Publications
Research on diffusion models, synthetic data, visual learning, multimodal generation, and agent communication. Underlined authors contributed equally.
See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents
Siyi Chen, Xiaoyan Zhang, Meng Wu, Jonathan Tremblay, Valts Blukis, Stan Birchfield, Rene Vidal, Alvaro Velasquez, Sijia Liu, Qing Qu
arXiv preprint 2026
Studying dense KV-cache alignment to transfer context and reasoning across different language models.
Generalization of Diffusion Models Arises with a Balanced Representation Space
Zekai Zhang, Xiao Li, Xiang Li, Lianghe Shi, Meng Wu, Molei Tao, Qing Qu
ICLR (Poster) 2026
Connecting balanced and spiky representations to generalization and memorization, with applications to detection and image editing.
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective
Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu
NeurIPS (Spotlight) 2025
Explaining collapse as a transition from generalization to memorization, and studying entropy-based data selection for recursive training.
Coarse-to-Fine Hierarchical Alignment for UAV-based Human Detection using Diffusion Models
Wenda Li, Meng Wu, Liangzhao Chen, Sungmin Eum, Heesung Kwon, Qing Qu
arXiv preprint 2025
Bridging synthetic and real UAV imagery through global style transfer, local refinement, and hallucination removal.
Convolution Meets Transformer: Efficient Hybrid Transformer for Semantic Segmentation with Very High Resolution Imagery
Yuji Wang, Ruojun Zhao, Shicai Wei, Jingchen Ni, Meng Wu, Yang Luo, Chunbo Luo
IEEE IGARSS 2024