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Lei Li
Observed name:
Li, Lei
Institution:
Anhui University
Observed institutions:
Anhui University,
Peking University
ORCID:
0009-0009-9491-9547
Observed ORCID:
0009-0009-9491-9547
OpenAlex ID:
A5092005330
Can We Edit Factual Knowledge by In-Context Learning?
2023
·
Ce Zheng
, Lei Li
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
54
PDF
MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction
2024
·
Lei Li
, Haitao Li
, et al.
·
IEEE Journal of Biomedical and Health Informatics
·
16
A review of deep learning approaches for drug synergy prediction in cancer
2025
·
Lei Li
, Hongyu Zhang
, et al.
·
npj Drug Discovery.
·
9
PDF
MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction
2024
·
Lei Li
, Guodong Lü
, et al.
·
Big Data Mining and Analytics
·
7
CASynergy: A causal attention model for interpretable prediction of cancer drug synergy
2025
·
Haitao Li
, Long Zheng
, et al.
·
PLoS Computational Biology
·
5
PDF
TransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis
2025
·
Haitao Li
, Yuanyuan Chu
, et al.
·
Frontiers in Genetics
·
3
PDF
FRSynergy: A Feature Refinement Network for Synergistic Drug Combination Prediction
2025
·
Lei Li
, Haitao Li
, et al.
·
IEEE Journal of Biomedical and Health Informatics
·
2
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models
2024
·
Padlewski, Piotr
, Bain, Max
, et al.
·
arXiv (Cornell University)
·
1
PDF
Sub-hypergraph encoding with Mamba-based feature refinement for drug synergy prediction
2026
·
Yiming Sun
, Jie Tong
, et al.
·
Expert Systems with Applications
Predicting miRNA–Disease Associations Based on Contrastive Learning of Linear and Nonlinear Features
2026
·
Yiming Sun
, Weihua Zhu
, et al.
·
Genes
Drug combination prediction for parasitic diseases through information-augmented hypergraph neural network
2025
·
Lei Li
, Hongyu Zhang
, et al.
·
Future Generation Computer Systems
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Works count:
11
Citation count:
97
H-index:
5
I10-index:
2
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