| Masked Spiking Transformer Z Wang, Y Fang, J Cao, Q Zhang, Z Wang, R Xu IEEE/CVF International Conference on Computer Vision (ICCV), 2023, 2023 | 13* | 2023 |
| Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces J Cao, J Fang, Z Meng, S Liang ACM Computing Surveys, 2023, 2024 | 9 | 2024 |
| Spiking denoising diffusion probabilistic models J Cao, Z Wang, H Guo, H Cheng, Q Zhang, R Xu IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, 2024 | 7 | 2024 |
| Deep learning for stock selection based on high frequency price-volume data J Yang, Y Li, X Chen, J Cao, K Jiang arXiv preprint arXiv:1911.02502, 2019 | 6 | 2019 |
| Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera J Cao, X Zheng, Y Lyu, J Wang, R Xu, L Wang IEEE International Conference on Robotics and Automation (ICRA), 2024, 2024 | 2 | 2024 |
| Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Network H Cheng*, J Cao*, E Xiao, M Sun, R Xu arXiv preprint arXiv:2309.13302, 2024 | 1 | 2024 |
| RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias H Cheng, J Duan, H Li, L Zhang, J Cao, P Wang, J Zhang, K Xu, R Xu The British Machine Vision Conference (BMVC), 2023, 2023 | 1 | 2023 |
| Fully Spiking Neural Network for Legged Robots X Jiang, Q Zhang, J Sun, J Cao, J Ma, R Xu arXiv preprint arXiv:2310.05022, 2024 | | 2024 |
| Reinforcement Learning with Generalizable Gaussian Splatting J Wang, Q Zhang, J Sun, J Cao, Y Shao, R Xu arXiv preprint arXiv:2404.07950, 2024 | | 2024 |
| Spiking Wavelet Transformer Y Fang, Z Wang, L Zhang, J Cao, H Chen, R Xu arXiv preprint arXiv:2403.11138, 2024 | | 2024 |
| Typographic Attacks in Large Multimodal Models Can be Alleviated by More Informative Prompts H Cheng, E Xiao, J Gu, L Yang, J Duan, J Zhang, J Cao, K Xu, R Xu arXiv preprint arXiv:2402.19150, 2024 | | 2024 |
| Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision Z Wang, Y Fang, J Cao, R Xu arXiv preprint arXiv:2311.14265, 2023 | | 2023 |
| Pursing the Sparse Limitation of Spiking Deep Learning Structures H Cheng, J Cao, E Xiao, M Sun, L Yang, J Zhang, X Lin, B Kailkhura, K Xu, ... arXiv preprint arXiv:2311.12060, 2023 | | 2023 |
| BEEF: Building a BridgE from Event to Frame J Cao, M Sun, Z Wang, H Cheng, Q Zhang, R Xu | | 2023 |
| Supplementary Material Spiking Denoising Diffusion Probabilistic Models J Cao, Z Wang, H Guo, C Hao, Z Qiang, R Xu | | |
| Supplementary Materials for: Masked Spiking Transformer Z Wang, Y Fang, J Cao, Q Zhang, Z Wang, R Xu | | |
Renjing XuHKUST(GZ)ust.hk üzerinde doğrulanmış e-posta adresine sahip
