Yuan Yao

According to our database, Yuan Yao authored at least 57 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion.

Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao

CoRR, 2024

2023

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.

Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches.

Jiamin Wu, He Cao, Yuan Yao

CoRR, 2023

Random Smoothing Regularization in Kernel Gradient Descent Learning.

Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

CoRR, 2023

Inducing Neural Collapse in Deep Long-tailed Learning.

Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.

Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding.

Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

CoRR, 2022

Optimizing Random Mixup with Gaussian Differential Privacy.

Donghao Li, Yang Cao, Yuan Yao

CoRR, 2022

2021

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

IEEE Trans. Knowl. Data Eng., 2021

On ADMM in Deep Learning: Convergence and Saturation-Avoidance.

Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou

J. Mach. Learn. Res., 2021

Evaluating Visual Properties via Robust HodgeRank.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

Int. J. Comput. Vis., 2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.

Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao

CoRR, 2021

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding.

Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Partial Rank Aggregation for Personalized Attributes.

Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space.

Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang

CoRR, 2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.

Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

Proceedings of the 37th International Conference on Machine Learning, 2020

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings.

Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.

Jinshan Zeng, Ke Ma, Yuan Yao

IEEE Trans. Signal Process., 2019

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

CoRR, 2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.

Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

CoRR, 2019

S²-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning.

Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao

CoRR, 2019

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.

Jinshan Zeng, Shaobo Lin, Yuan Yao

CoRR, 2019

Zero-Shot Learning Via Recurrent Knowledge Transfer.

Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI.

Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Global Convergence of Block Coordinate Descent in Deep Learning.

Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.

Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

CoRR, 2018

A Margin-based MLE for Crowdsourced Partial Ranking.

Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis.

Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning.

Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.

Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao

Proceedings of the 6th International Conference on Learning Representations, 2018

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.

Jinshan Zeng, Ke Ma, Yuan Yao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

A Unified Dynamic Approach to Sparse Model Selection.

Chendi Huang, Yuan Yao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation.

Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Zero-shot Learning via Shared-Reconstruction-Graph Pursuit.

Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang

CoRR, 2017

Exploring Outliers in Crowdsourced Ranking for QoE.

Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the 2017 ACM on Multimedia Conference, 2017

GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction.

Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels.

Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Split LBI: An Iterative Regularization Path with Structural Sparsity.

Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs.

Braxton Osting, Jiechao Xiong, Qianqian Xu, Yuan Yao

CoRR, 2015

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications.

Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

IEEE Trans. Multim., 2014

Compressive Network Analysis.

Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas

IEEE Trans. Autom. Control., 2014

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience.

Qianqian Xu, Ming Yan, Yuan Yao

CoRR, 2014

Robust Statistical Ranking: Theory and Algorithms.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

CoRR, 2014

Interestingness Prediction by Robust Learning to Rank.

Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Robust evaluation for quality of experience in crowdsourcing.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the ACM Multimedia Conference, 2013

2012

HodgeRank on Random Graphs for Subjective Video Quality Assessment.

Qianqian Xu, Qingming Huang, Tingting Jiang, Bowei Yan, Weisi Lin, Yuan Yao

IEEE Trans. Multim., 2012

Detecting Network Cliques with Radon Basis Pursuit.

Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Online crowdsourcing subjective image quality assessment.

Qianqian Xu, Qingming Huang, Yuan Yao

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011

Random partial paired comparison for subjective video quality assessment via hodgerank.

Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan, Weisi Lin

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Simulating human saccadic scanpaths on natural images.

Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011