| 2025 | ACL | 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 |
| 2024 | COLING | 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 |
| 2019 | ACL | A Prism Module for Semantic Disentanglement in Name Entity Recognition. | Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li |
| 2019 | ICNC | A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. | Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu |
| 2018 | ACL | Object-oriented Neural Programming (OONP) for Document Understanding. | Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng |
| 2018 | IJCAI | Jumper: Learning When to Make Classification Decision in Reading. | Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song |
| 2017 | AAAI | Neural Machine Translation Advised by Statistical Machine Translation. | Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang |
| 2017 | ACL | Deep Neural Machine Translation with Linear Associative Unit. | Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu |
| 2017 | ICLR | Coupling Distributed and Symbolic Execution for Natural Language Queries. | Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin |
| 2017 | ICML | Coupling Distributed and Symbolic Execution for Natural Language Queries. | Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin |
| 2016 | AAAI | Learning to Answer Questions from Image Using Convolutional Neural Network. | Lin Ma, Zhengdong Lu, Hang Li |
| 2016 | ACL | Incorporating Copying Mechanism in Sequence-to-Sequence Learning. | Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li |
| 2016 | ACL | Modeling Coverage for Neural Machine Translation. | Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li |
| 2016 | COLING | Interactive Attention for Neural Machine Translation. | Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu |
| 2016 | EMNLP | Memory-enhanced Decoder for Neural Machine Translation. | Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu |
| 2016 | IJCAI | Neural Generative Question Answering. | Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li |
| 2016 | IJCAI | Neural Enquirer: Learning to Query Tables in Natural Language. | Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao |
| 2016 | NAACL | Recent Progress in Deep Learning for NLP. | Zhengdong Lu, Hang Li |
| 2016 | SIGIR | Deep Learning for Information Retrieval. | Hang Li, Zhengdong Lu |
| 2015 | ACL | Context-Dependent Translation Selection Using Convolutional Neural Network. | Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen |
| 2015 | ACL | Encoding Source Language with Convolutional Neural Network for Machine Translation. | Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu |
| 2015 | ACL | Neural Responding Machine for Short-Text Conversation. | Lifeng Shang, Zhengdong Lu, Hang Li |
| 2015 | ACL | genCNN: A Convolutional Architecture for Word Sequence Prediction. | Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu |
| 2015 | ICCV | Multimodal Convolutional Neural Networks for Matching Image and Sentence. | Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li |
| 2015 | IJCAI | Syntax-Based Deep Matching of Short Texts. | Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu |
| 2015 | IJCAI | Self-Adaptive Hierarchical Sentence Model. | Han Zhao, Zhengdong Lu, Pascal Poupart |
| 2014 | ICDM | A Parallel and Efficient Algorithm for Learning to Match. | Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu |
| 2013 | EMNLP | A Dataset for Research on Short-Text Conversations. | Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen |
| 2013 | KDD | Collaborative boosting for activity classification in microblogs. | Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang |
| 2012 | SIGIR | Finding web appearances of social network users via latent factor model. | Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie |
| 2012 | SIGMETRICS | 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 |
| 2011 | ICDM | Manifold Learning and Missing Data Recovery through Unsupervised Regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2010 | CVPR | Parametric dimensionality reduction by unsupervised regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2010 | ICDM | Supervised Link Prediction Using Multiple Sources. | Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon |
| 2010 | RecSys | Affiliation recommendation using auxiliary networks. | Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon |
| 2009 | ICDM | Clustering with Multiple Graphs. | Wei Tang, Zhengdong Lu, Inderjit S. Dhillon |
| 2009 | ICML | Geometry-aware metric learning. | Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon |
| 2009 | RecSys | A spatio-temporal approach to collaborative filtering. | Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon |
| 2008 | CVPR | Dimensionality reduction by unsupervised regression. | Miguel . Carreira-Perpin, Zhengdong Lu |
| 2008 | CVPR | Constrained spectral clustering through affinity propagation. | Zhengdong Lu, Miguel . Carreira-Perpin |
| 2008 | ICASSP | Detecting mild cognitive loss with continuous monitoring of medication adherence. | Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen |
| 2008 | ICML | A reproducing kernel Hilbert space framework for pairwise time series distances. | Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus |