Yanjun Qi
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Amazon, Northwest University of Politics and Lawas 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
- 0000-0002-5796-7453
- OpenAlex ID
- A5101887931as 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
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 20
A constrained $$\ell $$1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models,
Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning,
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples,
A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.,
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers,
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers,
Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis,
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.
+12 more
← Authored by 20
A constrained $$\ell $$1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models,
Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning,
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples,
A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.,
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers,
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers,
Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis,
Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.
+12 more
Affiliated with 2
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Summary
Yanjun Qi is a human[1].