Image Classification Using Convolutional Neural Networks and Kernel Extreme Learning Machines. - Zhuangzi Li; Xiaobin Zhu 001; Lei Wang 101; Peiyu Guo (ICIP, 2018)

Generative Adversarial Image Super-Resolution Through Deep Dense Skip Connections. - Xiaobin Zhu 001; Zhuangzi Li; Xiaoyu Zhang 002; Haisheng Li 002; Ziyu Xue; Lei Wang 101 (Comput. Graph. Forum, 2018)

Residual Invertible Spatio-Temporal Network for Video Super-Resolution. - Xiaobin Zhu 001; Zhuangzi Li; Xiaoyu Zhang 002; Changsheng Li; Yaqi Liu; Ziyu Xue (AAAI, 2019)

Deep Super-Resolution Hashing Network for Low-Resolution Image Retrieval. - Feng Dai; Zhuangzi Li; Naiguang Zhang; Qian Wang; Xiaobin Zhu 001; Peng Li 035 (ICIG (3), 2019)

Attention-Aware Invertible Hashing Network. - Shanshan Li 005; Qiang Cai; Zhuangzi Li; Haisheng Li 002; Naiguang Zhang; Jian Cao 003 (ICIG (3), 2019)

Representative Feature Matching Network for Image Retrieval. - Zhuangzi Li; Feng Dai; Naiguang Zhang; Lei Wang 101; Ziyu Xue (MMAsia, 2019)

Multi-Scale Invertible Network for Image Super-Resolution. - Zhuangzi Li; Shanshan Li 005; Naiguang Zhang; Lei Wang 101; Ziyu Xue (MMAsia, 2019)

Image Super-Resolution Using Attention Based DenseNet with Residual Deconvolution. - Zhuangzi Li (CoRR, 2019)

Deep convolutional representations and kernel extreme learning machines for image classification. - Xiaobin Zhu 001; Zhuangzi Li; Xiaoyu Zhang 002; Peng Li 035; Ziyu Xue; Lei Wang 101 (Multim. Tools Appl., 2019)

Frequency Separation Network for Image Super-Resolution. - Shanshan Li 005; Qiang Cai; Haisheng Li 002; Jian Cao 003; Lei Wang 101; Zhuangzi Li (IEEE Access, 2020)

Correction to "Frequency Separation Network for Image Super-Resolution". - Shanshan Li 005; Qiang Cai; Haisheng Li 002; Jian Cao 003; Lei Wang 101; Zhuangzi Li (IEEE Access, 2020)

Attention-aware perceptual enhancement nets for low-resolution image classification. - Xiaobin Zhu 001; Zhuangzi Li; Xianbo Li; Shanshan Li; Feng Dai (Inf. Sci., 2020)

Attention-aware invertible hashing network with skip connections. - Shanshan Li 005; Qiang Cai; Zhuangzi Li; Haisheng Li 002; Naiguang Zhang; Xiaoyu Zhang 002 (Pattern Recognit. Lett., 2020)

Information-Growth Attention Network for Image Super-Resolution. - Zhuangzi Li; Ge Li 002; Thomas H. Li; Shan Liu 001; Wei Gao 003 (ACM Multimedia, 2021)

Video super-resolution based on a spatio-temporal matching network. - Xiaobin Zhu 001; Zhuangzi Li; Jungang Lou; Qing Shen (Pattern Recognit., 2021)

Semantic Point Cloud Upsampling. - Zhuangzi Li; Ge Li 002; Thomas H. Li; Shan Liu 001; Wei Gao 003 (IEEE Trans. Multim., 2023)

PointELM: Fast Point Cloud Classification Using Deep Random Mapping Based Extreme Learning Machines. - Zhuangzi Li; Shan Liu 001; Ge Li 002 (ICME, 2024)

SPU+: Dimension Folding for Semantic Point Cloud Upsampling. - Zhuangzi Li; Thomas H. Li; Shan Liu 001; Ge Li 002 (IEEE Trans. Image Process., 2025)