Shanshan Lao

According to our database, Shanshan Lao authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Weight-Inherited Distillation for Task-Agnostic BERT Compression.

Taiqiang Wu, Cheng Hou, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality.

Stephen Chen, Shanshan Lao, Irene Moser

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

The Danger of Metaphors for Metaheuristic Design.

Stephen Chen, Shehnaz Islam, Shanshan Lao

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Masked Autoencoders Are Stronger Knowledge Distillers.

Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors.

Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Rethinking Knowledge Distillation via Cross-Entropy.

Zhendong Yang, Zhe Li, Yuan Gong, Tianke Zhang, Shanshan Lao, Chun Yuan, Yu Li

CoRR, 2022

Particle swarm optimization with average-fitness based selection.

Stephen Chen, Shanshan Lao, Irene Moser

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment.

Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network.

Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022