Hybrid Heterogeneous Transfer Learning through Deep Learning. - Joey Tianyi Zhou; Sinno Jialin Pan; Ivor W. Tsang; Yan Yan 006 (AAAI, 2014)

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Chengqi Zhang; Qinfeng Shi (IJCAI, 2015)

Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition. - Yahong Han; Yi Yang 001; Yan Yan 006; Zhigang Ma; Nicu Sebe; Xiaofang Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. - Mingkui Tan; Yan Yan 006; Li Wang 033; Anton van den Hengel; Ivor W. Tsang; Qinfeng (Javen) Shi (AAAI, 2016)

Robust Semi-Supervised Learning through Label Aggregation. - Yan Yan 006; Zhongwen Xu; Ivor W. Tsang; Guodong Long; Yi Yang 001 (AAAI, 2016)

Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ epsilon). - Yi Xu 008; Yan Yan 006; Qihang Lin; Tianbao Yang (NIPS, 2016)

Multiple graph unsupervised feature selection. - Xingzhong Du; Yan Yan 006; Pingbo Pan; Guodong Long; Lei Zhao 001 (Signal Process., 2016)

Image Classification by Cross-Media Active Learning With Privileged Information. - Yan Yan 006; Feiping Nie 001; Wen Li 001; Chenqiang Gao; Yi Yang 001; Dong Xu 001 (IEEE Trans. Multim., 2016)

A Framework of Online Learning with Imbalanced Streaming Data. - Yan Yan 006; Tianbao Yang; Yi Yang 001; Jianhui Chen (AAAI, 2017)

Graph-based clustering and ranking for diversified image search. - Yan Yan 006; Gaowen Liu; Sen Wang 001; Jian Zhang 026; Kai Zheng 001 (Multim. Syst., 2017)

Style Aggregated Network for Facial Landmark Detection. - Xuanyi Dong; Yan Yan 006; Wanli Ouyang; Yi Yang 001 (CVPR, 2018)

Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. - Yu Wu 011; Yutian Lin; Xuanyi Dong; Yan Yan 006; Wanli Ouyang; Yi Yang 001 (CVPR, 2018)

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. - Guoliang Kang; Liang Zheng 001; Yan Yan 006; Yi Yang 001 (ECCV (11), 2018)

A Unified Analysis of Stochastic Momentum Methods for Deep Learning. - Yan Yan 006; Tianbao Yang; Zhe Li 008; Qihang Lin; Yi Yang 001 (IJCAI, 2018)

Learning Discriminators as Energy Networks in Adversarial Learning. - Pingbo Pan; Yan Yan 006; Tianbao Yang; Yi Yang 001 (CoRR, 2018)

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? - Tianbao Yang; Yan Yan 006; Zhuoning Yuan; Rong Jin 001 (CoRR, 2018)

Large-scale machine learning algorithms for big data - Yan Yan 006 (2018)

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. - Yanbin Liu; Yan Yan 006; Ling Chen 006; Yahong Han; Yi Yang 001 (AAAI, 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 006; Jian Chen 011 (IJCAI, 2019)

Stagewise Training Accelerates Convergence of Testing Error Over SGD. - Zhuoning Yuan; Yan Yan 006; Rong Jin 001; Tianbao Yang (NeurIPS, 2019)

Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure. - Yan Yan 006; Yi Xu 008; Qihang Lin; Lijun Zhang 005; Tianbao Yang (CoRR, 2019)

Late Fusion via Subspace Search With Consistency Preservation. - Xuanyi Dong; Yan Yan 006; Mingkui Tan; Yi Yang 001; Ivor W. Tsang (IEEE Trans. Image Process., 2019)

Progressive Learning for Person Re-Identification With One Example. - Yu Wu 011; Yutian Lin; Xuanyi Dong; Yan Yan 006; Wei Bian; Yi Yang 001 (IEEE Trans. Image Process., 2019)

Adversarial Localized Energy Network for Structured Prediction. - Pingbo Pan; Ping Liu 004; Yan Yan 006; Tianbao Yang; Yi Yang 001 (AAAI, 2020)

A Simple and Effective Framework for Pairwise Deep Metric Learning. - Qi Qi 006; Yan Yan 006; Zixuan Wu; Xiaoyu Wang 002; Tianbao Yang (ECCV (27), 2020)

Stochastic Optimization for Non-convex Inf-Projection Problems. - Yan Yan 006; Yi Xu 008; Lijun Zhang 005; Xiaoyu Wang 002; Tianbao Yang (ICML, 2020)

Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. - Yan Yan 006; Yi Xu 008; Qihang Lin; Wei Liu 005; Tianbao Yang (NeurIPS, 2020)

Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. - Yan Yan 006; Yi Xu 008; Qihang Lin; Wei Liu 005; Tianbao Yang (CoRR, 2020)

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. - Zhishuai Guo; Zixuan Wu; Yan Yan 006; Xiaoyu Wang 002; Tianbao Yang (CoRR, 2020)

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. - Zhishuai Guo; Zhuoning Yuan; Yan Yan 006; Tianbao Yang (CoRR, 2020)

Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. - Yan Yan 006; Xin Man; Tianbao Yang (CoRR, 2020)

Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. - Zhuoning Yuan; Yan Yan 006; Milan Sonka; Tianbao Yang (CoRR, 2020)

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. - Yan Yan 006; Mingkui Tan; Ivor W. Tsang; Yi Yang 001; Qinfeng Shi; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2020)

Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. - Zhuoning Yuan; Yan Yan 006; Milan Sonka; Tianbao Yang (ICCV, 2021)

Neural graph personalized ranking for Top-N Recommendation. - Zhibin Hu; Jiachun Wang; Yan Yan 006; Peilin Zhao; Jian Chen 011; Jin Huang 003 (Knowl. Based Syst., 2021)

Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. - Taha Belkhouja; Yan Yan 006; Janardhan Rao Doppa (AAAI, 2022)

Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. - Subhankar Ghosh; Taha Belkhouja; Yan Yan 006; Janardhan Rao Doppa (AAAI, 2023)

Probabilistically robust conformal prediction. - Subhankar Ghosh; Yuanjie Shi; Taha Belkhouja; Yan Yan 006; Jana Doppa; Brian Jones (UAI, 2023)

Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. - Zhishuai Guo; Yan Yan 006; Zhuoning Yuan; Tianbao Yang (J. Mach. Learn. Res., 2023)

Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. - Taha Belkhouja; Yan Yan 006; Janardhan Rao Doppa (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. - Ziquan Liu; Yufei Cui; Yan Yan 006; Yi Xu 008; Xiangyang Ji; Xue Liu 001; Antoni B. Chan (ICML, 2024)

Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. - Yuanjie Shi; Subhankar Ghosh; Taha Belkhouja; Jana Doppa; Yan Yan 006 (NeurIPS, 2024)

Improve robustness of machine learning via efficient optimization and conformal prediction. - Yan Yan 006 (AI Mag., 2024)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Yan Yan 006; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (CoRR, 2024)

Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. - Taha Belkhouja; Yan Yan 006; Janardhan Rao Doppa (ACM Trans. Intell. Syst. Technol., 2024)

Federated Rényi Fair Inference in Federated Heterogeneous System. - Zhiyong Ma; Yuanjie Shi; Yan Yan 006; Jian Chen 011 (UAI, 2025)

Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression. - Hooman Shahrokhi; Devjeet Raj Roy; Yan Yan 006; Venera Arnaoudova; Jana Doppa (UAI, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

Direct Prediction Set Minimization via Bilevel Conformal Classifier Training. - Yuanjie Shi; Hooman Shahrokhi; Xuesong Jia; Xiongzhi Chen; Janardhan Rao Doppa; Yan Yan 006 (CoRR, 2025)

A million-scale dataset and generalizable foundation model for nanomaterial-protein interactions. - Hengjie Yu; Kenneth A. Dawson; Haiyun Yang; Shuya Liu; Yan Yan 006; Yaochu Jin (CoRR, 2025)

ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction. - Danhui Chen; Ziquan Liu; Chuxi Yang; Dan Wang; Yan Yan 006; Yi Xu 008; Xiangyang Ji (CoRR, 2025)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model. - Weitai Kang; Weiming Zhuang; Zhizhong Li; Yan Yan 006; Lingjuan Lyu (CoRR, 2025)