Welcome to my homepage. I am a senior undergraduate at UW-Madison, majoring in Information Science. I was a visiting B.S. at Stanford University, Peking University. My work explores the potential for the digital life of artificial intelligence, focusing on Humanoid Intelligence (HI): Cognitive Learning, World Interaction, and Policy Simulation. I am also interested in AI application in world factors, represented by quantitative finance and agentic system.
ICLR 2026 under review
ICLR 2026 under review
NeurIPS 2025 Spotlight
TSE under revision
ByteDance
2024 - 2025
Developing and optimizing AI frameworks for large-scale agent systems.
Zhipu AI
2024 - 2025
Research and development of advanced AI algorithms and deep learning models.
H3O
2021 - 2022
Leading technology strategy and development as CTO of a startup.
Excellence Award
First Prize
President Scholarship, First-Class Scholarship
PKU-2024 | RAG
CrossCodeEval [AWS AI Labs] pointed out that LLM performs poorly in the code completion task with cross-file dependency calls. We designed dependency-chain-retrieval and mask-dual-library-retrieval to achieve SOTA performance.
THU-2024 | Data Mining
A curated, structured knowledge base that systematizes exception types and handling logic across real-world programming environments. Supports training and evaluation of agents like Seeker for robust code synthesis.
ByteDance-2024 | iOS, Swift, CoreML
Lightweight, intent-driven UI Agent framework for mobile environments with real-time multimodal interaction. Leverages Apple's native CoreML architecture for responsive user interfaces with EdgeSAM integration.
PKU-2024 | 200+ Stars
Novel network architecture based on Fourier Analysis, empowering the ability to efficiently model and reason about periodic phenomena by integrating Fourier Series into neural network structure.
EIE-2022 | Startup, CTO
Served as CTO of startup company, responsible for architecture design, function design and prototype construction. Received 500,000 RMB investment from Songshan Lake XbotPark Robot Base.
EIE-2021 | National Excellence Award
Optimization of SLAM point cloud VoxelGrid algorithm, training perception variation coefficient to construct homeomorphic mapping compatible with indoor/outdoor environments for autonomous navigation.
I would like to express my sincere gratitude to the following mentors and collaborators who have guided and supported my research journey:
UW-Madison
Tsinghua University
Tsinghua University
Peking University
Peking University
Amazon
Amazon
Tsinghua University
ByteDance
ByteDance
ByteDance
ByteDance