Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank. - Min Lu; Maoqiang Xie; Yang Wang 017; Jie Liu 007; Yalou Huang (AIRS, 2010)

Training Conditional Random Fields Using Transfer Learning for Gesture Recognition. - Jie Liu 007; Kai Yu; Yi Zhang 001; Yalou Huang (ICDM, 2010)

Cost-Sensitive Listwise Ranking Approach. - Min Lu; Maoqiang Xie; Yang Wang 017; Jie Liu 007; Yalou Huang (PAKDD (1), 2010)

Learning conditional random fields with latent sparse features for acronym expansion finding. - Jie Liu 007; Jimeng Chen; Yi Zhang 001; Yalou Huang (CIKM, 2011)

Efficient top-k support documents for expert search using relationship in a social network. - Jimeng Chen; Jie Liu 007; Yalou Huang; Min Lu (ICMLC, 2011)

Semi-supervised training for conditional random fields with pseudo auxiliary task. - Jie Liu 007; Yalou Huang (ICMLC, 2011)

TOC Structure Extraction from OCR-ed Books. - Caihua Liu; Jiajun Chen; Xiaofeng Zhang; Jie Liu 007; Yalou Huang (INEX, 2011)

Expansion Finding for Given Acronyms Using Conditional Random Fields. - Jie Liu 007; Jimeng Chen; Tianbi Liu; Yalou Huang (WAIM, 2011)

PSCAN: A Parallel Structural Clustering Algorithm for networks. - Jiajun Chen; Jimeng Chen; Jie Liu 007; Va-Lou Huang (ICMLC, 2013)

Handwritten character recognition with sequential convolutional neural network. - Caihua Liu; Jie Liu 007; Fang Yu; Yalou Huang; Jimeng Chen (ICMLC, 2013)

Modeling Semantic and Behavioral Relations for Query Suggestion. - Jimeng Chen; Yuan Wang; Jie Liu 007; Yalou Huang (WAIM, 2013)

Rank hash similarity for fast similarity search. - Min Lu; Yalou Huang; Maoqiang Xie; Jie Liu 007 (Inf. Process. Manag., 2013)

Supervised rank aggregation based on query similarity for document retrieval. - Yang Wang 017; Yalou Huang; Xiaodong Pang; Min Lu; Maoqiang Xie; Jie Liu 007 (Soft Comput., 2013)

What to Tag Your Microblog: Hashtag Recommendation Based on Topic Analysis and Collaborative Filtering. - Yuan Wang; Jishi Qu; Jie Liu 007; Jimeng Chen; Yalou Huang (APWeb, 2014)

Hashtag Graph Based Topic Model for Tweet Mining. - Yuan Wang; Jie Liu 007; Jishi Qu; Yalou Huang; Jimeng Chen; Xia Feng (ICDM, 2014)

Learning conditional random field with hierarchical representations for dialogue act recognition. - Yucan Zhou; Qinghua Hu; Jie Liu 007; Yuan Jia (INTERSPEECH, 2014)

Word Vector Modeling for Sentiment Analysis of Product Reviews. - Yuan Wang; Zhaohui Li; Jie Liu 007; Zhicheng He 001; Yalou Huang; Dong Li (NLPCC, 2014)

Finding similar queries based on query representation analysis. - Yuan Wang; Jie Liu 007; Jimeng Chen; Yalou Huang (World Wide Web, 2014)

Fine-grained acronym expansion identification using latent-state neural structured prediction model. - Jie Liu 007; Caihua Liu; Qemghua Hu; Yalou Huang (ICMLC, 2015)

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web. - Yuan Wang; Jie Liu 007; Yalou Huang; Yongfeng Zhang; Yi Zhang 001; Xintong Zhang (TREC, 2015)

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. - Yucan Zhou; Qinghua Hu; Jie Liu 007; Yuan Jia (Neurocomputing, 2015)

Hashtag-Based Sub-Event Discovery Using Mutually Generative LDA in Twitter. - Chen Xing; Yuan Wang; Jie Liu 007; Yalou Huang; Wei-Ying Ma (AAAI, 2016)

Dropout Non-negative Matrix Factorization for Independent Feature Learning. - Zhicheng He 001; Jie Liu 007; Caihua Liu; Yuan Wang; Airu Yin; Yalou Huang (NLPCC/ICCPOL, 2016)

Topic Augmented Neural Response Generation with a Joint Attention Mechanism. - Chen Xing; Wei Wu 014; Yu Wu 012; Jie Liu 007; Yalou Huang; Ming Zhou 001; Wei-Ying Ma (CoRR, 2016)

Convolutional neural random fields for action recognition. - Caihua Liu; Jie Liu 007; Zhicheng He 001; Yujia Zhai; Qinghua Hu; Yalou Huang (Pattern Recognit., 2016)

Using Hashtag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Microblogs. - Yuan Wang; Jie Liu 007; Yalou Huang; Xia Feng (IEEE Trans. Knowl. Data Eng., 2016)

Topic Aware Neural Response Generation. - Chen Xing; Wei Wu 014; Yu Wu 012; Jie Liu 007; Yalou Huang; Ming Zhou 001; Wei-Ying Ma (AAAI, 2017)

Multi-granularity sequence labeling model for acronym expansion identification. - Jie Liu 007; Caihua Liu; Yalou Huang (Inf. Sci., 2017)

Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. - Jie Liu 007; Zhicheng He 001; Yalou Huang (IJCAI, 2018)

Content to Node: Self-Translation Network Embedding. - Jie Liu 007; Zhicheng He 001; Lai Wei; Yalou Huang (KDD, 2018)

Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction. - Jie Liu 007; Shaowei Chen; Zhicheng He 001; Huipeng Chen (NLPCC (1), 2018)

Hierarchical Attention Based Semi-supervised Network Representation Learning. - Jie Liu 007; Junyi Deng; Guanghui Xu; Zhicheng He 001 (NLPCC (1), 2018)

Personalized Air Travel Prediction: A Multi-factor Perspective. - Jie Liu 007; Bin Liu 045; Yanchi Liu; Huipeng Chen; Lina Feng; Hui Xiong 001; Yalou Huang (ACM Trans. Intell. Syst. Technol., 2018)

Network Embedding with Dual Generation Tasks. - Jie Liu 007; Na Li; Zhicheng He 001 (IJCAI, 2019)

Learning Network-to-Network Model for Content-rich Network Embedding. - Zhicheng He 001; Jie Liu 007; Na Li; Yalou Huang (KDD, 2019)

Heterogeneous Item Recommendation for the Air Travel Industry. - Zhicheng He 001; Jie Liu 007; Guanghui Xu; Yalou Huang (PAKDD (2), 2019)

Dropout non-negative matrix factorization. - Zhicheng He 001; Jie Liu 007; Caihua Liu; Yuan Wang; Airu Yin; Yalou Huang (Knowl. Inf. Syst., 2019)

Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. - Shaowei Chen; Jie Liu 007; Yu Wang; Wenzheng Zhang 002; Ziming Chi (ACL, 2020)

Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation. - Liting Liu; Jie Liu 007; Wenzheng Zhang 002; Ziming Chi; Wenxuan Shi; Yalou Huang (ACL, 2020)

Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction. - Jie Liu 007; Shaowei Chen; Bingquan Wang; Jiaxin Zhang 011; Na Li; Tong Xu 001 (IJCAI, 2020)

Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction. - Peng Chen; Shaowei Chen; Jie Liu 007 (NLPCC (1), 2020)

Leveraging maximum entropy and correlation on latent factors for learning representations. - Zhicheng He 001; Jie Liu 007; Kai Dang; Fuzhen Zhuang; Yalou Huang (Neural Networks, 2020)

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction. - Shaowei Chen; Yu Wang; Jie Liu 007; Yuelin Wang (AAAI, 2021)

Leveraging Adversarial Training to Facilitate Grammatical Error Correction. - Kai Dang; Jiaying Xie; Jie Liu 007 (ICANN (1), 2021)

Learning Multi-Graph Neural Network for Data-Driven Job Skill Prediction. - Liting Liu; Wenzheng Zhang 002; Jie Liu 007; Wenxuan Shi; Yalou Huang (IJCNN, 2021)

Interpretable Charge Prediction for Legal Cases based on Interdependent Legal Information. - Liting Liu; Wenzheng Zhang 002; Jie Liu 007; Wenxuan Shi; Yalou Huang (IJCNN, 2021)

Uncertainty-Aware Self-paced Learning for Grammatical Error Correction. - Kai Dang; Jiaying Xie; Jie Liu 007; Shaowei Chen (NLPCC (1), 2021)

A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification. - Bingquan Wang; Jie Liu 007; Shaowei Chen; Xiao Ling; Shanpeng Wang; Wenzheng Zhang 002; Liyi Chen 003; Jiaxin Zhang 011 (NLPCC (1), 2021)

A Comprehensive Survey of Grammatical Error Correction. - Yu Wang; Yuelin Wang; Kai Dang; Jie Liu 007; Zhuo Liu (ACM Trans. Intell. Syst. Technol., 2021)

Content to Node: Self-Translation Network Embedding. - Zhicheng He 001; Jie Liu 007; Yuyuan Zeng; Lai Wei; Yalou Huang (IEEE Trans. Knowl. Data Eng., 2021)

DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans. - Shaowei Chen; Haoran Wang; Jie Liu 007; Jiahui Wu (CIKM, 2022)

Online Self-boost Learning for Chinese Grammatical Error Correction. - Jiaying Xie; Kai Dang; Jie Liu 007 (NLPCC (1), 2022)

ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification. - Jiaxin Zhang 011; Jie Liu 007; Shaowei Chen; Shaoxin Lin; Bingquan Wang; Shanpeng Wang (PAKDD (1), 2022)

ECOD: A Multi-modal Dataset for Intelligent Adjudication of E-Commerce Order Disputes. - Liyi Chen 003; Shuaipeng Liu; Hailei Yan; Jie Liu 007; Lijie Wen 001; Guanglu Wan (NLPCC (1), 2023)

Network Embedding With Dual Generation Tasks. - Na Li; Jie Liu 007; Zhicheng He 001; Chunhai Zhang; Jiaying Xie (IEEE Trans. Knowl. Data Eng., 2023)

Finetuning LLMs for Text-to-SQL with Two-Stage Progressive Learning. - Xiao Ling; Jialin Liu; Jindu Liu; Jianhua Wu; Jie Liu 007 (NLPCC (2), 2024)

Learning Attentional Mixture of LoRAs for Language Model Continual Learning. - Jialin Liu; Jianhua Wu; Jie Liu 007; Yutai Duan (CoRR, 2024)

Type-Specific Modality Alignment for Multi-Modal Information Extraction. - Shaowei Chen; Shuaipeng Liu; Jie Liu 007 (IEEE Signal Process. Lett., 2024)

ABC-Fusion: Adapter-based BERT-level confusion set fusion approach for Chinese spelling correction. - Jiaying Xie; Kai Dang; Jie Liu 007; Enlei Liang (Comput. Speech Lang., 2024)

Contrastive fine-tuning for low-resource graph-level transfer learning. - Yutai Duan; Jie Liu 007; Shaowei Chen; Jianhua Wu (Inf. Sci., 2024)

G-Prompt: Graphon-based Prompt Tuning for graph classification. - Yutai Duan; Jie Liu 007; Shaowei Chen; Liyi Chen 003; Jianhua Wu (Inf. Process. Manag., 2024)

KG-prompt: Interpretable knowledge graph prompt for pre-trained language models. - Liyi Chen 003; Jie Liu 007; Yutai Duan; Runze Wang (Knowl. Based Syst., 2025)

Learning global dependencies via parallelized graph transformer with hybrid attention. - Yutai Duan; Jie Liu 007; Xingyang He; Yi Lv (Knowl. Based Syst., 2025)

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads. - Xingyang He; Jie Liu 007; Shaowei Chen (CoRR, 2025)

Sentence-graph-level knowledge injection with multi-task learning. - Liyi Chen 003; Runze Wang; Chen Shi; Yifei Yuan 002; Jie Liu 007; Yuxiang Hu; Feijun Jiang (World Wide Web (WWW), 2025)

Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction. - Jie Liu 007; Chunhai Zhang; Zhicheng He 001; Wenzheng Zhang 002; Na Li (IEEE Trans. Knowl. Data Eng., 2025)

SmartThinker: Learning to Compress and Preserve Reasoning by Step-Level Length Control. - Xingyang He; Xiao Ling; Jie Liu 007 (CoRR, 2025)

2-D Transformer: Extending Large Language Models to Long-Context With Few Memory. - Xingyang He; Jie Liu 007; Yutai Duan (IEEE Trans. Neural Networks Learn. Syst., 2025)