Victor Shea-Jay Huang

Orcid: 0009-0007-0614-5699

According to our database1, Victor Shea-Jay Huang authored at least 15 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Driving Intents Amplify Planning-Oriented Reinforcement Learning.
CoRR, May, 2026

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving.
CoRR, May, 2026

Action Emergence from Streaming Intent.
CoRR, May, 2026

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling.
CoRR, July, 2025

Vision-to-Music Generation: A Survey.
CoRR, March, 2025

TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.
CoRR, March, 2025

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Survey on Vision-to-Music Generation: Methods, Datasets, Evaluation, and Challenges.
Proceedings of the 26th International Society for Music Information Retrieval Conference, 2025

Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Precise Scaling Laws for Video Diffusion Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.
CoRR, 2024

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models.
CoRR, 2024


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