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Shijie Fang
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2020 – today
- 2024
- [c5]Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin:
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. AAAI 2024: 11970-11978 - [i6]Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin:
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. CoRR abs/2403.12986 (2024) - [i5]Shijie Fang, Qianhan Feng, Tong Lin:
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning. CoRR abs/2404.11947 (2024) - [i4]Hang Yu, Qidi Fang, Shijie Fang, Reuben M. Aronson, Elaine Schaertl Short:
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots. CoRR abs/2407.06459 (2024) - 2023
- [c4]Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang:
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection. CVPR 2023: 3240-3249 - 2022
- [c3]Lingqiu Zeng, Fukun Xie, Lei Ye, Shijie Fang, Qingwen Han, Xinhai Chen, Longxiang Wang:
C-V2X Test Data Exchange Progress and Test Interface Definition. ITSC 2022: 2974-2979 - [i3]Xinjiang Wang, Xingyi Yang, Shilong Zhang, Yijiang Li, Litong Feng, Shijie Fang, Chengqi Lyu, Kai Chen, Wayne Zhang:
Consistent Targets Provide Better Supervision in Semi-supervised Object Detection. CoRR abs/2209.01589 (2022) - 2021
- [c2]Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. IJCNN 2021: 1-7 - [i2]Shijie Fang, Tong Lin:
Intra-Model Collaborative Learning of Neural Networks. CoRR abs/2105.09590 (2021) - [i1]Shijie Fang, Yuhang Cao, Xinjiang Wang, Kai Chen, Dahua Lin, Wayne Zhang
:
WSSOD: A New Pipeline for Weakly- and Semi-Supervised Object Detection. CoRR abs/2105.11293 (2021)
2000 – 2009
- 2007
- [c1]Shijie Fang, Lei Zhang, Jing Zhang, Yantao Wang:
Research on the Optimal Transmission Design of Planar Bar Mechanism. CSCWD 2007: 1134-1138
Coauthor Index
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last updated on 2024-08-17 23:44 CEST by the dblp team
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