Publications

Conference Publications

1. Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
   Yuanjie Shi*, Hooman Shahrokhi*, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan
   In ICML 2025

2. Federated R'enyi Fair Inference in Federated Heterogeneous System
   Zhiyong Ma*, Yuanjie Shi*, Yan Yan, Jian Chen
   In UAI 2025

3. Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
   Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Jana Doppa
   In UAI 2025

4. Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration [arXiv]
   Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Jana Doppa, Yan Yan
   In NeurIPS 2024

5. Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach [arXiv]
   Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
   In IJCAI 2024

6. The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks [arXiv]
   Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
   In ICML 2024

7. Probabilistically Robust Conformal Prediction [arXiv]
   Subhankar Ghosh*, Yuanjie Shi*, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
   In UAI 2023

8. Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis [arXiv]
   Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
   In AAAI 2023

9. Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis [arXiv]
   Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
   In AAAI 2022

10. Robust deep auc maximization: A new surrogate loss and empirical studies on medical image classification [arXiv]
    Yuan, Zhuoning, Yan Yan, Milan Sonka, and Tianbao Yang
    In ICCV 2021

11. Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization [arXiv]
    Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
    In NeurIPS 2020

12. Stochastic Optimization for Non-convex Inf-Projection Problems [arXiv]
    Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
    In ICML 2020

13. A Simple and Effective Framework for Pairwise Deep Metric Learning [arXiv]
    Qi Qi, Yan Yan, Xiaoyu Wang and Tianbao Yang
    In ECCV 2020

14. Adversarial Localized Energy Network for Structured Prediction [arXiv]
    Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang
    In AAAI 2020

15. Stagewise Training Accelerates Convergence of Testing Error Over SGD [arXiv]
    Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
    In NeurIPS 2019

16. Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching
    Zhibin Hu*, Yongsheng Luo*, Jiong Lin*, Yan Yan and Jian Chen
    In IJCAI 2019

17. Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
    Yanbin Liu, Yan Yan, Ling Chen, Yahong Han and Yi Yang
    In AAAI 2019

18. Deep adversarial attention alignment for unsupervised domain adaptation: the benefit of target expectation maximization [arXiv]
    Guoliang Kang, Liang Zheng, Yan Yan, and Yi Yang
    In ECCV 2018

19. A Unified Analysis of Stochastic Momentum Methods for Deep Learning [arXiv]
    Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin and Yi Yang
    In IJCAI 2018

20. Style Aggregated Network for Facial Landmark Detection [arXiv]
    Xuanyi Dong, Yan Yan, Wanli Ouyang and Yi Yang
    In CVPR 2018

21. Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning
    Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang and Yi Yang
    In CVPR 2018

22. A Framework of Online Learning with Imbalanced Streaming Data
    Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen
    In AAAI 2017

23. Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/) [arXiv]
    Yi Xu*, Yan Yan*, Qihang Lin, Tianbao Yang
    In NeurIPS 2016

24. Robust Semi-supervised Learning through Label Aggregation
    Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
    In AAAI 2016

25. 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
    In AAAI 2016

26. Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
    Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang and Qinfeng (Javen) Shi
    In IJCAI 2015

27. Hybrid Heterogeneous Transfer Learning through Deep Learning
    Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang and Yan Yan
    In AAAI 2014

Journal Publications

1. A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images with Multi-Relationship Graph Learning
   Zhang, Mengliang and Hu, Xinyue and Gu, Lin and Liu, Liangchen and Kobayashi, Kazuma and Harada, Tatsuya and Yan, Yan and Summers, Ronald M. and Zhu, Yingying.
   In IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2024.3441494.
   

2. Improve Robustness of Machine Learning via Efficient Optimization and Conformal Prediction.
   Yan Yan
   AI Magazine (2024).

3. Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach [arXiv]
   Taha Belkhouja, Yan Yan, Janardhan Doppa.
   ACM Transactions on Intelligent Systems And Technology (ACM TIST), Accepted, 2023.

4. Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems [arXiv]
   Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
   Journal of Machine Learning Research 24 (2023): 1-63.

5. Dynamic Time Warping based Adversarial Framework for TimeSeries Domain [arXiv]
   Taha Belkhouja, Yan Yan, Janardhan Doppa.
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Accepted.
   

6. Neural graph personalized ranking for Top-N Recommendation
   Zhibin Hu, Jianchun Wang, Yan Yan, Peilin Zhao, Jian Chen and Jin Huang
   Knowledge-Based Systems 213 (2021): 106426.
   

7. Progressive Learning for Person Re-Identification With One Example
   Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian and Yi Yang
   IEEE Transactions on Image Processing, vol. 28, no. 6, pp. 2872 - 2881, Jun. 2019.

8. Late Fusion via Subspace Search With Consistency Preservation
   Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang and Ivor W. Tsang
   IEEE Transactions on Image Processing, vol. 28, no. 1, pp. 518-528, Jan. 2019.

9. Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study
   Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi and Chengqi Zhang
   IEEE Transactions on Knowledge and Data Engineering 32, no. 2 (2018): 288-301.

10. Image Classification by Cross-Media Active Learning with Privileged Information
    Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu
    IEEE Transactions on Multimedia, vol. 18, no. 12 (2016): 2494-2502.

11. Semi-Supervised Feature Selection via Spline Regression for Video Semantic Recognition
    Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe and Xiaofang Zhou
    IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 2 (2015): 252-264.

12. Multiple Graph Unsupervised Feature Selection
    Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long and Lei Zhao
    Signal Processing 120 (2016): 754-760.

13. Graph-Based Clustering and Ranking for Diversified Image Search
    Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang and Kai Zheng
    Multimedia Systems, vol. 23, no. 1 (2017): 41-52.

14. Subcellular localization prediction for human internal and organelle membrane proteins with projected gene ontology scores
    Pufeng Du, Yang Tian and Yan Yan
    Journal of Theoretical Biology 313 (2012): 61-67.

Book Chapters

1. Yan Yan. ‘‘Machine Learning Fundamentals.’’ Machine Learning in Chemical Safety and Health: Fundamentals with Applications (2022): 19. Editor: Qingsheng Wang , Changjie Cai.

2. Yan Yan. ‘‘Machine Learning Fundamentals.’’ Encyclopedia of Smart Agriculture Technologies (2023). Editor: Qin Zhang. DOI: https:doi.org10.1007978-3-030-89123-7.

Workshop Papers

1. Sharp Analysis of Simple Restarted Stochastic Gradient Methods for Min-Max Optimization
   Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
   Bridging Game Theory and Deep Learning Workshop NeurIPS 2019 (Smooth Games Optimization and Machine Learning Series).

Preprints

1. Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise [arXiv]
   Yan Yan, Xin Man, Tianbao Yang
   arXiv preprint arXiv:2006.10095 (2020). Under review.

2. Stochastic Primal-Dual Algorithms with Faster Convergence than for Problems without Bilinear Structure [arXiv]
   Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang
   arXiv preprint arXiv:1904.10112 (2019). Under review.