Yan Yan

According to our database, Yan Yan authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach.

Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

ACM Trans. Intell. Syst. Technol., February, 2024

2023

Dynamic Time Warping Based Adversarial Framework for Time-Series Domain.

Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition.

Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang

J. Mach. Learn. Res., 2023

Probabilistically robust conformal prediction.

Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis.

Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

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

2022

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis.

Taha Belkhouja, Yan Yan, Janardhan Rao Doppa

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

2021

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.

Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study.

Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang

IEEE Trans. Knowl. Data Eng., 2020

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.

Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang

CoRR, 2020

Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise.

Yan Yan, Xin Man, Tianbao Yang

CoRR, 2020

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.

Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang

CoRR, 2020

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives.

Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang

CoRR, 2020

Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization.

Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang

CoRR, 2020

Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization.

Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang

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

Stochastic Optimization for Non-convex Inf-Projection Problems.

Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

A Simple and Effective Framework for Pairwise Deep Metric Learning.

Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Localized Energy Network for Structured Prediction.

Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang

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

2019

Progressive Learning for Person Re-Identification With One Example.

Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, Yi Yang

IEEE Trans. Image Process., 2019

Late Fusion via Subspace Search With Consistency Preservation.

Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang

IEEE Trans. Image Process., 2019

Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure.

Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang

CoRR, 2019

Stagewise Training Accelerates Convergence of Testing Error Over SGD.

Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang

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

Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching.

Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen

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

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection.

Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang

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

2018

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?

Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin

CoRR, 2018

Learning Discriminators as Energy Networks in Adversarial Learning.

Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang

CoRR, 2018

A Unified Analysis of Stochastic Momentum Methods for Deep Learning.

Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang

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

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization.

Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning.

Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Style Aggregated Network for Facial Landmark Detection.

Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Graph-based clustering and ranking for diversified image search.

Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, Kai Zheng

Multim. Syst., 2017

A Framework of Online Learning with Imbalanced Streaming Data.

Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Image Classification by Cross-Media Active Learning With Privileged Information.

Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu

IEEE Trans. Multim., 2016

Multiple graph unsupervised feature selection.

Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, Lei Zhao

Signal Process., 2016

Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/\epsilon).

Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Semi-Supervised Learning through Label Aggregation.

Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition.

Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe, Xiaofang Zhou

IEEE Trans. Neural Networks Learn. Syst., 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.

Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.

Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan

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