Jiahang Cao

Orcid: 0000-0003-4338-4414

According to our database1, Jiahang Cao authored at least 31 papers between 2019 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Spiking Diffusion Models.
IEEE Trans. Artif. Intell., January, 2025

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras.
CoRR, January, 2025

2024
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces.
ACM Comput. Surv., June, 2024

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network.
CoRR, 2024

Uncovering Vision Modality Threats in Image-to-Image Tasks.
CoRR, 2024

Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction.
CoRR, 2024

E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework.
CoRR, 2024

LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots.
CoRR, 2024

World Model-based Perception for Visual Legged Locomotion.
CoRR, 2024

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.
CoRR, 2024

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models.
CoRR, 2024

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning.
CoRR, 2024

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.
CoRR, 2024

Reinforcement Learning with Generalizable Gaussian Splatting.
CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR, 2024

Spiking Denoising Diffusion Probabilistic Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Spiking Neural Network as Adaptive Event Stream Slicer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reinforcement Learning with Generalizable Gaussian Splatting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Spiking Wavelet Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision.
CoRR, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.
CoRR, 2023

Masked Spiking Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Efficient Spiking Transformer Enabled By Partial Information.
CoRR, 2022

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2019
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data.
CoRR, 2019


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