Jiahang Cao

Orcid: 0000-0003-4338-4414

According to our database1, Jiahang Cao authored at least 52 papers between 2019 and 2025.

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Bibliography

2025
G2-SDF: Geometry-Guided Neural Signed Distance Fields for Scalable and Detailed Reconstruction.
IEEE Robotics Autom. Lett., August, 2025

DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement.
CoRR, July, 2025

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots.
CoRR, July, 2025

LOVON: Legged Open-Vocabulary Object Navigator.
CoRR, July, 2025

Occupancy World Model for Robots.
CoRR, May, 2025

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition.
CoRR, March, 2025

EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks.
CoRR, March, 2025

ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network.
CoRR, March, 2025

HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots.
CoRR, March, 2025

LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures.
CoRR, March, 2025

Trinity: A Modular Humanoid Robot AI System.
CoRR, March, 2025

Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion.
CoRR, March, 2025

PALo: Learning Posture-Aware Locomotion for Quadruped Robots.
CoRR, March, 2025

RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation.
CoRR, March, 2025

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations.
CoRR, February, 2025

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

A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning.
CoRR, January, 2025

The Meta-Representation Hypothesis.
CoRR, January, 2025

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

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Fully Spiking Neural Network for Legged Robots.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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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