Zhicai Wang

Orcid: 0000-0001-6781-3442

According to our database1, Zhicai Wang authored at least 20 papers between 2019 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
Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation.
CoRR, February, 2026

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Prior Preserved Text-to-Image Personalization Without Image Regularization.
IEEE Trans. Circuits Syst. Video Technol., February, 2025

The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Dynamic Multimodal Prototype Learning in Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition.
Int. J. Comput. Vis., December, 2024

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models.
CoRR, 2024

BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations.
CoRR, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.
CoRR, 2024

Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Backdoor Defense via Deconfounded Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2019
A Novel Operation of Regional Power Grids in China: The Generator Voltage-Class-Reduction Scheme.
IEEE Access, 2019


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