Jie Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 33

Top Topics

Information Extraction

Error Correction

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yutai Duan, Jie Liu, Shaowei Chen, Jianhua Wu
Contrastive fine-tuning for low-resource graph-level transfer learning. Inf. Sci. 659 (2024)
Shaowei Chen, Shuaipeng Liu, Jie Liu
Type-Specific Modality Alignment for Multi-Modal Information Extraction. IEEE Signal Process. Lett. 31 (2024)
Jiaying Xie, Kai Dang, Jie Liu, Enlei Liang
ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction. Comput. Speech Lang. 83 (2024)
Yutai Duan, Jie Liu, Shaowei Chen, Liyi Chen, Jianhua Wu
G-Prompt: Graphon-based Prompt Tuning for graph classification. Inf. Process. Manag. 61 (2) (2024)
Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie
Network Embedding With Dual Generation Tasks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jiaying Xie, Kai Dang, Jie Liu
Online Self-boost Learning for Chinese Grammatical Error Correction. NLPCC (1) (2022)
Kai Dang, Jiaying Xie, Jie Liu
Leveraging Adversarial Training to Facilitate Grammatical Error Correction. ICANN (1) (2021)
Yu Wang, Yuelin Wang, Kai Dang, Jie Liu, Zhuo Liu
A Comprehensive Survey of Grammatical Error Correction. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang
Content to Node: Self-Translation Network Embedding. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang
Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information. IJCNN (2021)
Kai Dang, Jiaying Xie, Jie Liu, Shaowei Chen
Uncertainty-Aware Self-paced Learning for Grammatical Error Correction. NLPCC (1) (2021)
Liting Liu, Wenzheng Zhang, Jie Liu, Wenxuan Shi, Yalou Huang
Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction. IJCNN (2021)
Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang
Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks 131 (2020)
Peng Chen, Shaowei Chen, Jie Liu
Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction. NLPCC (1) (2020)
Liting Liu, Jie Liu, Wenzheng Zhang, Ziming Chi, Wenxuan Shi, Yalou Huang
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation. ACL (2020)
Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction. IJCAI (2020)
Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang, Ziming Chi
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. ACL (2020)
Jie Liu, Na Li, Zhicheng He
Network Embedding with Dual Generation Tasks. IJCAI (2019)
Zhicheng He, Jie Liu, Na Li, Yalou Huang
Learning Network-to-Network Model for Content-rich Network Embedding. KDD (2019)
Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
Dropout non-negative matrix factorization. Knowl. Inf. Syst. 60 (2) (2019)
Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang
Heterogeneous Item Recommendation for the Air Travel Industry. PAKDD (2) (2019)
Jie Liu, Junyi Deng, Guanghui Xu, Zhicheng He
Hierarchical Attention Based Semi-supervised Network Representation Learning. NLPCC (1) (2018)
Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
Personalized Air Travel Prediction: A Multi-factor Perspective. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Jie Liu, Shaowei Chen, Zhicheng He, Huipeng Chen
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction. NLPCC (1) (2018)
Jie Liu, Zhicheng He, Lai Wei, Yalou Huang
Content to Node: Self-Translation Network Embedding. KDD (2018)
Jie Liu, Zhicheng He, Yalou Huang
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. IJCAI (2018)
Jie Liu, Caihua Liu, Yalou Huang
Multi-granularity sequence labeling model for acronym expansion identification. Inf. Sci. 378 (2017)
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma
Topic Aware Neural Response Generation. AAAI (2017)
Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma
Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter. AAAI (2016)
Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang
Convolutional neural random fields for action recognition. Pattern Recognit. 59 (2016)
Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma
Topic Augmented Neural Response Generation with a Joint Attention Mechanism. CoRR (2016)
Yuan Wang, Jie Liu, Yalou Huang, Xia Feng
Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs. IEEE Trans. Knowl. Data Eng. 28 (7) (2016)
Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
Dropout Non-negative Matrix Factorization for Independent Feature Learning. NLPCC/ICCPOL (2016)
Jie Liu, Caihua Liu, Qemghua Hu, Yalou Huang
Fine-grained acronym expansion identification using latent-state neural structured prediction model. ICMLC (2015)
Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia
Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. Neurocomputing 168 (2015)
Yuan Wang, Jie Liu, Yalou Huang, Yongfeng Zhang, Yi Zhang, Xintong Zhang
Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web. TREC (2015)
Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia
Learning conditional random field with hierarchical representations for dialogue act recognition. INTERSPEECH (2014)
Yuan Wang, Jie Liu, Jimeng Chen, Yalou Huang
Finding similar queries based on query representation analysis. World Wide Web 17 (5) (2014)
Yuan Wang, Jishi Qu, Jie Liu, Jimeng Chen, Yalou Huang
What to Tag Your Microblog: Hashtag Recommendation Based on Topic Analysis and Collaborative Filtering. APWeb (2014)
Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li
Word Vector Modeling for Sentiment Analysis of Product Reviews. NLPCC (2014)
Yuan Wang, Jie Liu, Jishi Qu, Yalou Huang, Jimeng Chen, Xia Feng
Hashtag Graph Based Topic Model for Tweet Mining. ICDM (2014)
Jiajun Chen, Jimeng Chen, Jie Liu, Va-Lou Huang
PSCAN: A Parallel Structural Clustering Algorithm for networks. ICMLC (2013)
Caihua Liu, Jie Liu, Fang Yu, Yalou Huang, Jimeng Chen
Handwritten character recognition with sequential convolutional neural network. ICMLC (2013)
Jimeng Chen, Yuan Wang, Jie Liu, Yalou Huang
Modeling Semantic and Behavioral Relations for Query Suggestion. WAIM (2013)
Yang Wang, Yalou Huang, Xiaodong Pang, Min Lu, Maoqiang Xie, Jie Liu
Supervised rank aggregation based on query similarity for document retrieval. Soft Comput. 17 (3) (2013)
Min Lu, Yalou Huang, Maoqiang Xie, Jie Liu
Rank hash similarity for fast similarity search. Inf. Process. Manag. 49 (1) (2013)
Jie Liu, Jimeng Chen, Yi Zhang, Yalou Huang
Learning conditional random fields with latent sparse features for acronym expansion finding. CIKM (2011)
Jimeng Chen, Jie Liu, Yalou Huang, Min Lu
Efficient top-k support documents for expert search using relationship in a social network. ICMLC (2011)
Jie Liu, Yalou Huang
Semi-supervised training for conditional random fields with pseudo auxiliary task. ICMLC (2011)
Caihua Liu, Jiajun Chen, Xiaofeng Zhang, Jie Liu, Yalou Huang
TOC Structure Extraction from OCR-ed Books. INEX (2011)
Jie Liu, Jimeng Chen, Tianbi Liu, Yalou Huang
Expansion Finding for Given Acronyms Using Conditional Random Fields. WAIM (2011)
Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang
Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank. AIRS (2010)
Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang
Cost-Sensitive Listwise Ranking Approach. PAKDD (1) (2010)
Jie Liu, Kai Yu, Yi Zhang, Yalou Huang
Training Conditional Random Fields Using Transfer Learning for Gesture Recognition. ICDM (2010)