Semi-supervised Learning with Penalized Probabilistic Clustering. - Zhengdong Lu; Todd K. Leen (NIPS, 2004)

People Tracking with the Laplacian Eigenmaps Latent Variable Model. - Zhengdong Lu; Miguel Á. Carreira-Perpiñán; Cristian Sminchisescu (NIPS, 2007)

The Laplacian Eigenmaps Latent Variable Model. - Miguel Á. Carreira-Perpiñán; Zhengdong Lu (AISTATS, 2007)

Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. - Zhengdong Lu (AISTATS, 2007)

Penalized Probabilistic Clustering. - Zhengdong Lu; Todd K. Leen (Neural Comput., 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)

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)

Dimensionality reduction by unsupervised regression. - Miguel Á. Carreira-Perpiñán; Zhengdong Lu (CVPR, 2008)

Constrained spectral clustering through affinity propagation. - Zhengdong Lu; Miguel Á. Carreira-Perpiñán (CVPR, 2008)

Detecting mild cognitive loss with continuous monitoring of medication adherence. - Yonghong Huang; Deniz Erdogmus; Zhengdong Lu; Todd K. Leen (ICASSP, 2008)

A reproducing kernel Hilbert space framework for pairwise time series distances. - Zhengdong Lu; Todd K. Leen; Yonghong Huang; Deniz Erdogmus (ICML, 2008)

Hierarchical Fisher Kernels for Longitudinal Data. - Zhengdong Lu; Todd K. Leen; Jeffrey A. Kaye (NIPS, 2008)

Clustering with Multiple Graphs. - Wei Tang; Zhengdong Lu; Inderjit S. Dhillon (ICDM, 2009)

Geometry-aware metric learning. - Zhengdong Lu; Prateek Jain 002; Inderjit S. Dhillon (ICML, 2009)

A spatio-temporal approach to collaborative filtering. - Zhengdong Lu; Deepak Agarwal; Inderjit S. Dhillon (RecSys, 2009)

Parametric dimensionality reduction by unsupervised regression. - Miguel Á. Carreira-Perpiñán; Zhengdong Lu (CVPR, 2010)

Supervised Link Prediction Using Multiple Sources. - Zhengdong Lu; Berkant Savas; Wei Tang; Inderjit S. Dhillon (ICDM, 2010)

Affiliation recommendation using auxiliary networks. - Vishvas Vasuki; Nagarajan Natarajan; Zhengdong Lu; Inderjit S. Dhillon (RecSys, 2010)

Manifold Learning and Missing Data Recovery through Unsupervised Regression. - Miguel Á. Carreira-Perpiñán; Zhengdong Lu (ICDM, 2011)

A Denoising View of Matrix Completion. - Weiran Wang; Miguel Á. Carreira-Perpiñán; Zhengdong Lu (NIPS, 2011)

Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. - Zhengdong Lu; Todd K. Leen; Jeffrey A. Kaye (Neural Comput., 2011)

Scalable Affiliation Recommendation using Auxiliary Networks. - Vishvas Vasuki; Nagarajan Natarajan; Zhengdong Lu; Berkant Savas; Inderjit S. Dhillon (ACM Trans. Intell. Syst. Technol., 2011)

Finding web appearances of social network users via latent factor model. - Kailong Chen; Zhengdong Lu; Xiaoshi Yin; Yong Yu 001; Zaiqing Nie (SIGIR, 2012)

Clustered embedding of massive social networks. - Han Hee Song; Berkant Savas; Tae Won Cho; Vacha Dave; Zhengdong Lu; Inderjit S. Dhillon; Yin Zhang 001; Lili Qiu (SIGMETRICS, 2012)

A Dataset for Research on Short-Text Conversations. - Hao Wang 076; Zhengdong Lu; Hang Li 001; Enhong Chen (EMNLP, 2013)

Collaborative boosting for activity classification in microblogs. - Yangqiu Song; Zhengdong Lu; Cane Wing-ki Leung; Qiang Yang 001 (KDD, 2013)

A Deep Architecture for Matching Short Texts. - Zhengdong Lu; Hang Li 001 (NIPS, 2013)

Learning bilinear model for matching queries and documents. - Wei Wu 014; Zhengdong Lu; Hang Li 001 (J. Mach. Learn. Res., 2013)

A Parallel and Efficient Algorithm for Learning to Match. - Jingbo Shang; Tianqi Chen 001; Hang Li 001; Zhengdong Lu; Yong Yu 001 (ICDM, 2014)

Convolutional Neural Network Architectures for Matching Natural Language Sentences. - Baotian Hu; Zhengdong Lu; Hang Li 001; Qingcai Chen (NIPS, 2014)

An Information Retrieval Approach to Short Text Conversation. - Zongcheng Ji; Zhengdong Lu; Hang Li 001 (CoRR, 2014)

Context-Dependent Translation Selection Using Convolutional Neural Network. - Baotian Hu; Zhaopeng Tu; Zhengdong Lu; Hang Li 001; Qingcai Chen (ACL (2), 2015)

Encoding Source Language with Convolutional Neural Network for Machine Translation. - Fandong Meng; Zhengdong Lu; Mingxuan Wang; Hang Li 001; Wenbin Jiang 002; Qun Liu 001 (ACL (1), 2015)

Neural Responding Machine for Short-Text Conversation. - Lifeng Shang; Zhengdong Lu; Hang Li 001 (ACL (1), 2015)

genCNN: A Convolutional Architecture for Word Sequence Prediction. - Mingxuan Wang; Zhengdong Lu; Hang Li 001; Wenbin Jiang 002; Qun Liu 001 (ACL (1), 2015)

Topic Set Size Design with the Evaluation Measures for Short Text Conversation. - Tetsuya Sakai; Lifeng Shang; Zhengdong Lu; Hang Li 001 (AIRS, 2015)

Multimodal Convolutional Neural Networks for Matching Image and Sentence. - Lin Ma; Zhengdong Lu; Lifeng Shang; Hang Li 001 (ICCV, 2015)

Syntax-Based Deep Matching of Short Texts. - Mingxuan Wang; Zhengdong Lu; Hang Li 001; Qun Liu 001 (IJCAI, 2015)

Self-Adaptive Hierarchical Sentence Model. - Han Zhao 002; Zhengdong Lu; Pascal Poupart (IJCAI, 2015)

Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. - Fandong Meng; Zhengdong Lu; Zhaopeng Tu; Hang Li 001; Qun Liu 001 (CoRR, 2015)

Towards Neural Network-based Reasoning. - Baolin Peng; Zhengdong Lu; Hang Li 001; Kam-Fai Wong (CoRR, 2015)

Context-Dependent Translation Selection Using Convolutional Neural Network. - Zhaopeng Tu; Baotian Hu; Zhengdong Lu; Hang Li 001 (CoRR, 2015)

genCNN: A Convolutional Architecture for Word Sequence Prediction. - Mingxuan Wang; Zhengdong Lu; Hang Li 001; Wenbin Jiang 002; Qun Liu 001 (CoRR, 2015)

Neural Enquirer: Learning to Query Tables. - Pengcheng Yin; Zhengdong Lu; Hang Li 001; Ben Kao (CoRR, 2015)

Learning to Answer Questions from Image Using Convolutional Neural Network. - Lin Ma; Zhengdong Lu; Hang Li 001 (AAAI, 2016)

Incorporating Copying Mechanism in Sequence-to-Sequence Learning. - Jiatao Gu; Zhengdong Lu; Hang Li 001; Victor O. K. Li (ACL (1), 2016)

Modeling Coverage for Neural Machine Translation. - Zhaopeng Tu; Zhengdong Lu; Yang Liu 005; Xiaohua Liu; Hang Li 001 (ACL (1), 2016)

Interactive Attention for Neural Machine Translation. - Fandong Meng; Zhengdong Lu; Hang Li 001; Qun Liu 001 (COLING, 2016)

Memory-enhanced Decoder for Neural Machine Translation. - Mingxuan Wang; Zhengdong Lu; Hang Li 001; Qun Liu 001 (EMNLP, 2016)

Neural Generative Question Answering. - Jun Yin; Xin Jiang 002; Zhengdong Lu; Lifeng Shang; Hang Li 001; Xiaoming Li (IJCAI, 2016)

Neural Enquirer: Learning to Query Tables in Natural Language. - Pengcheng Yin; Zhengdong Lu; Hang Li 001; Ben Kao (IJCAI, 2016)

Recent Progress in Deep Learning for NLP. - Zhengdong Lu; Hang Li 001 (HLT-NAACL Tutorials, 2016)

Overview of the NTCIR-12 Short Text Conversation Task. - Lifeng Shang; Tetsuya Sakai; Zhengdong Lu; Hang Li 001; Ryuichiro Higashinaka; Yusuke Miyao (NTCIR, 2016)

Deep Learning for Information Retrieval. - Hang Li 001; Zhengdong Lu (SIGIR, 2016)

Neural Machine Translation with External Phrase Memory. - Yaohua Tang; Fandong Meng; Zhengdong Lu; Hang Li 001; Philip L. H. Yu (CoRR, 2016)

Coverage-based Neural Machine Translation. - Zhaopeng Tu; Zhengdong Lu; Yang Liu 005; Xiaohua Liu; Hang Li 001 (CoRR, 2016)

Neural enquirer: learning to query tables in natural language. - Zhengdong Lu; Hang Li 001; Ben Kao (IEEE Data Eng. Bull., 2016)

Neural Machine Translation Advised by Statistical Machine Translation. - Xing Wang 007; Zhengdong Lu; Zhaopeng Tu; Hang Li 001; Deyi Xiong; Min Zhang 005 (AAAI, 2017)

Deep Neural Machine Translation with Linear Associative Unit. - Mingxuan Wang; Zhengdong Lu; Jie Zhou 016; Qun Liu 001 (ACL (1), 2017)

Coupling Distributed and Symbolic Execution for Natural Language Queries. - Lili Mou; Zhengdong Lu; Hang Li 001; Zhi Jin (ICML, 2017)

Event Identification as a Decision Process with Non-linear Representation of Text. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (CoRR, 2017)

Context Gates for Neural Machine Translation. - Zhaopeng Tu; Yang Liu 005; Zhengdong Lu; Xiaohua Liu; Hang Li 001 (Trans. Assoc. Comput. Linguistics, 2017)

Object-oriented Neural Programming (OONP) for Document Understanding. - Zhengdong Lu; Xianggen Liu; Haotian Cui; Yukun Yan; Daqi Zheng (ACL (1), 2018)

Jumper: Learning When to Make Classification Decision in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (IJCAI, 2018)

JUMPER: Learning When to Make Classification Decisions in Reading. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (CoRR, 2018)

Generalize Symbolic Knowledge With Neural Rule Engine. - Shen Li; Hengru Xu; Zhengdong Lu (CoRR, 2018)

Neural Entity Reasoner for Global Consistency in NER. - Xiaoxiao Yin; Daqi Zheng; Zhengdong Lu; Ruifang Liu (CoRR, 2018)

Zooming Network. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (CoRR, 2018)

A Prism Module for Semantic Disentanglement in Name Entity Recognition. - Kun Liu; Shen Li; Daqi Zheng; Zhengdong Lu; Sheng Gao 001; Si Li 001 (ACL (1), 2019)

A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. - Xiaoxiao Yin; Ruifang Liu; Daqi Zheng; Zhengdong Lu (ICNC-FSKD, 2019)

Self-Balanced Dropout. - Shen Li; Chenhao Su; Renfen Hu; Zhengdong Lu (CoRR, 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)

Finding decision jumps in text classification. - Xianggen Liu; Lili Mou; Haotian Cui; Zhengdong Lu; Sen Song (Neurocomputing, 2020)

Outline Extraction with Question-Specific Memory Cells. - Jingxuan Yang; Haotian Cui; Si Li 001; Sheng Gao 001; Jun Guo 002; Zhengdong Lu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

ZoomNet for Topic-Oriented Fragment Recognition in Long Documents. - Yukun Yan; Daqi Zheng; Zhengdong Lu; Sen Song (IEEE Access, 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)

Weakly Supervised Reasoning by Neuro-Symbolic Approaches. - Xianggen Liu; Zhengdong Lu; Lili Mou (CoRR, 2023)

Weakly Supervised Reasoning by Neuro-Symbolic Approaches. - Xianggen Liu; Zhengdong Lu; Lili Mou (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator. - Ziqian Zeng; Runyu Wu; Yuxiang Xiao; Xiaoda Zhong; Hanlin Wang; Zhengdong Lu; Huiping Zhuang (LREC/COLING, 2024)

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. - Weikai Lu; Ziqian Zeng; Jianwei Wang; Zhengdong Lu; Zelin Chen; Huiping Zhuang; Cen Chen 002 (CoRR, 2024)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. - Ziqian Zeng; Jianwei Wang; Zhengdong Lu; Huiping Zhuang; Cen Chen 002 (CoRR, 2024)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. - Ziqian Zeng; Jianwei Wang; Junyao Yang; Zhengdong Lu; Haoran Li; Huiping Zhuang; Cen Chen 002 (ACL (1), 2025)

Subkv: Quantizing Long Context KV Cache for Sub-Billion Parameter Language Models on Edge Devices. - Ziqian Zeng; Tao Zhang 019; Zhengdong Lu; Wenjun Li; Huiping Zhuang; Hongen Shao; Sin G. Teo; Xiaofeng Zou (Softw. Pract. Exp., 2025)

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints. - Zhengdong Lu; Weikai Lu; Yiling Tao; Yun Dai; Zixuan Chen; Huiping Zhuang; Cen Chen 002; Hao Peng; Ziqian Zeng (CoRR, 2025)

Zero-shot event argument extraction by disentangling trigger from argument and role. - Zhengdong Lu; Ziqian Zeng; Jianwei Wang; Hanlin Wang; Weikai Lu; Huiping Zhuang (Int. J. Mach. Learn. Cybern., 2025)