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ORCIDYan Yan 0006
Person information
- affiliation: Washington State University, School of EECS, Pullman, WA, USA
- affiliation (2018 - 2020): University of Iowa, Department of Computer Science, Iowa City, IA, USA
- affiliation (PhD 2018): University of Technology Sydney, Centre for Artificial Intelligence, Ultimo, NSW, Australia
Other persons with the same name
- Yan Yan — disambiguation page
- Yan Yan 0001
![[0000-0002-3674-7160]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3674-7160")
— Xiamen University, Fujian Key Laboratory of Sensing and Computing for Smart City / School of Information Science and Engineering, China (and 1 more) - Yan Yan 0002 — Illinois Institute of Technology, Department of Computer Science, IL, USA (and 3 more)
- Yan Yan 0003 — Ocean University of China, College of Information Science and Engineering, Qingdao, China
- Yan Yan 0004 — China University of Mining and Technology, School of Mechanical Electronic and Information Engineering, Beijing, China (and 1 more)
- Yan Yan 0005 — Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China
- Yan Yan 0007 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Yan Yan 0008 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Yan Yan 0009 — University of Chinese Academy of Sciences, Research Center of Ubiquitous Sensor Networks, Beijing, China (and 1 more)
- Yan Yan 0010 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Yan Yan 0011 — Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
- Yan Yan 0012 — Khalifa University, Department of Electrical Engineering and Computer Science, Abu Dhabi, UAE
- Yan Yan 0013 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Yan Yan 0014 — Tianjin University, School of Electrical Engineering and Automation, China (and 2 more)
- Yan Yan 0015 — Lanzhou University of Technology, School of Computer and Communication, China
- Yan Yan 0016 — Army Engineering University, College of Communications Engineering, Nanjing, China
- Yan Yan 0017 — Chongqing University, MoE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
- Yan Yan 0018 — University of Klagenfurt, Austria (and 1 more)
- Yan Yan 0019 — University of Bristol, High Performance Networks Group, UK
- Yan Yan 0020 — Georgia Institute of Technology, Atlanta, GA, USA
- Yan Yan 0021 — University of California, San Diego, USA
- Yan Yan 0022 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Yan Yan 0023 — Dalian Maritime University, College of Marine Electrical Engineering, China
- Yan Yan 0024 — Yahoo! Labs, Sunnyvale, CA, USA (and 1 more)
- Yan Yan 0025 — Carleton University, Ottawa, Canada (and 1 more)
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2020 – today
- 2024
[j10]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. ACM Trans. Intell. Syst. Technol. 15(1): 8:1-8:24 (2024)- 2023
- [j9]Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang:
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. 24: 148:1-148:63 (2023) - [j8]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7353-7366 (2023) - [c21]Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. AAAI 2023: 7722-7730 - [c20]Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones:
Probabilistically robust conformal prediction. UAI 2023: 681-690 - [i18]Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. CoRR abs/2303.10694 (2023) - [i17]Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones:
Probabilistically robust conformal prediction. CoRR abs/2307.16360 (2023) - 2022
- [c19]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. AAAI 2022: 6055-6063 - [i16]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. CoRR abs/2207.04305 (2022) - [i15]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach. CoRR abs/2207.04306 (2022) - [i14]Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR abs/2207.04308 (2022) - 2021
- [c18]Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang:
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. ICCV 2021: 3020-3029 - 2020
- [j7]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [c17]Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang:
Adversarial Localized Energy Network for Structured Prediction. AAAI 2020: 5347-5354 - [c16]Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang:
A Simple and Effective Framework for Pairwise Deep Metric Learning. ECCV (27) 2020: 375-391 - [c15]Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang:
Stochastic Optimization for Non-convex Inf-Projection Problems. ICML 2020: 10660-10669 - [c14]Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang:
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. NeurIPS 2020 - [i13]Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang:
Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. CoRR abs/2002.05309 (2020) - [i12]Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang:
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR abs/2003.04339 (2020) - [i11]Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang:
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR abs/2006.06889 (2020) - [i10]Yan Yan, Xin Man, Tianbao Yang:
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. CoRR abs/2006.10095 (2020) - [i9]Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang:
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. CoRR abs/2012.03173 (2020)
2010 – 2019
- 2019
- [j6]Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang:
Late Fusion via Subspace Search With Consistency Preservation. IEEE Trans. Image Process. 28(1): 518-528 (2019) - [j5]Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, Yi Yang:
Progressive Learning for Person Re-Identification With One Example. IEEE Trans. Image Process. 28(6): 2872-2881 (2019) - [c13]Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang:
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. AAAI 2019: 4408-4415 - [c12]Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen:
Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. IJCAI 2019: 789-795 - [c11]Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang:
Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS 2019: 2604-2614 - [i8]Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang:
Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure. CoRR abs/1904.10112 (2019) - [i7]Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang:
Stochastic Optimization for Non-convex Inf-Projection Problems. CoRR abs/1908.09941 (2019) - [i6]Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang:
a simple and effective framework for pairwise deep metric learning. CoRR abs/1912.11194 (2019) - 2018
- [c10]Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang:
Style Aggregated Network for Facial Landmark Detection. CVPR 2018: 379-388 - [c9]Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang:
Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. CVPR 2018: 5177-5186 - [c8]Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang:
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. ECCV (11) 2018: 420-436 - [c7]Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang:
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. IJCAI 2018: 2955-2961 - [i5]Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang:
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization. CoRR abs/1801.10068 (2018) - [i4]Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang:
Style Aggregated Network for Facial Landmark Detection. CoRR abs/1803.04108 (2018) - [i3]Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang:
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. CoRR abs/1808.10396 (2018) - [i2]Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang:
Learning Discriminators as Energy Networks in Adversarial Learning. CoRR abs/1810.01152 (2018) - [i1]Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin:
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? CoRR abs/1812.03934 (2018) - 2017
- [j4]Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, Kai Zheng:
Graph-based clustering and ranking for diversified image search. Multim. Syst. 23(1): 41-52 (2017) - [c6]Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen:
A Framework of Online Learning with Imbalanced Streaming Data. AAAI 2017: 2817-2823 - 2016
- [j3]Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, Lei Zhao:
Multiple graph unsupervised feature selection. Signal Process. 120: 754-760 (2016) - [j2]Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu:
Image Classification by Cross-Media Active Learning With Privileged Information. IEEE Trans. Multim. 18(12): 2494-2502 (2016) - [c5]Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi:
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI 2016: 2080-2086 - [c4]Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang:
Robust Semi-Supervised Learning through Label Aggregation. AAAI 2016: 2244-2250 - [c3]Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang:
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/\epsilon). NIPS 2016: 1208-1216 - 2015
- [j1]Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe, Xiaofang Zhou:
Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition. IEEE Trans. Neural Networks Learn. Syst. 26(2): 252-264 (2015) - [c2]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi:
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI 2015: 3988-3994 - 2014
- [c1]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan:
Hybrid Heterogeneous Transfer Learning through Deep Learning. AAAI 2014: 2213-2220
Coauthor Index
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last updated on 2024-06-25 20:56 CEST by the dblp team
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