Jiemin Fang (方傑民)¶

Email: jaminfong [AT] hust [DOT] edu [DOT] cn
GitHub | Google Scholar | DBLP

I am a PhD candidate at the Institute of Artificial Intelligence and School of Electronic Information and Communications, Huazhong University of Science and Technology. I am supervised by Prof. Wenyu Liu and Prof. Xinggang Wang. I received my B.E. degree from EIC, Huazhong University of Science and Technology in 2018. My research interests include AutoML and efficient deep learning.

News¶

Jul. 2021 - One paper is accepted by ICCV 2021.
Dec. 2020 - "FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search" is published in IEEE TPAMI.
Nov. 2020 - I have released a PyTorch toolkit dali-pytorch for accelerating ImageNet training with NVIDIA DALI. It improves the training speed dramatically with maintaining high performance.

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang*, Yuzhu Sun*, Qian Zhang, Kangjian Peng, Yuan Li, Wenyu Liu, Xinggang Wang
Transactions on Pattern Analysis and Machine Intelligence (TPAMI) PDF | Code | BibTeX
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Jiemin Fang*, Yukang Chen*, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang
accepted by SCIENCE CHINA Information Sciences (SCIS) PDF | Code | BibTeX
EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
Wenqiang Zhang*, Jiemin Fang*, Xinggang Wang, Wenyu Liu
accepted by Computational Visual Media PDF | Code | BibTeX

Densely Connected Search Space for More Flexible Neural Architecture Search
Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
CVPR 2020 PDF | Code | BibTeX
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang*, Yuzhu Sun*, Kangjian Peng*, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
ICLR 2020 PDF | Code | BibTeX
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu
NeurIPS 2021 PDF | Code | BibTeX
Hierarchical Aggregation for 3D Instance Segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang
ICCV 2021 PDF | Code | BibTeX
Deep Multi-instance Learning with Dynamic Pooling
Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang
ACML 2018 PDF | BibTeX

MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian
arXiv:2105.15168 PDF | Code | BibTeX
Bag of Instances Aggregation Boosts Self-supervised Learning
Haohang Xu*, Jiemin Fang*, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian
arXiv:2107.01691 PDF | Code | BibTeX
ResizeMix: Mixing Data with Preserved Object Information and True Labels
Jie Qin*, Jiemin Fang*, Qian Zhang, Wenyu Liu, Xingang Wang, Xinggang Wang
arXiv:2012.11101 PDF | BibTeX

Reviewer of

I ever participated in RoboMaster Robotics Competition. I worked on embedded development and achieved the national second prize in 2017. I served as the captain of the team and achieved the national second prize in 2018.

Since Feb. 2021