Keming Wu吴科明Ph.D. Student, Tsinghua University
Beijing, China |
 |
About
I am a Ph.D. student at the School of Software at Tsinghua University and in close collaboration with Prof. Wenhu Chen at the University of Waterloo. 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
- 2025.10 Two papers are released: one focusing on deep research agents evaluation, and the other on generative image evaluation.
- 2025.09 Two papers are released: one focusing on image editing reward model, and the other on generative video evaluation.
- 2025.08 One paper got accepted by ACM MM 2025 Brave New Ideas Track (Oral).
- 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)-
EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing [WebPage] [Code]
Keming Wu, Sicong Jiang, Max Ku, Ping Nie, Minghao Liu, Wenhu Chen
Preprint
-
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
-
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
-
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
-
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
Preprint
Other Publications
(* equal contribution)-
A Rigorous Benchmark with Multidimensional Evaluation for Deep Research Agents: From Answers to Reports [PDF] [WebPage]
Yang Yao, Yixu Wang, Yuxuan Zhang, Yi Lu, Tianle Gu, Lingyu Li, Dingyi Zhao, Keming Wu, Haozhe Wang, Ping Nie, Yan Teng, Yingchun Wang
Preprint
-
VideoScore2: Think before You Score in Generative Video Evaluation [PDF] [WebPage] [Code]
Xuan He, Dongfu Jiang, Ping Nie, Minghao Liu, Zhengxuan Jiang, Mingyi Su, Wentao Ma, Junru Lin, Chun Ye, Yi Lu, Keming Wu, Benjamin Schneider, Quy Duc Do, Zhuofeng Li, Yiming Jia + 9 more authors
Preprint
-
Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction [PDF]
Haozhe Jia, Wenshuo Chen, Zhihui Huang, Lei Wang, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Bowen Tian, Yutao Yue
ACM MM 2025 Brave New Ideas Track（Oral）
-
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
-
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
Preprint
-
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
-
A Novel Quantum Belief Entropy for Uncertainty Measure in Complex Evidence Theory [PDF]
Keming Wu, Fuyuan Xiao
Information Sciences 2024
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
- ICLR 2026
© Keming Wu | Last updated: 2025/10/6