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Luchen Liu
Luchen Liu
Peking University Phd candidate
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
Learning the joint representation of heterogeneous temporal events for clinical endpoint prediction
L Liu, J Shen, M Zhang, Z Wang, J Tang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
512018
Learning hierarchical representations of electronic health records for clinical outcome prediction
L Liu, H Li, Z Hu, H Shi, Z Wang, J Tang, M Zhang
AMIA Annual Symposium Proceedings 2019, 597, 2019
312019
Syntax aware LSTM model for semantic role labeling
F Qian, L Sha, B Chang, L Liu, M Zhang
Proceedings of the 2nd Workshop on Structured Prediction for Natural …, 2017
302017
Multi-task learning via adaptation to similar tasks for mortality prediction of diverse rare diseases
L Liu, Z Liu, H Wu, Z Wang, J Shen, Y Song, M Zhang
AMIA Annual Symposium Proceedings 2020, 763, 2020
232020
Early prediction of sepsis from clinical data via heterogeneous event aggregation
L Liu, H Wu, Z Wang, Z Liu, M Zhang
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
102019
Redundancy-free self-supervised relational learning for graph clustering
S Yi, W Ju, Y Qin, X Luo, L Liu, Y Zhou, M Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2023
82023
Criterion-based heterogeneous collaborative filtering for multi-behavior implicit recommendation
X Luo, D Wu, Y Gu, C Chen, L Liu, J Ma, M Zhang, M Deng, J Huang, ...
ACM Transactions on Knowledge Discovery from Data 18 (1), 1-26, 2023
62023
Zero-shot node classification with graph contrastive embedding network
W Ju, Y Qin, S Yi, Z Mao, K Zheng, L Liu, X Luo, M Zhang
Transactions on Machine Learning Research, 2023
52023
Self-supervised graph-level representation learning with adversarial contrastive learning
X Luo, W Ju, Y Gu, Z Mao, L Liu, Y Yuan, M Zhang
ACM Transactions on Knowledge Discovery from Data 18 (2), 1-23, 2023
42023
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
X Luo, W Ju, Y Gu, Y Qin, S Yi, D Wu, L Liu, M Zhang
ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023
42023
Predictive multi-level patient representations from electronic health records
Z Wang, H Li, L Liu, H Wu, M Zhang
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
42019
Topic medical concept embedding: Multi-sense representation learning for medical concept
F Qian, C Gong, L Liu, L Sha, M Zhang
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
42017
Syntax aware lstm model for chinese semantic role labeling
F Qian, L Sha, B Chang, L Liu, M Zhang
arXiv preprint arXiv:1704.00405, 2017
42017
Towards long-tailed recognition for graph classification via collaborative experts
SY Yi, Z Mao, W Ju, YD Zhou, L Liu, X Luo, M Zhang
IEEE Transactions on Big Data, 2023
22023
Focus on informative graphs! semi-supervised active learning for graph-level classification
W Ju, X Luo, Y Qin, Z Qiao, S Yi, L Liu, Y Fu, M Zhang
22023
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data
Y Song, W Ju, Z Tian, L Liu, M Zhang, Z Xie
International Conference on Neural Information Processing, 591-603, 2022
22022
Retrieval bias aware ensemble model for conditional sentence generation
Y Song, Z Xie, J Li, L Liu, M Zhang, Z Tian
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
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