Lu, Zhengdong

24 publications

IJCAI 2018 Jumper: Learning When to Make Classification Decision in Reading Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
ICML 2017 Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
ICLR 2017 Coupling Distributed and Symbolic Execution for Natural Language Queries Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
AAAI 2017 Neural Machine Translation Advised by Statistical Machine Translation Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang
AAAI 2016 Learning to Answer Questions from Image Using Convolutional Neural Network Lin Ma, Zhengdong Lu, Hang Li
IJCAI 2016 Neural Enquirer: Learning to Query Tables in Natural Language Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
IJCAI 2016 Neural Generative Question Answering Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
ICCV 2015 Multimodal Convolutional Neural Networks for Matching Image and Sentence Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
IJCAI 2015 Self-Adaptive Hierarchical Sentence Model Han Zhao, Zhengdong Lu, Pascal Poupart
IJCAI 2015 Syntax-Based Deep Matching of Short Texts Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
NeurIPS 2014 Convolutional Neural Network Architectures for Matching Natural Language Sentences Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
NeurIPS 2013 A Deep Architecture for Matching Short Texts Zhengdong Lu, Hang Li
JMLR 2013 Learning Bilinear Model for Matching Queries and Documents Wei Wu, Zhengdong Lu, Hang Li
NeurIPS 2011 A Denoising View of Matrix Completion Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
CVPR 2010 Parametric Dimensionality Reduction by Unsupervised Regression Miguel Á. Carreira-Perpiñán, Zhengdong Lu
ICML 2009 Geometry-Aware Metric Learning Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICML 2008 A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus
CVPR 2008 Constrained Spectral Clustering Through Affinity Propagation Zhengdong Lu, Miguel Á. Carreira-Perpiñán
CVPR 2008 Dimensionality Reduction by Unsupervised Regression Miguel Á. Carreira-Perpiñán, Zhengdong Lu
NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data Zhengdong Lu, Jeffrey Kaye, Todd K. Leen
NeurIPS 2007 People Tracking with the Laplacian Eigenmaps Latent Variable Model Zhengdong Lu, Cristian Sminchisescu, Miguel Á. Carreira-Perpiñán
AISTATS 2007 Semi-Supervised Clustering with Pairwise Constraints: A Discriminative Approach Zhengdong Lu
AISTATS 2007 The Laplacian Eigenmaps Latent Variable Model Miguel A. Carreira-Perpiñán, Zhengdong Lu
NeurIPS 2004 Semi-Supervised Learning with Penalized Probabilistic Clustering Zhengdong Lu, Todd K. Leen