Junxuan Zhang — accepted AI-conference papers

2026

OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data

Yan Zhao, Zhengxue Cheng, Junxuan Zhang, Dajiang Zhou, Qunshan Gu, Qi Wang +1

CVPR 2026

Lossless compression is essential for efficient data storage and transmission. Although learning-based lossless compressors achieve strong results, most of them are designed for a single modality, leading to redundant compressor deployments in multi-modal settings. Designing a unified multi-modal co

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2025

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

Junxuan Zhang, Zhengxue Cheng, Yan Zhao, Shihao Wang, Dajiang Zhou, Guo Lu +1

AAAI 2025technical

Learning-based probabilistic models can be combined with an entropy coder for data compression. However, due to the high complexity of learning-based models, their practical application as text compressors has been largely overlooked. To address this issue, our work focuses on a low-complexity desig…

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