Max W.F. Ku

I am a first-year Computer Science PhD student at the Faculty of Mathematics, University of Waterloo, advised by Prof. Wenhu Chen.

I work on media generation and editing, focusing on visuals. My past research includes controllable generation and editing, and evaluation of generative models, with applications in content creation and automated multimedia synthesis.

I care about controllability, robustness, and usability of the models. I am generally interested in research areas containing the following keywords:

Generative AI
Controllable Generation / Editing
Multi Modalities (Visuals + X)
Cognitive Load & Interpretability

news

Nov 03, 2024	AnyV2V got accepted to TMLR 2024.
Sep 26, 2024	GenAIArena got accepted to NeurIPS 2024! See you in Vancouver!
May 15, 2024	VIEScore got accepted to ACL 2024 Main! See you in Bangkok!
Jan 15, 2024	ImagenHub got accepted to ICLR 2024! See you in Vienna!

latest posts

Feb 25, 2025	Paper Review - Audio-Visual Related Research (WIP)
Jan 14, 2025	Implementing RAG for Code Library Documentation
Jan 08, 2025	Evaluating Protein Transfer Learning with TAPE

selected publications

ArXiv 2025

TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding

Max Ku*, Thomas Chong*, Jonathan Leung, Krish Shah, Alvin Yu, and 1 more author

2025

arXiv Bib Website

@misc{ku2025theoremexplainagentmultimodalexplanationsllm,
  title = {TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding},
  author = {Ku*, Max and Chong*, Thomas and Leung, Jonathan and Shah, Krish and Yu, Alvin and Chen, Wenhu},
  year = {2025},
  selected = true,
  bibtex_show = false
}

NeurIPS 2024

GenAI Arena: An Open Evaluation Platform for Generative Models

Dongfu Jiang*, Max Ku*, Tianle Li*, Yuansheng Ni, Shizhuo Sun, and 2 more authors

2024

arXiv Bib Website

@misc{jiang2024genai,
  title = {GenAI Arena: An Open Evaluation Platform for Generative Models},
  author = {Jiang*, Dongfu and Ku*, Max and Li*, Tianle and Ni, Yuansheng and Sun, Shizhuo and Fan, Rongqi and Chen, Wenhu},
  year = {2024},
  journal = {Conference on Neural Information Processing Systems},
  selected = true,
  bibtex_show = false
}

TMLR 2024

AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Max Ku*, Cong Wei*, Weiming Ren*, Harry Yang, and Wenhu Chen

Transactions on Machine Learning Research, 2024

arXiv Bib Code Website

@article{ku2024anyv2v,
  title = {AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks},
  author = {Ku*, Max and Wei*, Cong and Ren*, Weiming and Yang, Harry and Chen, Wenhu},
  journal = {Transactions on Machine Learning Research},
  year = {2024},
  selected = true,
  bibtex_show = false
}

ACL 2024

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, and Wenhu Chen

In The 62nd Annual Meeting of the Association for Computational Linguistics , 2024

arXiv Bib Code Website

@inproceedings{Ku2023VIEScoreTE,
  title = {VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation},
  author = {Ku, Max and Jiang, Dongfu and Wei, Cong and Yue, Xiang and Chen, Wenhu},
  booktitle = {The 62nd Annual Meeting of the Association for Computational Linguistics},
  year = {2024},
  selected = true,
  bibtex_show = false
}

ICLR 2024

ImagenHub: Standardizing the evaluation of conditional image generation models

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, and 2 more authors

In The Twelfth International Conference on Learning Representations , 2024

arXiv Bib Code Website

@inproceedings{ku2024imagenhub,
  title = {ImagenHub: Standardizing the evaluation of conditional image generation models},
  author = {Ku, Max and Li, Tianle and Zhang, Kai and Lu, Yujie and Fu, Xingyu and Zhuang, Wenwen and Chen, Wenhu},
  booktitle = {The Twelfth International Conference on Learning Representations},
  year = {2024},
  twitter = {https://twitter.com/vinesmsuic/status/1717564355212951701},
  selected = true,
  bibtex_show = false
}