个人简介
于你好啊获得计算机科学博士学位，目前于你好啊人工智能学院任教授。研究方向包括机器学习、模式识别、信息检索和数据挖掘等。 在KDD，AAAI，IJCAI，CIKM，ICDM，TKDE，TIST，KAIS，Pattern Recognition, Information Sciences,Springer WWW等国际顶级会议和期刊上发表论文多篇。
工作经历
2017.12~至今 教授 你好啊人工智能学院
2012.12~2017.12 副教授 你好啊计算机与控制工程学院
2015.11~2016.11 访问学者 罗格斯，新泽西州立大学
2012.8 ~2013.2 访问学者 微软亚洲研究院自然语言计算组
2007.9 ~2008.3 项目合作 NEC美国研究院
2007.9 ~2008.9 公派访问学者 加州大学，圣克鲁兹分校
荣誉
NLPCC 2018 Best paper- 2017 CCF“大数据与计算智能大赛” 一等奖、CCF综合特等奖、优秀指导教师奖
- 2017 全国高校计算机大赛移动应用创新赛 一等奖、优秀指导教师奖
- ICMLC 2015 Best paper.
- NLPCC 2016 Best paper.
- 2016 全国高校计算机大赛移动应用创新赛获奖
- NLPCC 2014 基于深度学习的情感分类任务 中文数据集下第一名，英文数据集下第二名
- ICDAR 2013 图书结构提取竞赛 第二名
研究兴趣
深度学习、主题模型、结构化预测模型等机器学习算法的理论研究，对于大规模数据应用程序的社交媒体分析，文本挖掘和和基于视觉的识别。
基金项目
国家自然科学基金 2017.1 ~ 2019.12
天津市科技支撑计划项目 2014.9 ~ 2016.9
中国民航信息技术科研基地 2013.1 ~ 2016.12
天津电网大数据挖掘 2015.1 ~ 2016.1
天津自然科学基金 2014.5 ~ 2017.5
国家自然科学基金 2012.1~ 2014.12
百度合作项目 2011.10~ 2012.10
出版论文
2026
Xingyang He, Jie Liu*, Shaowei Chen. Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2026.
Liwei Zheng, Xuemin Liu, Jie Liu*. NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons. Association for Computational Linguistics (ACL). 2026.
Fu Yan, Jie Liu*, Liang Guo, et al. An improved large language model and knowledge graph integration method for automated machining process base construction. Journal of Manufacturing Systems, 2026, 85: 318-337
2025
Xinhao Wu, Jialin Liu, Yutai Duan, Jie Liu*. Convolutional LoRA Aggregation for Unseen Tasks Adaptation. EMNLP 2025.
Yutai Duan, jie liu*, jianhua wu, jialin liu. Community-Aware Graph Transformer: Preserving Community Semantics for Effective Global Aggregation. ECML PKDD, 2025.
Xingyang He, Jie Liu*, Yutai Duan. 2D Transformer: Extending Large Language Models to Long-Context With Few Memory. IEEE Transactions on Neural Networks and Learning Systems(TNNLS). 2025.
Yutai Duana, Jie Liu*, Xingyang He, Yi Lv. Learning global dependencies via parallelized graph transformer with hybrid attention. KmowledeeBesed Syslums 327(2025)114157.
Yu Jin, Jie Liu*, Shaowei Chen. Multi-LoRA continual learning based instruction tuning framework for universal information extraction. Knowledge-Based Systems, Volume 308, 2025, 112750.
Liyi Chen, Jie Liu*, Yutai Duan, Runze Wang. KG-prompt: Interpretable knowledge graph prompt for pre-trained language models. Knowledge-Based Systems, 2025: 113118.
Jie Liu, Chunhai Zhang, Zhicheng He, Wenzheng Zhang, and Na Li. 2025. Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction. IEEE Trans. on Knowl. and Data Eng (TKDE). 37, 3 (March 2025), 1354–1365.
2024
Yutai Duan, Jie Liu*, Shaowei Chen, Liyi Chen, Jianhua Wu, G-Prompt: Graphon-based Prompt Tuning for Graph Classification. Information Processing and Management (IP&M). 2024.
Yutai Duan, Jie Liu*, Shaowei Chen, Jianhua Wu, Contrastive Fine-tuning for Low-resource Graph-level Transfer Learning. Information Sciences. 2024.
Shaowei Chen, Shuaipeng Liu,Jie Liu. Type-Specific Modality Alignment for Multi-Modal Information Extraction. IEEE Signal Process. Lett. 31: 1525-1529.
Xiao Ling, Jialin Liu, Jindu Liu, Jianhua Wu. Fine-tuning LLMs for Text-to-SQL with Two-stage Progressive Learning. In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2024.
Xuemin Liu, Jie Liu*. Retrieval Augmented Tree of Thoughts. In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2024.
2023
Jiaying Xie, Kai Dang, Jie Liu*, Enlei Liang. ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction. Computer Speech & Language.
刘杰，林绍鑫，王善鹏.基于交互引导的问答对联合生成模型.计算机学报，47(2).2024.2.
Liyi Chen, Shuaipeng Liu, Hailei Yan, Jie Liu*, Lijie Wen and Guanglu Wan. ECOD: A Multi-Modal Dataset for Intelligent Adjudication of E-commerce Order Disputes.In CCF International Conference on Natural Language Processing and Chinese Computing, NLPCC 2023.
2022
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). In press.
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
学术服务
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.