Yan Yan

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 53

Top Topics

Conformal Prediction

Dynamic Time Warping

Supervised Feature Selection

Matrix Factorization

Top Venues

IEEE Trans. Image Process.

Publications

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) (2024)
Yan Yan
Improve robustness of machine learning via efficient optimization and conformal prediction. AI Mag. 45 (2) (2024)
Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. CoRR (2024)
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR (2024)
Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan
Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV (2023)
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Unseen Image Synthesis with Diffusion Models. CoRR (2023)
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 (2023)
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 (2023)
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) (2023)
Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
Probabilistically robust conformal prediction. UAI (2023)
Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
Probabilistically robust conformal prediction. CoRR (2023)
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)
Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan
Boundary Guided Mixing Trajectory for Semantic Control with Diffusion Models. CoRR (2023)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. CoRR (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach. CoRR (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. AAAI (2022)
Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR (2022)
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)
Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang
Adversarial Localized Energy Network for Structured Prediction. AAAI (2020)
Yan Yan, Xin Man, Tianbao Yang
Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. CoRR (2020)
Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
A Simple and Effective Framework for Pairwise Deep Metric Learning. ECCV (27) (2020)
Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang
Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR (2020)
Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
Stochastic Optimization for Non-convex Inf-Projection Problems. ICML (2020)
Ye Zhu, Yu Wu, Yi Yang, Yan Yan
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents. CoRR (2020)
Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR (2020)
Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. CoRR (2020)
Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. CoRR (2020)
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) (2020)
Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. NeurIPS (2020)
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 (2019)
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) (2019)
Yu Wu, Linchao Zhu, Yan Yan, Yi Yang
Dual Attention Matching for Audio-Visual Event Localization. ICCV (2019)
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) (2019)
Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. AAAI (2019)
Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
Stochastic Optimization for Non-convex Inf-Projection Problems. CoRR (2019)
Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS (2019)
Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
a simple and effective framework for pairwise deep metric learning. CoRR (2019)
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)
Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
Style Aggregated Network for Facial Landmark Detection. CVPR (2018)
Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. CoRR (2018)
Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang
Learning Discriminators as Energy Networks in Adversarial Learning. CoRR (2018)
Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin
Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? CoRR (2018)
Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
Style Aggregated Network for Facial Landmark Detection. CoRR (2018)
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)
Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. IJCAI (2018)
Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization. CoRR (2018)
Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen
A Framework of Online Learning with Imbalanced Streaming Data. AAAI (2017)
Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, Kai Zheng
Graph-based clustering and ranking for diversified image search. Multim. Syst. 23 (1) (2017)
Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
Robust Semi-Supervised Learning through Label Aggregation. AAAI (2016)
Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/\epsilon). NIPS (2016)
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) (2016)
Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, Lei Zhao
Multiple graph unsupervised feature selection. Signal Process. 120 (2016)
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)
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)
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) (2015)
Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan
Hybrid Heterogeneous Transfer Learning through Deep Learning. AAAI (2014)