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All publications by Hongyuan Zha
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COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-rodriguez, Shuang Li, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 28, 2015


Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez-rodriguez, Isabel Valera, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 27, 2014


Mixture of Mutually Exciting Processes for Viral Diffusion
Shuang-hong Yang and Hongyuan Zha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez-rodriguez and Hongyuan Zha
Advances in Neural Information Processing Systems 26, 2013


Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang-hong Yang, Steven P. Crain and Hongyuan Zha
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
Shuang-hong Yang, Hongyuan Zha and Bao-gang Hu
Advances in Neural Information Processing Systems 22, 2009


Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
Andrew Smith, Hongyuan Zha and Xiao-ming Wu
Advances in Neural Information Processing Systems 21, 2008


A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen and Gordon Sun
Advances in Neural Information Processing Systems 20, 2007


Semi-supervised nonlinear dimensionality reduction
Xin Yang, Haoying Fu, Hongyuan Zha and Jesse L. Barlow
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


{\it R}$_{\mbox{1}}$-PCA: rotational invariant {\it L}$_{\mbox{1}}$-norm principal component analysis for robust subspace factorization
Chris Ding, Ding Zhou, Xiaofeng He and Hongyuan Zha
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A new Mallows distance based metric for comparing clusterings
Ding Zhou, Jia Li and Hongyuan Zha
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A Domain Decomposition Method for Fast Manifold Learning
Zhenyue Zhang and Hongyuan Zha
Advances in Neural Information Processing Systems 18, 2005


Adaptive Manifold Learning
Jing Wang, Zhenyue Zhang and Hongyuan Zha
Advances in Neural Information Processing Systems 17, 2004


Isometric Embedding and Continuum ISOMAP
Hongyuan Zha and Zhenyue Zhang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Spectral Relaxation for K-means Clustering
Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu and Horst D. Simon
Advances in Neural Information Processing Systems 14, 2001