| Learning inverse mapping by autoencoder based generative adversarial nets J Luo, Y Xu, C Tang, J Lv Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 72 | 2017 |
| Deep learning in nuclear industry: A survey C Tang, C Yu, Y Gao, J Chen, J Yang, J Lang, C Liu, L Zhong, Z He, J Lv Big Data Mining and Analytics 5 (2), 140-160, 2022 | 35 | 2022 |
| Zero-shot learning via structure-aligned generative adversarial network C Tang, Z He, Y Li, J Lv IEEE transactions on neural networks and learning systems 33 (11), 6749-6762, 2021 | 33 | 2021 |
| Partial differential equations meet deep neural networks: A survey S Huang, W Feng, C Tang, J Lv arXiv preprint arXiv:2211.05567, 2022 | 31 | 2022 |
| Pure graph-guided multi-view subspace clustering H Wu, S Huang, C Tang, Y Zhang, J Lv Pattern Recognition 136, 109187, 2023 | 25 | 2023 |
| Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning Y Wang, C Tang, J Wang, Y Sang, J Lv Knowledge-based systems 231, 107442, 2021 | 23 | 2021 |
| Zero-shot learning by mutual information estimation and maximization C Tang, X Yang, J Lv, Z He Knowledge-Based Systems 194, 105490, 2020 | 22 | 2020 |
| EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation C Yu, Y Wang, C Tang, W Feng, J Lv Computers in Biology and Medicine 167, 107579, 2023 | 17 | 2023 |
| Gpt-nas: Neural architecture search with the generative pre-trained model C Yu, X Liu, C Tang, W Feng, J Lv arXiv preprint arXiv:2305.05351, 2023 | 16 | 2023 |
| Open-set classification for signal diagnosis of machinery sensor in industrial environment J Chen, G Wang, J Lv, Z He, T Yang, C Tang IEEE Transactions on Industrial Informatics 19 (3), 2574-2584, 2022 | 16 | 2022 |
| MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment X Liu, T Wang, J Yang, C Tang, J Lv Neurocomputing 574, 127210, 2024 | 13 | 2024 |
| Aesthetic assessment of paintings based on visual balance M Li, J Lv, C Tang IET Image Processing 13 (14), 2821-2828, 2019 | 13 | 2019 |
| An angle-based method for measuring the semantic similarity between visual and textual features C Tang, J Lv, Y Chen, J Guo Soft Computing 23, 4041-4050, 2019 | 13 | 2019 |
| Multi‐style Chinese art painting generation of flowers F Fu, J Lv, C Tang, M Li IET Image Processing 15 (3), 746-762, 2021 | 12 | 2021 |
| Multi-view image generation by cycle CVAE-GAN networks Z Lai, C Tang, J Lv Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 8 | 2019 |
| Classification of calligraphy style based on convolutional neural network F Dai, C Tang, J Lv Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 8 | 2018 |
| Smooth representation learning from multi-view data S Huang, Y Liu, H Cai, Y Tan, C Tang, J Lv Information Fusion 100, 101916, 2023 | 7 | 2023 |
| GPT-NAS: Evolutionary neural architecture search with the generative pre-trained model C Yu, X Liu, Y Wang, Y Liu, W Feng, X Deng, C Tang, J Lv arXiv preprint arXiv:2305.05351, 2023 | 7 | 2023 |
| Knowledge distillation method for surface defect detection J Lang, C Tang, Y Gao, J Lv International Conference on Neural Information Processing, 644-655, 2021 | 7 | 2021 |
| Multimodal image-to-image translation between domains with high internal variability J Wang, J Lv, X Yang, C Tang, X Peng Soft Computing 24, 18173-18184, 2020 | 7 | 2020 |
Zhenan HeCollege of Computer Science, Sichuan UniversityDirección de correo verificada de scu.edu.cn