Shi, Feng

12 publications

IJCAI 2025 AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-Trained Diffusion Models for Image Editing Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu

ICML 2023 Alternately Optimized Graph Neural Networks Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang

NeurIPS 2023 Towards Label Position Bias in Graph Neural Networks Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang

AAAI 2022 Learning from the Tangram to Solve Mini Visual Tasks Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

WACV 2022 Self-Supervised Shape Alignment for Sports Field Registration Feng Shi, Paul Marchwica, Juan Camilo Gamboa Higuera, Michael Jamieson, Mehrsan Javan, Parthipan Siva

IJCAI 2019 Rapid Performance Gain Through Active Model Reuse Feng Shi, Yufeng Li

AAAI 2018 Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

WACV 2015 Gradient Boundary Histograms for Action Recognition Feng Shi, Robert Laganière, Emil M. Petriu

NeurIPS 2015 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen

ICCV 2013 Robust Trajectory Clustering for Motion Segmentation Feng Shi, Zhong Zhou, Jiangjian Xiao, Wei Wu

CVPR 2013 Sampling Strategies for Real-Time Action Recognition Feng Shi, Emil Petriu, Robert Laganiere

CVPRW 2009 Cortical Enhanced Tissue Segmentation of Neonatal Brain MR Images Acquired by a Dedicated Phased Array Coil Feng Shi, Pew-Thian Yap, Yong Fan, Jie-Zhi Cheng, Lawrence L. Wald, Guido Gerig, Weili Lin, Dinggang Shen