Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Cheng-Ming Chiang; Hsien-Kai Kuo; Yu-Syuan Xu; Man-Yu Lee; Allen Lu; Chia-Ming Cheng; Chih-Cheng Chen; Jia-Ying Yong; Hong-Han Shuai; Wen-Huang Cheng; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

EESRNet: A Network for Energy Efficient Super-Resolution. - Shijie Yue; Chenghua Li; Zhengyang Zhuge; Ruixia Song (ECCV Workshops (2), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (CoRR, 2022)

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. - Xingting Yao; Qinghao Hu 001; Tielong Liu; Zitao Mo; Zeyu Zhu; Zhengyang Zhuge; Jian Cheng 001 (CoRR, 2023)

Patch-Aware Sample Selection for Efficient Masked Image Modeling. - Zhengyang Zhuge; Jiaxing Wang; Yong Li; Yongjun Bao; Peisong Wang; Jian Cheng 001 (AAAI, 2024)

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. - Zhengyang Zhuge; Peisong Wang; Xingting Yao; Jian Cheng 001 (ICML, 2024)