Bi Yuxi

Fashion design / Brand systems / FASHION AI-native product research

From Fashion to AI

Foundation

Fashion design education and training across SCAD, Paris, and Milan.

Practice

Five years of senior fashion design and brand-building experience.

Extension

At Tongji University, I turn fashion knowledge toward Fashion AI research.

01SCAD / Paris / Milan
025 years of senior fashion design practice
03StePO-Rec first author · EI indexed
04Independently Developed a Personalized AI Styling Assistant
View Selected WorkView Resume

Proof

Representative Achievements

A focused view of education, runway experience, publication, and research contribution.

EducationView resume

SCAD · ECSCP · Tongji

SCAD Scholarship · SCAD GPA 3.54/4 · Tongji GPA 4.91/5

ShowcaseBackground

NYFW Supima 2014

SCAD's only selected design for the Supima Fashion Show.

PublicationView paper

StePO-Rec

Personalized outfit recommendation research · First author · ACM MM · CCF-A · EI indexed

SurveyView paper

RAG Survey

The field's first survey paper · highly cited RAG survey · core method-diagram contribution

Fashion

Womenswear Design, Collection Development, and Design Management

From commercial womenswear development to occasionwear brand building, this section focuses on how I organize trend research, brand translation, product structure, and sample follow-up into a complete fashion workflow.

Enter Fashion
CILIARISH collection 1 key look

Ready-to-Wear / ODM / Collection Development

CILIARISH Ready-to-Wear

Cilia Rise hero look

Occasionwear / Brand Build / Customer-led Design

Cilia Rise Occasionwear

In the Name of Scars final look

Concept Narrative / Form Study

In the Name of Scars

Supima runway look

Color / Print / Runway Development

Supima

Selected Cases

Core Fashion AI Projects

Research → System → Product → Playful Branch

01Research foundation

StePO-Rec

Method-design research for personalized outfit recommendation.

knowledge-guided recommendation

First author · ACM MM · Recall@1 +28.3% · MAP +32.8%

02System prototyping

FashionAgent

A multi-agent system prototype built around personalized outfit recommendation.

multi-agent decomposition

Multi-role decomposition · Explainable recommendation · Method and architecture base for OUTFITTED

03Product convergence

OUTFITTED

AI agent fashion product design and product convergence.

usable agent product

Independent AI product build · A multi-agent product chain from need interpretation to preference memory

04Playful branch

包治百病

Gift-decision app / playful branch.

vibe-coded side application

Independent build · Style quiz, brand matching, and a pixel-fashion interface language

Research Visuals

Visualizing complex research structure

Taxonomy → Timeline → Framework → Evaluation → Collaboration

Compressing complex research into visual information that can be understood quickly.

Content distillation: identify the few structural ideas that matter inside dense papers, surveys, and method stacks

Research logic: organize timelines, paradigm differences, method relations, and reasoning paths into one navigable system

Visual expression: make diagrams feel both analytically clear and editorially resolved

01

Fragments

• Modular RAG-3
z_Modular RAG-3
• Modular RAG-总结图
z_Modular RAG-总结图
• Rainbow Potion
Rainbow Potion 7-needle
• Flare
flare
02

Paradigms

• RAG Paradigms
Comparison between the three paradigms of RAG
• Hierarchical Multi-Agent
Hierarchical multi-agent execution
• Dual Fine-Tuning
Dual fine-tuning
• Retriever FT
retrieverFT
• Decision-Support Workflow
Decision-support workflow
• U-NIAH
U-NIAH framework
• Iter-RetGen
ITER-RETGEN
03

Taxonomy

• Human-AI Evolution
Human-AI collaboration evolution
• Urban Planning Taxonomy
Task taxonomy of LLMs in urban planning
• Modular Case
Case of current Modular RAG
• Modular RAG-1
z_Modular RAG-1
• Cost quadrant diagram
Cost quadrant diagram
• Linear RAG Flow
Linear RAG flow pattern
• RAG_CASE图-英文-0103修改
z_RAG_CASE图-英文-0103修改
04

Reasoning

• RAG + Reasoning Gains
Advantages of Combining RAG with Reasoning
• TOC
toc
• Practical Guide
Practical Guide on RAG & Reasoning
• Spatial Scales
Different spatial scales in urban planning tasks
• From LLM to RAG Then to RAG + Reasoning
From LLM to RAG and then to RAG + Reasoning
• Synergy Optimization
Implementation and optimization of the synergy
• Modular RAG-框架图
z_Modular RAG-框架图
• Databricks
z_databricks
05

Evaluation

• loop
loop
• Co-creative Frameworks
Representative co-creative frameworks
• four evaluation dimensions
The four evaluation dimensions
• Modular RAG-2
z_Modular RAG-2
• RAG vs Optimization
RAG vs other model optimization methods
• OpenAI
z_OPENAI
• Three RAG Paradigms
Comparison between three RAG paradigms
• Assistant Architectures
Typical conversational assistant architectures
06

Architectures

• purpose of the synergy
The purpose of the synergy
• Post-Retrieval Branching
Post-retrieval branching flow pattern
• generatorFT
generatorFT
• Synergy Patterns
Patterns of Synergy between RAG and Reasoning
• RAG-Reasoning Timeline
Timeline of studies on RAG-reasoning synergy
• RAG flow in REPLUG
The RAG flow in REPLUG
• graphRAG
z_graphRAG
• typical pipeline of multi-m…
The typical pipeline of multi-modal fusion
07

Bias / Data

• Modular RAG-4
z_Modular RAG-4
• Bias Reassignment
Generative de-biased matching framework
• RAG Milestone 0821
z_RAG Milestone 0821
• Data Submission Flow
Data collection and user submission process
• timeline of existing RAG re…
A timeline of existing RAG research
• Conditional Flow
conditional flow pattern
08

Branches

• RRR
RRR
• Pre-Retrieval Branching
Pre-retrieval branching flow pattern
• SelfRAG
selfRAG
• Practical Settings
comprehensive and practical settings
• Naive vs Adv.
Cases of Naive RAG and Advanced RAG

Trajectory

From fashion form to system form

Fashion Design → Brand / System Thinking → AI Research → AI-Native Product Prototyping

My training began in fashion design, but what I have stayed interested in for the longest time is how structure, relationships, and systems generate style. Over the past few years, that concern has gradually expanded into research methods, knowledge modeling, and AI product prototyping.

01

Foundation

Fashion design training built a sharp sense for silhouette, material, color, and audience perception.

02

Luxury Practice

Luxury and couture work strengthened brand thinking, product judgment, and the ability to structure taste into repeatable systems.

03

Research Shift

Graduate research translated those instincts into knowledge engineering, retrieval, reasoning, and explainable recommendation methods.

04

Current Synthesis

Current product work turns that combined background into AI-native tools and interfaces that feel both domain-aware and usable.