2021, ArXiv.

Federated Two-stage Learning with Sign-based Voting pdf

Jinfeng Yi, Shuguang Cui, Zichen Ma, 2021, ArXiv.

Adversarial Attack across Datasets pdf

Jinfeng Yi, Cho-Jui Hsieh, Yunxiao Qin, 2021, ArXiv.

Towards Heterogeneous Clients with Elastic Federated Learning pdf

Jinfeng Yi, Wenye Li, Shuguang Cui, 2021, ArXiv.

Training Meta-Surrogate Model for Transferable Adversarial Attack pdf

Jinfeng Yi, Cho-Jui Hsieh, Yunxiao Qin, 2021, ArXiv.

A Simple yet Universal Strategy for Online Convex Optimization pdf

Jinfeng Yi, Tianbao Yang, Lijun Zhang, 2021, ICML.

Fast Certified Robust Training with Short Warmup

Jinfeng Yi, Cho-Jui Hsieh, Zhouxing Shi, 2021 .

Hierarchical Personalized Federated Learning for User Modeling

Enhong Chen, Jinfeng Yi, Qi Liu, 2021, WWW.

How and When Adversarial Robustness Transfers in Knowledge Distillation? pdf

Jinfeng Yi, Cho-Jui Hsieh, Rulin Shao, 2021, ArXiv.

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

Jinfeng Yi, Zhuoxuan Jiang, Shanshan Feng, 2021, KDD.

On the Adversarial Robustness of Visual Transformers pdf

Jinfeng Yi, Cho-Jui Hsieh, Pin-Yu Chen, 2021, ArXiv.

Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy pdf

Jinfeng Yi, Zhiwei Steven Wu, Xinwei Zhang, 2021, ICML.

Provable Defense Against Delusive Poisoning pdf

Jinfeng Yi, Songcan Chen, Sheng-Jun Huang, 2021, ArXiv.

Supplementary Documents for “ Semi-Crowdsource Clustering : Generalizing Crowd Labeling by Robust Distance Metric Learning ”

Jinfeng Yi, Rong Jin, Tianbao Yang, 2012 .