# Xiaodi Li

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/xiaodi-li/

## Facts

| Field | Value |
| --- | --- |
| Citations | 185 |
| Field | Machine Learning in Healthcare |
| h-index | 8 |
| i10-index | 4 |
| Last Known Institution | Mayo Clinic |
| OpenAlex ID | https://openalex.org/A5100755100 |
| ORCID iD | 0000-0002-3675-3448 |
| Works | 47 |

## Researcher papers

- [MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis](https://scholariq.org/papers/malscan-fast-market-wide-mobile-malware-scanning-by-social-network-centrality/)
- [DENAS: automated rule generation by knowledge extraction from neural networks](https://scholariq.org/papers/denas-automated-rule-generation-by-knowledge-extraction-from-neural-networks/)
- [MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping](https://scholariq.org/papers/mfecnn-mixture-feature-embedding-convolutional-neural-network-for-data-mapping/)
- [Multiobjective nonfragile fuzzy control for nonlinear stochastic financial systems with mixed time delays](https://scholariq.org/papers/multiobjective-nonfragile-fuzzy-control-for-nonlinear-stochastic-financial/)
- [Airbnb Usage across New York City Neighborhoods](https://scholariq.org/papers/airbnb-usage-across-new-york-city-neighborhoods/)
- [Mapping client messages to a unified data model with mixture feature embedding convolutional neural network](https://scholariq.org/papers/mapping-client-messages-to-a-unified-data-model-with-mixture-feature-embedding/)
- [MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data](https://scholariq.org/papers/mcom-a-semi-supervised-method-for-imbalanced-tabular-security-data/)
- [LPC: A Logits and Parameter Calibration Framework for Continual Learning](https://scholariq.org/papers/lpc-a-logits-and-parameter-calibration-framework-for-continual-learning/)
- [Self-assembly of symmetric tetramethylcucurbit\[6\]uril with phosphomolybdic acid: A stable anode material with lithium-storage properties](https://scholariq.org/papers/self-assembly-of-symmetric-tetramethylcucurbit-6-uril-with-phosphomolybdic-acid/)
- [An Automated Vulnerability Detection Framework for Smart Contracts](https://scholariq.org/papers/an-automated-vulnerability-detection-framework-for-smart-contracts/)
- [A patient report scale research to access the symptom burden in patients with IgA nephropathy](https://scholariq.org/papers/a-patient-report-scale-research-to-access-the-symptom-burden-in-patients-with/)

## Researcher topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)

## Researcher university

- [Mayo Clinic](https://scholariq.org/institutions/mayo-clinic/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.