Fang, Jun

6 publications

NeurIPS 2025 Salient Concept-Aware Generative Data Augmentation Tianchen Zhao, Xuanbai Chen, Zhihua Li, Jun Fang, Dongsheng An, Xiang Xu, Zhuowen Tu, Yifan Xing

ECCV 2024 Open-World Dynamic Prompt and Continual Visual Representation Learning Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer

ICLR 2024 Threshold-Consistent Margin Loss for Open-World Deep Metric Learning Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

NeurIPS 2022 An In-Depth Study of Stochastic Backpropagation Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe

ECCV 2022 Towards Regression-Free Neural Networks for Diverse Compute Platforms Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia

ECCV 2020 Post-Training Piecewise Linear Quantization for Deep Neural Networks Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun