Haokun Zhu

Orcid: 0009-0009-8014-2730

According to our database1, Haokun Zhu authored at least 11 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
SysNav: Multi-Level Systematic Cooperation Enables Real-World, Cross-Embodiment Object Navigation.
CoRR, March, 2026

Learning heterogeneous biological interactions via meta-relation-guided dual-channel graph transformer for circular ribonucleic acid function prediction.
Knowl. Based Syst., 2026

Deep semantic and structural feature-aware drug repositioning with heterogeneous frequency-domain contrastive regularization learning.
Eng. Appl. Artif. Intell., 2026

2025
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

STRIVE: Structured Representation Integrating VLM Reasoning for Efficient Object Navigation.
CoRR, May, 2025

MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
AesStyler: Aesthetic Guided Universal Style Transfer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Student-Oriented Teacher Knowledge Refinement for Knowledge Distillation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SAMVG: A Multi-Stage Image Vectorization Model with the Segment-Anything Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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