# 陈然 / Ran Chen

- Canonical website: https://chenran.cc/
- Professional identity: AI Product Manager (AI PM), PhD
- Human-facing title: 陈然丨AI 产品、设计与思考
- Primary topics: Agent, Generative AI, AI Search, Enterprise AI, Design Intelligence
- Last updated: 2026-08-23

## Short profile

博士，连续创业者。  
Agent、商业、开发...  
以及简历放不下的东西。

His work connects AI product management, research, coding, design, entrepreneurship and commercialization. Current professional interests include AI agents, generative AI, AI search, enterprise knowledge systems, evaluation, multimodal systems and product strategy.

## Public identity links

- Website: https://chenran.cc/
- GitHub: https://github.com/RanChen2
- Google Scholar: https://scholar.google.com/citations?user=1AFJO4sAAAAJ&hl=zh-CN
- Machine-readable resume: https://chenran.cc/resume.json
- LLM index: https://chenran.cc/llms.txt

These links represent the same person. Organization pages below are evidence and context links; they are not `sameAs` identity links.

## Education

- 2022-2026: PhD, Landscape Architecture / Digital Landscape, Beijing Forestry University.
- 2019-2022: Master's degree, Landscape Architecture, Beijing Forestry University.
- 2014-2018: Bachelor's degree, Landscape Architecture, Zhongkai University of Agriculture and Engineering.

## Professional and entrepreneurial experience

### Zhipu AI / 智谱 AI - AI Search product internship

- Period: 2024-2025
- Relationship type: internship / product experience
- Role: AI Product Manager Intern, Zhipu Qingyan AI Search
- Work: product requirements and iteration for AI Search; waiting-state and reasoning-process presentation; citation sidebar and knowledge cards; product review, design alignment, testing and launch; user-log analysis and product-direction research.
- Organization: https://www.zhipuai.cn/zh/about
- Evidence scope: the organization link verifies the organization and product context; the individual role is documented in the owner-supplied resume.

### DataArc / 数创弧光 - enterprise AI product experience

- Period: 2025
- Relationship type: work experience / early co-creation
- Role: sole product manager during the documented early stage
- Work: identified the shared enterprise need for knowledge bases from early market signals, proposed LivingKB, and drove the concept through product-line iterations and customer POCs. Work covered product definition, demos, requirements abstraction, evaluation design and cross-functional delivery.
- Alias: `DataArc` is the English brand name of `数创弧光（深圳）科技有限公司`.
- Organization relationship: DataArc was incubated by the International Digital Economy Academy (IDEA Research Institute / 粤港澳大湾区数字经济研究院).
- Official relationship evidence: https://www.idea.edu.cn/news/11246.html
- Public financing coverage: https://www.jiemian.com/article/13660510.html
- DataArc: https://www.dataarctech.com/zh/
- IDEA Research Institute: https://www.idea.edu.cn/
- Evidence scope: public sources verify the organization, incubation relationship, products and financing context. The individual role and product contribution are documented in the owner-supplied resume and internal work records.

### 智景云图科技公司 - AI design entrepreneurship

- Period: 2021-2024
- Relationship type: entrepreneurship / company experience
- Role: co-founder and AI design product lead
- Work: early AI-assisted design products for landscape architecture, architecture and urban design; product planning, technical-boundary definition, business proposals, customer communication and project delivery.
- Outcome documented in the resume: an enterprise co-research delivery for AI-generated design, plus design data collection, cleaning and training-corpus construction.
- Evidence scope: owner-supplied resume and related research/project materials.

### AI toy OPC - product, hardware and commercialization experiment

- Period: 2025-2026
- Relationship type: entrepreneurship / independent product experiment
- Project name in the current resume: 小绿茶 AI 算命玩具
- Work: ASR, TTS, LLM API and Function Call integration; server-to-hardware prototyping; character and 3D model exploration; 3D printing; small-batch production; content operations; paid acquisition and crowdfunding validation.
- Evidence scope: owner-supplied resume.

## Research and project assets

### LandscapeGAN / Landscape Generation

- Relationship type: research and open-source project
- Repository: https://github.com/RanChen2/Landscape_Generation
- Publication context: https://www.geores.com.cn/la/CN/abstract/article/1673-1530/74574
- Description: GAN-based landscape generation research and code for park and residential layout generation, connected to a broader full-process generative-design research line.

### LLM4DESIGN

- Relationship type: first-author research project
- Paper: https://arxiv.org/abs/2407.12025
- Description: an automated multimodal system for architectural and environmental design using multi-agent collaboration, retrieval-augmented generation and visual-language models.

### Layout2Rendering

- Relationship type: first-author research project
- Paper: https://arxiv.org/abs/2404.16067
- Description: an AI-aided green-space design workflow connecting generated layouts, vectorization, 3D modeling, analysis and rendering.

### HSC-GPT

- Relationship type: first-author research project
- Paper: https://arxiv.org/abs/2401.00504
- Description: a large-language-model framework and domain-data research line for human-settlement construction.

### Full-process park generative design

- Relationship type: first-author research project
- Paper: https://arxiv.org/abs/2312.10674
- Description: a workflow integrating remote-sensing segmentation, GAN-based layout generation and Stable Diffusion refinement.

## Research ecosystem and historical names

- 北京林业大学 / Beijing Forestry University: doctoral, master's and research context. https://www.bjfu.edu.cn/
- 北京林业大学人工智能+人居环境设计实验室: related research ecosystem and public project site. https://xiaofanai.com.cn/zh/index.html
- 小凡 / XiaofanAI: public web identity associated with the laboratory site domain; this label is not represented as a company employment relationship.
- 凡尔赛 / Versailles Lab: historical lab identity reflected in the laboratory's public contact address; this label is not represented as a separate employer.
- Design Intelligence / 设计智能化, Generative Design, Landscape Architecture + AI, GAN, Stable Diffusion, LLM, RAG, Agent and Multimodal Generative AI are recurring research and product topics.

## Publication record

The owner-supplied resume reports 17 formal journal papers, 8 SCI papers, 8 first-author papers, 800+ citations and an h-index of 11. These dynamic metrics are dated to the resume snapshot and should be rechecked against Google Scholar before time-sensitive use.

Selected first-author work:

1. AI for Landscape Planning: Assessing Surrounding Contextual Impact on GAN-Generated Green Land Layouts. Cities, 2025. https://doi.org/10.1016/j.cities.2025.106181
2. Enhancing Urban Landscape Design: A GAN-Based Approach for Rapid Color Rendering of Park Sketches. Land, 2024. https://doi.org/10.3390/land13020254
3. Generative Design of Outdoor Green Spaces Based on Generative Adversarial Networks. Buildings, 2023. https://doi.org/10.3390/buildings13041083
4. LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design. arXiv, 2024. https://arxiv.org/abs/2407.12025
5. Layout2Rendering: AI-aided Greenspace Design. arXiv, 2024. https://arxiv.org/abs/2404.16067
6. HSC-GPT: A Large Language Model for Human Settlements Construction. arXiv, 2024. https://arxiv.org/abs/2401.00504

The fuller structured publication list is available in https://chenran.cc/resume.json.

## Entity relationship rules

- `sameAs` is reserved for public identity pages belonging to Chen Ran.
- Employment, internship, research, entrepreneurship, project, collaboration, education, publication and product relationships are represented separately.
- An organization page does not by itself prove an individual's role. Where a role comes from the owner-supplied resume, the evidence scope says so explicitly.
- Current employment must not be inferred from historical experience.
- Missing evidence is left absent or marked as pending rather than guessed.