Volgen
Jiahang Cao
Jiahang Cao
HKUST(GZ)
Geverifieerd e-mailadres voor connect.hkust-gz.edu.cn
Titel
Geciteerd door
Geciteerd door
Jaar
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
J Cao, J Fang, Z Meng, S Liang
ACM Computing Surveys, 2024, 2024
582024
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
232024
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
112024
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
82024
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
72019
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
52025
Spiking Wavelet Transformer
Y Fang, Z Wang, L Zhang, J Cao, H Chen, R Xu
European Conference on Computer Vision (ECCV), 2024, 2024
52024
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
22024
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
22023
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
12024
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
12024
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
12024
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
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Artikelen 1–20