PhD Researcher · TUM Germany & SMU/NTU Singapore

Hi,
I am Huang Kai.
Welcome.

Doctoral candidate at the Technical University of Munich, researching large language models for automated program repair — with a focus on multimodal software engineering.

Huang Kai presenting at conference
2x
ACM SIGSOFT
Distinguished
1x
DAAD IFI
Scholarship
01

About Me

Huang Kai

Huang Kai @TUM

Technical University of Munich

Chair of Software Engineering & AI

I am HUANG Kai, a 2nd-year doctoral candidate at the Technical University of Munich (TUM), advised by Prof. Dr. Chunyang Chen. And I am also a research engineer at SMU/NTU Singapore.

My research interest lies in large language models for automated program repair (LLM4APR), with a particular emphasis on multimodal bug scenarios such as front-end development and visualization-based interactions.

I have published 6 papers (5 first author, 1 co-first author) in top conferences and journals including ICSE, ASE, TSE, and CSUR, and received two ACM SIGSOFT Distinguished Paper Awards (ASE 2023 and ASE 2025).

Recently, I have been working on multimodal software engineering and visual reasoning for SE.

👉 I am actively seeking opportunities for research collaboration and providing BS/MS thesis mentoring for TUM/NTU students. If you are interested in my research, I would be very glad to hear from you at kai-kevin.huang@tum.de.
02

Publications

[1]

An Empirical Study on Fine-tuning Large Language Models of Code for Automated Program Repair

Kai Huang, Xiangxin Meng, Jian Zhang, Yang Liu, et al. 2023.

ASE 2023 ACM SIGSOFT Distinguished Paper Award
[2]

Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities

Kai Huang, Zhengzi Xu, Su Yang, Hangyu Sun, et al. 2024.

CSUR
[3]

Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair

Kai Huang, Jian Zhang, Xinlei Bao, Xu Wang, et al. 2025.

TSE
[4]

Template-Guided Program Repair in the Era of Large Language Models

Kai Huang, Jian Zhang, Xiangxin Meng, Yang Liu. 2025.

ICSE 2025
[5]

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair

Kai Huang, Jian Zhang, Xiaofei Xie, Chunyang Chen. 2025.

ASE 2025 ACM SIGSOFT Distinguished Paper Award
[6]

Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search

Jiayi Zhang*, Kai Huang*, Jian Zhang, Yang Liu, Chunyang Chen. 2026.

ICSE 2026 *Co-first Author
03

Selected Works

Conference presentation

ASE 2023 · Luxembourg

Distinguished Paper Presentation — Fine-tuning LLM for APR

Seeing is Fixing

ASE 2025 · Seoul

Distinguished Paper Presentation — Visual Reasoning for APR

04

Invited Talks

JetBrains Research

Multimodal LLMs for Visual Software Issue Repair

View ↗

Moonshot AI

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Repair

View ↗

TruX @ University of Luxembourg

Fine-tuning Large Language Models of Code for Automated Program Repair

View ↗
05

Awards & Funding

ACM SIGSOFT Distinguished Paper Award

ASE 2025

ACM SIGSOFT Distinguished Paper Award

ASE 2023

DAAD IFI Scholarship

€38,400 EUR

CSC Scholarship

$26,400 SGD

ACM SIGSOFT CAPS Funding

Conference support

ICSE'26 Student Mentoring Workshop Funding

2026

06

Service

Reviewer

  • Information and Software Technology
  • The Journal of Systems & Software

Community

  • ICSE 2026 Student Mentoring Workshop
  • ACM SIGSOFT Member