| 2019 | PAKDD | RNE: A Scalable Network Embedding for Billion-Scale Recommendation. | Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi |
| 2017 | CCS | POSTER: Actively Detecting Implicit Fraudulent Transactions. | Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao |
| 2017 | KDD | KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. | Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi |
| 2016 | UAI | Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. | Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao |
| 2015 | AISTATS | Scalable Nonparametric Multiway Data Analysis. | Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park |
| 2012 | ICDM | Self-Adjusting Models for Semi-supervised Learning in Partially Observed Settings. | Ferit Akova, Murat Dundar, Yuan (Alan) Qi, Bartek Rajwa |
| 2012 | ICML | Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. | Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa |
| 2012 | ICML | Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis. | Zenglin Xu, Feng Yan, Yuan (Alan) Qi |
| 2011 | AAAI | Sparse Matrix-Variate t Process Blockmodels. | Zenglin Xu, Feng Yan, Yuan (Alan) Qi |
| 2011 | MICCAI | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. | 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 | UAI | Sparse matrix-variate Gaussian process blockmodels for network modeling. | Feng Yan, Zenglin Xu, Yuan (Alan) Qi |
| 2010 | ICML | Sparse Gaussian Process Regression via L1 Penalization. | Feng Yan, Yuan (Alan) Qi |
| 2010 | MICCAI | Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. | Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin |
| 2010 | UAI | Sparse-posterior Gaussian Processes for general likelihoods. | Yuan (Alan) Qi, Ahmed H. Abdel-Gawad, Thomas P. Minka |
| 2010 | SACMAT | Mining roles with noisy data. | Ian M. Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo, Luke Dickens |
| 2010 | WABI | Identifying Rare Cell Populations in Comparative Flow Cytometry. | Ariful Azad, Johannes Langguth, Youhan Fang, Yuan (Alan) Qi, Alex Pothen |
| 2009 | UAI | Virtual Vector Machine for Bayesian Online Classification. | Thomas P. Minka, Rongjing Xiang, Yuan (Alan) Qi |
| 2006 | ISMB | Semi-supervised analysis of gene expression profiles for lineage-specific development in the | Yuan (Alan) Qi, Patrycja E. Missiuro, Ashish Kapoor, Craig P. Hunter, Tommi S. Jaakkola, David K. Gifford, Hui Ge |
| 2005 | AISTATS | Bayesian Conditional Random Fields. | Yuan (Alan) Qi, Martin Szummer, Tom Minka |
| 2005 | CVPR | Diagram Structure Recognition by Bayesian Conditional Random Fields. | Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka |
| 2005 | ICASSP | Symbol detection with time-varying unknown phase by expectation propagation. | Tao Wei, Yufei Huang, Yuan (Alan) Qi |
| 2004 | ICFHR | Contextual recognition of hand-drawn diagrams with conditional random fields. | Martin Szummer, Yuan (Alan) Qi |
| 2004 | ICML | Predictive automatic relevance determination by expectation propagation. | Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani |
| 2002 | ICASSP | Bayesian spectrum estimation of unevenly sampled nonstationary data. | Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard |
| 2002 | ICPR | Context-Sensitive Bayesian Classifiers and Application to Mouse Pressure Pattern Classification. | Yuan (Alan) Qi, Rosalind W. Picard |
| 2001 | ICASSP | Hybrid independent component analysis and support vector machine learning scheme for face detection. | Yuan (Alan) Qi, David S. Doermann, Daniel DeMenthon |