Author

Jie Hu

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#machine learning Preprint Sep 2026

QuantForge: Discovering Residual Decompositions for MXFP4 Post-Training Quantization

Four-bit post-training quantization can reduce the memory demands of large language models, but preserving accuracy under strict MXFP4 W4A4 requires coordinating several design choices. Coordinate transforms change block-encoding errors, which in turn affect the residuals propagated through the network. The useful algo...

Qiu-Lin Shang, Zhou-Tong Wu, Jie Hu et al. · 0 citations

#graph neural networks Oct 2026

DRL-Enabled Polymorphic Acceleration Framework for Flexible and Energy-Efficient Hybrid-Float Deep Learning Inference in Mobile Computing

Hybrid-float quantization has emerged as a promising solution for efficient deep neural network inference on mobile platforms, but its practical deployment is still limited by three challenges: compute–transmission imbalance, rapidly growing mapping complexity, and the tradeoff between intermediate-data movement and ha...

Qun-Kang Meng, Jie Hu, Zhi-Han Zhang et al. · IEEE Transactions on Mobile... · 0 citations