Author

Ling-Jia Liu

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Preprint Oct 2026

Telling Neural Network What We Know: Weight Configuration for RNN and Its Application to NextG Real-Time Neural Receiver

AI-enabled receivers offer a promising approach to adaptive physical-layer processing, but conventional neural receivers often require extensive offline training and computationally expensive backpropagation, limiting their suitability for low-latency cellular systems. Moreover, classical MIMO-OFDM receivers rely on ac...

Ummay Sumaya Khan, Li-Zhong Zheng, Ling-Jia Liu · 1 citation

Book Jul 2026

Bridging Information Theory and Practice for Scientific Lossy Compression

This paper develops a novel framework that characterizes compressibility limits for scientific datasets under realistic tiling constraints, and is the first framework to rigorously characterize lossy compressibility limits for scientific datasets and compressor, moving beyond classical asymptotic 1D source models.

Sujata Sinha, Sheng Di, Vishwas Rao et al. · IEEE International Symposium... · 0 citations