Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

From Determinism to Probabilism: Reshaping the Causation Identification of Medical Malpractice in AI-Assisted Diagnosis and Treatment

Published in Cognitive Computing - ICCC 2025, 2025

This paper examines the limitations of conventional causation determination methods in the context of AI-assisted diagnosis and proposes a shift toward probabilistic causation theory.

Recommended citation: Wang, W., Yang, A., Li, Z., & Gong, Y. (2025). From Determinism to Probabilism: Reshaping the Causation Identification of Medical Malpractice in AI-Assisted Diagnosis and Treatment. In Cognitive Computing - ICCC 2025 (pp. 20-35). Springer.
Download Paper

Legal Knowledge Generation Based on LLM Prompt Engineering

Published in CLOUD Computing – CLOUD 2025, 2025

The rise of generative artificial intelligence, especially large language models (LLMs), is subversively changing the legal industry. This paper explores how prompt engineering can be leveraged to control LLMs for advanced legal knowledge generation, moving beyond simple information retrieval to the creation of new legal insights.

Recommended citation: Yang, A., Li, Z., Gong, Y. (2026). Legal Knowledge Generation Based on LLM Prompt Engineering. In: Luo, M., Zhang, LJ. (eds) CLOUD Computing – CLOUD 2025. CLOUD 2025. Lecture Notes in Computer Science, vol 16153. Springer, Cham. https://doi.org/10.1007/978-3-032-06326-7_2
Download Paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.