Author

Ziyi Wang

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#artificial intelligence Oct 2025

SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions

A unified framework for simultaneous pruning and low-bit quantization via Bayesian variational learning via Bayesian variational learning is introduced, which achieves higher compression rates than prior baselines while maintaining comparable performance.

Ziyi Wang, Nan Jiang, Guang Lin et al. · arXiv.org · 0 citations

Jul 2026

Hy-Embodied-VLM-1.0: Efficient Physical-World Agents

The model achieves the best performance among similarly sized models on 19 of the 38 benchmarks and substantially outperforms strong competitors, including Qwen3.6-A3B and Cosmos 3.5 MoT-2B, and demonstrates strong performance on embodied agentic tasks requiring multi-turn interaction and long-horizon reasoning.

Ziyi Wang, Xu-Min Yu, Yongming Rao et al. · arXiv.org · 6 citations