Jie Liu

According to our database, Jie Liu authored at least 56 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive fine-tuning for low-resource graph-level transfer learning.

Yutai Duan, Jie Liu, Shaowei Chen, Jianhua Wu

Inf. Sci., February, 2024

ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction.

Jiaying Xie, Kai Dang, Jie Liu, Enlei Liang

Comput. Speech Lang., January, 2024

2023

Network Embedding With Dual Generation Tasks.

Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie

IEEE Trans. Knowl. Data Eng., July, 2023

2022

ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification.

Jiaxin Zhang, Jie Liu, Shaowei Chen, Shaoxin Lin, Bingquan Wang, Shanpeng Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Online Self-boost Learning for Chinese Grammatical Error Correction.

Jiaying Xie, Kai Dang, Jie Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2022

DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans.

Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Content to Node: Self-Translation Network Embedding.

Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang

IEEE Trans. Knowl. Data Eng., 2021

A Comprehensive Survey of Grammatical Error Correction.

Yu Wang, Yuelin Wang, Kai Dang, Jie Liu, Zhuo Liu

ACM Trans. Intell. Syst. Technol., 2021

A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification.

Bingquan Wang, Jie Liu, Shaowei Chen, Xiao Ling, Shanpeng Wang, Wenzheng Zhang, Liyi Chen, Jiaxin Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Uncertainty-Aware Self-paced Learning for Grammatical Error Correction.

Kai Dang, Jiaying Xie, Jie Liu, Shaowei Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information.

Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang

Proceedings of the International Joint Conference on Neural Networks, 2021

Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction.

Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang

Proceedings of the International Joint Conference on Neural Networks, 2021

Leveraging Adversarial Training to Facilitate Grammatical Error Correction.

Kai Dang, Jiaying Xie, Jie Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction.

Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Leveraging maximum entropy and correlation on latent factors for learning representations.

Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang

Neural Networks, 2020

Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction.

Peng Chen, Shaowei Chen, Jie Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction.

Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation.

Liting Liu, Jie Liu, Wenzheng Zhang, Ziming Chi, Wenxuan Shi, Yalou Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction.

Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang, Ziming Chi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Dropout non-negative matrix factorization.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Knowl. Inf. Syst., 2019

Heterogeneous Item Recommendation for the Air Travel Industry.

Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Learning Network-to-Network Model for Content-rich Network Embedding.

Zhicheng He, Jie Liu, Na Li, Yalou Huang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Network Embedding with Dual Generation Tasks.

Jie Liu, Na Li, Zhicheng He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Personalized Air Travel Prediction: A Multi-factor Perspective.

Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang

ACM Trans. Intell. Syst. Technol., 2018

Hierarchical Attention Based Semi-supervised Network Representation Learning.

Jie Liu, Junyi Deng, Guanghui Xu, Zhicheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction.

Jie Liu, Shaowei Chen, Zhicheng He, Huipeng Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Content to Node: Self-Translation Network Embedding.

Jie Liu, Zhicheng He, Lai Wei, Yalou Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model.

Jie Liu, Zhicheng He, Yalou Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Multi-granularity sequence labeling model for acronym expansion identification.

Jie Liu, Caihua Liu, Yalou Huang

Inf. Sci., 2017

Topic Aware Neural Response Generation.

Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs.

Yuan Wang, Jie Liu, Yalou Huang, Xia Feng

IEEE Trans. Knowl. Data Eng., 2016

Convolutional neural random fields for action recognition.

Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang

Pattern Recognit., 2016

Topic Augmented Neural Response Generation with a Joint Attention Mechanism.

Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma

CoRR, 2016

Dropout Non-negative Matrix Factorization for Independent Feature Learning.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter.

Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition.

Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia

Neurocomputing, 2015

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web.

Yuan Wang, Jie Liu, Yalou Huang, Yongfeng Zhang, Yi Zhang, Xintong Zhang

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Fine-grained acronym expansion identification using latent-state neural structured prediction model.

Jie Liu, Caihua Liu, Qemghua Hu, Yalou Huang

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Finding similar queries based on query representation analysis.

Yuan Wang, Jie Liu, Jimeng Chen, Yalou Huang

World Wide Web, 2014

Word Vector Modeling for Sentiment Analysis of Product Reviews.

Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li

Proceedings of the Natural Language Processing and Chinese Computing, 2014

Learning conditional random field with hierarchical representations for dialogue act recognition.

Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia

Proceedings of the INTERSPEECH 2014, 2014

Hashtag Graph Based Topic Model for Tweet Mining.

Yuan Wang, Jie Liu, Jishi Qu, Yalou Huang, Jimeng Chen, Xia Feng

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

What to Tag Your Microblog: Hashtag Recommendation Based on Topic Analysis and Collaborative Filtering.

Yuan Wang, Jishi Qu, Jie Liu, Jimeng Chen, Yalou Huang

Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013

Supervised rank aggregation based on query similarity for document retrieval.

Yang Wang, Yalou Huang, Xiaodong Pang, Min Lu, Maoqiang Xie, Jie Liu

Soft Comput., 2013

Rank hash similarity for fast similarity search.

Min Lu, Yalou Huang, Maoqiang Xie, Jie Liu

Inf. Process. Manag., 2013

Modeling Semantic and Behavioral Relations for Query Suggestion.

Jimeng Chen, Yuan Wang, Jie Liu, Yalou Huang

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Handwritten character recognition with sequential convolutional neural network.

Caihua Liu, Jie Liu, Fang Yu, Yalou Huang, Jimeng Chen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

PSCAN: A Parallel Structural Clustering Algorithm for networks.

Jiajun Chen, Jimeng Chen, Jie Liu, Va-Lou Huang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2011

Expansion Finding for Given Acronyms Using Conditional Random Fields.

Jie Liu, Jimeng Chen, Tianbi Liu, Yalou Huang

Proceedings of the Web-Age Information Management - 12th International Conference, 2011

TOC Structure Extraction from OCR-ed Books.

Caihua Liu, Jiajun Chen, Xiaofeng Zhang, Jie Liu, Yalou Huang

Proceedings of the Focused Retrieval of Content and Structure, 2011

Semi-supervised training for conditional random fields with pseudo auxiliary task.

Jie Liu, Yalou Huang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Efficient top-k support documents for expert search using relationship in a social network.

Jimeng Chen, Jie Liu, Yalou Huang, Min Lu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Learning conditional random fields with latent sparse features for acronym expansion finding.

Jie Liu, Jimeng Chen, Yi Zhang, Yalou Huang

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Cost-Sensitive Listwise Ranking Approach.

Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Training Conditional Random Fields Using Transfer Learning for Gesture Recognition.

Jie Liu, Kai Yu, Yi Zhang, Yalou Huang

Proceedings of the ICDM 2010, 2010

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank.

Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang

Proceedings of the Information Retrieval Technology, 2010