Jie Liu

发表

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

Yalou Huang, Liting Liu, Wenzheng Zhang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Dropout non-negative matrix factorization

Yalou Huang, Airu Yin, Caihua Liu, 2018, Knowledge and Information Systems.

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

Wei-Ying Ma, Yalou Huang, Yuan Wang, 2016, AAAI.

Hashtag Graph Based Topic Model for Tweet Mining

Yalou Huang, Xia Feng, Yuan Wang, 2014, 2014 IEEE International Conference on Data Mining.

A query-level active sampling approach for learning to rank

Yang Wang, Min Lu, Zhen Liao, 2009, 2009 International Conference on Machine Learning and Cybernetics.

A Review and Outlook for Relation Extraction

Jie Liu, Yu Yan, Haolin Sun, 2021, CSAE.

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

Tong Xu, Jie Liu, Jiaxin Zhang, 2020, IJCAI.

Topic Augmented Neural Response Generation with a Joint Attention Mechanism pdf

Wei-Ying Ma, Ming Zhou, Yu Wu, 2016, ArXiv.

Topic Aware Neural Response Generation

Wei-Ying Ma, Ming Zhou, Yu Wu, 2016, AAAI.

A Comprehensive Survey of Grammar Error Correction pdf

Yu Wang, Jie Liu, Zhuo Liu, 2020, ArXiv.

Personalized Paper Recommendation Based on User Historical Behavior

Yalou Huang, Yuan Wang, Jie Liu, 2012 .

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

Yalou Huang, Xia Feng, Yuan Wang, 2016, IEEE Transactions on Knowledge and Data Engineering.

Learning conditional random field with hierarchical representations for dialogue act recognition

Qinghua Hu, Yuan Jia, Jie Liu, 2014, INTERSPEECH.

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

Jie Liu, Zhicheng He, Huipeng Chen, 2018, NLPCC.

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

Jie Liu, Wenzheng Zhang, Yalou Huang, 2020, ACL.

Multi-granularity sequence labeling model for acronym expansion identification

Yalou Huang, Jie Liu, Caihua Liu, 2017, Inf. Sci..

Expansion Finding for Given Acronyms Using Conditional Random Fields

Yalou Huang, Jie Liu, Jimeng Chen, 2011, WAIM.

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

Yalou Huang, Jie Liu, Yalou Huang, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Training Conditional Random Fields Using Transfer Learning for Gesture Recognition

Yi Zhang, Yalou Huang, Kai Yu, 2010, 2010 IEEE International Conference on Data Mining.

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction pdf

Yu Wang, Jie Liu, Shaowei Chen, 2021, AAAI.

Network Embedding With Dual Generation Tasks

Zhicheng He, Jie Liu, Na Li, 2019, IEEE Transactions on Knowledge and Data Engineering.

Content to Node: Self-Translation Network Embedding

Jie Liu, Yalou Huang, Zhicheng He, 2018, IEEE Transactions on Knowledge and Data Engineering.

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

Qinghua Hu, Yuan Jia, Jie Liu, 2015, Neurocomputing.

Enhanced semantic representation learning for implicit discourse relation classification

Jie Liu, Yuhao Ma, Jianan Zhu, 2021, Applied Intelligence.

Attention-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Classification with Multi-Head Attention

Zhenfang Zhu, Peiyu Liu, Jie Liu, 2021, Applied Sciences.

Graph Convolutional Networks with Bidirectional Attention for Aspect-Based Sentiment Classification

Zhenfang Zhu, Peiyu Liu, Jie Liu, 2021, Applied Sciences.

Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction

Jie Liu, Peng Chen, Shaowei Chen, 2020, NLPCC.

Dropout Non-negative Matrix Factorization for Independent Feature Learning

Yalou Huang, Yuan Wang, Jie Liu, 2016, NLPCC/ICCPOL.

Hierarchical Attention Based Semi-supervised Network Representation Learning

Jie Liu, Zhicheng He, Junyi Deng, 2018, NLPCC.

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

Yalou Huang, Yuan Wang, Jie Liu, 2014, APWeb.

Leveraging maximum entropy and correlation on latent factors for learning representations

Jie Liu, Fuzhen Zhuang, Zhicheng He, 2020, Neural Networks.

Dropout non-negative matrix factorization

Jie Liu, Yalou Huang, Yuan Wang, 2018, Knowledge and Information Systems.

Towards Fully 8-bit Integer Inference for the Transformer Model

Tong Xu, Jiaxin Zhang, Tongran Liu, 2020, IJCAI.

Few-Shot Legal Knowledge Question Answering System for COVID-19 Epidemic

Xudong Luo, Jiaye Wu, Jie Liu, 2020, ACAI.

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

Na Li, Yalou Huang, Zhicheng He, 2019, KDD.

Supervised rank aggregation based on query similarity for document retrieval

Yang Wang, Yalou Huang, Maoqiang Xie, 2013, Soft Comput..

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank

Yang Wang, Maoqiang Xie, Yalou Huang, 2010, AIRS.

Cost-Sensitive Listwise Ranking Approach

Yang Wang, Maoqiang Xie, Yalou Huang, 2010, PAKDD.

Maoqiang Xie, Yalou Huang, Min Lu, 2013, Inf. Process. Manag..

Handwritten character recognition with sequential convolutional neural network

Jie Liu, Fang Yu, Caihua Liu, 2013, 2013 International Conference on Machine Learning and Cybernetics.