Yuan (Alan) Qi

52 papers A* 8A 7C 3Misc 2Journal 16Unranked 16
YearRankTypeTitle / Venue / Authors
2019 J jnl
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol.
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
2019 — conf
RNE: A Scalable Network Embedding for Billion-Scale Recommendation.
PAKDD (2)
Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
2019 J jnl
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
CoRR
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
2018 — conf
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.
IEEE BigData
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi
2017 A* conf
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
KDD
Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi
2017 A* conf
POSTER: Actively Detecting Implicit Fraudulent Transactions.
CCS
Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao
2016 A conf
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes.
UAI
Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao
2015 J jnl
Bayesian Nonparametric Models for Multiway Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2015 A conf
Scalable Nonparametric Multiway Data Analysis.
AISTATS
Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park
2013 J jnl
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties.
IEEE Trans. Knowl. Data Eng.
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan, Yuan (Alan) Qi
2012 J jnl
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes
CoRR
Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa
2012 A* conf
Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes.
ICML
Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa
2012 J jnl
EigenGP: Gaussian processes with sparse data-dependent eigenfunctions
CoRR
Yuan (Alan) Qi, Bo Dai, Yao Zhu
2012 A* conf
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.
ICML
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2012 A* conf
Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings.
ICDM
Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa
2012 J jnl
Sparse matrix-variate Gaussian process blockmodels for network modeling
CoRR
Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2012 J jnl
Sparse-posterior Gaussian Processes for general likelihoods
CoRR
Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka
2012 J jnl
Virtual Vector Machine for Bayesian Online Classification
CoRR
Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi
2011 J jnl
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning
CoRR
Yuan (Alan) Qi, Feng Yan
2011 — conf
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning.
NIPS
Yuan (Alan) Qi, Feng Yan
2011 — conf
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
MBIA
Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin
2011 J jnl
InfTucker: t-Process based Infinite Tensor Decomposition
CoRR
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011 A* conf
Sparse Matrix-Variate t Process Blockmodels.
AAAI
Zenglin Xu, Feng Yan, Yuan (Alan) Qi
2011 A conf
Sparse matrix-variate Gaussian process blockmodels for network modeling.
UAI
Feng Yan, Zenglin Xu, Yuan (Alan) Qi
2011 — conf
t-divergence Based Approximate Inference.
NIPS
Nan Ding, S. V. N. Vishwanathan, Yuan (Alan) Qi
2010 J jnl
Cooperative Autonomous Online Learning
CoRR
Feng Yan, S. V. N. Vishwanathan, Yuan (Alan) Qi
2010 C conf
Identifying Rare Cell Populations in Comparative Flow Cytometry.
WABI
Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen
2010 C conf
Mining roles with noisy data.
SACMAT
Ian M. Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo, Luke Dickens
2010 A conf
Nonparametric Bayesian Matrix Factorization by Power-EP.
AISTATS
Nan Ding, Yuan (Alan) Qi, Rongjing Xiang, Ian M. Molloy, Ninghui Li
2010 — conf
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction.
MICCAI (3)
Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin
2010 A* conf
Sparse Gaussian Process Regression via L1 Penalization.
ICML
Feng Yan, Yuan (Alan) Qi
2010 A conf
Sparse-posterior Gaussian Processes for general likelihoods.
UAI
Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka
2010 J jnl
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model.
EURASIP J. Adv. Signal Process.
Jia Meng, Jianqiu (Michelle) Zhang, Yuan (Alan) Qi, Yidong Chen, Yufei Huang
2009 C ed.
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009
ICMLA
M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi
2009 — conf
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units.
NIPS
Feng Yan, Ningyi Xu, Yuan (Alan) Qi
2009 J jnl
Variable sigma Gaussian processes: An expectation propagation perspective
CoRR
Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka
2009 A conf
Virtual Vector Machine for Bayesian Online Classification.
UAI
Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi
2007 J jnl
Window-based expectation propagation for adaptive signal detection in flat-fading channels.
IEEE Trans. Wirel. Commun.
Yuan (Alan) Qi, Thomas P. Minka
2006 J jnl
Modularity and Dynamics of Cellular Networks.
PLoS Comput. Biol.
Yuan (Alan) Qi, Hui Ge
2006 — conf
Parameter Expanded Variational Bayesian Methods.
NIPS
Yuan (Alan) Qi, Tommi S. Jaakkola
2006 — conf
Semi-supervised analysis of gene expression profiles for lineage-specific development in the
ISMB (Supplement of Bioinformatics)
Yuan (Alan) Qi, Patrycja E. Missiuro, Ashish Kapoor, Craig P. Hunter, Tommi S. Jaakkola, David K. Gifford, Hui Ge
2005 A conf
Bayesian Conditional Random Fields.
AISTATS
Yuan (Alan) Qi, Martin Szummer, Tom Minka
2005 — conf
Diagram Structure Recognition by Bayesian Conditional Random Fields.
CVPR (2)
Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka
2005 — conf
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification.
NIPS
Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind W. Picard
2005 — conf
Symbol detection with time-varying unknown phase by expectation propagation.
ICASSP (3)
Tao Wei, Yufei Huang, Yuan (Alan) Qi
2004 — conf
Contextual recognition of hand-drawn diagrams with conditional random fields.
IWFHR
Martin Szummer, Yuan (Alan) Qi
2004 A* conf
Predictive automatic relevance determination by expectation propagation.
ICML
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani
2003 — conf
Fully Automatic Upper Facial Action Recognition.
AMFG
Ashish Kapoor, Yuan (Alan) Qi, Rosalind W. Picard
2003 — conf
Tree-structured Approximations by Expectation Propagation.
NIPS
Thomas P. Minka, Yuan (Alan) Qi
2002 Misc conf
Bayesian spectrum estimation of unevenly sampled nonstationary data.
ICASSP
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard
2002 — conf
Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification.
ICPR (3)
Yuan (Alan) Qi, Rosalind W. Picard
2001 Misc conf
Hybrid independent component analysis and support vector machine learning scheme for face detection.
ICASSP
Yuan (Alan) Qi, David S. Doermann, Daniel DeMenthon