Yan Yan - RankMe

69 papers A* 21A 3Journal 41Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds. AAAI Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan
2025	J	`jnl`	A million-scale dataset and generalizable foundation model for nanomaterial-protein interactions. CoRR Hengjie Yu, Kenneth A. Dawson, Haiyun Yang, Shuya Liu, Yan Yan, Yaochu Jin
2025	A	`conf`	Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression. UAI Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Jana Doppa
2025	J	`jnl`	Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression. CoRR Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, Janardhan Rao Doppa
2025	J	`jnl`	ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction. CoRR Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, Xiangyang Ji
2025	J	`jnl`	Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds. CoRR Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	A*	`conf`	Direct Prediction Set Minimization via Bilevel Conformal Classifier Training. ICML Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan
2025	J	`jnl`	Direct Prediction Set Minimization via Bilevel Conformal Classifier Training. CoRR Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Janardhan Rao Doppa, Yan Yan
2025	J	`jnl`	Empowering scientific discovery with explainable small domain-specific and large language models. Artif. Intell. Rev. Hengjie Yu, Yizhi Wang, Tao Cheng, Yan Yan, Kenneth A. Dawson, Sam F. Y. Li, Yefeng Zheng, Yaochu Jin
2025	J	`jnl`	ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model. CoRR Weitai Kang, Weiming Zhuang, Zhizhong Li, Yan Yan, Lingjuan Lyu
2025	A	`conf`	Federated Rényi Fair Inference in Federated Heterogeneous System. UAI Zhiyong Ma, Yuanjie Shi, Yan Yan, Jian Chen
2024	A*	`conf`	Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. NeurIPS Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Jana Doppa, Yan Yan
2024	J	`jnl`	Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration. CoRR Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
2024	J	`jnl`	Improve robustness of machine learning via efficient optimization and conformal prediction. AI Mag. Yan Yan
2024	J	`jnl`	Out-of-distribution Detection in Time-series Domain: A Novel Seasonal Ratio Scoring Approach. ACM Trans. Intell. Syst. Technol. Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2024	J	`jnl`	Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. CoRR Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa
2024	A*	`conf`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. ICML Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2024	J	`jnl`	The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks. CoRR Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan
2023	J	`jnl`	Dynamic Time Warping Based Adversarial Framework for Time-Series Domain. IEEE Trans. Pattern Anal. Mach. Intell. Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	J	`jnl`	Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition. J. Mach. Learn. Res. Zhishuai Guo, Yan Yan, Zhuoning Yuan, Tianbao Yang
2023	A*	`conf`	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. AAAI Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	J	`jnl`	Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis. CoRR Subhankar Ghosh, Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2023	A	`conf`	Probabilistically robust conformal prediction. UAI Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
2023	J	`jnl`	Probabilistically robust conformal prediction. CoRR Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones
2022	J	`jnl`	Dynamic Time Warping based Adversarial Framework for Time-Series Domain. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	J	`jnl`	Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	A*	`conf`	Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. AAAI Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2022	J	`jnl`	Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. CoRR Taha Belkhouja, Yan Yan, Janardhan Rao Doppa
2021	A*	`conf`	Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. ICCV Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
2021	J	`jnl`	Neural graph personalized ranking for Top-N Recommendation. Knowl. Based Syst. Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen, Jin Huang
2020	—	`conf`	A Simple and Effective Framework for Pairwise Deep Metric Learning. ECCV (27) Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
2020	A*	`conf`	Adversarial Localized Energy Network for Structured Prediction. AAAI Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, Yi Yang
2020	J	`jnl`	Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems. CoRR Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang
2020	J	`jnl`	Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang
2020	J	`jnl`	Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. CoRR Yan Yan, Xin Man, Tianbao Yang
2020	A*	`conf`	Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. NeurIPS Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
2020	J	`jnl`	Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives. CoRR Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang
2020	J	`jnl`	Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. CoRR Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang
2020	J	`jnl`	Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization. CoRR Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang
2020	A*	`conf`	Stochastic Optimization for Non-convex Inf-Projection Problems. ICML Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
2019	A*	`conf`	Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection. AAAI Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang
2019	J	`jnl`	Late Fusion via Subspace Search With Consistency Preservation. IEEE Trans. Image Process. Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang
2019	A*	`conf`	Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. IJCAI Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen
2019	J	`jnl`	Progressive Learning for Person Re-Identification With One Example. IEEE Trans. Image Process. Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, Yi Yang
2019	A*	`conf`	Stagewise Training Accelerates Convergence of Testing Error Over SGD. NeurIPS Zhuoning Yuan, Yan Yan, Rong Jin, Tianbao Yang
2019	J	`jnl`	Stochastic Optimization for Non-convex Inf-Projection Problems. CoRR Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
2019	J	`jnl`	Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure. CoRR Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang
2019	J	`jnl`	a simple and effective framework for pairwise deep metric learning. CoRR Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang
2018	A*	`conf`	A Unified Analysis of Stochastic Momentum Methods for Deep Learning. IJCAI Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
2018	J	`jnl`	A Unified Analysis of Stochastic Momentum Methods for Deep Learning. CoRR Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
2018	—	`conf`	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. ECCV (11) Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
2018	J	`jnl`	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization. CoRR Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
2018	A*	`conf`	Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning. CVPR Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
2018	—	`—`	Large-scale machine learning algorithms for big data Yan Yan
2018	J	`jnl`	Learning Discriminators as Energy Networks in Adversarial Learning. CoRR Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang
2018	A*	`conf`	Style Aggregated Network for Facial Landmark Detection. CVPR Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
2018	J	`jnl`	Style Aggregated Network for Facial Landmark Detection. CoRR Xuanyi Dong, Yan Yan, Wanli Ouyang, Yi Yang
2018	J	`jnl`	Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD? CoRR Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin
2017	A*	`conf`	A Framework of Online Learning with Imbalanced Streaming Data. AAAI Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen
2017	J	`jnl`	Graph-based clustering and ranking for diversified image search. Multim. Syst. Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, Kai Zheng
2016	—	`conf`	Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/\epsilon). NIPS Yi Xu, Yan Yan, Qihang Lin, Tianbao Yang
2016	J	`jnl`	Image Classification by Cross-Media Active Learning With Privileged Information. IEEE Trans. Multim. Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, Dong Xu
2016	A*	`conf`	Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi
2016	J	`jnl`	Multiple graph unsupervised feature selection. Signal Process. Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, Lei Zhao
2016	A*	`conf`	Robust Semi-Supervised Learning through Label Aggregation. AAAI Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
2015	A*	`conf`	Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi
2015	J	`jnl`	Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition. IEEE Trans. Neural Networks Learn. Syst. Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe, Xiaofang Zhou
2014	A*	`conf`	Hybrid Heterogeneous Transfer Learning through Deep Learning. AAAI Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan