Jinfeng Yi - RankMe

134 papers A* 41A 5B 2C 1Journal 66Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Transferable Attack Across Datasets. IEEE Trans. Circuits Syst. Video Technol. Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Lihong Cao, Cho-Jui Hsieh
2025	J	`jnl`	Continual Learning With Unknown Task Boundary. IEEE Trans. Neural Networks Learn. Syst. Xiaoxie Zhu, Jinfeng Yi, Lijun Zhang
2025	J	`jnl`	Universal Online Convex Optimization Meets Second-order Bounds. J. Mach. Learn. Res. Lijun Zhang, Yibo Wang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2024	J	`jnl`	Self-supervised Graph Neural Network for Mechanical CAD Retrieval. CoRR Yuhan Quan, Huan Zhao, Jinfeng Yi, Yuqiang Chen
2023	A*	`conf`	Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards. NeurIPS Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
2023	J	`jnl`	Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards. CoRR Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
2023	A*	`conf`	FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. ICML Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
2023	J	`jnl`	Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou
2023	A	`conf`	Stochastic Graphical Bandits with Heavy-Tailed Rewards. UAI Yutian Gou, Jinfeng Yi, Lijun Zhang
2023	A*	`conf`	Training Meta-Surrogate Model for Transferable Adversarial Attack. AAAI Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2023	J	`jnl`	Trustworthy AI: From Principles to Practices. ACM Comput. Surv. Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
2022	A*	`conf`	A Simple yet Universal Strategy for Online Convex Optimization. ICML Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2022	—	`conf`	Adaptive Feature Generation for Online Continual Learning from Imbalanced Data. PAKDD (1) Yingchun Jian, Jinfeng Yi, Lijun Zhang
2022	A*	`conf`	Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022	J	`jnl`	Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2022	A*	`conf`	How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. ICLR Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	J	`jnl`	How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. CoRR Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu
2022	J	`jnl`	On the Adversarial Robustness of Vision Transformers. Trans. Mach. Learn. Res. Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2022	B	`conf`	Robust Text CAPTCHAs Using Adversarial Examples. IEEE Big Data Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2022	A*	`conf`	Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor. NeurIPS Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang
2022	J	`jnl`	Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor. CoRR Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang
2022	A*	`conf`	Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. ICML Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi
2022	A*	`conf`	With False Friends Like These, Who Can Notice Mistakes? AAAI Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
2021	J	`jnl`	A Simple yet Universal Strategy for Online Convex Optimization. CoRR Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang
2021	J	`jnl`	Adversarial Attack across Datasets. CoRR Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2021	A*	`conf`	Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Fast Certified Robust Training via Better Initialization and Shorter Warmup. CoRR Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2021	A*	`conf`	Fast Certified Robust Training with Short Warmup. NeurIPS Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2021	J	`jnl`	Federated Two-stage Learning with Sign-based Voting. CoRR Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	A*	`conf`	Hierarchical Personalized Federated Learning for User Modeling. WWW Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou
2021	J	`jnl`	How and When Adversarial Robustness Transfers in Knowledge Distillation? CoRR Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021	A*	`conf`	Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing. ACM Multimedia Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou
2021	A*	`conf`	Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. KDD Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021	J	`jnl`	Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. CoRR Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021	A*	`conf`	Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021	J	`jnl`	On the Adversarial Robustness of Visual Transformers. CoRR Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021	J	`jnl`	On the Convergence and Robustness of Adversarial Training. CoRR Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
2021	C	`conf`	PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. ACML Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	J	`jnl`	Provable Defense Against Delusive Poisoning. CoRR Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
2021	J	`jnl`	Robust Text CAPTCHAs Using Adversarial Examples. CoRR Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021	J	`jnl`	Towards Heterogeneous Clients with Elastic Federated Learning. CoRR Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	J	`jnl`	Training Meta-Surrogate Model for Transferable Adversarial Attack. CoRR Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh
2021	J	`jnl`	Trustworthy AI: From Principles to Practices. CoRR Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
2021	J	`jnl`	Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. CoRR Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, Jinfeng Yi
2020	A*	`conf`	A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. AAAI Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu
2020	A*	`conf`	Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
2020	J	`jnl`	Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He
2020	J	`jnl`	On the Limitations of Denoising Strategies as Adversarial Defenses. CoRR Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi
2020	A*	`conf`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. AAAI Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2020	A*	`conf`	Provably Robust Metric Learning. NeurIPS Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	J	`jnl`	Provably Robust Metric Learning. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh
2020	A*	`conf`	Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
2020	J	`jnl`	Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data. CoRR Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2020	J	`jnl`	Spanning attack: reinforce black-box attacks with unlabeled data. Mach. Learn. Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2019	A*	`conf`	AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos. ICCV Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy
2019	A	`conf`	Adversarial Structured Neural Network Pruning. CIKM Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran
2019	A*	`conf`	AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. AAAI Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
2019	J	`jnl`	Characterizing Attacks on Deep Reinforcement Learning. CoRR Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song
2019	A*	`conf`	DTWNet: a Dynamic Time Warping Network. NeurIPS Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran
2019	—	`conf`	Defending Against Adversarial Attacks Using Random Forest. CVPR Workshops Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019	J	`jnl`	Defending Against Adversarial Attacks Using Random Forests. CoRR Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019	J	`jnl`	Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Trans. Multim. Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao
2019	J	`jnl`	Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective. CoRR Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh
2019	A	`conf`	Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou
2019	J	`jnl`	How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning. CoRR Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song
2019	A	`conf`	How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. AAMAS Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song
2019	A*	`conf`	Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. IJCAI Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang
2019	J	`jnl`	Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss. CoRR Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang
2019	J	`jnl`	Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation. CoRR Dongdong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou
2019	A*	`conf`	On the Convergence and Robustness of Adversarial Training. ICML Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
2019	J	`jnl`	Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development. CoRR Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi
2019	—	`conf`	Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2019	J	`jnl`	Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou
2019	A*	`conf`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. KDD Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2019	J	`jnl`	Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. CoRR Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch
2019	A*	`conf`	Similarity Preserving Representation Learning for Time Series Clustering. IJCAI Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon
2019	A*	`conf`	Symmetric Cross Entropy for Robust Learning With Noisy Labels. ICCV Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
2019	J	`jnl`	Symmetric Cross Entropy for Robust Learning with Noisy Labels. CoRR Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
2019	—	`conf`	Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. ICLR (Poster) Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang
2018	J	`jnl`	A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. CoRR Jinghui Chen, Jinfeng Yi, Quanquan Gu
2018	A*	`conf`	Adaptive Negative Curvature Descent with Applications in Non-convex Optimization. NeurIPS Mingrui Liu, Zhe Li, Xiaoyu Wang, Jinfeng Yi, Tianbao Yang
2018	—	`conf`	Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning. ACL (1) Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2018	J	`jnl`	AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. CoRR Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
2018	J	`jnl`	Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. CoRR Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan
2018	—	`conf`	Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	J	`jnl`	Diverse Few-Shot Text Classification with Multiple Metrics. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2018	A*	`conf`	EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2018	—	`conf`	Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. ICLR (Poster) Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018	J	`jnl`	Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach. CoRR Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018	A*	`conf`	Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. KDD Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou
2018	J	`jnl`	Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. CoRR Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou
2018	—	`conf`	Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. ECCV (12) Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018	J	`jnl`	Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. CoRR Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018	J	`jnl`	Matrix Completion from Non-Uniformly Sampled Entries. CoRR Yuanyu Wan, Jinfeng Yi, Lijun Zhang
2018	A*	`conf`	Query-Efficient Black-Box Attack by Active Learning. ICDM Pengcheng Li, Jinfeng Yi, Lijun Zhang
2018	J	`jnl`	Query-Efficient Black-Box Attack by Active Learning. CoRR Pengcheng Li, Jinfeng Yi, Lijun Zhang
2018	J	`jnl`	Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh
2018	A	`conf`	Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	J	`jnl`	Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	A*	`conf`	Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. IJCAI Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018	J	`jnl`	Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. CoRR Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
2018	J	`jnl`	Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh
2018	—	`conf`	Session Expert: a Lightweight Conference Session Recommender System. IEEE BigData Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun
2018	—	`conf`	Towards Query Efficient Black-box Attacks: An Input-free Perspective. AISec@CCS Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2018	J	`jnl`	Towards Query Efficient Black-box Attacks: An Input-free Perspective. CoRR Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2017	J	`jnl`	EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2017	—	`conf`	Improved Dynamic Regret for Non-degenerate Functions. NIPS Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2017	J	`jnl`	Negative-Unlabeled Tensor Factorization for Location Category Inference from Inaccurate Mobility Data. CoRR Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu
2017	J	`jnl`	Positive-Unlabeled Demand-Aware Recommendation. CoRR Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li
2017	J	`jnl`	Robust Task Clustering for Deep Many-Task Learning. CoRR Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou
2017	—	`conf`	Scalable Demand-Aware Recommendation. NIPS Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li
2017	J	`jnl`	Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning. CoRR Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2017	J	`jnl`	Similarity Preserving Representation Learning for Time Series Analysis. CoRR Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon
2017	—	`conf`	ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2017	J	`jnl`	ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2016	J	`jnl`	Improved dynamic regret for non-degeneracy functions. CoRR Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2016	—	`conf`	Information retrieval, fusion, completion, and clustering for employee expertise estimation. IEEE BigData Raya Horesh, Kush R. Varshney, Jinfeng Yi
2016	A*	`conf`	Stochastic Optimization for Kernel PCA. AAAI Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou
2016	A*	`conf`	Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient. ICML Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi
2016	J	`jnl`	Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient. CoRR Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi
2015	A*	`conf`	An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints. KDD Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang
2015	J	`jnl`	Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2014	A*	`conf`	A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data. ICML Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain
2014	A*	`conf`	Efficient Algorithms for Robust One-bit Compressive Sensing. ICML Lijun Zhang, Jinfeng Yi, Rong Jin
2014	A*	`conf`	Privacy and Regression Model Preserved Learning. AAAI Jinfeng Yi, Jun Wang, Rong Jin
2013	J	`jnl`	Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) CoRR Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2013	B	`conf`	Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach. HCOMP Jinfeng Yi, Rong Jin, Shaili Jain, Anil K. Jain
2013	—	`conf`	Online Kernel Learning with a Near Optimal Sparsity Bound. ICML (3) Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He
2013	—	`conf`	Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. ICML (3) Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain
2012	—	`conf`	Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach. HCOMP@AAAI Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain
2012	A*	`conf`	Online Kernel Selection: Algorithms and Evaluations. AAAI Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi
2012	A*	`conf`	Robust Ensemble Clustering by Matrix Completion. ICDM Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi
2012	—	`conf`	Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning. NIPS Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain, Tianbao Yang
2012	—	`conf`	Stochastic Gradient Descent with Only One Projection. NIPS Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi