Fanchao Qi is the founder of DeepLang AI and an NLP/AI researcher with a PhD from Tsinghua University, bringing nine years of industry and research experience in Beijing. He combines research rigor with product focus, contributing as an ML engineer to the widely used thunlp/OpenAttack project by improving core evaluation metrics, integrating adversarial training examples, and polishing documentation. His work sits at the intersection of adversarial robustness and applied NLP, consistently turning academic advances into practical tooling for developers and teams. Notably, he emphasizes usability and reproducibility in open-source NLP tools, helping bridge the gap between cutting‑edge research and deployable AI products.
An Open-Source Package for Textual Adversarial Attack.
Role in this project:
ML Engineer
Contributions:3 releases, 2 reviews, 30 commits in 1 year 7 months
Contributions summary:Fanchao contributed to the development and refinement of the `OpenAttack` package, primarily focused on adversarial attacks in the natural language processing domain. The commits include updates to the core functionality of the package, such as modifying evaluation metrics and integrating new examples demonstrating the use of adversarial training. They also contributed to the documentation and example code, which reflects the user's involvement in improving the usability and functionality of the project.
Contributions:5 commits, 4 pushes, 3 branches in 1 year 11 months
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