Jinfeng Yi

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2012–2023

Best venue rank

Where they publish

Papers

51 indexed papers, newest first.

Year	Venue	Title	Authors
2023	AAAI	Training Meta-Surrogate Model for Transferable Adversarial Attack.	Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2023	ICML	FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.	Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
2023	UAI	Stochastic Graphical Bandits with Heavy-Tailed Rewards.	Yutian Gou, Jinfeng Yi, Lijun Zhang
2022	AAAI	With False Friends Like These, Who Can Notice Mistakes?	Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
2022	ICLR	How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.	Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	ICML	A Simple yet Universal Strategy for Online Convex Optimization.	Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2022	ICML	Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.	Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
2022	PAKDD	Adaptive Feature Generation for Online Continual Learning from Imbalanced Data.	Yingchun Jian, Jinfeng Yi, Lijun Zhang
2021	ACML	PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients.	Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	KDD	Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.	Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021	KDD	Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.	Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021	WWW	Hierarchical Personalized Federated Learning for User Modeling.	Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou
2020	AAAI	Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.	Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
2020	AAAI	A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks.	Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu
2020	AAAI	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development.	Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2020	ICLR	Improving Adversarial Robustness Requires Revisiting Misclassified Examples.	Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
2019	AAAI	AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks.	Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
2019	CIKM	Adversarial Structured Neural Network Pruning.	Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran
2019	CVPR	Defending Against Adversarial Attacks Using Random Forest.	Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019	ICCV	Symmetric Cross Entropy for Robust Learning With Noisy Labels.	Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
2019	ICCV	AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos.	Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy
2019	ICLR	Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.	Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2019	ICLR	Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.	Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang
2019	ICML	On the Convergence and Robustness of Adversarial Training.	Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
2019	IJCAI	Similarity Preserving Representation Learning for Time Series Clustering.	Qi Lei, Jinfeng Yi, Roman Vaculn, Lingfei Wu, Inderjit S. Dhillon
2019	IJCAI	Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss.	Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang
2019	KDD	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points.	Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2019	SDM	Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.	Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou
2018	AAAI	EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.	Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2018	ACL	Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.	Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2018	AISTATS	Random Warping Series: A Random Features Method for Time-Series Embedding.	Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	CCS	Towards Query Efficient Black-box Attacks: An Input-free Perspective.	Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2018	ECCV	Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.	Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018	ICDM	Query-Efficient Black-Box Attack by Active Learning.	Pengcheng Li, Jinfeng Yi, Lijun Zhang
2018	ICLR	Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.	Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018	IJCAI	Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.	Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018	KDD	Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models.	Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou
2018	NAACL	Diverse Few-Shot Text Classification with Multiple Metrics.	Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2017	CCS	ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models.	Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2016	AAAI	Stochastic Optimization for Kernel PCA.	Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2016	ICML	Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.	Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi
2015	KDD	An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.	Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang
2014	AAAI	Privacy and Regression Model Preserved Learning.	Jinfeng Yi, Jun Wang, Rong Jin
2014	ICML	Efficient Algorithms for Robust One-bit Compressive Sensing.	Lijun Zhang, Jinfeng Yi, Rong Jin
2014	ICML	A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.	Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain
2013	HCOMP	Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach.	Jinfeng Yi, Rong Jin, Shaili Jain, Anil K. Jain
2013	ICML	Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion.	Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain
2013	ICML	Online Kernel Learning with a Near Optimal Sparsity Bound.	Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He
2012	AAAI	Online Kernel Selection: Algorithms and Evaluations.	Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi
2012	HCOMP	Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach.	Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain
2012	ICDM	Robust Ensemble Clustering by Matrix Completion.	Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi