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ORCIDYuan Yao 0011
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong
- affiliation: Peking University, School of Mathematical Sciences, Beijing, China
- affiliation: Stanford University, CA, USA
- affiliation (PhD 2006): University of California, Berkeley, CA, USA
Other persons with the same name
- Yuan Yao — disambiguation page
- Yuan Yao 0001
![[0000-0002-6913-6542]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6913-6542")
— Nanjing University, State Key Laboratory for Novel Software Technology, China - Yuan Yao 0002 — National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan
- Yuan Yao 0003 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 1 more)
- Yuan Yao 0004 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Yuan Yao 0005 — North Carolina State University, Sustainability Science and Engineering, Raleigh, NC, USA (and 1 more)
- Yuan Yao 0006 — Harvard University, Cambridge, MA, USA (and 1 more)
- Yuan Yao 0007 — University of Nottingham Ningbo China, School of Computer Science, Ningbo, China (and 2 more)
- Yuan Yao 0008 — Sanya Aviation and Tourism College, Sanya, China
- Yuan Yao 0009 — Uppsala University, Sweden (and 1 more)
- Yuan Yao 0010 — SUNY at Buffalo, USA (and 1 more)
- Yuan Yao 0012 — Beijing University of Posts and Telecommunications, School of Science, Beijing, China
- Yuan Yao 0013 — Tsinghua University, Institute for Artificial Intelligence, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Yuan Yao 0014 — Wuhan University, Wuhan, China
- Yuan Yao 0015 — Lanzhou University, China
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2020 – today
- 2024
[c37]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 2024- [c36]Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao:
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. ICML 2024 - [i46]Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao:
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR abs/2402.16305 (2024) - [i45]Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao:
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. CoRR abs/2405.03355 (2024) - [i44]Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang:
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR abs/2406.05478 (2024) - [i43]He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li:
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. CoRR abs/2406.13193 (2024) - [i42]Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng:
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. CoRR abs/2407.16397 (2024) - [i41]Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang:
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR abs/2409.00342 (2024) - 2023
- [j17]Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1749-1765 (2023) - [c35]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan:
Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS 2023: 11534-11544 - [c34]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS 2023 - [i40]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao:
Inducing Neural Collapse in Deep Long-tailed Learning. CoRR abs/2302.12453 (2023) - [i39]Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
Transfer Visual Prompt Generator across LLMs. CoRR abs/2305.01278 (2023) - [i38]Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao:
Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR abs/2305.03531 (2023) - [i37]Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li:
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR abs/2306.09296 (2023) - [i36]Jiamin Wu, He Cao, Yuan Yao:
Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches. CoRR abs/2309.16684 (2023) - [i35]Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. CoRR abs/2310.13540 (2023) - 2022
- [j16]Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter:
Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics 16 (2022) - [j15]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3154-3169 (2022) - [j14]Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu:
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6240-6253 (2022) - [j13]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1805-1819 (2022) - [c33]Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang:
Private Streaming SCO in ℓp geometry with Applications in High Dimensional Online Decision Making. ICML 2022: 8249-8279 - [i34]Donghao Li, Yang Cao, Yuan Yao:
Optimizing Random Mixup with Gaussian Differential Privacy. CoRR abs/2202.06467 (2022) - [i33]Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang:
On Private Online Convex Optimization: Optimal Algorithms in 𝓁p-Geometry and High Dimensional Contextual Bandits. CoRR abs/2206.08111 (2022) - [i32]Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding. CoRR abs/2211.06198 (2022) - 2021
- [j12]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao:
Evaluating Visual Properties via Robust HodgeRank. Int. J. Comput. Vis. 129(5): 1732-1753 (2021) - [j11]Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou:
On ADMM in Deep Learning: Convergence and Saturation-Avoidance. J. Mach. Learn. Res. 22: 199:1-199:67 (2021) - [j10]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE Trans. Knowl. Data Eng. 33(6): 2467-2478 (2021) - [c32]Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Deep Partial Rank Aggregation for Personalized Attributes. AAAI 2021: 678-688 - [c31]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. AAAI 2021: 3270-3277 - [c30]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. ICCV 2021: 15796-15806 - [i31]Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao:
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. CoRR abs/2101.00236 (2021) - [i30]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i29]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. CoRR abs/2105.14678 (2021) - [i28]Wenqi Zeng, Siqin Cao, Xuhui Huang, Yuan Yao:
A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer. CoRR abs/2107.06573 (2021) - 2020
- [j9]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics 14: 52 (2020) - [c29]Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI 2020: 262-269 - [c28]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. ICML 2020: 3315-3326 - [i27]Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter:
Crossmodal Language Grounding in an Embodied Neurocognitive Model. CoRR abs/2006.13546 (2020) - [i26]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR abs/2007.02010 (2020) - [i25]Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu:
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning. CoRR abs/2007.08461 (2020) - [i24]Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang:
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. CoRR abs/2007.08740 (2020) - [i23]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. CoRR abs/2012.08687 (2020)
2010 – 2019
- 2019
- [j8]Jiayuan Mao, Yuan Yao, Stefan Heinrich, Tobias Hinz, Cornelius Weber, Stefan Wermter, Zhiyuan Liu, Maosong Sun:
Bootstrapping Knowledge Graphs From Images and Text. Frontiers Neurorobotics 13: 93 (2019) - [j7]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao:
From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 844-856 (2019) - [j6]Jinshan Zeng, Ke Ma, Yuan Yao:
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE Trans. Signal Process. 67(16): 4261-4275 (2019) - [c27]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR 2019: 8993-9001 - [c26]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Global Convergence of Block Coordinate Descent in Deep Learning. ICML 2019: 7313-7323 - [c25]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS 2019: 3896-3906 - [c24]Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang:
Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV 2019: 1308-1317 - [i22]Jinshan Zeng, Shaobo Lin, Yuan Yao:
A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. CoRR abs/1902.02060 (2019) - [i21]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR abs/1903.03956 (2019) - [i20]Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao:
S2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. CoRR abs/1904.10873 (2019) - [i19]Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao:
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR abs/1905.09449 (2019) - [i18]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR abs/1910.05905 (2019) - [i17]Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR abs/1912.00362 (2019) - 2018
- [c23]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. AAAI 2018: 3738-3745 - [c22]Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao:
HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. AAAI 2018: 4326-4334 - [c21]Jinshan Zeng, Ke Ma, Yuan Yao:
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. AISTATS 2018: 199-207 - [c20]Chendi Huang, Yuan Yao:
A Unified Dynamic Approach to Sparse Model Selection. AISTATS 2018: 2047-2055 - [c19]Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai:
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. GlobalSIP 2018: 544-548 - [c18]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) 2018 - [c17]Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang:
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. ICML 2018: 5907-5916 - [c16]Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang:
FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. MICCAI (1) 2018: 611-619 - [c15]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia 2018: 591-599 - [i16]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. CoRR abs/1803.00225 (2018) - [i15]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR abs/1803.09082 (2018) - [i14]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao:
From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation. CoRR abs/1804.11177 (2018) - [i13]Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang:
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. CoRR abs/1806.04360 (2018) - [i12]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. CoRR abs/1807.11014 (2018) - [i11]Chendi Huang, Yuan Yao:
A Unified Dynamic Approach to Sparse Model Selection. CoRR abs/1810.03608 (2018) - 2017
- [c14]Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang:
GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. MICCAI (3) 2017: 107-115 - [c13]Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao:
Exploring Outliers in Crowdsourced Ranking for QoE. ACM Multimedia 2017: 1540-1548 - [i10]Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao:
Exploring Outliers in Crowdsourced Ranking for QoE. CoRR abs/1707.07539 (2017) - [i9]Tsz Kit Lau, Yuan Yao:
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics. CoRR abs/1710.05338 (2017) - [i8]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. CoRR abs/1711.06446 (2017) - [i7]Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang:
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. CoRR abs/1711.07302 (2017) - 2016
- [j5]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 563-577 (2016) - [c12]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. ICML 2016: 1282-1291 - [c11]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. ACM Multimedia 2016: 841-850 - [c10]Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao:
Split LBI: An Iterative Regularization Path with Structural Sparsity. NIPS 2016: 3369-3377 - [i6]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. CoRR abs/1607.03401 (2016) - 2015
- [c9]Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao:
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. KDD 2015: 2197-2206 - [i5]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao:
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR abs/1501.06202 (2015) - [i4]Braxton Osting, Jiechao Xiong, Qianqian Xu, Yuan Yao:
Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs. CoRR abs/1503.00164 (2015) - 2014
- [j4]Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas:
Compressive Network Analysis. IEEE Trans. Autom. Control. 59(11): 2946-2961 (2014) - [j3]Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao:
Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation. IEEE Trans. Multim. 16(2): 373-386 (2014) - [c8]Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao:
Interestingness Prediction by Robust Learning to Rank. ECCV (2) 2014: 488-503 - [i3]Qianqian Xu, Ming Yan, Yuan Yao:
Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. CoRR abs/1407.7636 (2014) - [i2]Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao:
Robust Statistical Ranking: Theory and Algorithms. CoRR abs/1408.3467 (2014) - 2013
- [j2]Xiaoye Jiang, Mo Li, Yuan Yao, Leonidas J. Guibas:
Property management in wireless sensor networks with overcomplete radon bases. ACM Trans. Sens. Networks 9(3): 36:1-36:26 (2013) - [c7]Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao:
Robust evaluation for quality of experience in crowdsourcing. ACM Multimedia 2013: 43-52 - 2012
- [j1]Qianqian Xu, Qingming Huang, Tingting Jiang, Bowei Yan, Weisi Lin, Yuan Yao:
HodgeRank on Random Graphs for Subjective Video Quality Assessment. IEEE Trans. Multim. 14(3-2): 844-857 (2012) - [c6]Qianqian Xu, Qingming Huang, Yuan Yao:
Online crowdsourcing subjective image quality assessment. ACM Multimedia 2012: 359-368 - [c5]Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas:
Detecting Network Cliques with Radon Basis Pursuit. AISTATS 2012: 565-573 - 2011
- [c4]Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao:
Simulating human saccadic scanpaths on natural images. CVPR 2011: 441-448 - [c3]Xiaoye Jiang, Mo Li, Yuan Yao, Leonidas J. Guibas:
Overcomplete Radon bases for target property management in sensor networks. IPSN 2011: 25-36 - [c2]Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan, Weisi Lin:
Random partial paired comparison for subjective video quality assessment via hodgerank. ACM Multimedia 2011: 393-402 - [i1]Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas:
Compressive Network Analysis. CoRR abs/1104.4605 (2011) - 2010
- [c1]Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar E. Carlsson, Vijay S. Pande:
Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. Pacific Symposium on Biocomputing 2010: 228-239
Coauthor Index
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