Profile

About Me

I am a doctoral student in Computer Science at the University of Auckland. My work sits at the intersection of trustworthy AI, multimodal learning, and the practical behavior of language and vision-language models in real-world settings.

Doctoral Student MSc, University of Auckland BEng, Northeast Forestry University
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Overview

Academic Focus

My recent work has focused on how modern AI systems behave when they move beyond clean benchmarks and into open, context-rich environments. I am particularly interested in fairness, bias measurement, debiasing strategies, and the role of metadata in multimodal learning.

Across my thesis and recent publications, I have explored stereotypical bias in large language and vision-language models, and contributed to research on multimodal datasets that combine visual evidence with environmental signals. I care about building AI that is not only accurate, but also interpretable, robust, and socially responsible.

Trustworthy AI Machine Learning Vision-Language Models Bias Evaluation Multimodal Learning
Current Role Doctoral Student, Computer Science

Faculty of Science, University of Auckland, New Zealand.

Faculty Science

Current appointment listed on the University of Auckland profile.

Location Auckland, New Zealand

Science Centre 303S, 38 Princes St, Auckland Central.

Design

Website Design Philosophy

This website is intentionally designed around the glossy, fruity visual language of the Windows Vista and Windows 7 era. Instead of following today's flatter and more restrained portfolio patterns, it embraces glass panels, gem-like buttons, soft glows, layered reflections, and a sense of playful depth.

The goal is not only visual nostalgia, but also personality. I wanted the site to feel like a personal space shaped by the digital atmosphere of the 2000s, while still presenting academic work in a clear and organized way. In that sense, the interface is both a design choice and a small reflection of the era that shaped how I first encountered computers and the web.

I hope the fruity design of this website could bring you back to the 00s, the era I was born and grew up in.

Timeline

Academic Background

  1. Current Doctoral Student
    Faculty of Science, Computer Science, University of Auckland, New Zealand

    Current university appointment listed on the public University of Auckland profile.

  2. 1 Mar 2023 - 1 May 2025 Master of Science
    University of Auckland, Auckland, New Zealand

    Thesis work focused on stereotypical bias in large language and vision-language models.

  3. 1 Sep 2019 - 26 Jun 2023 Bachelor of Engineering
    Northeast Forestry University, Harbin, China

    Engineering training that provided the computational and mathematical foundation for later graduate research.

Snapshot

Research Snapshot

Trustworthy AI

I study how machine learning systems behave under social sensitivity, incomplete context, and real deployment constraints.

Bias & Fairness

My recent work examines stereotypical bias in large language and vision-language models, along with practical debiasing approaches.

Multimodal Learning

I am interested in combining visual signals with structured and environmental metadata to improve representation learning and decision-making.

Applied AI

I care about research that can move into useful systems, from evaluation pipelines to domain-facing applications.