Department of Mathematics, HKUST  

  YAO, Yuan   姚 遠

  PhD University of California at Berkeley

Office: Room 3430  

Telephone: 7461  

Email: yuany@ust.hk  

URL:
https://www.math.hkust.edu.hk/~yuany   
  Associate Professor

Teaching

  • MATH4995  Capstone Project for Data Science

Research Interests

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

       Selected Publications

Full Publication List [HKUST Scholarly Publications]  

Article   

  1. 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

  2. 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, 3 June 2021
    • Year: 2021

  3. 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

  4. 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 1
    • Year: 2020

  5. 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

  6. 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

  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, 29 December 2020
    • Year: 2020

  8. 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

  9. 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

  10. 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

  11. End-point Sampling
    • Author(s): Yao, Yuan; Yu, Wen; Chen, Kani
    • Source: Statistica Sinica. , v. 27, (1), January 2017, p. 415-435
    • Year: 2017

  12. 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

  13. 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

  14. 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

  15. 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

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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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), p. 383-404, 2013
    • Year: 2013

  22. Hierarchical Nystrom methods for constructing Markov state models for conformational dynamics
    • Author(s): Yao, Yuan; Cui, Raymond Z.; Bowman, Gregory R.; Silva, Daniel-Adriano; Sun, Jian; Huang, Xuhui
    • Source: Journal of Chemical Physics. , v. 138, (17), May 2013, article number 174106
    • Year: 2013

  23. 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 2480739
    • Year: 2013

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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
    • Source: A Dynamic Theory of Learning. , Yao, Yuan. Verlag Dr. Muller, 2008
    • Year: 2008

Book chapter   

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

  2. Adversarial Robustness of Stabilized Neural ODEs Might be from Obfuscated Gradients.
    • Author(s): Huang, Yifei; Yu, Yaodong; Zhang, Hongyang; Ma, Yi; Yao, Yuan
    • Source: , MSML21: Mathematical and Scientific Machine Learning, Virtual; Lausanne, Switzerland, 16 - 19 August 2021
    • Year: 2021

  3. Deep Partial Rank Aggregation for Personalized Attribute
    • Author(s): Xu, qianqian; Yao, Yuan; Huang, Qingming
    • Source: , 35th AAAI Conference on Artificial Intelligence, AAAI-2021, Vancouver, Canada (Online), 2-9 February 2021
    • Year: 2021

  4. StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
    • Author(s): Zeng, Jinshan; Chen, Qi; Yao, Yuan
    • Source: , 35th AAAI Conference on Artificial Intelligence, AAAI-2021, Vancouver, Canada (Online), 2-9 February 2021
    • Year: 2021

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

  6. Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings
    • Author(s): Xu, Qianqian; Yao, Yuan
    • Source: Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (1), April 2020, p. 262-269
    • Year: 2020

  7. DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
    • Author(s): Fu, Yanwei; Li, Donghao; Yao, Yuan
    • Source: , 37th International Conference on Machine Learning, ICML 2020, Vienna, Austria (Online), 12-18 July 2020
    • Year: 2020

  8. Global convergence of block coordinate descent in deep learning
    • Author(s): Zeng, Jinshan ; Lau, Tim Tsz Kit; Lin, Shao Bo; Yao, Yuan
    • Source: 36th International Conference on Machine Learning, ICML 2019, v. 2019, June 2019, p. 12685-12711
    • Year: 2019

  9. 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

  10. 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: , Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019, Vancuver, Canada, 8-14 December 2019
    • Year: 2019

  11. Robust Estimation And Generative Adversarial Networks
    • Author(s): Gao, Chao; Liu, Jiyi; Yao, Yuan ; Zhu, Weizhi
    • Source: International Conference on Learning Representations 2019, Ernest N. Morial Convention Center, New Orleans, 6 - 9 May 2019
    • Year: 2019

  12. 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

  13. Data-driven tight frame for Cryo-EM image denoising and conformational classification
    • Author(s): Xian, Yin ; Gu, Hanlin ; Wang, Wei CHEM; Huang, Xuhui CHEM; Yao, Yuan ; Wang, Yang ; Cai, Jianfeng
    • Source: 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, February 2019, article number 8646614, p. 544-548
    • Year: 2019

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

  15. A proximal block coordinate descent algorithm for deep neural network training
    • Author(s): Lau, Tim Tsz Kit ; Zeng, Jinshan; Wu, Baoyuan; Yao, Yuan
    • Source: 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings, 2018
    • Year: 2018

  16. A unified dynamic approach to sparse model selection
    • Author(s): Huang, Chendi; Yao, Yuan
    • Source: International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 2018, p. 2047-2055
    • Year: 2018

  17. 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, 15 October 2018, p. 591-599
    • Year: 2018

  18. 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

  19. 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: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, 2-7 February 2018
    • Year: 2018

  20. HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation
    • Author(s): Xu, qianqian; Xiong, jiechao; Chen, xi; Huang, qingming; Yao, Yuan
    • Source: The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, 2-7 February 2018
    • Year: 2018

  21. Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
    • Author(s): Zeng, jinshan ; Ma, ke; Yao, Yuan
    • Source: The 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Lanzarote, Canary Islands, 9-11 April 2018
    • Year: 2018

  22. 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

  23. Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics
    • Author(s): Lau, tsz kit ; Yao, Yuan
    • Source: The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017): The 10th NIPS Workshop on Optimization for Machine Learning (OPT2017), Long Beach, California, USA, 4-9 December 2017
    • Year: 2017

  24. 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. , v. 10435, 2017, p. 107-115
    • Year: 2017

  25. 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. , October 2017, p. 1540-1548
    • Year: 2017

  26. 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

  27. 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

  28. Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Cao, Xiaochun; Yao, Yuan
    • Source: Proceedings of the 2016 ACM on Multimedia Conference. , 2016, p. 841-850
    • Year: 2016

  29. 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 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. , v. 2015-August, 2015, Aug, p. 2197-2206
    • Year: 2015

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

  31. Interestingness prediction by robust learning to rank
    • Author(s): Fu, Yanwei; Hospedales, Timothy M.; Xiang, Tao; Gong, Shaogang; Yao, Yuan
    • Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). , v. 8690 LNCS, Issue Part 2, p. 488-503, 2014
    • Year: 2014

  32. Robust evaluation for quality of experience in crowdsourcing
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Huang, Qingming; Yao, Yuan
    • Source: MM 2013 - Proceedings of the 2013 ACM Multimedia Conference. , p. 43-52, 2013
    • Year: 2013

  33. On Early Stopping and Path Consistency of Bregman Iteration
    • Author(s): Yao, Yuan
    • Source: International Conference on Learning Theory, Shaoxing, China. , 2013 13 Sep
    • Year: 2013

  34. Hodge Theory and Applications in Data Analysis
    • Author(s): Yao, Yuan
    • Source: SIAM Conference on Applied Algebraic Geometry, Colorado State University. , 2013, 1 Aug
    • Year: 2013

  35. Robust Ranking with Hodge Decomposition
    • Author(s): Yao, Yuan
    • Source: International Conference on Approximation Theory and Applications, Hong Kong. , May 27, 2013
    • Year: 2013

  36. Liver imaging: Image quality evaluation and comparison between single and dual energy protocols
    • Author(s): Yao, Yuan; Megibow, Alec Jeffrey; Pelc, Norbert J.
    • Source: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. , v. 8668, 2013, 86681V
    • Year: 2013

  37. 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

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

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

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

  41. 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

  42. 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

  43. 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

  44. 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. , 2011, Article number 5779062, p. 25-36
    • Year: 2011

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

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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

Preprint   

  1. A Tutorial on Libra: R package for the Linearized Bregman Algorithm in high dimensional statistics
    • Author(s): Xiong, Jiechao; Ruan, Feng; Yao, Yuan
    • Source: arXiv, Apr 2016, Article number 1604.05910
    • Year: 2016

  2. Mixed and missing data: a unified treatment with latent graphical models
    • Author(s): Li, Xiao; Jia, Jinzhu; Yao, Yuan
    • Source: arXiv, 2015, November, Article number 1511.04656
    • Year: 2015

  3. Robust Statistical Ranking: Theory and Algorithms
    • Author(s): Xu, Qianqian; Xiong, Jiechao; Huang, Qingming; Yao, Yuan
    • Source: arXiv, 2014, August, Article number 1408.3467
    • Year: 2014

  4. Fast Adaptive Algorithm for Robust Evaluation of Quality of Experience
    • Author(s): Xu, Qianqian; Yan, Ming; Yao, Yuan
    • Source: arXiv, 2014, Article number 1407.7636
    • Year: 2014

Presentation   

  1. Libra: a new R package for Linearized Bregman Algorithms in High Dimensional Statistics
    • Author(s): Yao, Yuan
    • Source: , Keynote speech at China R-language Conference, Shanghai, Nov 21 - 22, 2015
    • Year: 2015

  2. New Methods in Learning Graphical Models with Applications in Immunology
    • Author(s): Yao, Yuan
    • Source: , HKUST & MIT Bioengineering seminar, Oct 26, 2015.
    • Year: 2015

  3. A Dynamic Approach to Variable Selection and Sparse Recovery
    • Author(s): Yao, Yuan
    • Source: , Mathematical and Computational Foundations of Learning Theory, Dagstuhl, Germany, Aug 30 - Sep 4, 2015
    • Year: 2015

  4. Critical Points of Networks
    • Author(s): Yao, Yuan
    • Source: , ICIAM Minisymposium on Computational Social Sciences, Beijing, Aug 10-14, 2015
    • Year: 2015

  5. Social Choice Theory and Hodge Decomposition
    • Author(s): Yao, Yuan
    • Source: , ICIAM Minisymposium on Topological Data Analysis and Dynamics, Beijing, Aug 10-14, 2015
    • Year: 2015

  6. A Dynamic Approach to Sparse Recovery
    • Author(s): Yao, Yuan
    • Source: , ICIAM Minisymposium on Numerical Linear Algebra Techniques in Massive Data Analysis, Beijing, Aug 10-14, 2015
    • Year: 2015

  7. Possible from impossibilities – Social Choice Theory and Hodge Decomposition
    • Author(s): Yao, Yuan
    • Source: , LIDS seminar, MIT, July 24, 2015
    • Year: 2015

  8. Social Choice Theory and Hodge Decomposition
    • Author(s): Yao, Yuan
    • Source: , IPAM, University of California at Los Angeles, February 24, 2015
    • Year: 2015

  9. Geometric and Topological Methods in Data Analysis
    • Author(s): Yao, Yuan
    • Source: , University of California at San Diego, February 19, 2015
    • Year: 2015

  10. Applied Hodge Theory in Data Analysis
    • Author(s): Yao, Yuan
    • Source: , Keynote speech at the workshop of Statistics and Computational Interface to Big Data, Institute of Advanced Studies, HKUST, January 4-16, 2015
    • Year: 2015

  11. A Dynamic Approach to Variable Selection and Sparse Recovery
    • Author(s): Yao, Yuan
    • Source: , Tsinghua International Mathematical Forum, Sanya, China, December 29, 2014
    • Year: 2014

  12. Applied Hodge Theory
    • Author(s): Yao, Yuan
    • Source: , Simons Institute Workshop on Spectral Algorithms: From Theory to Applications, University of California at Berkeley, October 23-30, 2014
    • Year: 2014

  13. Applied Hodge Theory: from Statistical Ranking to Game Theory
    • Author(s): Yao, Yuan
    • Source: , NIMS Workshop on AlgebraicStatistics, Daejeon, Korea, July 14-17, 2014
    • Year: 2014

  14. Critical Points and Hierarchical Decomposition of Complex Networks
    • Author(s): Yao, Yuan
    • Source: , HKUST Jockey Club Institute for Advanced Studies, May 15, 2014
    • Year: 2014

  15. Consistency of Early Stopping Regularization in Linearized Bregman Algorithms
    • Author(s): Yao, Yuan
    • Source: , SIAM Conference on Imaging Science, Hong Kong, May 14, 2014
    • Year: 2014

  16. On Statistical Consistency of Early Stopping Regularization in Bregman Iterative Algorithms
    • Author(s): Yao, Yuan
    • Source: , ICSA, Hong Kong, Dec 22, 2013
    • Year: 2013

  17. Ranking in Crowdsourcing and Hodge Decomposition
    • Author(s): Yao, Yuan
    • Source: , MIT, Apr 24, 2013
    • Year: 2013

  18. The Landscape of Complex Networks: A Topological Approach
    • Author(s): Yao, Yuan
    • Source: , Yale University, Apr 19, 2013
    • Year: 2013

  19. Topological Landscape of Complex Networks: Critical Nodes and Hierarchical Decomposition
    • Author(s): Yao, Yuan
    • Source: INRIA, Saclay, France, Jan 22, 2013
    • Year: 2013

  20. From Graphs to Complexes? A Topological & Geometric Perspective to Data Analysis
    • Author(s): Yao, Yuan
    • Source: Forum on Data Science and Information Technology, BICMR, Beijing China, Nov 19, 2012.
    • Year: 2012

  21. Learning Theory and Approximation
    • Author(s): Yao, Yuan
    • Source: Oberwolfach, German, Jun 24-30, 2012
    • Year: 2012

  22. Challenges of Data Analysis in Biomolecular Dynamics
    • Author(s): Yao, Yuan
    • Source: Courant Institute, New York University, Apr 5, 2012
    • Year: 2012

  23. Topological Landscape of Complex Networks
    • Author(s): Yao, Yuan
    • Source: PACM Princeton University, Mar 5, 2012
    • Year: 2012

  24. Combinatorial Hodge Theory and Applications
    • Author(s): Yao, Yuan
    • Source: Toyota Technological Institute at University of Chicago, Feb 20, 2012
    • Year: 2012

  25. A Geometric Approach to Social Choice: Combinatorial Hodge Theory
    • Author(s): Yao, Yuan
    • Source: Perspective in Mathematics, Beijing International Center for Mathematical Researches (BICMR), Beijing, China, Oct 17-19, 2011
    • Year: 2011

  26. A Geometric Approach to Social Choice: Combinatorial Hodge Theory
    • Author(s): Yao, Yuan
    • Source: Fields Institute, Canada, September 22, 2011
    • Year: 2011

  27. Landscape of Networks
    • Author(s): Yao, Yuan
    • Year: 2011

  28. Geometric and Topological Methods for Data Science
    • Author(s): Yao, Yuan
    • Year: 2011

  29. Geometric and Topological Methods for Data Science
    • Author(s): Yao, Yuan
    • Year: 2011

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

  31. Mathematics of Data
    • Author(s): Yao, Yuan
    • Year: 2011

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

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

  34. Hodge Theory and Statistical Ranking
    • Author(s): Yao, Yuan
    • Year: 2010

  35. Hodge Decomposition of Pairwise Comparison Flows in Click Data
    • Author(s): Yao, Yuan
    • Year: 2010

  36. Combinatorial Hodge Theory and Statistical Ranking
    • Author(s): Yao, Yuan
    • Year: 2010

  37. Statistical Ranking Problem and Hodge Decomposition of Network Flows
    • Author(s): Yao, Yuan
    • Year: 2009

  38. Perspectives on Topological and Geometric Methods for High Dimensional Data Analysis
    • Author(s): Yao, Yuan
    • Year: 2009

  39. Perspectives on Topological and Geometric Methods for High Dimensional Data Analysis
    • Author(s): Yao, Yuan
    • Year: 2009

  40. Perspectives on Topological and Geometric Methods for High Dimensional Data Analysis
    • Author(s): Yao, Yuan
    • Year: 2009

  41. Topological Methods for Exploring Low-density States in RNA-hairpin Folding
    • Author(s): Yao, Yuan
    • Year: 2009

  42. Topological Methods for Exploring Biomolecular Folding Pathways
    • Author(s): Yao, Yuan; Sun, Jian; Huang, Xuhui; Pande, Vijay S.; Guibas, Leonidas J.; Carlsson, Gunnar
    • Year: 2008

  43. A Well-controlled Fast Clustering Method on Conformation Space of Biomolecules
    • Author(s): Bowman, Gregory R.; Huang, Xuhui; Yao, Yuan; Sun, Jian; Pande, Vijay S.
    • Source: Biomedical Computation at Stanford (BCATS), poster presentation, Stanford, CA. , 2008, October
    • Year: 2008

  44. Adaptive Seeding: A New Method for Simulating Biologically Relevant Timescales
    • Author(s): Bowman, Gregory R.; Huang, Xuhui; Yao, Yuan; Sun, Jian; Pande, Vijay S.
    • Year: 2008

  45. Combinatorial Hodge Theory and A Geometric Approach to Ranking
    • Author(s): Yao, Yuan; Lim, Lek Heng
    • Source: SIAM Annual Meeting, minisymposium: Mathematical Methods in Data Mining, San Diego. , July 7-11, 2008
    • Year: 2008

  46. Perspectives on Topological and Geometric Methods for Statistics
    • Author(s): Yao, Yuan
    • Year: 2008

  47. Topological Methods for Exploring Low-density States in Biomolecular Folding Pathways
    • Author(s): Yao, Yuan
    • Year: 2008

  48. Hodge Decomposition, Spectral Embedding, and the Netflix Dataset
    • Author(s): Yao, Yuan
    • Year: 2008

  49. Equilibria in neuroadaptive pathways
    • Author(s): Scheler, G.; Yao, Yuan
    • Source: RECOMB Systems Biology, poster presentation, La Jolla, CA. , 2007, December
    • Year: 2007

  50. Hodge Theory and Rank Aggregation
    • Author(s): Yao, Yuan
    • Year: 2007

  51. Metric Learning for Phylogenetic Invariants
    • Author(s): Yao, Yuan
    • Year: 2007

  52. Combinatorial Hodge Theory and Societal Rank Aggregation
    • Author(s): Yao, Yuan
    • Year: 2007

  53. Optimal Robust Performance in Constantly Scaled H_infinity control
    • Author(s): Yao, Yuan; Wang, Jingbo; Li, Lianfeng; Wang, Guangxiong
    • Year: 1999