NTIRE 2022 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Radu Timofte; Yuan Gong 002; Shanshan Lao; Shuwei Shi; Jiahao Wang; Sidi Yang; Tianhe Wu; Weihao Xia 001; et al. (CVPR Workshops, 2022)

Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network. - Shanshan Lao; Yuan Gong 002; Shuwei Shi; Sidi Yang; Tianhe Wu; Jiahao Wang; Weihao Xia 001; Yujiu Yang (CVPR Workshops, 2022)

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment. - Sidi Yang; Tianhe Wu; Shuwei Shi; Shanshan Lao; Yuan Gong 002; Mingdeng Cao; Jiahao Wang; Yujiu Yang (CVPR Workshops, 2022)

Particle swarm optimization with average-fitness based selection. - Stephen Chen 001; Shanshan Lao; Irene Moser (GECCO Companion, 2022)

Rethinking Knowledge Distillation via Cross-Entropy. - Zhendong Yang; Zhe Li; Yuan Gong 002; Tianke Zhang; Shanshan Lao; Chun Yuan; Yu Li 003 (CoRR, 2022)

UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

Masked Autoencoders Are Stronger Knowledge Distillers. - Shanshan Lao; Guanglu Song; Boxiao Liu; Yu Liu 015; Yujiu Yang (ICCV, 2023)

The Danger of Metaphors for Metaheuristic Design. - Stephen Chen 001; Shehnaz Islam; Shanshan Lao (LA-CCI, 2023)

Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality. - Stephen Chen 001; Shanshan Lao; Irene Moser (LA-CCI, 2023)

Weight-Inherited Distillation for Task-Agnostic BERT Compression. - Taiqiang Wu; Cheng Hou; Shanshan Lao; Jiayi Li 002; Ngai Wong 001; Zhe Zhao 006; Yujiu Yang (NAACL-HLT (Findings), 2024)

AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion. - Mingzhen Sun; Weining Wang 001; Gen Li; Jiawei Liu 001; Jiahui Sun; Wanquan Feng; Shanshan Lao; SiYu Zhou 002; Qian He; Jing Liu 001 (CVPR, 2025)