Luchen Liu

According to our database, Luchen Liu authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.

Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang

ACM Trans. Knowl. Discov. Data, February, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua

ACM Trans. Knowl. Discov. Data, January, 2024

2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang

IEEE Trans. Big Data, December, 2023

Deep spatial-temporal structure learning for rumor detection on Twitter.

Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang

Neural Comput. Appl., June, 2023

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang

CoRR, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang

CoRR, 2023

2022

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.

Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-Modal Adversarial Adaptive Network for Misinformation Detection on Social Media.

Lei Zhang, Peng Zhang, Xi Zhu, Luchen Liu, Hongbo Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation.

Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian

Proceedings of the IEEE International Conference on Acoustics, 2022

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner.

Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing.

Heng Tao Shen, Luchen Liu, Yang Yang, Xing Xu, Zi Huang, Fumin Shen, Richang Hong

IEEE Trans. Knowl. Data Eng., 2021

Bipartite Graph Embedding via Mutual Information Maximization.

Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

Proceedings of the WSDM '21, 2021

DCEN: A Decoupled Context Enhanced Network For Few-shot Slot Tagging.

Youliang Yuan, Jiaxin Pan, Xu Jia, Luchen Liu, Min Peng

Proceedings of the International Joint Conference on Neural Networks, 2021

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph.

Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multiphish: Multi-Modal Features Fusion Networks for Phishing Detection.

Lei Zhang, Peng Zhang, Luchen Liu, Jianlong Tan

Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Cross-Domain Slot Filling with Common Syntactic Structure.

Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.

Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang

Proceedings of the AMIA 2020, 2020

2019

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

CoRR, 2019

Decoupling Category-wise Independence and Relevance with Self-attention for Multi-label Image Classification.

Luchen Liu, Sheng Guo, Weilin Huang, Matthew R. Scott

Proceedings of the IEEE International Conference on Acoustics, 2019

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

Proceedings of the 46th Computing in Cardiology, 2019

Evaluation of Low-Contrast Resolution for Computed Tomography by Method of Optimized CNR and Experts' Subjective Evaluation.

Chengwei Li, Jie Sun, Luchen Liu, Peng Zhang, Wenli Liu, Pu Zhang

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

Predictive Multi-level Patient Representations from Electronic Health Records.

Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.

Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang

Proceedings of the AMIA 2019, 2019

2018

Index and Retrieve Multimedia Data: Cross-Modal Hashing by Learning Subspace Relation.

Luchen Liu, Yang Yang, Mengqiu Hu, Xing Xu, Fumin Shen, Ning Xie, Zi Huang

Proceedings of the Database Systems for Advanced Applications, 2018

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction.

Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Syntax Aware LSTM Model for Chinese Semantic Role Labeling.

Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang

CoRR, 2017

Syntax Aware LSTM model for Semantic Role Labeling.

Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang

Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

Topic medical concept embedding: Multi-sense representation learning for medical concept.

Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017