Zhengdong Lu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 45

Top Topics

Convolutional Neural Network

Natural Language

Machine Translation

Global Consistency

Top Venues

Publications

Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. CoRR (2024)
Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang
Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator. LREC/COLING (2024)
Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. CoRR (2024)
Xianggen Liu, Zhengdong Lu, Lili Mou
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR (2023)
Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
ZoomNet for Topic-Oriented Fragment Recognition in Long Documents. IEEE Access 10 (2022)
Zhangyong Chen, Yubo Han, Yunfeng Wu, Zhengdong Lu, Xiangyu Liu
A Low Voltage Stress PFC Rectifier Based on Nonoverlapping Strategy Using Resonant Switched-Capacitor Converter. IEEE Trans. Ind. Electron. 69 (12) (2022)
Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu
Outline Extraction with Question-Specific Memory Cells. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19 (4) (2020)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Finding decision jumps in text classification. Neurocomputing 371 (2020)
Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu
Self-Balanced Dropout. CoRR (2019)
Bin Xiao, Zhengdong Lu, Shuang-xia Shi, Chao Gao, Li-hua Cao
Volterra-series-based equivalent nonlinear system method for subharmonic vibration systems. Int. J. Syst. Sci. 50 (3) (2019)
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li
A Prism Module for Semantic Disentanglement in Name Entity Recognition. ACL (1) (2019)
Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu
A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD (2019)
Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng
Object-oriented Neural Programming (OONP) for Document Understanding. ACL (1) (2018)
Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
Zooming Network. CoRR (2018)
Shen Li, Hengru Xu, Zhengdong Lu
Generalize Symbolic Knowledge With Neural Rule Engine. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Jumper: Learning When to Make Classification Decision in Reading. IJCAI (2018)
Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu
Neural Entity Reasoner for Global Consistency in NER. CoRR (2018)
Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu
Deep Neural Machine Translation with Linear Associative Unit. CoRR (2017)
Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang
Neural Machine Translation Advised by Statistical Machine Translation. AAAI (2017)
Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) (2017)
Zhengdong Lu, Haotian Cui, Xianggen Liu, Yukun Yan, Daqi Zheng
Object-oriented Neural Programming (OONP) for Document Understanding. CoRR (2017)
Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li
Context Gates for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 5 (2017)
Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
Event Identification as a Decision Process with Non-linear Representation of Text. CoRR (2017)
Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML (2017)
Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu
Deep Neural Machine Translation with Linear Associative Unit. ACL (1) (2017)
Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
Interactive Attention for Neural Machine Translation. CoRR (2016)
Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR (2016)
Zhengdong Lu, Hang Li, Ben Kao
Neural enquirer: learning to query tables in natural language. IEEE Data Eng. Bull. 39 (3) (2016)
Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
Memory-enhanced Decoder for Neural Machine Translation. CoRR (2016)
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CoRR (2016)
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
Coverage-based Neural Machine Translation. CoRR (2016)
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
Modeling Coverage for Neural Machine Translation. ACL (1) (2016)
Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
Memory-enhanced Decoder for Neural Machine Translation. EMNLP (2016)
Zhengdong Lu, Hang Li
Recent Progress in Deep Learning for NLP. HLT-NAACL Tutorials (2016)
Lin Ma, Zhengdong Lu, Hang Li
Learning to Answer Questions from Image Using Convolutional Neural Network. AAAI (2016)
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
Neural Enquirer: Learning to Query Tables in Natural Language. IJCAI (2016)
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
Neural Machine Translation with External Phrase Memory. CoRR (2016)
Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li
Context Gates for Neural Machine Translation. CoRR (2016)
Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
Neural Generative Question Answering. IJCAI (2016)
Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao
Overview of the NTCIR-12 Short Text Conversation Task. NTCIR (2016)
Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. ACL (1) (2016)
Hang Li, Zhengdong Lu
Deep Learning for Information Retrieval. SIGIR (2016)
Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
Interactive Attention for Neural Machine Translation. COLING (2016)
Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang
Neural Machine Translation Advised by Statistical Machine Translation. CoRR (2016)
Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen
Context-Dependent Translation Selection Using Convolutional Neural Network. ACL (2) (2015)
Lifeng Shang, Zhengdong Lu, Hang Li
Neural Responding Machine for Short-Text Conversation. CoRR (2015)
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
Encoding Source Language with Convolutional Neural Network for Machine Translation. ACL (1) (2015)
Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
Syntax-Based Deep Matching of Short Texts. IJCAI (2015)
Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
Multimodal Convolutional Neural Networks for Matching Image and Sentence. CoRR (2015)
Han Zhao, Zhengdong Lu, Pascal Poupart
Self-Adaptive Hierarchical Sentence Model. CoRR (2015)
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR (2015)
Han Zhao, Zhengdong Lu, Pascal Poupart
Self-Adaptive Hierarchical Sentence Model. IJCAI (2015)
Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu
genCNN: A Convolutional Architecture for Word Sequence Prediction. ACL (1) (2015)
Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
Neural Generative Question Answering. CoRR (2015)
Lifeng Shang, Zhengdong Lu, Hang Li
Neural Responding Machine for Short-Text Conversation. ACL (1) (2015)
Lin Ma, Zhengdong Lu, Hang Li
Learning to Answer Questions From Image using Convolutional Neural Network. CoRR (2015)
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
Neural Enquirer: Learning to Query Tables. CoRR (2015)
Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li
Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS (2015)
Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
Syntax-based Deep Matching of Short Texts. CoRR (2015)
Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong
Towards Neural Network-based Reasoning. CoRR (2015)
Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR (2015)
Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li
Context-Dependent Translation Selection Using Convolutional Neural Network. CoRR (2015)
Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
Convolutional Neural Network Architectures for Matching Natural Language Sentences. CoRR (2015)
Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu
CNN: A Convolutional Architecture for Word Sequence Prediction. CoRR (2015)
Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
Multimodal Convolutional Neural Networks for Matching Image and Sentence. ICCV (2015)
Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS (2014)
Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
A Parallel and Efficient Algorithm for Learning to Match. ICDM (2014)
Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
A Parallel and Efficient Algorithm for Learning to Match. CoRR (2014)
Zongcheng Ji, Zhengdong Lu, Hang Li
An Information Retrieval Approach to Short Text Conversation. CoRR (2014)
Wei Wu, Zhengdong Lu, Hang Li
Learning bilinear model for matching queries and documents. J. Mach. Learn. Res. 14 (1) (2013)
Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen
A Dataset for Research on Short-Text Conversations. EMNLP (2013)
Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang
Collaborative boosting for activity classification in microblogs. KDD (2013)
Zhengdong Lu, Hang Li
A Deep Architecture for Matching Short Texts. NIPS (2013)
Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie
Finding web appearances of social network users via latent factor model. SIGIR (2012)
Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu
Clustered embedding of massive social networks. SIGMETRICS (2012)
Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
A Denoising View of Matrix Completion. NIPS (2011)
Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Manifold Learning and Missing Data Recovery through Unsupervised Regression. ICDM (2011)
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon
Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. 3 (1) (2011)
Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye
Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. Neural Comput. 23 (9) (2011)
Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Parametric dimensionality reduction by unsupervised regression. CVPR (2010)
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon
Affiliation recommendation using auxiliary networks. RecSys (2010)
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon
Supervised Link Prediction Using Multiple Sources. ICDM (2010)
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
Geometry-aware metric learning. ICML (2009)
Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon
A spatio-temporal approach to collaborative filtering. RecSys (2009)
Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
Clustering with Multiple Graphs. ICDM (2009)
Zhengdong Lu, Miguel Á. Carreira-Perpiñán
Constrained spectral clustering through affinity propagation. CVPR (2008)
Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye
Hierarchical Fisher Kernels for Longitudinal Data. NIPS (2008)
Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus
A reproducing kernel Hilbert space framework for pairwise time series distances. ICML (2008)
Miguel Á. Carreira-Perpiñán, Zhengdong Lu
Dimensionality reduction by unsupervised regression. CVPR (2008)
Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen
Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP (2008)
Zhengdong Lu
Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. AISTATS (2007)
Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista
Fast neural network surrogates for very high dimensional physics-based models in computational oceanography. Neural Networks 20 (4) (2007)
Miguel Á. Carreira-Perpiñán, Zhengdong Lu
The Laplacian Eigenmaps Latent Variable Model. AISTATS (2007)
Zhengdong Lu, Todd K. Leen
Penalized Probabilistic Clustering. Neural Comput. 19 (6) (2007)
Zhengdong Lu, Miguel Á. Carreira-Perpiñán, Cristian Sminchisescu
People Tracking with the Laplacian Eigenmaps Latent Variable Model. NIPS (2007)
Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista
Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478]. Neural Networks 20 (6) (2007)
Zhengdong Lu, Todd K. Leen
Semi-supervised Learning with Penalized Probabilistic Clustering. NIPS (2004)