Yuan Yao - RankMe

125 papers A* 30A 5Misc 1Journal 80Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation. ACM Trans. Intell. Syst. Technol. Yuwei Fan, Yuan Yao, Wei Xi, Quan Zhao, Zelei Liu, Lixin Fan, Qiang Yang, Jian Jin
2026	A*	`conf`	LoRA-E WWW Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang
2025	J	`jnl`	An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes. CoRR Ji Qi, Yuan Yao, Yushi Bai, Bin Xu, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua
2025	J	`jnl`	Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians. CoRR Jiamin Wu, Hongyang Li, Xiaoke Jiang, Yuan Yao, Lei Zhang
2025	A*	`conf`	Elucidating the design space of language models for image generation. ICML Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao
2025	—	`conf`	FedAPM: Federated Learning via ADMM with Partial Model Personalization. KDD (2) Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025	J	`jnl`	FedAPM: Federated Learning via ADMM with Partial Model Personalization. CoRR Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang
2025	A*	`conf`	FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. CVPR Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han
2025	A*	`conf`	LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians. CVPR Jiamin Wu, Kenkun Liu, Han Gao, Xiaoke Jiang, Yuan Yao, Lei Zhang
2025	J	`jnl`	Learning to Bid in Non-Stationary Repeated First-Price Auctions. CoRR Zihao Hu, Xiaoyu Fan, Yuan Yao, Jiheng Zhang, Zhengyuan Zhou
2025	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. J. Mach. Learn. Res. Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2025	J	`jnl`	TextVidBench: A Benchmark for Long Video Scene Text Understanding. CoRR Yangyang Zhong, Ji Qi, Yuan Yao, Pengxin Luo, Yunfeng Yan, Donglian Qi, Zhiyuan Liu, Tat-Seng Chua
2025	J	`jnl`	When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO. CoRR Lingfan Zhang, Chen Liu, Chengming Xu, Kai Hu, Donghao Luo, Chengjie Wang, Yanwei Fu, Yuan Yao
2024	J	`jnl`	A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. CoRR Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao
2024	J	`jnl`	AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
2024	J	`jnl`	Elucidating the design space of language models for image generation. CoRR Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao
2024	J	`jnl`	Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang
2024	J	`jnl`	FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
2024	A*	`conf`	KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR 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
2024	A*	`conf`	Mitigating the Alignment Tax of RLHF. EMNLP Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang
2024	—	`conf`	NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release. CPAL Donghao Li, Yang Cao, Yuan Yao
2024	J	`jnl`	On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness. CoRR Shengkun Zhu, Jinshan Zeng, Sheng Wang, Yuan Sun, Xiaodong Li, Yuan Yao, Zhiyong Peng
2024	J	`jnl`	PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes. CoRR He Cao, Yanjun Shao, Zhiyuan Liu, Zijing Liu, Xiangru Tang, Yuan Yao, Yu Li
2024	J	`jnl`	Random Smoothing Regularization in Kernel Gradient Descent Learning. J. Mach. Learn. Res. Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao
2024	A*	`conf`	Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. ICML Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
2024	J	`jnl`	Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
2024	J	`jnl`	Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
2024	A*	`conf`	Towards Global Optimal Visual In-Context Learning Prompt Selection. NeurIPS Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu
2024	J	`jnl`	UniG: Modelling Unitary 3D Gaussians for View-consistent 3D Reconstruction. CoRR Jiamin Wu, Kenkun Liu, Yukai Shi, Xiaoke Jiang, Yuan Yao, Lei Zhang
2023	J	`jnl`	Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao
2023	A	`conf`	Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan
2023	J	`jnl`	Inducing Neural Collapse in Deep Long-tailed Learning. CoRR Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao
2023	J	`jnl`	KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR 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
2023	J	`jnl`	Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches. CoRR Jiamin Wu, He Cao, Yuan Yao
2023	J	`jnl`	Mitigating the Alignment Tax of RLHF. CoRR Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Yuan Yao, Tong Zhang
2023	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. CoRR Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2023	J	`jnl`	Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao
2023	J	`jnl`	Transfer Visual Prompt Generator across LLMs. CoRR Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
2023	A*	`conf`	VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua
2022	J	`jnl`	Exploring Vision Transformers as Diffusion Learners. CoRR He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang
2022	J	`jnl`	How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu
2022	J	`jnl`	Image-to-Video Generation via 3D Facial Dynamics. IEEE Trans. Circuits Syst. Video Technol. Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng
2022	J	`jnl`	Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
2022	J	`jnl`	On Private Online Convex Optimization: Optimal Algorithms in 𝓁 CoRR Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang
2022	J	`jnl`	Optimizing Random Mixup with Gaussian Differential Privacy. CoRR Donghao Li, Yang Cao, Yuan Yao
2022	A*	`conf`	Private Streaming SCO in ℓ ICML Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang
2022	J	`jnl`	Spatial relation learning in complementary scenarios with deep neural networks. Frontiers Neurorobotics Jae Hee Lee, Yuan Yao, Ozan Özdemir, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter
2022	J	`jnl`	StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding. CoRR Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2021	J	`jnl`	A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer. CoRR Wenqi Zeng, Siqin Cao, Xuhui Huang, Yuan Yao
2021	A*	`conf`	Deep Partial Rank Aggregation for Personalized Attributes. AAAI Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
2021	J	`jnl`	Evaluating Visual Properties via Robust HodgeRank. Int. J. Comput. Vis. Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao
2021	J	`jnl`	Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE Trans. Knowl. Data Eng. Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2021	J	`jnl`	Federated Deep Learning with Bayesian Privacy. CoRR Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
2021	J	`jnl`	Image-to-Video Generation via 3D Facial Dynamics. CoRR Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng
2021	J	`jnl`	On ADMM in Deep Learning: Convergence and Saturation-Avoidance. J. Mach. Learn. Res. Jinshan Zeng, Shao-Bo Lin, Yuan Yao, Ding-Xuan Zhou
2021	J	`jnl`	On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization. CoRR Jinshan Zeng, Yixuan Zha, Ke Ma, Yuan Yao
2021	A*	`conf`	StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. AAAI Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2021	A*	`conf`	Visual Distant Supervision for Scene Graph Generation. ICCV Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun
2021	J	`jnl`	Visual Distant Supervision for Scene Graph Generation. CoRR Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun
2020	J	`jnl`	Crossmodal Language Grounding in an Embodied Neurocognitive Model. CoRR Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter
2020	J	`jnl`	Crossmodal Language Grounding in an Embodied Neurocognitive Model. Frontiers Neurorobotics Stefan Heinrich, Yuan Yao, Tobias Hinz, Zhiyuan Liu, Thomas Hummel, Matthias Kerzel, Cornelius Weber, Stefan Wermter
2020	A*	`conf`	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. ICML Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020	J	`jnl`	DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. CoRR Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020	J	`jnl`	How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning. CoRR Yikai Wang, Li Zhang, Yuan Yao, Yanwei Fu
2020	J	`jnl`	Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space. CoRR Xinwei Sun, Wenjing Han, Lingjing Hu, Yuan Yao, Yizhou Wang
2020	J	`jnl`	StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. CoRR Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao
2020	A*	`conf`	Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning. CoRR Jinshan Zeng, Shaobo Lin, Yuan Yao
2019	J	`jnl`	Bootstrapping Knowledge Graphs From Images and Text. Frontiers Neurorobotics Jiayuan Mao, Yuan Yao, Stefan Heinrich, Tobias Hinz, Cornelius Weber, Stefan Wermter, Zhiyuan Liu, Maosong Sun
2019	A*	`conf`	Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2019	J	`jnl`	From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	A*	`conf`	Global Convergence of Block Coordinate Descent in Deep Learning. ICML Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2019	J	`jnl`	On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming. IEEE Trans. Signal Process. Jinshan Zeng, Ke Ma, Yuan Yao
2019	J	`jnl`	Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. CoRR Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2019	J	`jnl`	S CoRR Yanwei Fu, Donghao Li, Xinwei Sun, Shun Zhang, Yizhou Wang, Yuan Yao
2019	A	`conf`	Zero-Shot Learning Via Recurrent Knowledge Transfer. WACV Bo Zhao, Xinwei Sun, Xiaopeng Hong, Yuan Yao, Yizhou Wang
2019	A*	`conf`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2019	J	`jnl`	iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	A*	`conf`	A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	J	`jnl`	A Margin-based MLE for Crowdsourced Partial Ranking. CoRR Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	—	`conf`	A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018	J	`jnl`	A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018	A	`conf`	A Unified Dynamic Approach to Sparse Model Selection. AISTATS Chendi Huang, Yuan Yao
2018	J	`jnl`	A Unified Dynamic Approach to Sparse Model Selection. CoRR Chendi Huang, Yuan Yao
2018	J	`jnl`	Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. CoRR Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao
2018	—	`conf`	Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. GlobalSIP Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai
2018	—	`conf`	FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis. MICCAI (1) Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang
2018	A	`conf`	Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. AISTATS Jinshan Zeng, Ke Ma, Yuan Yao
2018	J	`jnl`	From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation. CoRR Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao
2018	A*	`conf`	HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. AAAI Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao
2018	A*	`conf`	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. ICML Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
2018	J	`jnl`	MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. CoRR Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
2018	A*	`conf`	Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. AAAI Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2017	J	`jnl`	Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics. CoRR Tsz Kit Lau, Yuan Yao
2017	A*	`conf`	Exploring Outliers in Crowdsourced Ranking for QoE. ACM Multimedia Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
2017	J	`jnl`	Exploring Outliers in Crowdsourced Ranking for QoE. CoRR Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao
2017	—	`conf`	GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction. MICCAI (3) Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
2017	J	`jnl`	Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. CoRR Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
2017	J	`jnl`	Zero-shot Learning via Shared-Reconstruction-Graph Pursuit. CoRR Bo Zhao, Xinwei Sun, Yuan Yao, Yizhou Wang
2016	A*	`conf`	False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. ICML Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao
2016	A*	`conf`	Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. ACM Multimedia Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao
2016	J	`jnl`	Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. CoRR Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao
2016	J	`jnl`	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. IEEE Trans. Pattern Anal. Mach. Intell. Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
2016	—	`conf`	Split LBI: An Iterative Regularization Path with Structural Sparsity. NIPS Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao
2015	J	`jnl`	Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs. CoRR Braxton Osting, Jiechao Xiong, Qianqian Xu, Yuan Yao
2015	A*	`conf`	Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. KDD Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao
2015	J	`jnl`	Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels. CoRR Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
2014	J	`jnl`	Compressive Network Analysis. IEEE Trans. Autom. Control. Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas
2014	J	`jnl`	Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. CoRR Qianqian Xu, Ming Yan, Yuan Yao
2014	—	`conf`	Interestingness Prediction by Robust Learning to Rank. ECCV (2) Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong, Yuan Yao
2014	J	`jnl`	Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation. IEEE Trans. Multim. Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao
2014	J	`jnl`	Robust Statistical Ranking: Theory and Algorithms. CoRR Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao
2013	J	`jnl`	Property management in wireless sensor networks with overcomplete radon bases. ACM Trans. Sens. Networks Xiaoye Jiang, Mo Li, Yuan Yao, Leonidas J. Guibas
2013	A*	`conf`	Robust evaluation for quality of experience in crowdsourcing. ACM Multimedia Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao
2012	A	`conf`	Detecting Network Cliques with Radon Basis Pursuit. AISTATS Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas
2012	J	`jnl`	HodgeRank on Random Graphs for Subjective Video Quality Assessment. IEEE Trans. Multim. Qianqian Xu, Qingming Huang, Tingting Jiang, Bowei Yan, Weisi Lin, Yuan Yao
2012	A*	`conf`	Online crowdsourcing subjective image quality assessment. ACM Multimedia Qianqian Xu, Qingming Huang, Yuan Yao
2011	J	`jnl`	Compressive Network Analysis CoRR Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas
2011	—	`conf`	Overcomplete Radon bases for target property management in sensor networks. IPSN Xiaoye Jiang, Mo Li, Yuan Yao, Leonidas J. Guibas
2011	A*	`conf`	Random partial paired comparison for subjective video quality assessment via hodgerank. ACM Multimedia Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan, Weisi Lin
2011	A*	`conf`	Simulating human saccadic scanpaths on natural images. CVPR Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao
2010	Misc	`conf`	Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. Pacific Symposium on Biocomputing Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar E. Carlsson, Vijay S. Pande