| Layoutdiffusion: Controllable diffusion model for layout-to-image generation G Zheng, X Zhou, X Li, Z Qi, Y Shan, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 79 | 2023 |
| Deep neural network based on android mobile malware detection system using opcode sequences L Zhao, D Li, G Zheng, W Shi 2018 IEEE 18th International Conference on Communication Technology (ICCT …, 2018 | 29 | 2018 |
| Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation G Zheng, S Li, H Wang, T Yao, Y Chen, S Ding, X Li European Conference on Computer Vision 2022, 2022 | 18 | 2022 |
| Modeling on virtual network embedding using reinforcement learning C Wang, F Zheng, G Zheng, S Peng, Z Tian, Y Guo, G Li, Y Yuan Concurrency and Computation: Practice and Experience 32 (23), e6020, 2020 | 11 | 2020 |
| BEKT: deep knowledge tracing with bidirectional encoder representations from transformers Z Tiana, G Zhengc, B Flanaganb, J Mic, H Ogatab Proceedings of the 29th International Conference on Computers in Education 2 …, 2021 | 9 | 2021 |
| A single-player Monte Carlo tree search method combined with node importance for virtual network embedding G Zheng, C Wang, W Shao, Y Yuan, Z Tian, S Peng, AK Bashir, S Mumtaz Annals of Telecommunications 76, 297-312, 2021 | 4 | 2021 |
| Entropy-driven sampling and training scheme for conditional diffusion generation S Li, G Zheng, H Wang, T Yao, Y Chen, S Ding, X Li arXiv preprint arXiv:2206.11474, 2022 | 2 | 2022 |
| A Survey of Multimodal Controllable Diffusion Models R Jiang, GC Zheng, T Li, TR Yang, JD Wang, X Li Journal of Computer Science and Technology 39 (3), 509-541, 2024 | 1 | 2024 |
| Uncertainty-Aware Scene Graph Generation X Li, T Wu, G Zheng, Y Yu, X Li Pattern Recognition Letters 167, 30-37, 2023 | 1 | 2023 |
| CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities T Wu, Y Zhang, X Wang, X Zhou, G Zheng, Z Qi, Y Shan, X Li arXiv preprint arXiv:2408.13239, 2024 | | 2024 |
| Relationship-Incremental Scene Graph Generation by a Divide-and-Conquer Pipeline with Feature Adapter X Li, G Zheng, Y Yu, N Ji, X Li IEEE Transactions on Image Processing, 2024 | | 2024 |
| BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection W Wang, Y Lu, G Zheng, S Zhan, X Ye, Z Tan, J Wang, G Wang, X Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2024 | | 2024 |
| Supplementary Materials of” Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation” G Zheng, S Li, H Wang, T Yao, Y Chen, S Ding, X Li | | |
Xi Li（李玺）College of Computer Science, Zhejiang University, China;在 zju.edu.cn 的电子邮件经过验证
