Keming Wu

吴科明

Ph.D. Student, Tsinghua University

Beijing, China
Email: wukemingcqu@gmail.com wukemingcqu@163.com
[Github] [Google Scholar]

About

I am a Ph.D. student at the School of Software at Tsinghua University, advised by Assoc. Prof. Bin Wang. I received my B.E. degree from the School of Big Data & Software Engineering, Chongqing University in July, 2025 (Ranking: 1/251).

Previously, I was a research intern at Visual Computing Group, Microsoft Research Asia from September, 2024 to April, 2025. I was a research intern at Institute of Automation, Chinese Academy of Sciences from April, 2023 to January, 2024.

Currently, my research interest include topics on deep generative models and their applications in Computer Vision and Language Models.

I’m currently actively seeking for Research Assistant, or internship positions related to any of the above topics.

I’m also open to any possible discussions or collaborate opportunities. please feel free to contact me for further discussion and potential collaboration!

News

2025.06 One paper about layout to image generation got accepted by ICCV 2025 (First Author).
2025.05 One paper about multi-layer image generation is released.
2025.05 One paper got accepted by ICML 2025.
2025.02 One paper got accepted by CVPR 2025.
2024.10 One paper about information fusion got accepted by IEEE Transactions on Systems, Man and Cybernetics: Systems (CCF-B journal, First Author).
2024.07 One paper got accepted by ACM MM 2024 (My first CCF-A conference paper, First Author. Congratulations!).
2024.01 One paper got accepted by Information Sciences (CCF-B journal, First Author).

Selected Publications

(* equal contribution)

Hybrid Layout Control for Diffusion Transformer: Fewer Annotations, Superior Aesthetics [WebPage] [Code]
Keming Wu, Junwen Chen, Zhanhao Liang, Yinuo Wang, Ji Li, Chao Zhang, Bin Wang, Yuhui Yuan

ICCV 2025 (CCF-A)
BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation [PDF] [WebPage] [Code]
Yuyang Peng, Shishi Xiao, Keming Wu, Qisheng Liao, Bohan Chen, Kevin Lin, Danqing Huang, Ji Li, Yuhui Yuan

CVPR 2025 (CCF-A)
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training [PDF] [Code]
Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin CUI, Wentao Zhang

ICML 2025 (CCF-A)
A Fractal-based Complex Belief Entropy for Uncertainty Measure in Complex Evidence Theory [PDF]

Keming Wu, Fuyuan Xiao, Yi Zhang

IEEE Transactions on Systems, Man and Cybernetics: Systems 2024 (CCF B, First author)
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding [PDF] [Code]
Keming Wu*, Man Yao*, Yuhong Chou, Xuerui Qiu, Rui Yang, Bo Xu, Guoqi Li

ACM MM 2024 (CCF-A, First author)
A Novel Quantum Belief Entropy for Uncertainty Measure in Complex Evidence Theory [PDF]

Keming Wu, Fuyuan Xiao

Information Sciences 2024 (CCF B, First author)

Preprint

(* equal contribution)

PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models [PDF] [WebPage]
Junwen Chen*, Heyang Jiang*, Keming Wu*, Yanbin Wang*, Ji Li, Chao Zhang, Keiji Yanai, Dong Chen, Yuhui Yuan
Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss [PDF] [Code]
Wenshuo Chen, Haozhe Jia, Songning Lai, Keming Wu, Hongru Xiao, Lijie Hu, Yutao Yue
RMDM: Radio Map Diffusion Model with Physics Informed [PDF]
Haozhe Jia, Wenshuo Chen, Zhihui Huang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Yutao Yue

Honors & Awards

Candidate for Person of the Year (20/26,000+,Highest honor for undergraduate students in CQU), China, Oct, 2024

National Scholarship (Award Rate: 0.2% national-wide) Ministry of Education, China, Oct, 2024

National Scholarship (Award Rate: 0.2% national-wide) Ministry of Education, China, Oct, 2023

National Scholarship (Award Rate: 0.2% national-wide) Ministry of Education, China, Oct, 2022

Work Experience

[09/2024 - 4/2025] Research Intern, Microsoft Research Asia supervised by Senior Researcher Yuhui Yuan and Principal Research Manager Dong Chen.

[01/2024 - 9/2025] Research Intern, Peking University supervised by Prof. Wentao Zhang.

[04/2023 - 1/2024] Research Intern, Institute of Automation, Chinese Academy of Sciences supervised by Prof. Guoqi Li.

Professional Activities

Journal Reviewer

Conference Reviewer

TBD