Zhang, Zekai

10 publications

NeurIPS 2025 A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective Lianghe Shi, Meng Wu, Huijie Zhang, Zekai Zhang, Molei Tao, Qing Qu

ICLRW 2025 Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu

NeurIPS 2025 Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

AAAI 2025 Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline Zekai Zhang, Qinghui Chen, Maomao Xiong, Shijiao Ding, Zhanzhi Su, Xinjie Yao, Yiming Sun, Cong Bai, Jinglin Zhang

NeurIPSW 2024 Diffusion Model Learns Low-Dimensional Distributions via Subspace Clustering Peng Wang, Huijie Zhang, Zekai Zhang, Siyi Chen, Yi Ma, Qing Qu

AISTATS 2024 Efficient Low-Dimensional Compression of Overparameterized Models Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu

AAAI 2024 ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution Shuyao Shang, Zhengyang Shan, Guangxing Liu, Lunqian Wang, Xinghua Wang, Zekai Zhang, Jinglin Zhang

ICML 2024 StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan

NeurIPSW 2024 Understanding Diffusion-Based Representation Learning via Low-Dimensional Modeling Xiao Li, Zekai Zhang, Xiang Li, Siyi Chen, Zhihui Zhu, Peng Wang, Qing Qu

ICCV 2023 LeaF: Learning Frames for 4D Point Cloud Sequence Understanding Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi