About

A personal academic profile with research motivation and long-term direction

This page keeps the tone scholarly and direct, with room for a portrait, a concise narrative, and a clear view of technical strengths.

Portrait

Conference photo

Portrait

Background

I am an Information and Computing Science undergraduate at Xi'an Jiaotong-Liverpool University. My recent work includes audio question answering, modality importance analysis, and challenge-oriented audio system development.

Research motivation

What motivates me most is understanding what kinds of abstractions audio models learn, how those abstractions transfer across tasks, and how to diagnose failures when performance depends too heavily on superficial cues rather than the intended level of audio understanding.

Technical strengths

Audio question answering system development
PyTorch, HuggingFace, and experimental evaluation
Modality importance analysis and ablation design
Technical writing for workshop and challenge papers

Research proposal direction

My research proposal focuses on hierarchical audio intelligence: a unified, testable representation and evaluation protocol that identifies abstraction levels, measures cross-task transfer, and connects hierarchy to compute-efficient adaptation and robustness.