Kuang-Da Wang
PhD Candidate, Institute of Computer Science and Engineering
National Yang Ming Chiao Tung University (NYCU), Taiwan
Kuang-Da is currently a PhD Candidate in the Institute of Computer Science and Engineering at National Yang Ming Chiao Tung University (NYCU). His academic journey is marked by an interdisciplinary foundation, holding a Master’s degree in Network Engineering from NYCU and a Bachelor’s degree in Engineering Science from National Cheng Kung University (NCKU), following initial studies in Psychology.
His current research focuses on the cutting edge of AI, encompassing Deep Learning, Reinforcement Learning, Large Language Model (LLM) alignment, and Intelligent Agents tailored for diverse application contexts.
Furthermore, Kuang-Da maintains a strong interest in the cross-disciplinary applications of Sport Data Science and the use of AI methodologies to support research in Psychology.
Research Interests
Deep Learning
Reinforcement Learning
LLM Alignment
Intelligent Agents
Sport Data Science
Experience
Research Intern, Sony Group Corporation (SGC)
Worked on multimodal LLM agents for layout-, content-, and visually aligned landing webpage generation.
PhD Researcher, National Yang Ming Chiao Tung University (NYCU)
Research on reinforcement learning, LLM alignment, and intelligent agents across real-world applications.
AI Intern, Taiwan Semiconductor Manufacturing Company (TSMC)
Developed LLM-based document intelligence and multi-agent retrieval systems for financial reports
and enterprise knowledge.
Selected Publications
TMPC: Test-Time Alignment for Large Language Models via Textual Model Predictive Control
Awards
- [Nov. 2023] Master Thesis Award, Taiwanese Association for Artificial Intelligence (TAAI)
- [Sep. 2023] Outstanding Doctoral Student Scholarship, Ministry of Science and Technology (Taiwan)
Academic Services
Program Committee: ECML-PKDD 2024, KDD 2025, WWW 2026
Contact
Email: gdwang.cs12@nycu.edu.tw
Feel free to reach out for collaborations in AI, intelligent agents, and sport or psychology-related applications.