Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces J Cao, J Fang, Z Meng, S Liang ACM Computing Surveys, 2024, 2024 | 58 | 2024 |
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 | 54* | 2023 |
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 | 23 | 2024 |
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model H Cheng, E Xiao, J Gu, L Yang, J Duan, J Zhang, J Cao, K Xu, R Xu European Conference on Computer Vision (ECCV), 2024, 2024 | 13* | 2024 |
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 | 11 | 2024 |
Typography leads semantic diversifying: Amplifying adversarial transferability across multimodal large language models H Cheng, E Xiao, J Yang, J Cao, Q Zhang, L Yang, J Zhang, K Xu, J Gu, ... arXiv preprint arXiv:2405.20090, 2024 | 8 | 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 | 7 | 2019 |
Fully Spiking Neural Network for Legged Robots X Jiang, Q Zhang, J Sun, J Cao, J Ma, R Xu IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2025 | 5 | 2025 |
Spiking Wavelet Transformer Y Fang, Z Wang, L Zhang, J Cao, H Chen, R Xu European Conference on Computer Vision (ECCV), 2024, 2024 | 5 | 2024 |
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network Z Wang, Y Fang, J Cao, H Ren, R Xu Annual AAAI Conference on Artificial Intelligence (AAAI), 2025, Oral, 2024 | 2* | 2024 |
Mamba as decision maker: Exploring multi-scale sequence modeling in offline reinforcement learning J Cao, Q Zhang, Z Wang, J Sun, J Wang, H Cheng, Y Shao, W Zhao, ... arXiv preprint arXiv:2406.02013, 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 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024, 2024 | 2* | 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 | 2 | 2023 |
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models J Cao, Q Zhang, J Sun, J Wang, H Cheng, Y Li, J Ma, Y Shao, W Zhao, ... arXiv preprint arXiv:2409.07163, 2024 | 1 | 2024 |
Spiking Diffusion Models J Cao, H Guo, Z Wang, D Zhou, H Cheng, Q Zhang, R Xu IEEE Transactions on Artificial Intelligence (TAI), 2024, 2024 | 1 | 2024 |
Reinforcement Learning with Generalizable Gaussian Splatting J Wang, Q Zhang, J Sun, J Cao, Y Shao, R Xu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024, 2024 | 1 | 2024 |
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning Z Xie*, J Cao*, Y Zhang*, Q Zhang, R Xu arXiv preprint arXiv:2501.17384, 2025 | | 2025 |
The Meta-Representation Hypothesis Z Xie*, J Cao*, Q Zhang, J Zhang, C Wang, R Xu arXiv preprint arXiv:2501.02481, 2025 | | 2025 |
Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras J Sun, Q Zhang, J Wang, J Cao, R Xu IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2025 | | 2025 |
Uncovering Vision Modality Threats in Image-to-Image Tasks H Cheng, E Xiao, J Yang, J Cao, Q Zhang, J Zhang, K Xu, J Gu, R Xu arXiv preprint arXiv:2412.05538, 2024 | | 2024 |