I am currently a junior undergraduate student in the School of Data Science and Engineering (DaSE) at East China Normal University (ECNU), majoring in Data Science and Big Data Technology (2023–2027).

My research interests focus on AI agents, reinforcement learning (RL), and multi-agent systems (MAS) and their real-world applications. I am fortunate to work as a research assistant in the PLANING Lab under the supervision of Prof. Xiang Li, where I explore agent-based reasoning and skill orchestration for complex problem solving.

I am currently interning at ByteDance (China Transaction & Advertising), working on client-side development for ad monetization and exploring agent technologies in advertising scenarios. Previously, I built LiveCompose — an RL-powered on-device photography composition assistant published on the App Store.

🔥 News

• 2026.07: 🚀 Started as a Client Development Intern at ByteDance, working on ad monetization and Agent systems.
• 2026.06: 🎉 AIAdStream project recognized as an Outstanding Project at ByteDance Engineering Training Camp.
• 2026.06: 📱 LiveCompose (构妙) iOS app officially launched on the App Store!
• 2025.12: 📑 LiveCompose project completed with a research paper, recognized as a National-Level Innovation Project.
• 2025.03: 🎯 Started LiveCompose — an RL-based on-device photography composition assistant (National Innovation Project).
• 2024 & 2025: 🎓 Received ECNU Excellent Student Award and University Scholarship for two consecutive years.

💼 Internship

• ByteDance — China Transaction & Advertising · Client Development Intern
  2026.07 – Present | Shanghai, China
  • Contributing to Douyin's ad monetization client development — ad display, interaction, and performance optimization.
  • Exploring Agent technology applications in advertising scenarios, designing and implementing intelligent agent systems.

🚀 Projects

• LiveCompose (构妙): RL-Based On-Device Photography Composition Assistant
  App Store • National Innovation Project • 2025.03 – 2026.06
  Role: Project Lead & Sole Developer
  Highlights: Designed an Actor-Critic RL architecture with a GAIC aesthetic scoring model as the reward signal. Trained and deployed the model to iOS via CoreML for real-time on-device inference (crop box IoU: 79.68%). Built a 17K-image professional composition dataset released on HuggingFace. Developed the full iOS app in Swift and published it to the App Store.
  GitHub App Store
• AIAdStream: AI-Powered Smart Advertising Feed iOS Client
  ByteDance Engineering Camp • Outstanding Project • 2026.05 – 2026.06
  Tech Stack: SwiftUI + MVVM + SQLite
  Highlights: Built a single-column ad feed with three card types (big image, small image, video) and strategy pattern architecture. Integrated conversational AI search with Function Calling (5 tools: search, detail, similar ads, web search, AI enhance). Added "Fun Rewrite" — AI-powered ad copy generation in 4 styles with typewriter animation. Designed a comprehensive analytics dashboard with KPI metrics, daily trends, and channel distribution. Achieved 38 XCTest unit tests, full Dark Mode support, and iOS 26 Liquid Glass design compliance.
  GitHub

🏆 Awards & Honors

• Outstanding Project Award — ByteDance Engineering Training Camp (AIAdStream), 2026
• National-Level Innovation & Entrepreneurship Project — LiveCompose, successfully completed with paper, 2025
• ECNU Excellent Student Award & University Scholarship — Consecutive years 2024, 2025

🎓 Education

• East China Normal University (ECNU) — B.Eng., Data Science & Big Data Technology
  2023.09 – 2027.06 | Shanghai, China