hao-ai-lab/hao-ai-labhub.io.git
Dec 2025 – Jan 2026
2 Months active
Languages Used
HTMLJavaScriptMarkdown
Technical Skills
AI model performance analysisJavaScriptdata visualizationdocumentationfront end developmentfull stack development
Yu-Yang Qian (Yuyang Qian)
PROFILE
Yu-yang Qian (yuyang Qian)
Qianyy contributed to the hao-ai-lab/hao-ai-labhub.io.git repository by developing and documenting the D3LLM diffusion-based language model framework, focusing on speed and accuracy improvements through pseudo-trajectory distillation and multi-block decoding. Using JavaScript and HTML, Qianyy enhanced data visualization and front-end rendering, updating figures, tags, and mobile styling to support clearer performance benchmarks. They addressed reliability in evaluation by fixing HumanEval statistics reporting, ensuring accurate metrics. In addition, Qianyy improved the clarity and accessibility of research references by refining documentation and citations, demonstrating depth in technical writing and research integration throughout the project’s lifecycle over the two-month period.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
2,036
Activity Months2
Your Network
1 personSame Organization
@lamda.nju.edu.cn1
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for hao-ai-lab/hao-ai-labhub.io.git. Focused on documentation improvements for d3LLM citations; no major bugs fixed this month. Primary deliverable was enhanced accuracy, clarity, and accessibility of research references.
1 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for hao-ai-lab/hao-ai-labhub.io.git. Focused on documentation improvements for d3LLM citations; no major bugs fixed this month. Primary deliverable was enhanced accuracy, clarity, and accessibility of research references.
January 2026
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary: Delivered the D3LLM diffusion-based framework with speed and accuracy improvements via pseudo-trajectory distillation and multi-block decoding, accompanied by comprehensive documentation and visuals. Reworked blog/project visuals, rendering, tags, and ensured performance-documented results. Fixed HumanEval statistics reporting to ensure reliable metrics. Strengthened repo quality through updated docs, figures, and render assets to support faster onboarding and data-driven decisions.
December 2025
4 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary: Delivered the D3LLM diffusion-based framework with speed and accuracy improvements via pseudo-trajectory distillation and multi-block decoding, accompanied by comprehensive documentation and visuals. Reworked blog/project visuals, rendering, tags, and ensured performance-documented results. Fixed HumanEval statistics reporting to ensure reliable metrics. Strengthened repo quality through updated docs, figures, and render assets to support faster onboarding and data-driven decisions.
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage48.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptMarkdown
Technical Skills
AI model performance analysisJavaScriptdata visualizationdocumentationfront end developmentfull stack developmentresearchtechnical writingweb development
Repositories Contributed To
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