| Signed graph attention networks J Huang, H Shen, L Hou, X Cheng Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 121 | 2019 |
| SDGNN: Learning node representation for signed directed networks J Huang, H Shen, L Hou, X Cheng Proceedings of the AAAI conference on artificial intelligence 35 (1), 196-203, 2021 | 76 | 2021 |
| Label-consistency based graph neural networks for semi-supervised node classification B Xu, J Huang, L Hou, H Shen, J Gao, X Cheng Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 49 | 2020 |
| Conditional gans with auxiliary discriminative classifier L Hou, Q Cao, H Shen, S Pan, X Li, X Cheng International Conference on Machine Learning, 8888-8902, 2022 | 41 | 2022 |
| Slimmable generative adversarial networks L Hou, Z Yuan, L Huang, H Shen, X Cheng, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7746-7753, 2021 | 39 | 2021 |
| Adversarial immunization for certifiable robustness on graphs S Tao, H Shen, Q Cao, L Hou, X Cheng Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 22* | 2021 |
| Direct-a-video: Customized video generation with user-directed camera movement and object motion S Yang, L Hou, H Huang, C Ma, P Wan, D Zhang, X Chen, J Liao ACM SIGGRAPH 2024 Conference Papers, 1-12, 2024 | 21 | 2024 |
| Self-supervised GANs with label augmentation L Hou, H Shen, Q Cao, X Cheng Advances in Neural Information Processing Systems 34, 13019-13031, 2021 | 16 | 2021 |
| I2v-adapter: A general image-to-video adapter for video diffusion models X Guo, M Zheng, L Hou, Y Gao, Y Deng, C Ma, W Hu, Z Zha, H Huang, ... arXiv preprint arXiv:2312.16693, 2023 | 14 | 2023 |
| Adversarial camouflage for node injection attack on graphs S Tao, Q Cao, H Shen, Y Wu, L Hou, F Sun, X Cheng Information Sciences 649, 119611, 2023 | 14 | 2023 |
| Augmentation-aware self-supervision for data-efficient GAN training L Hou, Q Cao, Y Yuan, S Zhao, C Ma, S Pan, P Wan, Z Wang, H Shen, ... Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Graph adversarial immunization for certifiable robustness S Tao, Q Cao, H Shen, Y Wu, L Hou, X Cheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Regularizing label-augmented generative adversarial networks under limited data L Hou IEEE Access 11, 28966-28976, 2023 | 3 | 2023 |
| Momentum Contrastive Pruning S Pan, Y Qin, T Li, X Li, L Hou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models X Guo, M Zheng, L Hou, Y Gao, Y Deng, P Wan, D Zhang, Y Liu, W Hu, ... ACM SIGGRAPH 2024 Conference Papers, 1-12, 2024 | 1 | 2024 |
| Boosting Pruned Networks with Linear Over-Parameterization Y Qian, X Li, J Cao, J Zhang, H Li, J Chen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Pde+: Enhancing generalization via pde with adaptive distributional diffusion Y Yuan, B Xu, B Lin, L Hou, F Sun, H Shen, X Cheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16614 …, 2024 | 1 | 2024 |
| Dual Rejection Sampling for Wasserstein Auto-Encoders L Hou, H Shen, X Cheng ECAI 2020, 1190-1197, 2020 | 1 | 2020 |
| TEA: Test-time Energy Adaptation Y Yuan, B Xu, L Hou, F Sun, H Shen, X Cheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Layer-adaptive Structured Pruning Guided by Latency S Pan, L Zhang, J Zhang, X Li, L Hou, X Tu arXiv preprint arXiv:2305.14403, 2023 | | 2023 |
Cheng XueqiChinese Academy of SciencesZweryfikowany adres z ict.ac.cn
