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2020 – today
- 2024
[c9]Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. NAACL-HLT (Findings) 2024: 13-28- 2023
- [c8]Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang
:
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. ICCV 2023: 6339-6349 - [c7]Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang:
Masked Autoencoders Are Stronger Knowledge Distillers. ICCV 2023: 6361-6370 - [c6]Stephen Chen, Shehnaz Islam, Shanshan Lao:
The Danger of Metaphors for Metaheuristic Design. LA-CCI 2023: 1-6 - [c5]Stephen Chen, Shanshan Lao, Irene Moser:
Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality. LA-CCI 2023: 1-6 - [i4]Taiqiang Wu, Cheng Hou, Zhe Zhao, Shanshan Lao, Jiayi Li, Ngai Wong, Yujiu Yang:
Weight-Inherited Distillation for Task-Agnostic BERT Compression. CoRR abs/2305.09098 (2023) - 2022
- [c4]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2022: 950-966 - [c3]Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang:
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. CVPR Workshops 2022: 1139-1148 - [c2]Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang:
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. CVPR Workshops 2022: 1190-1199 - [c1]Stephen Chen, Shanshan Lao, Irene Moser:
Particle swarm optimization with average-fitness based selection. GECCO Companion 2022: 81-84 - [i3]Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang:
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. CoRR abs/2204.08958 (2022) - [i2]Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang:
Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. CoRR abs/2204.10485 (2022) - [i1]Zhendong Yang, Zhe Li, Yuan Gong, Tianke Zhang, Shanshan Lao, Chun Yuan, Yu Li:
Rethinking Knowledge Distillation via Cross-Entropy. CoRR abs/2208.10139 (2022)
Coauthor Index
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