Xiaojun Jia
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Nanyang Technological 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
- 0000-0002-2018-9344
- OpenAlex ID
- A5084784341, A5023263684, A5101188934, A5125093374, A5128966993, A5136477589as 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 22
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples,
Applying BERT to analyze investor sentiment in stock market,
Barrier option pricing and volatility surface predicting with an extended physics-informed neural network,
Boosting Fast Adversarial Training With Learnable Adversarial Initialization,
Context-Aware Robust Fine-Tuning,
Defending against Model Stealing via Verifying Embedded External Features,
Design of low-noise photodetector with a bandwidth of 130 MHz based on transimpedance amplification circuit,
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models
+14 more
← Authored by 22
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples,
Applying BERT to analyze investor sentiment in stock market,
Barrier option pricing and volatility surface predicting with an extended physics-informed neural network,
Boosting Fast Adversarial Training With Learnable Adversarial Initialization,
Context-Aware Robust Fine-Tuning,
Defending against Model Stealing via Verifying Embedded External Features,
Design of low-noise photodetector with a bandwidth of 130 MHz based on transimpedance amplification circuit,
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models
+14 more
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Summary
Xiaojun Jia is a human[1].