Jinfeng Yi

According to our database, Jinfeng Yi authored at least 99 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Self-supervised Graph Neural Network for Mechanical CAD Retrieval.

Yuhan Quan, Huan Zhao, Jinfeng Yi, Yuqiang Chen

CoRR, 2024

2023

Federated User Modeling from Hierarchical Information.

Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou

ACM Trans. Inf. Syst., April, 2023

Trustworthy AI: From Principles to Practices.

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou

ACM Comput. Surv., 2023

Stochastic Graphical Bandits with Heavy-Tailed Rewards.

Yutian Gou, Jinfeng Yi, Lijun Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards.

Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.

Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong

Proceedings of the International Conference on Machine Learning, 2023

Training Meta-Surrogate Model for Transferable Adversarial Attack.

Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Adversarial Robustness of Vision Transformers.

Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

Trans. Mach. Learn. Res., 2022

Adaptive Feature Generation for Online Continual Learning from Imbalanced Data.

Yingchun Jian, Jinfeng Yi, Lijun Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor.

Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?

Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Steven Wu, Jinfeng Yi

Proceedings of the International Conference on Machine Learning, 2022

A Simple yet Universal Strategy for Online Convex Optimization.

Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Text CAPTCHAs Using Adversarial Examples.

Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

Proceedings of the IEEE International Conference on Big Data, 2022

With False Friends Like These, Who Can Notice Mistakes?

Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Federated Two-stage Learning with Sign-based Voting.

Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui

CoRR, 2021

How and When Adversarial Robustness Transfers in Knowledge Distillation?

Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

CoRR, 2021

Adversarial Attack across Datasets.

Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh

CoRR, 2021

Towards Heterogeneous Clients with Elastic Federated Learning.

Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, Jinfeng Yi, Shuguang Cui

CoRR, 2021

Fast Certified Robust Training via Better Initialization and Shorter Warmup.

Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

CoRR, 2021

On the Adversarial Robustness of Visual Transformers.

Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

CoRR, 2021

Provable Defense Against Delusive Poisoning.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

CoRR, 2021

Hierarchical Personalized Federated Learning for User Modeling.

Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou

Proceedings of the WWW '21: The Web Conference 2021, 2021

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Certified Robust Training with Short Warmup.

Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing.

Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients.

Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Spanning attack: reinforce black-box attacks with unlabeled data.

Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang

Mach. Learn., 2020

On the Limitations of Denoising Strategies as Adversarial Defenses.

Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi

CoRR, 2020

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

Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He

CoRR, 2020

Provably Robust Metric Learning.

Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Adversarial Robustness Requires Revisiting Misclassified Examples.

Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.

Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao

IEEE Trans. Multim., 2019

Characterizing Attacks on Deep Reinforcement Learning.

Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song

CoRR, 2019

Defending Against Adversarial Attacks Using Random Forests.

Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

CoRR, 2019

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

Dongdong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou

CoRR, 2019

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

Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh

CoRR, 2019

How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning.

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

CoRR, 2019

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness.

Lan-Zhe Guo, Yufeng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou

CoRR, 2019

Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data.

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

DTWNet: a Dynamic Time Warping Network.

Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points.

Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch

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.

Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Similarity Preserving Representation Learning for Time Series Clustering.

Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Convergence and Robustness of Adversarial Training.

Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Symmetric Cross Entropy for Robust Learning With Noisy Labels.

Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Defending Against Adversarial Attacks Using Random Forest.

Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adversarial Structured Neural Network Pruning.

Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

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.

Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Jinghui Chen, Jinfeng Yi, Quanquan Gu

CoRR, 2018

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

Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan

CoRR, 2018

Matrix Completion from Non-Uniformly Sampled Entries.

Yuanyu Wan, Jinfeng Yi, Lijun Zhang

CoRR, 2018

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization.

Mingrui Liu, Zhe Li, Xiaoyu Wang, Jinfeng Yi, Tianbao Yang

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.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

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.

Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou

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.

Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

Query-Efficient Black-Box Attack by Active Learning.

Pengcheng Li, Jinfeng Yi, Lijun Zhang

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.

Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

Session Expert: a Lightweight Conference Session Recommender System.

Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

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.

Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh

CoRR, 2017

Robust Task Clustering for Deep Many-Task Learning.

Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou

CoRR, 2017

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

Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu

CoRR, 2017

Positive-Unlabeled Demand-Aware Recommendation.

Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li

CoRR, 2017

Similarity Preserving Representation Learning for Time Series Analysis.

Qi Lei, Jinfeng Yi, Roman Vaculín, Lingfei Wu, Inderjit S. Dhillon

CoRR, 2017

Scalable Demand-Aware Recommendation.

Jinfeng Yi, Cho-Jui Hsieh, Kush R. Varshney, Lijun Zhang, Yao Li

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.

Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

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.

Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016

Improved dynamic regret for non-degeneracy functions.

Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

CoRR, 2016

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

Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi

Proceedings of the 33nd International Conference on Machine Learning, 2016

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

Raya Horesh, Kush R. Varshney, Jinfeng Yi

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Stochastic Optimization for Kernel PCA.

Lijun Zhang, Tianbao Yang, Jinfeng Yi, Rong Jin, Zhi-Hua Zhou

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).

Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu

Mach. Learn., 2015

An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.

Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang

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.

Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient Algorithms for Robust One-bit Compressive Sensing.

Lijun Zhang, Jinfeng Yi, Rong Jin

Proceedings of the 31th International Conference on Machine Learning, 2014

Privacy and Regression Model Preserved Learning.

Jinfeng Yi, Jun Wang, Rong Jin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Online Kernel Learning with a Near Optimal Sparsity Bound.

Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He

Proceedings of the 30th International Conference on Machine Learning, 2013

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

Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain

Proceedings of the 30th International Conference on Machine Learning, 2013

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

Jinfeng Yi, Rong Jin, Shaili Jain, Anil K. Jain

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

2012

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

Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain, Tianbao Yang

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.

Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi

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.

Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach.

Jinfeng Yi, Rong Jin, Anil K. Jain, Shaili Jain

Proceedings of the 4th Human Computation Workshop, 2012

Online Kernel Selection: Algorithms and Evaluations.

Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012