Ziming Hong

Orcid: 0000-0001-8574-6108

According to our database1, Ziming Hong authored at least 26 papers between 2021 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
Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps.
CoRR, April, 2026

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models.
CoRR, April, 2026

Dynamic Semantic Complementary Network for Zero-Shot Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

VII: Visual Instruction Injection for Jailbreaking Image-to-Video Generation Models.
CoRR, February, 2026

When Safety Collides: Resolving Multi-Category Harmful Conflicts in Text-to-Image Diffusion via Adaptive Safety Guidance.
CoRR, February, 2026

Is Gradient Ascent Really Necessary? Memorize to Forget for Machine Unlearning.
CoRR, February, 2026

Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey.
CoRR, February, 2026

2025
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing.
CoRR, December, 2025

RDSplat: Robust Watermarking Against Diffusion Editing for 3D Gaussian Splatting.
CoRR, December, 2025

Prototype-Guided Curriculum Learning for Zero-Shot Learning.
CoRR, August, 2025

Semantics-Conditioned Generative Zero-Shot Learning via Feature Refinement.
Int. J. Comput. Vis., July, 2025

Toward Robust Non-Transferable Learning: A Survey and Benchmark.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Improving Non-Transferable Representation Learning by Harnessing Content and Style.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Evolving Semantic Prototype Improves Generative Zero-Shot Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Semantic Compression Embedding for Generative Zero-Shot Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums.
Proceedings of the Computer Vision - ECCV 2022, 2022

MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransZero: Attribute-Guided Transformer for Zero-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning.
CoRR, 2021

View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums.
CoRR, 2021


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