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ORCIDSheng Xu 0007
Person information
- affiliation: Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
Other persons with the same name
- Sheng Xu — disambiguation page
- Sheng Xu 0001
![[0000-0002-4462-6297]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4462-6297")
— National Institutes of Health, Bethesda, MD, USA (and 2 more) - Sheng Xu 0002 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
- Sheng Xu 0003 — Nanjing Forestry University, Nanjing, China (and 1 more)
- Sheng Xu 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen, China (and 1 more)
- Sheng Xu 0005 — Southern Methodist University, Department of Mathematics, Dallas, TX, USA
- Sheng Xu 0006 — Soochow University, Institute of Artificial Intelligence, Suzhou, China
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Books and Theses
- 2024
[b1]Baochang Zhang, Tiancheng Wang, Sheng Xu, David S. Doermann:
Neural Networks with Model Compression. Springer 2024, ISBN 978-981-99-5067-6, pp. 1-260
Journal Articles
- 2024
- [j7]Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang:
RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - 2023
- [j6]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. Int. J. Comput. Vis. 131(11): 2793-2815 (2023) - 2022
- [j5]Junhe Zhao, Sheng Xu, Baochang Zhang, Jiaxin Gu, David S. Doermann, Guodong Guo:
Towards Compact 1-bit CNNs via Bayesian Learning. Int. J. Comput. Vis. 130(2): 201-225 (2022) - [j4]Sheng Xu, Yanjing Li, Linlin Yang, Baochang Zhang, Dianmin Sun, Kexin Liu:
Filter pruning via expectation-maximization. Neural Comput. Appl. 34(15): 12807-12818 (2022) - [j3]Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun:
Data-adaptive binary neural networks for efficient object detection and recognition. Pattern Recognit. Lett. 153: 239-245 (2022) - [j2]Sheng Xu, Chang Liu, Baochang Zhang, Jinhu Lü, Guodong Guo, David S. Doermann:
BiRe-ID: Binary Neural Network for Efficient Person Re-ID. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 26:1-26:22 (2022) - 2021
- [j1]Sheng Xu, Hanlin Chen, Xuan Gong, Kexin Liu, Jinhu Lü, Baochang Zhang:
Efficient structured pruning based on deep feature stabilization. Neural Comput. Appl. 33(13): 7409-7420 (2021)
Conference and Workshop Papers
- 2024
- [c16]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI 2024: 3243-3251 - [c15]Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun:
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML 2024 - 2023
- [c14]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu:
Resilient Binary Neural Network. AAAI 2023: 10620-10628 - [c13]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lü, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CVPR 2023: 3842-3851 - [c12]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CVPR 2023: 10021-10030 - [c11]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. ICCV 2023: 6692-6701 - [c10]Yanjing Li, Sheng Xu, Xianbin Cao, Xiao Sun, Baochang Zhang:
Q-DM: An Efficient Low-bit Quantized Diffusion Model. NeurIPS 2023 - 2022
- [c9]Teli Ma, Shijie Geng, Mengmeng Wang, Sheng Xu, Hongsheng Li, Baochang Zhang, Peng Gao, Yu Qiao:
Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition. BMVC 2022: 481 - [c8]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. ECCV (24) 2022: 19-35 - [c7]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü:
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors. ECCV (11) 2022: 346-361 - [c6]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. NeurIPS 2022 - 2021
- [c5]Sheng Xu, Junhe Zhao, Yanjing Li, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. BMVC 2021: 36 - [c4]Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David S. Doermann:
Layer-Wise Searching for 1-Bit Detectors. CVPR 2021: 5682-5691 - 2020
- [c3]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. ECCV Workshops (5) 2020: 315-323 - [c2]Yuan Feng, Xiaodi Wang, Ying Xin, Bin Zhang, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han:
Effective Feature Enhancement and Model Ensemble Strategies in Tiny Object Detection. ECCV Workshops (5) 2020: 324-330 - 2019
- [c1]Sheng Xu, Hanlin Chen, Kexin Liu, Jinhu Lü, Baochang Zhang:
Efficient Block Pruning Based on Kernel and Feature Stablization. DICTA 2019: 1-6
Informal and Other Publications
- 2024
- [i13]Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang:
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR abs/2403.07564 (2024) - 2023
- [i12]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv:
Resilient Binary Neural Network. CoRR abs/2302.00956 (2023) - [i11]Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, Xiantong Zhen, Baochang Zhang:
Implicit Diffusion Models for Continuous Super-Resolution. CoRR abs/2303.16491 (2023) - [i10]Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang:
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer. CoRR abs/2304.00253 (2023) - [i9]Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR abs/2305.12354 (2023) - [i8]Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo:
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs. CoRR abs/2306.15390 (2023) - [i7]Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. CoRR abs/2308.10308 (2023) - 2022
- [i6]Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv:
TerViT: An Efficient Ternary Vision Transformer. CoRR abs/2201.08050 (2022) - [i5]Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo:
Recurrent Bilinear Optimization for Binary Neural Networks. CoRR abs/2209.01542 (2022) - [i4]Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv:
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors. CoRR abs/2210.03477 (2022) - [i3]Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo:
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer. CoRR abs/2210.06707 (2022) - 2021
- [i2]Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo:
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing. CoRR abs/2111.13386 (2021) - 2020
- [i1]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. CoRR abs/2009.07506 (2020)
Coauthor Index
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