My name is Jinxiang Xie (pronounced “JIN-shee-ahng SHEE-eh”). I am an M.Sc. student at Nanjing University and an AI research intern at Mind Lab, working with Pony Ma and Qihan Liu. Previously, I was a research intern at Microsoft, supervised by Principal Researcher Justin Ding, and at Peking University, supervised by Prof. Xiaojun Wan.
My research explores how large language models can address complex problems, with a focus on harness engineering, agentic reinforcement learning, and collective intelligence.
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
Writer & Builder
- 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
In Preparation
ReTRACE: Chemically Auditable Large Language Model Agent for Multi-Step Retrosynthesis Planning
In Submission
Semantic Atoms for Scalable Text Analysis in Data Analytics in the Era of LLM-Based Agents
ACL 2026 Findings
CAST: Achieving Stable LLM-based Text Analysis for Data Analytics
Education
- 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
- 2026.08 - Present: Algorithm Intern, Mind Lab, Mindverse.
- 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
Product · NJU Hackathon
BuYu 步语 — AI Walking Companion
An AI walking companion that turns city walks into living, personalized narrations: curator-verified local history, real-time speech-to-speech interaction, and auto-generated shareable walking journals. Demo videos and product walkthrough inside.
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
August, 2026
Consolidating an Agent That Outgrew Itself
After months of heavy use, my AI agent had accumulated 272 skills, plaintext API keys, and a 43K-token fixed context ...
June, 2026
Staying Grounded in Fast-Paced AI Research
Three principles for navigating the AI research firehose: prioritizing information sources (blogs over papers for fro...
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...
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 ...
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 bottl...
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...
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 cry...
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...
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 se...