Research output per year
Research output per year
Personal profile
Overview
Xinliang Wei develops an original research framework on structural language protocols for human–AI collaboration, integrating Structured Expression Resonance (SER), Collaborative Structural Linguistics (CSL), Rhythm OS, and Structured Collaborative Language Systems (SCLS). His work shifts AI from a semantic prediction paradigm to a structural collaboration paradigm, enabling rhythm-, path-, and role-based interaction between humans and intelligent systems.
Wei’s publications outline a multi-layered protocol stack that includes structural expression units, collaborative grammars, rhythmic operating mechanisms, and validation loops. This framework offers a reusable foundation for collaborative intelligence, digital cognition, and multi-agent systems, addressing challenges of energy efficiency, reproducibility, and sustainable AI deployment.
His research outputs are openly disseminated through SSRN (Elsevier), Zenodo, and ResearchGate, where they contribute to international discussions on the future of AI language infrastructures. By reframing language as an executable protocol rather than unstructured text, his work establishes a pathway for protocol-driven, interdisciplinary collaboration across computing, education, and the social sciences.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Areas of expertise
- TK Electrical engineering. Electronics Nuclear engineering
- Artificial Intelligence
- Human–AI Collaboration
- Language Protocols
- P Philology. Linguistics
- Collaborative Structural Linguistics
- Computational Linguistics
- Rhythm-based Language
- Expression Protocols
- LB2300 Higher Education
- Digital Education
- AI in Higher Education
- Cognitive Infrastructure
- Co-creation Systems
- LB2361 Curriculum
- Curriculum Innovation
- AI Literacy
- Structural Pedagogy
- Human–AI Co-writing
- LC5201 Education extension. Adult education. Continuing education
- Lifelong Learning
- AI-enabled Learning
- Knowledge Protocols
- Continuing Digital Education
Research Beacons, Institutes and Platforms
- Institute for Data Science and AI
- Digital Futures
- Creative Manchester
- Manchester Institute of Innovation Research
Keywords
- Human–AI Collaboration
- Collaborative Intelligence
- Structured Expression Resonance
- Collaborative Structural Linguistics
- Rhythm OS
- Structured Collaborative Language Systems
- Structured Path Resonance Loop
- Rhythmic Language Protocol
- Pre-Structured Expression
- Rhythmic Expression Rights
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Dive into the research topics where Xinliang Wei is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Beyond Prompts: A Structural Language Paradigm for Human–AI Collaboration: SER × CSL × Rhythm OS as a Protocol Layer for Structured, Rhythmic, and Multi-Turn Co-Creation
Wei, X., 8 Sept 2025, SSRN, p. from 1 to 16, 16 p.Research output: Preprint/Working paper › Preprint
Open Access -
Beyond Prompts | SER × CSL × Rhythm OS: When Tokens Are No Longer a Cost, but a Metric of Collaborative Depth
Wei, X., 14 Aug 2025, Zenodo, p. from 1 to 13, 13 p.Research output: Preprint/Working paper › Working paper
Open Access -
Collaborative Co-Intelligence (CCI) Whitepaper | Not an Efficiency Tool, but a New Civilization of Structural Resonance: Beyond LLMs — From Understanding to Generating & Resonating Collaborative Structures
Wei, X., 10 Aug 2025, Zenodo. 19 p.Research output: Book/Report › Commissioned report › peer-review
Open Access -
Collaborative Co-Intelligence（CCI）Whitepaper｜Not Efficiency, but Structural Resonance as the Next Civilization: Beyond LLMs — From Language Understanding to Collaborative Structure-Building and Resonance
Wei, X., 17 Sept 2025, SSRN, p. from 1 to 18, 18 p.Research output: Preprint/Working paper › Preprint
Open Access -
Collaborative Language Model (CLM) Whitepaper | From LLMs to a Structural Collaboration Language Protocol: Not a New LM, but the Structural OS for AI Collaboration
Wei, X., 9 Aug 2025, p. from 1 to 19. 19 p.Research output: Contribution to conference › Poster › peer-review
Open Access