My name is Jinxiang Xie (pronounced “JIN-shee-ahng SHEE-eh”). I am a graduate student at Nanjing University. I earned my Bachelor’s degree in Information and Computing Science from Beijing Jiaotong University. I was a research intern at Microsoft, where I have the privilege of working with Principal Researcher Justin Ding. Prior to this, I gained valuable research experience at Peking University under the guidance of Prof. Xiaojun Wan.
My research focuses on leveraging Large Language Models to address complex problems.
Feel free to reach out if you’d like to discuss research or explore potential collaboration!
AI Researcher
- Research focus on LLMs and NLP
- Internships at top institutions
- Publications at AAAI, ACL
Content Creator
- Technical blogs with 500K+ views
- Active on Xiaohongshu
- Articles about Tech & Humanities
Life Explorer
- Visited 9 countries worldwide
- Traveled to 32 provinces in China
- Rich experience in social work
Publications
ACL 2026 Findings
CAST: Achieving Stable LLM-based Text Analysis for Data Analytics
Educations
- 2025.09 - Present: Master of Science at Kuang Yaming Honors School, Nanjing University.
- 2021.09 - 2025.06: Bachelor of Science in Information and Computing Science, Beijing Jiaotong University.
Internships
- 2025.08 - Present: Research Intern, Artificial Scientific Intelligence Lab, National University of Singapore.
- 2024.08 - 2025.08: Research Intern, Data, Knowledge and Intelligence (DKI) Group, Microsoft.
- 2023.11 - 2024.08: Research Intern, Wangxuan Institute of Computer Technology, Peking University.
Open Source
Skills for AI Agents
Scientific Research Skills
Not another tool list — each skill encodes a complete research workflow: literature search, paper reading, social-media triage, related-work survey, Zotero management, and figure generation.
Research Tool
Auto Paper Harvester
Routes through publisher TDM APIs (Wiley/Elsevier/Springer) → OA fallbacks (Crossref/OpenAlex/Unpaywall) → optional Playwright browser fallback. Ships as both a CLI and an agent skill.
Blogs
Latest Posts
View All PostsJune, 2026

Staying Grounded in Fast-Paced AI Research
Three principles for navigating the AI research firehose: prioritizing information sources (blogs over papers for frontier insights), building domain-specific harnesses instead of chasing hype, and constructing a personal research infrastructure with unified memory and automated pipelines.
January, 2026

My 2025 | Through Romance, Finding Stability
From adventure and exploration in the first half to stability and reflection in the second half - sharing thoughts on compound interest of time, recording in the AI era, and living a fulfilling life within a smaller radius.
November, 2025

Claude Code Skills and Subagents in Practice
Two production-grade systems for real research scenarios: a paywall-crossing paper harvester and a self-iterating AI Scientist, demonstrating how Skills and Subagents upgrade LLMs into research infrastructure.
June, 2025

The Limits of My Language Mean the Limits of My World
Drawing on Wittgenstein's philosophy, a recent paper argues that our existing language might be the fundamental bottleneck.
February, 2025

As the World Reorders: Interviews, Content Creation, and Digital Nomadism
From interview reflections and Coffee Chats to AI-assisted writing and a digital-nomad experiment in Bali, this essay explores how to build an inner anchor in an age of labels, algorithms, and uncertainty.
January, 2025

Beyond the Future of AI: The Dreams and Deceptions of Cryptocurrency
From Web 3.0 to Bitcoin breaking $100K, from speculators to true believers - exploring the technical potential of cryptocurrency, its future direction, and the possibility of a decentralized society in the AGI era.
December, 2024

Wind Over the Hills: There But for the Grace of God Go I
Two weeks volunteering at a lakeside cafe in Yunnan, and reflections on freedom, labor, rural life, and how privilege shapes our sense of possibility.
October, 2024

My 2024 | Seeking Breakthroughs with Prudent Courage
From the struggles and breakthroughs during my research internship at Peking University, to self-exploration after securing graduate admission - documenting growth and reflections in research, reading, and life planning in 2024.
November, 2023

LLMs: Cutting-Edge Technology and Future Applications
Introduce a number of methods for optimizing the output of large language models and reducing the probability of irrelevant or incorrect responses.
