Haodong Jing

Orcid: 0000-0001-6643-7588

According to our database1, Haodong Jing authored at least 36 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality.
CoRR, May, 2026

Breakthrough the Suboptimal Stable Point in Value-Factorization-Based Multi-Agent Reinforcement Learning.
CoRR, April, 2026

This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse.
CoRR, March, 2026

Unsupervised Causal Prototypical Networks for De-biased Interpretable Dermoscopy Diagnosis.
CoRR, February, 2026

OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention.
CoRR, February, 2026

DAMind: Zero-Shot Visual Cross-Domain Alignment and Representation for EEG Decoding.
IEEE Trans. Image Process., 2026

UniBVR: Balancing visual and reasoning abilities in unified 3D scene understanding.
Neurocomputing, 2026

InstrucRobo: Object-centric multi-instruction decoupling model for explainable robotic manipulation.
Eng. Appl. Artif. Intell., 2026

We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification.
Proceedings of the ACM Web Conference 2026, 2026

UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EVOKE: Efficient and High-Fidelity EEG-to-Video Reconstruction via Decoupling Implicit Neural Representation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
An Optimal Obstacle Avoidance Method Using Reinforcement Learning-Based Decision Parameterization for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., July, 2025

EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning.
CoRR, June, 2025

AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models.
CoRR, March, 2025

Pinpointing visual content: Disentangled features in multimodal model for EEG representation learning and decoding.
Knowl. Based Syst., 2025

Exploring inter- and intra-modal relations in compositional zero-shot learning.
Neurocomputing, 2025

NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MINDEV: Multi-modal Integrated Diffusion Framework for Video Reconstruction from EEG Signals.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MFE-Driver: Multimodal Fusion Network for EEG-based Driver Emotion State Recognition.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

SAMap: Semantic Alignment for HD Map Detection Domain Generalization Under Varying Weather and Lighting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

PlaneHEC: Efficient Hand-Eye Calibration for Multi-View Robotic Arm via Any Point Cloud Plane Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Beyond Brain Decoding: Visual-Semantic Reconstructions to Mental Creation Extension Based on fMRI.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Refiner: Fine-grained Cross-modal Concepts Refinement for Compositional Zero-Shot Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
A Pricing Model Study of Shared Parking Area Charge Based on Game Theory.
Syst., August, 2024

Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex.
Int. J. Neural Syst., January, 2024

See Through Their Minds: Learning Transferable Neural Representation from Cross-Subject fMRI.
CoRR, 2024

Complementing Onboard Sensors with Satellite Maps: A New Perspective for HD Map Construction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Flexiv Rizon-Based Multitasking Dual-Arm Robot Platform.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

MRSP: Learn Multi-representations of Single Primitive for Compositional Zero-Shot Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Hidden States in LLMs Improve EEG Representation Learning and Visual Decoding.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction.
CoRR, 2023

2022
Exploring the Relationship Between Visual Information and Language Semantic Concept in the Human Brain.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Hierarchical Causality Network: Find the Effective Connectivity in Visual Cortex.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Images Structure Reconstruction from fMRI by Unsupervised Learning Based on VAE.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022


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