Zhengdong Lu

According to our database, Zhengdong Lu authored at least 78 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Weakly Supervised Reasoning by Neuro-Symbolic Approaches.

Xianggen Liu, Zhengdong Lu, Lili Mou

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Weakly Supervised Reasoning by Neuro-Symbolic Approaches.

Xianggen Liu, Zhengdong Lu, Lili Mou

CoRR, 2023

2022

A Low Voltage Stress PFC Rectifier Based on Nonoverlapping Strategy Using Resonant Switched-Capacitor Converter.

Zhangyong Chen, Yubo Han, Yunfeng Wu, Zhengdong Lu, Xiangyu Liu

IEEE Trans. Ind. Electron., 2022

ZoomNet for Topic-Oriented Fragment Recognition in Long Documents.

Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song

IEEE Access, 2022

2020

Outline Extraction with Question-Specific Memory Cells.

Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Finding decision jumps in text classification.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

Neurocomputing, 2020

2019

Volterra-series-based equivalent nonlinear system method for subharmonic vibration systems.

Bin Xiao, Zhengdong Lu, Shuang-xia Shi, Chao Gao, Li-hua Cao

Int. J. Syst. Sci., 2019

Self-Balanced Dropout.

Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu

CoRR, 2019

A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition.

Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

A Prism Module for Semantic Disentanglement in Name Entity Recognition.

Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Zooming Network.

Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song

CoRR, 2018

Neural Entity Reasoner for Global Consistency in NER.

Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu

CoRR, 2018

Generalize Symbolic Knowledge With Neural Rule Engine.

Shen Li, Hengru Xu, Zhengdong Lu

CoRR, 2018

JUMPER: Learning When to Make Classification Decisions in Reading.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

CoRR, 2018

Jumper: Learning When to Make Classification Decision in Reading.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Object-oriented Neural Programming (OONP) for Document Understanding.

Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Context Gates for Neural Machine Translation.

Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li

Trans. Assoc. Comput. Linguistics, 2017

Event Identification as a Decision Process with Non-linear Representation of Text.

Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song

CoRR, 2017

Coupling Distributed and Symbolic Execution for Natural Language Queries.

Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin

Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Neural Machine Translation with Linear Associative Unit.

Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Machine Translation Advised by Statistical Machine Translation.

Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Neural enquirer: learning to query tables in natural language.

Zhengdong Lu, Hang Li, Ben Kao

IEEE Data Eng. Bull., 2016

Coverage-based Neural Machine Translation.

Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li

CoRR, 2016

Neural Machine Translation with External Phrase Memory.

Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu

CoRR, 2016

Deep Learning for Information Retrieval.

Hang Li, Zhengdong Lu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Overview of the NTCIR-12 Short Text Conversation Task.

Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Recent Progress in Deep Learning for NLP.

Zhengdong Lu, Hang Li

Proceedings of the Tutorial Abstracts, 2016

Neural Enquirer: Learning to Query Tables in Natural Language.

Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Neural Generative Question Answering.

Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Memory-enhanced Decoder for Neural Machine Translation.

Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Interactive Attention for Neural Machine Translation.

Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu

Proceedings of the COLING 2016, 2016

Modeling Coverage for Neural Machine Translation.

Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Incorporating Copying Mechanism in Sequence-to-Sequence Learning.

Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning to Answer Questions from Image Using Convolutional Neural Network.

Lin Ma, Zhengdong Lu, Hang Li

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Neural Enquirer: Learning to Query Tables.

Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao

CoRR, 2015

<i>gen</i>CNN: A Convolutional Architecture for Word Sequence Prediction.

Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu

CoRR, 2015

Context-Dependent Translation Selection Using Convolutional Neural Network.

Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li

CoRR, 2015

Towards Neural Network-based Reasoning.

Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong

CoRR, 2015

Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning.

Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu

CoRR, 2015

Self-Adaptive Hierarchical Sentence Model.

Han Zhao, Zhengdong Lu, Pascal Poupart

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Syntax-Based Deep Matching of Short Texts.

Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multimodal Convolutional Neural Networks for Matching Image and Sentence.

Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Topic Set Size Design with the Evaluation Measures for Short Text Conversation.

Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li

Proceedings of the Information Retrieval Technology, 2015

genCNN: A Convolutional Architecture for Word Sequence Prediction.

Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Neural Responding Machine for Short-Text Conversation.

Lifeng Shang, Zhengdong Lu, Hang Li

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Encoding Source Language with Convolutional Neural Network for Machine Translation.

Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Context-Dependent Translation Selection Using Convolutional Neural Network.

Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

An Information Retrieval Approach to Short Text Conversation.

Zongcheng Ji, Zhengdong Lu, Hang Li

CoRR, 2014

Convolutional Neural Network Architectures for Matching Natural Language Sentences.

Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Parallel and Efficient Algorithm for Learning to Match.

Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Learning bilinear model for matching queries and documents.

Wei Wu, Zhengdong Lu, Hang Li

J. Mach. Learn. Res., 2013

A Deep Architecture for Matching Short Texts.

Zhengdong Lu, Hang Li

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Collaborative boosting for activity classification in microblogs.

Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Dataset for Research on Short-Text Conversations.

Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Clustered embedding of massive social networks.

Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Finding web appearances of social network users via latent factor model.

Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011

Scalable Affiliation Recommendation using Auxiliary Networks.

Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon

ACM Trans. Intell. Syst. Technol., 2011

Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals.

Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye

Neural Comput., 2011

A Denoising View of Matrix Completion.

Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Manifold Learning and Missing Data Recovery through Unsupervised Regression.

Miguel Á. Carreira-Perpiñán, Zhengdong Lu

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Affiliation recommendation using auxiliary networks.

Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Supervised Link Prediction Using Multiple Sources.

Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon

Proceedings of the ICDM 2010, 2010

Parametric dimensionality reduction by unsupervised regression.

Miguel Á. Carreira-Perpiñán, Zhengdong Lu

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

A spatio-temporal approach to collaborative filtering.

Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Geometry-aware metric learning.

Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Clustering with Multiple Graphs.

Wei Tang, Zhengdong Lu, Inderjit S. Dhillon

Proceedings of the ICDM 2009, 2009

2008

Hierarchical Fisher Kernels for Longitudinal Data.

Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A reproducing kernel Hilbert space framework for pairwise time series distances.

Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus

Proceedings of the Machine Learning, 2008

Detecting mild cognitive loss with continuous monitoring of medication adherence.

Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen

Proceedings of the IEEE International Conference on Acoustics, 2008

Constrained spectral clustering through affinity propagation.

Zhengdong Lu, Miguel Á. Carreira-Perpiñán

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Dimensionality reduction by unsupervised regression.

Miguel Á. Carreira-Perpiñán, Zhengdong Lu

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478].

Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista

Neural Networks, 2007

Fast neural network surrogates for very high dimensional physics-based models in computational oceanography.

Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista

Neural Networks, 2007

Penalized Probabilistic Clustering.

Zhengdong Lu, Todd K. Leen

Neural Comput., 2007

Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach.

Zhengdong Lu

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

The Laplacian Eigenmaps Latent Variable Model.

Miguel Á. Carreira-Perpiñán, Zhengdong Lu

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

People Tracking with the Laplacian Eigenmaps Latent Variable Model.

Zhengdong Lu, Miguel Á. Carreira-Perpiñán, Cristian Sminchisescu

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2004

Semi-supervised Learning with Penalized Probabilistic Clustering.

Zhengdong Lu, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004