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撰写论文、专著、教材等
近期主要论文：
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.(SCI一区) 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.(SCI一区) 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.(SCI一区) Yutai Duan, Jie Liu*, Shaowei Chen, Jianhua Wu, Contrastive Fine-tuning for Low-resource Graph-level Transfer Learning. Information Sciences. 2024.(SCI一区) Shaowei Chen, Shuaipeng Liu,Jie Liu. Type-Specific Modality Alignment for Multi-Modal Information Extraction. IEEE Signal Process. Lett. 31: 1525-1529. Na Li, Zhicheng He, Jie Liu*, Jiaying Xie. Network Embedding with Dual Generation Tasks.IEEE Transactions on Knowledge and Data Engineering, TKDE 2022.(SCI一区) Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu. DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. The 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). (CCF B类) Chunhai Zhang, Jie Liu*, Kai Dang, Wenzhang Zhang. Multi-Scale Distillation from Multiple Graph Neural Networks. The 36th AAAI Conference on Artificial Intelligence (AAAI 2022). (CCF A类) Shaowei Chen, Yu Wang, Jie Liu*, Yuelin Wang. Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction.The 35th AAAI Conference on Artificial Intelligence (AAAI 2021). (CCF A类) Zhicheng He, Jie Liu*, Kai Dang, Fuzhen Zhuang, Yalou Huang. Leveraging Maximum Entropy and Correlation on Latent Factors for Learning Representations. Neural Networks. Jie Liu*, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, and Tong Xu. Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction. The 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (CCF A类) Liting Liu, Jie Liu*, Wenzheng Zhang, Ziming Chi, Wenxuan Shi, and Yalou Huang. Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation. In 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) (CCF A类) Shaowei Chen, Jie Liu*, Yu Wang, Wenzheng Zhang, and Ziming Chi. Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) (CCF A类) Jie Liu*, Zhicheng He, and Yalou Huang. Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. IJCAI 2018. (CCF A类) Jie Liu*, Zhicheng He, Lai Wei, and Yalou Huang. Content to Node: Self-translation Network Embedding. In the 24th ACM SIGKDD 2018. (CCF A类) Jie Liu*, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, and Yalou Huang. Personalized Air Travel Prediction: A Multi-factor Perspective. In ACM Transactions on Intelligent Systems and Technology (TIST) Jie Liu, Caihua Liu, Yalou Huang: Multi-granularity sequence labeling model for acronym expansion identification. Inf. Sci. 378: 462-474 (2017)(SCI一区) Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma: Topic Aware Neural Response Generation. AAAI 2017: 3351-3357 (CCF A类) Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang: Convolutional neural random fields for action recognition. Pattern Recognition 59: 213-224 (2016)(SCI一区) 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 TKDE. 28(7): 1919-1933 (2016)（A类期刊）(SCI一区) Chen Xing, Yuan Wang, Jie Liu, Yalou Huang, Wei-Ying Ma: Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter. AAAI 2016: 2666-2672 (CCF A类) Jiajun Chen, Jimeng Chen, Jie Liu, Yalou Huang. PSCAN：a parallel structural clustering algorithm for networks, ICMLC 2013(最佳学生论文) Caihua Liu, Jie Liu, Yalou Huang, Handwritten Words Recognition with Sequential Convolutional Neural Network, ICMLC 2013 Yuan Wang, Liu Jie, Jimeng Chen, Yalou Huang. Finding Similar Queries Based on Query Representation Analysis. World Wide Web Journal(WWWJ), 2013. (SCI) Jimeng Chen, Yuan Wang, Jie Liu, and Yalou Huang. Modeling Semantic and Behavioral Relations for Query Suggestion. In WAIM 2013.（B类） Jie Liu, Jimeng Chen, Yi Zhang, Yalou Huang: Learning conditional random fields with latent sparse features for acronym expansion finding. CIKM 2011: 867-872 (CCF B类) Jie Liu, Kai Yu, Yi Zhang, Yalou Huang, Training Conditional Random Fields Using Transfer Learning for Gesture Recognition. IEEE International Conference on Data Mining (ICDM 2010) , Sydney, 2010.(CCF B类) Min Lu, Maoqiang Xie, Jie Liu, Yalou Huang, Cost-sensitive Listwise Ranking Approach, The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2010.7. 王扬, 黄亚楼, 谢茂强, 刘杰, 卢敏, 廖振. 多查询相关的排序支持向量机融合算法. 计算机研究与发展, Vol.47. Jie Liu, Yang Wang, Dong Li, Yalou Huang. An Efficient Ranking SVM based on the Transitivity of Partial Order. In Proceedings of the 8th International Conference on Machine Learning and Cybernetics (ICMLC 2009). Baoding, China. July, 2009. Jie Liu, Kai Yu, Yi Zhang, Yalou Huang, Feature Learning for Conditional Random Fields and its Application to Gesture Recognition. Technical Report UCSC-SOE-08-18, University of California, Santa Cruz, 2008.
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