Zhengdong Lu - RankMe

102 papers A* 24A 4B 1Misc 1Journal 49Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints. CoRR Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng
2025	—	`conf`	PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. ACL (1) Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen
2025	J	`jnl`	Subkv: Quantizing Long Context KV Cache for Sub-Billion Parameter Language Models on Edge Devices. Softw. Pract. Exp. Ziqian Zeng, Tao Zhang, Zhengdong Lu, Wenjun Li, Huiping Zhuang, Hongen Shao, Sin G. Teo, Xiaofeng Zou
2025	J	`jnl`	Zero-shot event argument extraction by disentangling trigger from argument and role. Int. J. Mach. Learn. Cybern. Zhengdong Lu, Ziqian Zeng, Jianwei Wang, Hanlin Wang, Weikai Lu, Huiping Zhuang
2024	J	`jnl`	Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. CoRR Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen
2024	J	`jnl`	PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. CoRR Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen
2024	—	`conf`	Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator. LREC/COLING Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang
2023	J	`jnl`	Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR Xianggen Liu, Zhengdong Lu, Lili Mou
2023	—	`ch.`	Weakly Supervised Reasoning by Neuro-Symbolic Approaches. Compendium of Neurosymbolic Artificial Intelligence Xianggen Liu, Zhengdong Lu, Lili Mou
2022	J	`jnl`	A Low Voltage Stress PFC Rectifier Based on Nonoverlapping Strategy Using Resonant Switched-Capacitor Converter. IEEE Trans. Ind. Electron. Zhangyong Chen, Yubo Han, Yunfeng Wu, Zhengdong Lu, Xiangyu Liu
2022	J	`jnl`	ZoomNet for Topic-Oriented Fragment Recognition in Long Documents. IEEE Access Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
2020	J	`jnl`	Finding decision jumps in text classification. Neurocomputing Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2020	J	`jnl`	Outline Extraction with Question-Specific Memory Cells. ACM Trans. Asian Low Resour. Lang. Inf. Process. Jingxuan Yang, Haotian Cui, Si Li, Sheng Gao, Jun Guo, Zhengdong Lu
2019	—	`conf`	A Deep Learning Based Reasoner for Global Consistency in Named Entity Recognition. ICNC-FSKD Xiaoxiao Yin, Ruifang Liu, Daqi Zheng, Zhengdong Lu
2019	—	`conf`	A Prism Module for Semantic Disentanglement in Name Entity Recognition. ACL (1) Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li
2019	J	`jnl`	Self-Balanced Dropout. CoRR Shen Li, Chenhao Su, Renfen Hu, Zhengdong Lu
2019	J	`jnl`	Volterra-series-based equivalent nonlinear system method for subharmonic vibration systems. Int. J. Syst. Sci. Bin Xiao, Zhengdong Lu, Shuang-xia Shi, Chao Gao, Li-hua Cao
2018	J	`jnl`	Generalize Symbolic Knowledge With Neural Rule Engine. CoRR Shen Li, Hengru Xu, Zhengdong Lu
2018	J	`jnl`	JUMPER: Learning When to Make Classification Decisions in Reading. CoRR Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2018	A*	`conf`	Jumper: Learning When to Make Classification Decision in Reading. IJCAI Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
2018	J	`jnl`	Neural Entity Reasoner for Global Consistency in NER. CoRR Xiaoxiao Yin, Daqi Zheng, Zhengdong Lu, Ruifang Liu
2018	—	`conf`	Object-oriented Neural Programming (OONP) for Document Understanding. ACL (1) Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng
2018	J	`jnl`	Zooming Network. CoRR Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
2017	J	`jnl`	Context Gates for Neural Machine Translation. Trans. Assoc. Comput. Linguistics Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li
2017	—	`conf`	Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2017	A*	`conf`	Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2017	—	`conf`	Deep Neural Machine Translation with Linear Associative Unit. ACL (1) Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu
2017	J	`jnl`	Deep Neural Machine Translation with Linear Associative Unit. CoRR Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu
2017	J	`jnl`	Event Identification as a Decision Process with Non-linear Representation of Text. CoRR Yukun Yan, Daqi Zheng, Zhengdong Lu, Sen Song
2017	A*	`conf`	Neural Machine Translation Advised by Statistical Machine Translation. AAAI Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang
2017	J	`jnl`	Object-oriented Neural Programming (OONP) for Document Understanding. CoRR Zhengdong Lu, Haotian Cui, Xianggen Liu, Yukun Yan, Daqi Zheng
2016	J	`jnl`	Context Gates for Neural Machine Translation. CoRR Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li
2016	J	`jnl`	Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin
2016	J	`jnl`	Coverage-based Neural Machine Translation. CoRR Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
2016	A*	`conf`	Deep Learning for Information Retrieval. SIGIR Hang Li, Zhengdong Lu
2016	—	`conf`	Incorporating Copying Mechanism in Sequence-to-Sequence Learning. ACL (1) Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
2016	J	`jnl`	Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CoRR Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li
2016	B	`conf`	Interactive Attention for Neural Machine Translation. COLING Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
2016	J	`jnl`	Interactive Attention for Neural Machine Translation. CoRR Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu
2016	A*	`conf`	Learning to Answer Questions from Image Using Convolutional Neural Network. AAAI Lin Ma, Zhengdong Lu, Hang Li
2016	A*	`conf`	Memory-enhanced Decoder for Neural Machine Translation. EMNLP Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
2016	J	`jnl`	Memory-enhanced Decoder for Neural Machine Translation. CoRR Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
2016	—	`conf`	Modeling Coverage for Neural Machine Translation. ACL (1) Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li
2016	A*	`conf`	Neural Enquirer: Learning to Query Tables in Natural Language. IJCAI Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
2016	A*	`conf`	Neural Generative Question Answering. IJCAI Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
2016	J	`jnl`	Neural Machine Translation Advised by Statistical Machine Translation. CoRR Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang
2016	J	`jnl`	Neural Machine Translation with External Phrase Memory. CoRR Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
2016	J	`jnl`	Neural enquirer: learning to query tables in natural language. IEEE Data Eng. Bull. Zhengdong Lu, Hang Li, Ben Kao
2016	—	`conf`	Overview of the NTCIR-12 Short Text Conversation Task. NTCIR Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao
2016	—	`conf`	Recent Progress in Deep Learning for NLP. HLT-NAACL Tutorials Zhengdong Lu, Hang Li
2015	—	`conf`	Context-Dependent Translation Selection Using Convolutional Neural Network. ACL (2) Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen
2015	J	`jnl`	Context-Dependent Translation Selection Using Convolutional Neural Network. CoRR Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li
2015	J	`jnl`	Convolutional Neural Network Architectures for Matching Natural Language Sentences. CoRR Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
2015	—	`conf`	Encoding Source Language with Convolutional Neural Network for Machine Translation. ACL (1) Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
2015	J	`jnl`	Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu
2015	J	`jnl`	Learning to Answer Questions From Image using Convolutional Neural Network. CoRR Lin Ma, Zhengdong Lu, Hang Li
2015	A*	`conf`	Multimodal Convolutional Neural Networks for Matching Image and Sentence. ICCV Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
2015	J	`jnl`	Multimodal Convolutional Neural Networks for Matching Image and Sentence. CoRR Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li
2015	J	`jnl`	Neural Enquirer: Learning to Query Tables. CoRR Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao
2015	J	`jnl`	Neural Generative Question Answering. CoRR Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li
2015	—	`conf`	Neural Responding Machine for Short-Text Conversation. ACL (1) Lifeng Shang, Zhengdong Lu, Hang Li
2015	J	`jnl`	Neural Responding Machine for Short-Text Conversation. CoRR Lifeng Shang, Zhengdong Lu, Hang Li
2015	J	`jnl`	Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu
2015	A*	`conf`	Self-Adaptive Hierarchical Sentence Model. IJCAI Han Zhao, Zhengdong Lu, Pascal Poupart
2015	J	`jnl`	Self-Adaptive Hierarchical Sentence Model. CoRR Han Zhao, Zhengdong Lu, Pascal Poupart
2015	A*	`conf`	Syntax-Based Deep Matching of Short Texts. IJCAI Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
2015	J	`jnl`	Syntax-based Deep Matching of Short Texts. CoRR Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu
2015	—	`conf`	Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li
2015	J	`jnl`	Towards Neural Network-based Reasoning. CoRR Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong
2015	—	`conf`	genCNN: A Convolutional Architecture for Word Sequence Prediction. ACL (1) Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu
2014	A*	`conf`	A Parallel and Efficient Algorithm for Learning to Match. ICDM Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014	J	`jnl`	A Parallel and Efficient Algorithm for Learning to Match. CoRR Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014	J	`jnl`	An Information Retrieval Approach to Short Text Conversation. CoRR Zongcheng Ji, Zhengdong Lu, Hang Li
2014	—	`conf`	Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen
2013	A*	`conf`	A Dataset for Research on Short-Text Conversations. EMNLP Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen
2013	—	`conf`	A Deep Architecture for Matching Short Texts. NIPS Zhengdong Lu, Hang Li
2013	A*	`conf`	Collaborative boosting for activity classification in microblogs. KDD Yangqiu Song, Zhengdong Lu, Cane Wing-Ki Leung, Qiang Yang
2013	J	`jnl`	Learning bilinear model for matching queries and documents. J. Mach. Learn. Res. Wei Wu, Zhengdong Lu, Hang Li
2012	A*	`conf`	Clustered embedding of massive social networks. SIGMETRICS Han Hee Song, Berkant Savas, Tae Won Cho, Vacha Dave, Zhengdong Lu, Inderjit S. Dhillon, Yin Zhang, Lili Qiu
2012	A*	`conf`	Finding web appearances of social network users via latent factor model. SIGIR Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie
2011	—	`conf`	A Denoising View of Matrix Completion. NIPS Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2011	J	`jnl`	Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. Neural Comput. Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye
2011	A*	`conf`	Manifold Learning and Missing Data Recovery through Unsupervised Regression. ICDM Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2011	J	`jnl`	Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon
2010	A	`conf`	Affiliation recommendation using auxiliary networks. RecSys Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon
2010	A*	`conf`	Parametric dimensionality reduction by unsupervised regression. CVPR Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2010	A*	`conf`	Supervised Link Prediction Using Multiple Sources. ICDM Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon
2009	A	`conf`	A spatio-temporal approach to collaborative filtering. RecSys Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon
2009	A*	`conf`	Clustering with Multiple Graphs. ICDM Wei Tang, Zhengdong Lu, Inderjit S. Dhillon
2009	A*	`conf`	Geometry-aware metric learning. ICML Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
2008	A*	`conf`	A reproducing kernel Hilbert space framework for pairwise time series distances. ICML Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus
2008	A*	`conf`	Constrained spectral clustering through affinity propagation. CVPR Zhengdong Lu, Miguel Á. Carreira-Perpiñán
2008	Misc	`conf`	Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen
2008	A*	`conf`	Dimensionality reduction by unsupervised regression. CVPR Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2008	—	`conf`	Hierarchical Fisher Kernels for Longitudinal Data. NIPS Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye
2007	J	`jnl`	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 Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista
2007	J	`jnl`	Fast neural network surrogates for very high dimensional physics-based models in computational oceanography. Neural Networks Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista
2007	J	`jnl`	Penalized Probabilistic Clustering. Neural Comput. Zhengdong Lu, Todd K. Leen
2007	—	`conf`	People Tracking with the Laplacian Eigenmaps Latent Variable Model. NIPS Zhengdong Lu, Miguel Á. Carreira-Perpiñán, Cristian Sminchisescu
2007	A	`conf`	Semi-supervised Clustering with Pairwise Constraints: A Discriminative Approach. AISTATS Zhengdong Lu
2007	A	`conf`	The Laplacian Eigenmaps Latent Variable Model. AISTATS Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2004	—	`conf`	Semi-supervised Learning with Penalized Probabilistic Clustering. NIPS Zhengdong Lu, Todd K. Leen