Fudan University · Artificial Intelligence

Wang Chenghao 王宬皓

I build the data pipelines, evaluation tools, and multimodal experiments that make intelligent systems more useful.

01 / profile

A short introduction.

Education

Fudan University

Shanghai · Sep 2023–present

Undergraduate in Artificial Intelligence
Integrated undergraduate–graduate track · Computer Science class

Grade

大三 / Year 3

As listed on my current résumé

Focus

Multimodal AI

Video understanding · data engineering · evaluation tooling

Toolbox

PythonC / C++Vue 3FlaskASR / TTSOCR grounding

02 / experience

Research, from data to demo.

Sep 2025–presentOpenMOSS Laboratory

Research intern · Streaming Video Understanding Team

Video-understanding large models & data engineering

  • Designed a data pipeline around PB-scale capacity; the delivered filtering workflow improved speed by 100% over the previous process.
  • Built six Vue 3 + Flask internal applications for data checks, training submission, inference QA, resource management, and interactive demos.
  • Supported approximately 2M OCR-grounding captions, 1M identity-cognition records, and 60M fine-grained text labels.
May–Dec 2024Fudan University

Research intern · Large-model NLP data construction & cleaning

Building usable datasets from the ground up

  • Reproduced an MBTI personality dialogue dataset and expanded it with structured role-card collections.
  • Implemented sensitive-word data cleaning and quality checks for a high-quality emotional-dialogue database.

03 / projects

Selected repositories.

All projects on GitHub ↗

Project links point to public repositories; descriptions are intentionally brief and résumé-like.

04 / paper

MOSS-Video-Preview.

Toward Real-Time Video Understanding via Cross-Attention

Co-author · 2026 technical report · Fudan University (OpenMOSS project)

A cross-attention video-language foundation model designed for streaming and low-latency interaction, keeping visual perception and text generation concurrent.

05 / contact

Let’s stay in touch.

For research conversations, collaborations, or a quick hello: