yuany

YAO, Yuan
姚遠

(PhD University of California at Berkeley)

Phone: (852) 2358 7461
Email: yuany@ust.hk
Office: Room 3430
Home Page

Professor



Research Interests

Topological & geometric methods in data analysis, statistical machine learning, applications in computer and life sciences

Teaching

  • MATH5470  Statistical Machine Learning
  • MATH5473  Topological and Geometric Data Reduction and Visualization
  • MATH6911Q  Reading Course: Anomaly Detection in Graph Neural Networks

Selected Publications

  Article

  1. Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate
    • Author(s): Cao, Yang; Sun, Xinwei; Yao, Yuan
    • Source: Journal of the American Statistical Association, v. 00, (0), January 2024, p. 1-11
    • Year: 2024

  2. Controlling the false discovery rate in transformational sparsity: Split Knockoffs
    • Author(s): Cao, Yang; Sun, Xinwei; Yao, Yuan
    • Source: Journal of the Royal Statistical Society Series B: Statistical Methodology, November 2023, p. 1-25
    • Year: 2023

  3. SARS-CoV-2 RNA-Dependent RNA Polymerase Follows Asynchronous Translocation Pathway for Viral Transcription and Replication
    • Author(s): Wang, Xiaowei; Xu, Tiantian; Yao, Yuan; Cheung, Peter Pak-Hang; Gao, Xin; Zhang, Lu
    • Source: Journal of Physical Chemistry Letters, v. 14, (45), November 2023, p. 10119-10128
    • Year: 2023

  4. Exploring structural sparsity of deep networks via inverse scale spaces
    • Author(s): Fu, Yanwei; Liu, Chen; Li, Donghao; Zhong, Zuyuan; Sun, Xinwei; Zeng, Jinshan; Yao, Yuan
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 45, (2), February 2023, p. 1749-1765
    • Year: 2023

  5. Unveiling the "template-Dependent" Inhibition on the Viral Transcription of SARS-CoV-2
    • Author(s): Luo, Xueying; Wang, Xiaowei; Yao, Yuan; Gao, Xin; Zhang, Lu
    • Source: Journal of Physical Chemistry Letters, v. 13, (31), 30 July 2022, p. 7197-7205
    • Year: 2022

  6. On Breiman’s Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
    • Author(s): Zhu, Weizhi; Huang, Yifei; Yao, Yuan
    • Source: Annals of Mathematical Sciences and Applications, v. 7, (2), September 2022, p. 221-258
    • Year: 2022

  7. Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction
    • Author(s): Xu, Qianqian; Yang, Zhiyong; Jiang, Yangbangyan; Cao, Xiaochun; Yao, Yuan; Huang, Qingming
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 44, (6), 1 June 2022, article number 9310271, p. 3154-3169
    • Year: 2022

  8. How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning
    • Author(s): Wang, Yikai; Zhang, Li; Yao, Yuan; Fu, Yanwei
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 44, (10), October 2022, article number 9446583, p. 6240-6253
    • Year: 2022

  9. RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics
    • Author(s): Gu, Hanlin; Wang, Wei; Cao, Siqin; Unarta, Ilona Christy; Yao, Yuan; Sheong, Fu Kit; Huang, Xuhui
    • Source: Physical Chemistry Chemical Physics, v. 24, (3), January 2022, p. 1462-1474
    • Year: 2022

  10. On ADMM in Deep Learning: Convergence and Saturation-Avoidance
    • Author(s): Zeng, Jinshan; Lin, Shao-Bo; Yao, Yuan; Zhou, Ding-Xuan
    • Source: Journal of Machine Learning Research, v. 22, 2021, article number 199
    • Year: 2021

  11. Evaluating Visual Properties via Robust HodgeRank
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: International Journal of Computer Vision, v. 129, March 2021, p. 1732-1753
    • Year: 2021

  12. Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
    • Author(s): Ma, Ke; Zeng, Jinshan; Xiong, Jiechao; Xu, Qianqian; Cao, Xiaochun; Liu, Wei; Yao, Yuan
    • Source: IEEE Transactions on Knowledge and Data Engineering, v. 33, (6), June 2021, article number 8918070, p. 2467-2478
    • Year: 2021

  13. Learning the Mapping x↦∑i=1dx2i: the Cost of Finding the Needle in a Haystack
    • Author(s): Zhang, Jiefu; Zepeda‑núñez, Leonardo; Yao, Yuan; Lin, Lin
    • Source: Communications on Applied Mathematics and Computation, v. 3, 2021, p. 313-315
    • Year: 2020

  14. Boosting with Structural Sparsity: A Differential Inclusion Approach
    • Author(s): Huang, Chendi; Sun, Xinwei; Xiong, Jiechao; Yao, Yuan
    • Source: Applied and Computational Harmonic Analysis, v. 48, (1), January 2020, p. 1-45
    • Year: 2020

  15. Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
    • Author(s): Gao, Chao; Yao, Yuan; Zhu, Weizhi
    • Source: Journal of Machine Learning Research, v. 21, 2020, article number 160
    • Year: 2020

  16. Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics
    • Author(s): Zhu, Weizhi; Haung, Yifei; Yao, Yuan
    • Source: Frontiers in Applied Mathematics and Statistics, v. 6, 30 October 2020, article number 575073
    • Year: 2020

  17. On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming
    • Author(s): Zeng, Jinshan; Ma, Ke; Yao, Yuan
    • Source: IEEE Transactions on Signal Processing, v. 67, (16), August 2019, article number 8752037, p. 4261-4275
    • Year: 2019

  18. From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 41, (4), April 2019, article number 8319957, p. 844-856
    • Year: 2019

  19. Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs
    • Author(s): Osting, Braxton; Xiong, Jiechao; Xu, Qianqian; Yao, Yuan
    • Source: Applied and Computational Harmonic Analysis, v. 41, (2), September 2016, p. 540-560
    • Year: 2016

  20. Sparse recovery via differential inclusions
    • Author(s): Osher, Stanley; Ruan, Feng; Xiong, Jiechao; Yao, Yuan; Yin, Wotao
    • Source: Applied and Computational Harmonic Analysis, v. 41, (2), September 2016, p. 436-469
    • Year: 2016

  21. Geometric tight frame based stylometry for art authentication of van Gogh paintings
    • Author(s): Liu, Haixia; Chan, Raymond; Yao, Yuan
    • Source: Applied and Computational Harmonic Analysis, v. 41, (2), September 2016, p. 590-602
    • Year: 2016

  22. Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels
    • Author(s): Fu, Yanwei; Hospedales, Timothy M.; Xiang, Tao; Xiong, Jiechao; Gong, Shaogang; Wang, Yizhou; Yao, Yuan
    • Source: IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 38, (3), March 2016, article number 7159107, p. 563-577
    • Year: 2016

  23. Learning rates of regression with q-norm loss and threshold
    • Author(s): Hu, Ting; Yao, Yuan
    • Source: Analysis and Applications, v. 14, (6), November 2016, p. 809-827
    • Year: 2016

  24. Online learning as stochastic approximation of regularization paths: Optimality and almost-sure convergence
    • Author(s): Tarres, Pierre; Yao, Yuan
    • Source: IEEE Transactions on Information Theory, v. 60, (9), 2014, article number 6842642, p. 5716-5735
    • Year: 2014

  25. Efficacy of fixed filtration for rapid kVp-switching dual energy x-ray systems
    • Author(s): Yao, Yuan; Wang, Adam; Pelc, Norbert J.
    • Source: Medical Physics, v. 41, (3), 2014, article number 031914
    • Year: 2014

  26. Online hodgerank on random graphs for crowdsourceable QoE evaluation
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Huang, Qingming; Yao, Yuan
    • Source: IEEE Transactions on Multimedia, v. 16, (2), February 2014, article number 6675048, p. 373-386
    • Year: 2014

  27. Compressive network analysis
    • Author(s): Jiang, Xiaoye; Yao, Yuan; Liu, Han; Guibas, Leonidas J.
    • Source: IEEE Transactions on Automatic Control, v. 59, (11), November 2014, article number 6883133, p. 2946-2961
    • Year: 2014

  28. The Landscape of Complex Networks: Critical Nodes and A Hierarchical Decomposition
    • Author(s): Weinan, E.; Lu, Jianfeng; Yao, Yuan
    • Source: Methods and Applications of Analysis, v. 20, (4), December 2013, p. 383-404
    • Year: 2013

  29. Property Management in Wireless Sensor Networks with Overcomplete Radon Bases
    • Author(s): Jiang, Xiaoye; Li, Mo; Guibas, Leonidas J.; Yao, Yuan
    • Source: ACM Transactions on Sensor Networks, v. 9, (3), May 2013, article number 36
    • Year: 2013

  30. HodgeRank on random graphs for subjective video quality assessment
    • Author(s): Xu, Qianqian; Huang, Qingming; Jiang, Tingting; Yan, Bowei; Lin, Weisi; Yao, Yuan
    • Source: IEEE Transactions on Multimedia, v. 14, (3), PART 2, 2012, p. 844-857, Article number 6170000
    • Year: 2012

  31. Statistical Ranking and Combinatorial Hodge Theory
    • Author(s): Jiang, Xiaoye; Lim, Lek Heng; Yao, Yuan; Du, Dingzhu
    • Source: Mathematical Programming, v. 127, (1), Issue SI, March 2011, p. 203-244
    • Year: 2011

  32. Cross-validation based adaptation for regularization operators in learning theory
    • Author(s): Caponnetto, Andrea; Yao, Yuan
    • Source: Analysis and Applications, v. 8, (2), 2010, April, p. 161-183
    • Year: 2010

  33. On Complexity Issue of Online Learning Algorithms
    • Author(s): Yao, Yuan
    • Source: IEEE Transactions on Information Theory, v. 56, (12), December 2010, p. 6470-6481, Article number 5625646
    • Year: 2010

  34. Topological Methods for Exploring Low-density States on Biomolecular Folding Pathways
    • Author(s): Yao, Yuan; Sun, Jian; Huang, Xuhui; Bowman, Gregory R.; Singh, Gurjeet; Lesnick, Michael; Guibas, Leonidas J.; Pande, Vijay S.; Carlsson, Gunnar
    • Source: The Journal of Chemical Physics, v. 130, (14), 2009, April, Article number 144115
    • Year: 2009

  35. Structural Insight into RNA Hairpin Folding Intermediates
    • Author(s): Bowman, Gregory R.; Huang, Xuhui; Yao, Yuan; Sun, Jian; Carlsson, Gunnar; Guibas, Leonidas J.; Pande, Vijay S.
    • Source: Journal American Chemistry Society, v. 130, (30), 2008, Jul, p. 9676–9678
    • Year: 2008

  36. On Early Stopping in Gradient Descent Learning
    • Author(s): Yao, Yuan; Rosasco, Lorenzo; Caponnetto, Andrea
    • Source: Constructive Approximation, v. 26, (2), August 2007, p. 289-315
    • Year: 2007

  37. Online Learning Algorithms
    • Author(s): Smale, Steve; Yao, Yuan
    • Source: Foundations of Computational Mathematics, v. 6, (2), April 2006, p. 145-170
    • Year: 2006

  38. Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines
    • Author(s): Yao, Yuan; Marcialis, Gian Luca; Pontil, Massimiliano; Frasconi, Paolo; Roli, Fabio
    • Source: Pattern Recognition, v. 36, (2), February 2003, p. 397-406, article number PII S0031-3203(02)00039-0
    • Year: 2003

  39. Global optimal robust controller design
    • Author(s): Li, Lianfeng; Wang, Guangxiong; Yao, Yuan
    • Source: Kongzhi Lilun Yu Yingyong/Control Theory and Applications, v. 18, (2), April 2001, p. 266
    • Year: 2001

  40. Application of Fuzzy Cellular Neural Networks to Stone Inscription Reconstruction in Chinese Calligraphy
    • Author(s): Yao, Yuan; Wang, Guangxiong; Zhang, Tianwen
    • Source: Journal of Computer Research and Development, v. 36, (3), p.282-286, 1999
    • Year: 1999

  41. On the Application Problem of the Gap Metric for SISO Systems
    • Author(s): Yao, Yuan; Li, Lianfeng; Bao, Gejun
    • Source: Journal of Harbin Institute of Technology, v. 31, (6), p. 19-21, 1999
    • Year: 1999

  42. Morphological reconstruction for color image implemented by cellular neural networks
    • Author(s): Yao, Yuan; Wang, Guangxiong; Zhang, Tianwen
    • Source: Jisuanji Xuebao/Chinese Journal of Computers, v. 22, (7), July 1999, p. 727-732
    • Year: 1999

  43. FEM-Based Modeling in Servo Design
    • Author(s): Yao, Yuan; Luo, Jing
    • Source: Electric Machine and Control, v. 2, (2), p. 108-111, 1998
    • Year: 1998

  Book

  1. A Dynamic Theory of Learning
    • Author(s): Yao, Yuan
    • Year: 2008

  Book chapter

  1. Generative Adversarial Networks for Robust Cryo-EM Image Denoising
    • Author(s): Gu, Hanlin; Xian, Yin; Unarta, Ilona Christy; Yao, Yuan
    • Source: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision / edited by Ke Chen, Carola-Bibiane Schönlieb, Xue-Cheng Tai, Laurent Younes. Cham, Switzerland : Springer, 2023, p. 969-1000, Ch. 26
    • Year: 2023

  2. A Tutorial on Libra : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics
    • Author(s): Xiong, Jiechao; Ruan, Feng; Yao, Yuan
    • Source: Handbook of Big Data Analytics / Editors Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen. Switzerland : Springer, 2018, p. 425-453, Ch. 17. Book series: Springer Handbooks of Computational Statistics, v. 7286
    • Year: 2018

  Conference paper

  1. Inducing Neural Collapse in Deep Long-tailed Learning
    • Author(s): Liu, Xuantong; Zhang, Jianfeng; Hu, Tianyang; Cao, He; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 206, 2023, p. 11534-11544
    • Year: 2023

  2. SurfBind: Surface Distance aided Geometric Deep Learning for Binding Conformations.
    • Author(s): Wu, Jiamin; Zeng, Wenqi; Liu, Song; Yao, Yuan
    • Year: 2023

  3. Adversarial Robustness of Stabilized Neural ODEs Might be from Obfuscated Gradients.
    • Author(s): Huang, Yifei; Yu, Yaodong; Zhang, Hongyang; Ma, Yi; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 145, 2021, p. 497-515
    • Year: 2021

  4. StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
    • Author(s): Zeng, Jinshan; Chen, Qi; Liu, Yunxin; Wang, Mingwen; Yao, Yuan
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (4B), 2021, article number 16438, p. 3270-3277
    • Year: 2021

  5. Deep Partial Rank Aggregation for Personalized Attributes
    • Author(s): Xu, Qianqian; Yang, Zhiyong; Chen, Zuyao; Jiang, Yangbangyan; Cao, Xiaochun; Yao, Yuan; Huang, Qingming
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (1), 2021, article number 16148, p. 678-688
    • Year: 2021

  6. DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
    • Author(s): Fu, Yanwei; Fu, Yanwei; Li, Donghao; Sun, Xinwei; Zeng, Jinshan; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 119, 2020, p. 3315-3326
    • Year: 2020

  7. DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
    • Author(s): Fu, Yanwei; Liu, Chen; Li, Donghao; Sun, Xinwei; Zeng, Jinshan; Yao, Yuan
    • Source: 37th International Conference on Machine Learning, ICML 2020, v. PartF168147-5, July 2020, p. 3273-3284
    • Year: 2020

  8. Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Yang, Zhiyong; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (1), 2020, p. 262-269
    • Year: 2020

  9. Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
    • Author(s): Wu, Bingzhe; Chen, Chaochao; Zhao, Shiwan; Chen,Cen; Yao, Yuan; Sun, Guangyu; Wang, Li; Zhang, Xiaolu; Zhou, Jun
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), 2020, p. 6372-6379
    • Year: 2020

  10. Zero-shot Learning via Recurrent Knowledge Transfer
    • Author(s): Zhao, Bo; Sun, Xinwei; Hong, Xiaopeng; Yao, Yuan; Wang, Yizhou
    • Source: Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, March 2019, article number 8658396, p. 1308-1317
    • Year: 2019

  11. Polyimide-Based Flexible 3-Coil Inductive Link Design and Optimization
    • Author(s): Yao, Yuan; Meng, Xiaodong; Tsui, Chi Ying; Ki, Wing Hung
    • Source: 2018 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2018, 8 January 2019, article number 8605614, p. 505-508
    • Year: 2019

  12. Global Convergence of Block Coordinate Descent in Deep Learning
    • Author(s): Zeng, Jinshan; Lam, Tsz Kit; Lin, Shao Bo; Yao, Yuan
    • Source: 36th International Conference on Machine Learning, ICML 2019, (Part 19), 2019, p. 12685-12711
    • Year: 2019

  13. Deep Robust Subjective Visual Property Prediction in Crowdsourcing
    • Author(s): Xu, Qianqian; Yang, Zhiyong; Jiang, Yangbangyan; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2019, June 2019, article number 8954022, p. 8985-8993
    • Year: 2019

  14. Global Convergence of Block Coordinate Descent in Deep Learning
    • Author(s): Zeng, Jinshan; Lau, Tim Tsz Kit; Lin, Shao Bo; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 97, 2019, p. 7313-7323
    • Year: 2019

  15. iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
    • Author(s): Xu, Qianqian; Sun, Xinwei; Yang, Zhiyong; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: Advances in Neural Information Processing Systems, v. 32, 2019
    • Year: 2019

  16. Robust Estimation And Generative Adversarial Networks
    • Author(s): Gao, Chao; Liu, Jiyi; Yao, Yuan; Zhu, Weizhi
    • Source: 7th International Conference on Learning Representations, ICLR 2019, 2019
    • Year: 2019

  17. DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
    • Author(s): Fu, Yanwei; Liu, Chen; Li, Donghao; Sun, Xinwei; Zeng, Jinshan; Yao, Yuan
    • Year: 2019

  18. A unified dynamic approach to sparse model selection
    • Author(s): Huang, Chendi; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 84, 2018, p. 2047-2055
    • Year: 2018

  19. MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
    • Author(s): Zhao, Bo; Sun, Xinwei; Fu, Yanwei; Yao, Yuan; Wang, Yizhou
    • Source: Proceedings of Machine Learning Research, v. 80, July 2018, p. 5912-5921
    • Year: 2018

  20. A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
    • Author(s): Lau, Tsz Kit; Zeng, Jinshan; Wu, Baoyuan; Yao, Yuan
    • Source: 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings, 2018
    • Year: 2018

  21. A Margin-based MLE for Crowdsourced Partial Ranking
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Sun, Xinwei; Yang, Zhiyong; Cao, Xiaochun; Huang, Qingming; Yao, Yuan
    • Source: MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, October 2018, p. 591-599
    • Year: 2018

  22. MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
    • Author(s): Zhao, Bo; Sun, Xinwei; Fu, Yanwei; Yao, Yuan; Wang, Yizhou
    • Source: 35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9421-9432
    • Year: 2018

  23. Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
    • Author(s): Zeng, Jinshan; Ma, ke; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 84, 2018, p. 199-207
    • Year: 2018

  24. Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
    • Author(s): Ma, Ke; Zeng, Jinshan; Xiong, Jiechao; Xu, Qianqian; Cao, Xiaochun; Liu, Wei; Yao, Yuan
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 32, (1), 2018, article number 11599, p. 3738-3745
    • Year: 2018

  25. HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Chen, Xi; Huang, Qingming; Yao, Yuan
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 32, (1), 2018, article number 11619, p. 4326-4334
    • Year: 2018

  26. FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
    • Author(s): Sun, Xinwei; Hu, Lingjing; Zhang, Fandong; Yao, Yuan; Wang, Yizhou
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11070 LNCS, 2018, p. 611-619
    • Year: 2018

  27. Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics
    • Author(s): Lau, tsz kit; Yao, Yuan
    • Year: 2017

  28. GSplit LBI:: Taming the Procedural Bias in Neuroimaging for Disease Prediction
    • Author(s): Sun, Xinwei; Hu, Lingjing; Yao, Yuan; Wang, Yizhou
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10435, 2017, p. 107-115
    • Year: 2017

  29. Exploring Outliers in Crowdsourced Ranking for QoE
    • Author(s): Xu, Qianqian; Yan, Ming; Huang, Chendi; Xiong, Jiechao; Huang, Qingming; Yao, Yuan
    • Source: MM 2017 - Proceedings of the 2017 ACM Multimedia Conference, 23-27 October 2017, p. 1540-1548
    • Year: 2017

  30. False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Yao, Yuan
    • Source: 33rd International Conference on Machine Learning, ICML 2016, v. 3, 2016, p. 1947-1956
    • Year: 2016

  31. Split LBI: An Iterative Regularization Path with Structural Sparsity
    • Author(s): Huang, Chendi; Sun, Xinwei; Xiong, Jiechao; Yao, Yuan
    • Source: Advances in Neural Information Processing Systems, 2016, p. 3377-3385
    • Year: 2016

  32. False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Yao, Yuan
    • Source: Proceedings of Machine Learning Research, v. 48, 2016, p. 1282-1291
    • Year: 2016

  33. Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Yao, Yuan
    • Source: MM '16: Proceedings of the 24th ACM international conference on Multimedia, October 2016, p. 841-850
    • Year: 2016

  34. A Dynamic Approach to Variable Selection in High Dimensional Statistics – with R package Libra
    • Author(s): Yao, Yuan
    • Year: 2015

  35. Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications
    • Author(s): Wang, Qing; Zhu, Hengshu; Hu, Wei; Shen, Zhiyong; Yao, Yuan
    • Source: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA : ACM, 2015, p. 2197-2206
    • Year: 2015

  36. Interestingness Prediction by Robust Learning to Rank
    • Author(s): Fu, Yanwei; Hospedales, Timothy M.; Xiang, Tao; Gong, Shaogang; Yao, Yuan
    • Source: Computer Vision – ECCV 2014, Edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars. Switzerland : Springer International Publishing, 2014, p. 488-503, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8690)
    • Year: 2014

  37. Hodge Theory and Applications in Data Analysis
    • Author(s): Yao, Yuan
    • Year: 2013

  38. On Early Stopping and Path Consistency of Bregman Iteration
    • Author(s): Yao, Yuan
    • Year: 2013

  39. Robust Evaluation for Quality of Experience in Crowdsourcing
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Huang, Qingming; Yao, Yuan
    • Source: Proceedings of the 21st ACM international conference on Multimedia, New York, NY, USA : ACM, 2013, p. 43-52
    • Year: 2013

  40. Robust Ranking with Hodge Decomposition
    • Author(s): Yao, Yuan
    • Year: 2013

  41. Liver Imaging: Image Quality Evaluation and Comparison between Single and Dual Energy Protocols
    • Author(s): Yao, Yuan; Megibow, Alec Jeffrey; Pelc, Norbert J.
    • Source: SPIE Proceedings, v. 8668, March 2013
    • Year: 2013

  42. Detecting Network Cliques with Radon Basis Pursuit
    • Author(s): Jiang, Xiaoye; Yao, Yuan; Liu, Han; Guibas, Leonidas J.
    • Source: Proceedings of Machine Learning Research, v. 22, 2012, p. 565-573
    • Year: 2012

  43. Efficacy of fixed filtration for rapid kVp-switching dual energy X-ray systems: Experimental verification
    • Author(s): Yao, Yuan; Wang, Adam; Pelc, Norbert J.
    • Source: Progress in Biomedical Optics and Imaging - Proceedings of SPIE, v. 8313, 2012, Article number 83131F
    • Year: 2012

  44. Phylogenetic Trees via Algebraic Invariants
    • Author(s): Yao, Yuan
    • Source: Conference in Evolutionary Linguistics, Beijing China, Nov 10, 2012
    • Year: 2012

  45. Phase transitions in robust ranking
    • Author(s): Cheng, Xiuyuan; Xiong, Jiechao; Yao, Yuan
    • Year: 2012

  46. Online crowdsourcing subjective image quality assessment
    • Author(s): Xu, Qianqian; Huang, Qingming; Yao, Yuan
    • Source: MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia, 2012, p. 359-368
    • Year: 2012

  47. Random partial paired comparison for subjective video quality assessment via hodgerank
    • Author(s): Xu, Qianqian; Jiang, Tingting; Yao, Yuan; Huang, Qingming; Yan, Bowei; Lin, Weisi
    • Source: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, 2011, p. 393-402
    • Year: 2011

  48. Simulating human saccadic scanpaths on natural images
    • Author(s): Wang, Wei; Chen, Cheng; Wang, Yizhou; Jiang, Tingting; Fang, Fang; Yao, Yuan
    • Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, Article number 5995423, p.441-448
    • Year: 2011

  49. HodgeRank on Random Graphs
    • Author(s): Yao, Yuan
    • Year: 2011

  50. Progress in Geometric and Topological Data Analysis
    • Author(s): Yao, Yuan
    • Year: 2011

  51. Overcomplete Radon Bases for Target Property Management in Sensor Networks
    • Author(s): Jiang, Xiaoye; Li, Mo; Yao, Yuan; Guibas, Leonidas J.
    • Source: Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11 / IEEE. Piscataway, NJ : IEEE, 2011, p. 25-36, Article number 5779062
    • Year: 2011

  52. Combinatorial Hodge Theory and Statistical Ranking
    • Author(s): Yao, Yuan
    • Source: The 2nd Pao-lu Hsu Conference on Machine Learning, Xi’an, China, June, 2010
    • Year: 2010

  53. Hodge Decomposition of Paired Comparison Flows in Click-through Data
    • Author(s): Ji, Zhanglong; An, Yang; Chen, Ying; Yao, Yuan; Xu, Jun; Li, Hang
    • Year: 2010

  54. Constructing Multi-Resolution Markov State Models (MSMS) to Elucidate RNA Hairpin Folding Mechanisms
    • Author(s): Huang, Xuhui; Yao, Yuan; Bowman, Gregory R.; Sun, Jian; Guibas, Leonidas J.; Carlsson, Gunnar; Pande, Vijay S.
    • Source: Pacific Symposium on Biocomputing 2010, PSB 2010, 2010, p. 228-239
    • Year: 2010

  55. Topology Learning of High Dimensional Probability Density Functions
    • Author(s): Yao, Yuan
    • Source: The 1st International Congress of IPIA, Conference on Applied Inverse Problems, minisymposium: Learning from Examples as an Inverse Problem, PIMS, University of British Columbia, Vancouver, Canada, June 25-29, 2007.
    • Year: 2007

  56. Combinatorial Laplacians and Rank Aggregation
    • Author(s): Yao, Yuan
    • Source: The 6th International Congress of Industrial and Applied Mathematics (ICIAM), minisymposium: Novel Matrix Methods for Internet Data Mining, Zurich, Switzerland, 2007, 16-20 July
    • Year: 2007

  57. Mercer’s Theorem, Feature Maps, and Smoothing
    • Author(s): Minh, Ha Quang; Niyogi, Partha; Yao, Yuan
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 4005 LNAI, 2006, p. 68-154
    • Year: 2006

  58. Fingerprint Classification with Combinations of Support Vector Machines
    • Author(s): Yao, Yuan; Frasconi, Paolo; Pontil, Massimiliano
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2091 LNCS, 2001, p. 253-258
    • Year: 2001

  59. A New Machine Learning Approach to Fingerprint Classification
    • Author(s): Yao, Yuan; Marcialis, Gian Luca; Pontil, Massimiliano; Frasconi, Paolo; Roli, Fabio
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 2175, 2001, p. 57-63
    • Year: 2001

  60. Identifying Noise Model in Closed-Loop Using Subspace Method
    • Author(s): Wang, Jingbo; Jiya, Jibril; Liu, Xiaoping; Yao, Yuan; Wang, Guangxiong; Xu, Shijie
    • Source: IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257), v. 1, 1999
    • Year: 1999

  61. Robust Gain-scheduled H_infinity control with Constant Diagonal Scaling
    • Author(s): Yao, Yuan; Wang, Jingbo; Li, Lianfeng; Wang, Guangxiong
    • Source: Proceedings of IEEE Hong Kong Symposium on Robotics and Control, 1999, p. 628-632
    • Year: 1999

  62. Multiscale Morphology for Color Images Implemented by Fuzzy Cellular Neural Network
    • Author(s): Yao, Yuan; Zhang, Xiaofeng; Zhang, Tianwen; Wang, Guangxiong
    • Source: Proceedings of IEEE Hong Kong Symposium on Robotics and Control, 1999, p. 459-462
    • Year: 1999

  63. Application of Quadratic Stabilization, Constantly Scaled H∞ control and µ-Synthesis
    • Author(s): Wang, Xiaofeng; Yao, Yuan; Wang, Jingbo; Wang, Guangxiong
    • Source: IEEE Hong Kong Symposium on Robotics and Control, Hong Kong, 1999, July, p. 633-637
    • Year: 1997