Haonan Jia — accepted AI-conference papers

2026

Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning

Haonan Jia, Shichao Dong, Xin Dong, Zenghui Sun, Jin Wang, Jinsong Lan +3

CVPR 2026

Large Vision-Language Models (LVLMs) often omit or misrepresent critical visual content in generated image captions. Minimizing such information loss will force LVLMs to focus on image details to generate precise descriptions. However, measuring information loss during modality conversion is inheren

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2026

Learning Brain Representation with Hierarchical Visual Embeddings

Jiawen Zheng, Haonan Jia, MING LI, Yuhui Zheng, Yufeng Zeng, Yang Gao +1

ICLR 2026poster

Decoding visual representations from brain signals has attracted significant attention in both neuroscience and artificial intelligence. However, the degree to which brain signals truly encode visual information remains unclear. Current visual decoding approaches explore various brain–image alignmen…

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