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Zhengdong Lu
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2020 – today
- 2024
- [c51]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: 17851-17857 - [i34]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 abs/2404.05880 (2024) - [i33]Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen:
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. CoRR abs/2406.01394 (2024) - 2023
- [p1]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. Compendium of Neurosymbolic Artificial Intelligence 2023: 665-692 - [i32]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR abs/2309.13072 (2023) - 2022
- [j13]Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song:
ZoomNet for Topic-Oriented Fragment Recognition in Long Documents. IEEE Access 10: 39545-39554 (2022) - [j12]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): 12728-12738 (2022) - 2020
- [j11]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Finding decision jumps in text classification. Neurocomputing 371: 177-187 (2020) - [j10]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): 48:1-48:17 (2020)
2010 – 2019
- 2019
- [j9]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): 479-494 (2019) - [c50]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: 5358-5362 - [c49]Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu:
A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD 2019: 63-71 - [i31]Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu:
Self-Balanced Dropout. CoRR abs/1908.01968 (2019) - 2018
- [c48]Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng:
Object-oriented Neural Programming (OONP) for Document Understanding. ACL (1) 2018: 2717-2726 - [c47]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Jumper: Learning When to Make Classification Decision in Reading. IJCAI 2018: 4237-4243 - [i30]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR abs/1807.02314 (2018) - [i29]Shen Li, Hengru Xu, Zhengdong Lu:
Generalize Symbolic Knowledge With Neural Rule Engine. CoRR abs/1808.10326 (2018) - [i28]Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu:
Neural Entity Reasoner for Global Consistency in NER. CoRR abs/1810.00347 (2018) - [i27]Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song:
Zooming Network. CoRR abs/1810.02114 (2018) - 2017
- [j8]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 5: 87-99 (2017) - [c46]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c45]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. ACL (1) 2017: 136-145 - [c44]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) 2017 - [c43]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML 2017: 2518-2526 - [i26]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. CoRR abs/1705.00861 (2017) - [i25]Zhengdong Lu, Haotian Cui, Xianggen Liu, Yukun Yan, Daqi Zheng:
Object-oriented Neural Programming (OONP) for Document Understanding. CoRR abs/1709.08853 (2017) - [i24]Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song:
Event Identification as a Decision Process with Non-linear Representation of Text. CoRR abs/1710.00969 (2017) - 2016
- [j7]Zhengdong Lu, Hang Li, Ben Kao:
Neural enquirer: learning to query tables in natural language. IEEE Data Eng. Bull. 39(3): 63-73 (2016) - [c42]Lin Ma, Zhengdong Lu, Hang Li:
Learning to Answer Questions from Image Using Convolutional Neural Network. AAAI 2016: 3567-3573 - [c41]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. ACL (1) 2016 - [c40]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Modeling Coverage for Neural Machine Translation. ACL (1) 2016 - [c39]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. COLING 2016: 2174-2185 - [c38]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. EMNLP 2016: 278-286 - [c37]Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao:
Neural Enquirer: Learning to Query Tables in Natural Language. IJCAI 2016: 2308-2314 - [c36]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. IJCAI 2016: 2972-2978 - [c35]Zhengdong Lu, Hang Li:
Recent Progress in Deep Learning for NLP. HLT-NAACL Tutorials 2016: 11-13 - [c34]Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao:
Overview of the NTCIR-12 Short Text Conversation Task. NTCIR 2016 - [c33]Hang Li, Zhengdong Lu:
Deep Learning for Information Retrieval. SIGIR 2016: 1203-1206 - [i23]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Coverage-based Neural Machine Translation. CoRR abs/1601.04811 (2016) - [i22]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CoRR abs/1603.06393 (2016) - [i21]Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu:
Neural Machine Translation with External Phrase Memory. CoRR abs/1606.01792 (2016) - [i20]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. CoRR abs/1606.02003 (2016) - [i19]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. CoRR abs/1608.06043 (2016) - [i18]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. CoRR abs/1610.05011 (2016) - [i17]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. CoRR abs/1610.05150 (2016) - [i16]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR abs/1612.02741 (2016) - 2015
- [c32]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: 20-30 - [c31]Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen:
Context-Dependent Translation Selection Using Convolutional Neural Network. ACL (2) 2015: 536-541 - [c30]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. ACL (1) 2015: 1567-1576 - [c29]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. ACL (1) 2015: 1577-1586 - [c28]Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li:
Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS 2015: 319-331 - [c27]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. ICCV 2015: 2623-2631 - [c26]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-Based Deep Matching of Short Texts. IJCAI 2015: 1354-1361 - [c25]Han Zhao, Zhengdong Lu, Pascal Poupart:
Self-Adaptive Hierarchical Sentence Model. IJCAI 2015: 4069-4076 - [i15]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR abs/1503.01838 (2015) - [i14]Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li:
Context-Dependent Translation Selection Using Convolutional Neural Network. CoRR abs/1503.02357 (2015) - [i13]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. CoRR abs/1503.02364 (2015) - [i12]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-based Deep Matching of Short Texts. CoRR abs/1503.02427 (2015) - [i11]Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen:
Convolutional Neural Network Architectures for Matching Natural Language Sentences. CoRR abs/1503.03244 (2015) - [i10]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. CoRR abs/1503.05034 (2015) - [i9]Han Zhao, Zhengdong Lu, Pascal Poupart:
Self-Adaptive Hierarchical Sentence Model. CoRR abs/1504.05070 (2015) - [i8]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. CoRR abs/1504.06063 (2015) - [i7]Lin Ma, Zhengdong Lu, Hang Li:
Learning to Answer Questions From Image using Convolutional Neural Network. CoRR abs/1506.00333 (2015) - [i6]Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu:
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR abs/1506.06442 (2015) - [i5]Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong:
Towards Neural Network-based Reasoning. CoRR abs/1508.05508 (2015) - [i4]Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao:
Neural Enquirer: Learning to Query Tables. CoRR abs/1512.00965 (2015) - [i3]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. CoRR abs/1512.01337 (2015) - 2014
- [c24]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c23]Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen:
Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS 2014: 2042-2050 - [i2]Zongcheng Ji, Zhengdong Lu, Hang Li:
An Information Retrieval Approach to Short Text Conversation. CoRR abs/1408.6988 (2014) - [i1]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014) - 2013
- [j6]Wei Wu, Zhengdong Lu, Hang Li:
Learning bilinear model for matching queries and documents. J. Mach. Learn. Res. 14(1): 2519-2548 (2013) - [c22]Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen:
A Dataset for Research on Short-Text Conversations. EMNLP 2013: 935-945 - [c21]Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang:
Collaborative boosting for activity classification in microblogs. KDD 2013: 482-490 - [c20]Zhengdong Lu, Hang Li:
A Deep Architecture for Matching Short Texts. NIPS 2013: 1367-1375 - 2012
- [c19]Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie:
Finding web appearances of social network users via latent factor model. SIGIR 2012: 1077-1078 - [c18]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: 331-342 - 2011
- [j5]Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye:
Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. Neural Comput. 23(9): 2390-2420 (2011) - [j4]Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon:
Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. 3(1): 3:1-3:20 (2011) - [c17]Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
Manifold Learning and Missing Data Recovery through Unsupervised Regression. ICDM 2011: 1014-1019 - [c16]Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
A Denoising View of Matrix Completion. NIPS 2011: 334-342 - 2010
- [c15]Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
Parametric dimensionality reduction by unsupervised regression. CVPR 2010: 1895-1902 - [c14]Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon:
Supervised Link Prediction Using Multiple Sources. ICDM 2010: 923-928 - [c13]Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon:
Affiliation recommendation using auxiliary networks. RecSys 2010: 103-110
2000 – 2009
- 2009
- [c12]Wei Tang, Zhengdong Lu, Inderjit S. Dhillon:
Clustering with Multiple Graphs. ICDM 2009: 1016-1021 - [c11]Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon:
Geometry-aware metric learning. ICML 2009: 673-680 - [c10]Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon:
A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20 - 2008
- [c9]Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
Dimensionality reduction by unsupervised regression. CVPR 2008 - [c8]Zhengdong Lu, Miguel Á. Carreira-Perpiñán:
Constrained spectral clustering through affinity propagation. CVPR 2008 - [c7]Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen:
Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP 2008: 609-612 - [c6]Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus:
A reproducing kernel Hilbert space framework for pairwise time series distances. ICML 2008: 624-631 - [c5]Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye:
Hierarchical Fisher Kernels for Longitudinal Data. NIPS 2008: 1961-1968 - 2007
- [j3]Zhengdong Lu, Todd K. Leen:
Penalized Probabilistic Clustering. Neural Comput. 19(6): 1528-1567 (2007) - [j2]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): 462-478 (2007) - [j1]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): 761-762 (2007) - [c4]Zhengdong Lu, Miguel Á. Carreira-Perpiñán, Cristian Sminchisescu:
People Tracking with the Laplacian Eigenmaps Latent Variable Model. NIPS 2007: 1705-1712 - [c3]Miguel Á. Carreira-Perpiñán, Zhengdong Lu:
The Laplacian Eigenmaps Latent Variable Model. AISTATS 2007: 59-66 - [c2]Zhengdong Lu:
Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. AISTATS 2007: 299-306 - 2004
- [c1]Zhengdong Lu, Todd K. Leen:
Semi-supervised Learning with Penalized Probabilistic Clustering. NIPS 2004: 849-856
Coauthor Index
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last updated on 2024-08-08 20:17 CEST by the dblp team
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