Fang, Xiangzhong

7 publications

ICML 2025 Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang

ICLR 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang

AAAI 2025 Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation Rui Shi, Yishun Dou, Zhong Zheng, Xiangzhong Fang, Wenjun Zhang, Bingbing Ni

ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

CVPR 2023 Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation Linglan Zhao, Jing Lu, Yunlu Xu, Zhanzhan Cheng, Dashan Guo, Yi Niu, Xiangzhong Fang

WACV 2021 Class-Wise Metric Scaling for Improved Few-Shot Classification Ge Liu, Linglan Zhao, Wei Li, Dashan Guo, Xiangzhong Fang

ECCVW 2018 Knowing Where to Look? Analysis on Attention of Visual Question Answering System Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang