Jinyan Li
researcher
Facts
6 properties- Instance of
- human
- Date of birth
- 1963
- Occupation
- researcher, computer scientist
- Maintained by WikiProject
- WikiProject Mathematics[6]
🏷️ Also known as
en Jinyan Li
🔖 Identifiers · 15
- ISNI
- 0000000073623525
- ORCID iD
- 0000-0003-1833-7413
- VIAF cluster ID
- 44385961
- Library of Congress Authorities ID
- n2002021569
- GND ID
- 136886760
- DDB person (GND) ID
- 136886760
- Dimensions author ID
- 01056547720.95
- Google Scholar author ID
- 5XCuYTgAAAAJ
- J9U entity ID
- 987007375815705171
- NL CR AUT ID
- xx0044714
- SHARE Catalogue author ID
- 141283
- Scopus author ID
- 8920756500
Show all 15 identifiers +3
- WorldCat Entities ID
- E39PBJr3ymg8Qkd3KVhpWWxqwC
- Yale LUX ID
- person/29424000-19ca-4cfb-afa7-8ad38f33689b
- ZbMATH author ID
- li.jinyan
🔗 Connections
Author of 57
5G network slices embedding with sharable virtual network functions,
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data,
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features,
A Convolutional Neural Network System to Discriminate Drug-Target Interactions,
Adaptive multi-objective swarm fusion for imbalanced data classification,
Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data,
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification,
A joint optimization framework of sparse coding and discriminative clustering
+49 more
← Authored by 57
5G network slices embedding with sharable virtual network functions,
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data,
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features,
A Convolutional Neural Network System to Discriminate Drug-Target Interactions,
Adaptive multi-objective swarm fusion for imbalanced data classification,
Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data,
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification,
A joint optimization framework of sparse coding and discriminative clustering
+49 more
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