Fengmao Lv
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Ministry of Transport of the People's Republic of China, Southwest Jiaotong Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-1640-0992
- OpenAlex ID
- A5009594218as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 25
Adaptive graph-based generalized regression model for unsupervised feature selection,
An Effective Conversation‐Based Botnet Detection Method,
An efficient instance selection algorithm to reconstruct training set for support vector machine,
A new Centroid-Based Classification model for text categorization,
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion,
Breast tumor classification through learning from noisy labeled ultrasound images,
Can Cross Entropy Loss Be Robust to Label Noise?,
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
+17 more
← Authored by 25
Adaptive graph-based generalized regression model for unsupervised feature selection,
An Effective Conversation‐Based Botnet Detection Method,
An efficient instance selection algorithm to reconstruct training set for support vector machine,
A new Centroid-Based Classification model for text categorization,
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion,
Breast tumor classification through learning from noisy labeled ultrasound images,
Can Cross Entropy Loss Be Robust to Label Noise?,
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
+17 more
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Summary
Fengmao Lv is a human[1].