University of Wisconsin–Madison · Department of Statistics
Research Intern.
Academic homepage
Undergraduate Researcher in Computer Science
School of Computer Science and Technology, East China Normal University
Shanghai, China
I am an undergraduate student in Computer Science and Technology at East China Normal University. My research focuses on audio representation learning, domain adaptation, Sim2Real transfer, and LLM personalization and alignment.
I am particularly interested in building transferable, reliable, and personalized intelligent systems that remain useful under distribution shifts and diverse user needs.
I am actively seeking research collaborations and summer internship opportunities in 2027/2028.
My current work spans physics-inspired neural networks and multimodal domain adaptation at the Institute of Software, Chinese Academy of Sciences; personalized alignment for AI safety at the Shanghai Institute for Intelligent Education; and Sim2Real audio representation learning at Shanghai Jiao Tong University.
I received the BYD Scholarship and the Hero Scholarship awarded by Hero Esports.
CASTLE was selected for an oral presentation at EMNLP 2026.
Information Processing & Management accepted EduAgentQG for publication.
PRP was published in IEEE/ACM Transactions on Audio, Speech, and Language Processing.
From Physics to Representation was accepted to ACM ICMR 2026.
TopoSHIELD was accepted to Findings of ACL 2026.
Began research at the Institute of Software, Chinese Academy of Sciences, on physics-inspired neural networks and multimodal domain adaptation.
CASTLE was first released on arXiv.
STAR-RFF was accepted to IEEE ICASSP 2026.
Began research at the Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, on Sim2Real audio representation learning.
The Emergence of Shared Norms in Decentralized Networks was accepted to ICSC 2025.
SMRC was first released on arXiv.
EduAgentQG was first released on arXiv.
Began research on personalized alignment for AI safety at the Shanghai Institute for Intelligent Education.
Research Intern.
Research on physics-inspired neural networks and multimodal domain adaptation.
Research on personalized alignment for AI safety.
Research on audio representation learning for Sim2Real transfer.
Introduces procedural-to-real masked pre-training for transferable and interpretable audio representations.
Introduces AudioPG, trained without real audio; it reaches 90.60% on ESC-50 after less than 20 minutes of single-GPU pre-training.
Uses spatio-temporal graph modeling to improve robust radio-frequency fingerprint identification under changing sensing conditions.
Proposes a semantic coordination game to quantify the trade-off between communication efficiency and expressive capacity in scale-free networks.
Builds a bilingual benchmark of 92,908 examples spanning 15 educational-risk dimensions and 14 student attributes.
Uses Monte Carlo Tree Search and process reward models to preserve students' correct reasoning steps during mathematical error correction.
Introduces a multi-agent workflow for personalized question generation.
Dynamically reshapes multi-agent interaction topology to suppress the propagation of malicious information.
SAMPLESELECT learns a sample-conditioned feature mask for few-shot audio classification under background shifts while keeping the encoder frozen.
Separates formula-class coverage from rendering diversity and examines how procedural audio sources affect scaling benefits and pre-training objectives.
Major-course ranking: top 15% · Comprehensive evaluation rank: 1st · BYD Scholarship, 2026. Project 985, Project 211, Double First-Class University (Class A).
Selected coursework: Introduction to Computer Science 94/100 · Data Visualization 93/100 · Artificial Intelligence 92/100 · Machine Learning 89/100 · Mathematical Analysis II 89/100
Secondary education.
A multi-agent collaborative cloud platform for personalized moral education in underserved and remote regions.
A local-first academic outreach system combining scholar retrieval, retrieval-augmented generation, personalized drafting, and human-in-the-loop safety controls.
A privacy-conscious psychological sandbox system with multimodal data collection and browser-side inference using ONNX Runtime Web.