Jie Liu
Ph.D.,Professor
College of Artificial Intelligence
NanKai University
15th Building，Nankai University，Jinnan，Tianjin，
China
Email : jliu AT nankai.edu.cn
About Me
Jie Liu received his Ph.D. degree in computer science from Nankai University, Tianjin, China. He is a professor in the College of Artificial Intelligence, Nankai University. His research interests include machine learning, pattern recognition, information retrieval, and data mining. He has published several papers in refereed proceedings and journals, such as KDD, AAAI, ACL, IJCAI, CIKM, ICDM, TKDE, TIST, KAIS, Pattern Recognition, Information Sciences, Springer WWW, etc.
Experience
Professor, School of Artificial Intelligence, Nankai University, Dec. 2017~ present.
Associate Professor, School of Computer and Control Engineering, Nankai University, Dec. 2012~ Dec. 2017.
Visiting Scholar, MSIS Rutgers Business School, Rutgers University. Nov. 2015~Nov. 2016.
Visiting Scholar, Natural Language Computing Group, Microsoft Research Asia. Aug. 2012~Feb. 2013.
Intern, NEC Research Laboratories America, Inc. Sep. 2007~Mar. 2008.
Visiting Student, University of California, Santa Cruz. Sep. 2007~Sep. 2008.
Honors
NLPCC 2018 Best paper！- We won the 2017 CCF Big Data & Computing Intelligence Contest!
- We won the 2017 the FIRST Prize of China Collegiate Computing Contest- Mobile Application Innovation Contest!
- ICMLC 2015 Best paper.
- NLPCC 2016 Best paper.
- China Collegiate Computing Contest, Mobile Application Inovation Contest, Winning Prize
- NLPCC 2014 Share Task on Sentiment Classification with Deep Learning, the First and Second place on Chinese and English datasets, respectively.
- ICDAR Book structure competition, Second place
Research interests
Developing machine learning algorithms, including deep learning models, topic models and structured prediction models, for analyzing large-scale data with applications to social media analysis, text mining, and vision-based recognition.
Research Grants (Principal Investigator)
Natural Science Foundation of China. 2017.1 ~ 2019.12
Science and Technology Planning Project of Tianjin. 2014.9 ~ 2016.9
Information Technology Research Base of Civil Aviation Administration of China, 2013.1 ~ 2016.12
Tianjin Grid Big Data Mining, 2015.1 ~ 2016.1
Tianjin Natural Science Foundation. 2014.5 ~ 2017.5
Natural Science Foundation of China. 2012.1~ 2014.12
Collaborative Project with Baidu Co., 2011.10~ 2012.10
Publications
2023
ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction
Jiaying Xie, Kai Dang, Jie Liu*, Enlei Liang.
Computer Speech & Language, To Appear.
Question-Answer Pairs Generation Based on Interaction-Guided Joint Abstractive Model
Jie Liu, Shaoxin Lin, Shanpeng Wang.
Chinese Journal of Computers(计算机学报), To Appear.
ECOD: A Multi-Modal Dataset for Intelligent Adjudication of E-commerce Order Disputes
Liyi Chen, Shuaipeng Liu, Hailei Yan, Jie Liu*, Lijie Wen and Guanglu Wan.
In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2023.
Network Embedding with Dual Generation Tasks
Na Li, Zhicheng He, Jie Liu*, Jiaying Xie.
IEEE Transactions on Knowledge and Data Engineering, TKDE 2022.
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans
Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu.
The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
Online Selfboost Learning for Chinese Grammatical Error Correction
Jiaying Xie, Kai Dang, Jie Liu*.
In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2022.
Multi-Scale Distillation from Multiple Graph Neural Networks
Chunhai Zhang, Jie Liu*, Kai Dang, Wenzhang Zhang.
The 36th AAAI Conference on Artificial Intelligence (AAAI 2022).
2021
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Shaowei Chen, Yu Wang, Jie Liu*, Yuelin Wang.
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021).[code]
A Comprehensive Survey of Grammatical Error Correction
Wang Yu, Wang Yuelin, Dang Kai, and Liu Jie*.
In Acm Transactions on Intelligent Systems and Technology, TIST 2021.
Uncertainty-aware Self-paced Learning for Grammatical Error Correction
Dang Kai, Xie Jiaying, and Liu Jie*.
In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2021.
A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification
Bingquan Wang, Jie Liu*, Shaowei Chen,etc.
In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2021.
Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction
Liting Liu, Wenzheng Zhang, Jie Liu*,etc.
International Joint Conference on Neural Networks 2021.
Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information
Liting Liu, Wenzheng Zhang, Jie Liu*,etc.
International Joint Conference on Neural Networks 2021.
Generalizing Message Passing Neural Networks to Heterophily using Position Information
Wenzheng Zhang, Jie Liu*, Liting Liu.
30th International Conference on Artificial Neural Networks, ICANN 2021.
Leveraging Adversarial Training to Facilitate Grammatical Error Correction
Dang Kai, Xie Jiaying, and Liu Jie*.
In International Conference on Artificial Neural Networks, ICANN 2021.
Leveraging Adversarial Training to Facilitate Grammatical Error Correction
Dang Kai, Xie Jiaying, and Liu Jie*.
In International Conference on Artificial Neural Networks, ICANN 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.
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
Jie Liu*, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, and Tong Xu.
The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)[code&data]
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
Liting Liu, Jie Liu*, Wenzheng Zhang, Ziming Chi, Wenxuan Shi, and Yalou Huang.
In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)[code]
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
Shaowei Chen, Jie Liu*, Yu Wang, Wenzheng Zhang, and Ziming Chi.
The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)[code]
Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction
Peng Chen, Shaowei Chen, and Jie Liu*
The 9th CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC 2020)
2019
Content to Node: Self-Translation Network Embedding
Zhicheng He, Jie Liu*, Yuyuan Zeng, Lai Wei, and Yalou Huang.
IEEE Transactions on Knowledge and Data Engineering (TKDE 2019)[code]
Network Embedding with Dual Generation Tasks
Jie Liu, Na Li, Zhicheng He.
In 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
Learning Network-to-Network Model for Content-rich Network Embedding
Zhicheng He, Jie Liu*, and Yalou Huang.
In the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019)[code]
Heterogeneous Item Recommendation for the Air Travel Industry
Zhicheng He, Jie Liu*, Guanghui Xu, and Yalou Huang.
In the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019)
2018
Dropout Non-negative Matrix Factorization
Zhicheng He, Jie Liu*, Caihua Liu, Yuan Wang, Airu Yin, and Yalou Huang.
In Knowledge and Information Systems (KAIS).
Hierarchical Attention Based Semi-Supervised Network Representation Learning
Jie Liu*, Junyi Deng, Guanghui Xu, and Zhicheng He.
NLPCC 2018. In press. Best paper
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction
Jie Liu*, Shaowei Chen, Zhicheng He, and Huipeng Chen.
NLPCC 2018. In press.
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model
Jie Liu*, Zhicheng He, and Yalou Huang.
In the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018)
Content to Node: Self-translation Network Embedding
Jie Liu*, Zhicheng He, Lai Wei, and Yalou Huang.
In the 24th ACM SIGKDD International Conference on Knowledge Discovery \ Data Mining (KDD 2018)[code]
2017
Personalized Air Travel Prediction: A Multi-factor Perspective
Jie Liu*, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, and Yalou Huang.
In ACM Transactions on Intelligent Systems and Technology (TIST)
Multi-granularity sequence labeling model for acronym expansion identification
Jie Liu*, Caihua Liu, Yalou Huang.
In Inf. Sci. 378: 462-474 (2017)
Topic Aware Neural Response Generation.
Chen Xing, Wei Wu, Yu Wu, Jie Liu*, Yalou Huang, Ming Zhou, Wei-Ying Ma.
In AAAI 2017: 3351-3357
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.
In IEEE Transactions on Knowledge and Data Engineering (TKDE)
Convolutional Neural Random Fields forAction Recognition.
Caihua Liu, Jie Liu*, ZhichengHe, Yujia Zhai, Qinghua Hu, Yalou Huang.
In Pattern Recognition 59: 213-224 (2016)n
Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter.
Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma.
In AAAI 2016:2666-2672
Dropout Non-negative Matrix Factorization for Independent Feature Learning.
Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang.
In NLPCC/ICCPOL 2016: 201-212 Best paper
2015
Fine-Grained Acronym Expansion Identification Using Latent-State Neural Structured Prediction Model.
Jie Liu, Caihua Liu, Qinghua Hu, Yalou Huang.
In ICMLC,2015.
ICMLC 2015 Best paper awards
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.
In TREC,2015.
2014
Finding similar queries based on query representation analysis.
Yuan Wang, Jie Liu, Jimeng Chen, Yalou Huang.
In World Wide Web 17(5): 1161-1188 (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.
In APWeb 2014: 610-618
Hashtag Graph Based Topic Model for Tweet Mining.
Yuan Wang, Jie Liu, Jishi Qu, Yalou Huang, Jimeng Chen, Xia Feng.
In ICDM 2014: 1025-1030
Word Vector Modeling for Sentiment Analysis of Product Reviews.
Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li.
In NLPCC 2014: 168-180
2013
Rank hash similarity for fast similarity search.
Min Lu, Yalou Huang, Maoqiang Xie, Jie Liu.
In Inf. Process. Manage. 49(1): 158-168 (2013).
Supervised rank aggregation based on query similarity for document retrieval.
Yang Wang, Yalou Huang, Xiaodong Pang, Min Lu, Maoqiang Xie, Jie Liu
In Soft Comput. 17(3): 421-429 (2013)
Handwritten character recognition with sequential convolutional neural network.
Caihua Liu, Jie Liu, Fang Yu, Yalou Huang, Jimeng Chen.
In ICMLC 2013: 291-296
Modeling Semantic and Behavioral Relations for Query Suggestion.
Jimeng Chen, Yuan Wang, Jie Liu, Yalou Huang.
In WAIM 2013: 666-678
2011
Learning conditional random fields with latent sparse features for acronym expansion finding.
Jie Liu, Jimeng Chen, Yi Zhang, Yalou Huang.
In CIKM 2011: 867-872
Semi-supervised training for conditional random fields with pseudo auxiliary task.
Jie Liu, Yalou Huang.
In ICMLC 2011: 779-784
Efficient top-k support documents for expert search using relationship in a social network.
Jimeng Chen, Jie Liu, Yalou Huang, Min Lu.
In ICMLC 2011: 1479-1484
TOC Structure Extraction from OCR-ed Books.
Caihua Liu, Jiajun Chen, Xiaofeng Zhang, Jie Liu, Yalou Huang.
In INEX 2011: 98-108
Expansion Finding for Given Acronyms Using Conditional Random Fields.
Jie Liu, Jimeng Chen, Tianbi Liu, Yalou Huang.
In WAIM 2011: 191-200
2010
Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank.
Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang.
In AIRS 2010: 203-210
Training Conditional Random Fields Using Transfer Learning for Gesture Recognition.
Jie Liu, Kai Yu, Yi Zhang, Yalou Huang.
In ICDM 2010: 314-323
Cost-Sensitive Listwise Ranking Approach.
Min Lu, Maoqiang Xie, Yang Wang, Jie Liu, Yalou Huang.
In PAKDD (1) 2010: 358-366
Service
AAAI 2018-2023 SPC/PC Member.
IJCAI 2017-2023 SPC/PC Member.
KDD 2017-2023 SPC/PC Member.
CCML 2017 PC Member.
CCF Big Data 2015, PC member
25th IEA-AIE 2012, Special Session Chair.
ICMLC 2011 Session Chair.
TPAMI, TKDE, TKDD, World Wide Web Journal, Reviewer.