1 citations · 1 across the 6 of their papers we have counts for
6 papers
Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
Shengdu Chai, Chen Lin, Xinyang Dong +4
The crystal structure of high-pressure solid hydrogen remains a fundamental open problem. Although the research frontier has mostly shifted toward ultra-high pressure phases above…
Efficient and Universal Neural-Network Decoder for Stabilizer-Based Quantum Error Correction
Gengyuan Hu, Wanli Ouyang, Chao-Yang Lu +2
Scaling quantum computing to practical applications necessitates reliable quantum error correction. Although numerous correction codes have been proposed, the overall correction ef…
DocReLM: Mastering Document Retrieval with Language Model
Gengchen Wei, Xinle Pang, Tianning Zhang +5
With over 200 million published academic documents and millions of new documents being written each year, academic researchers face the challenge of searching for information withi…
LOCR: Location-Guided Transformer for Optical Character Recognition
Yu Sun, Dongzhan Zhou, Chen Lin +3
Academic documents are packed with texts, equations, tables, and figures, requiring comprehensive understanding for accurate Optical Character Recognition (OCR). While end-to-end O…
Self-consistent Validation for Machine Learning Electronic Structure
Gengyuan Hu, Gengchen Wei, Zekun Lou +4
Machine learning has emerged as a significant approach to efficiently tackle electronic structure problems. Despite its potential, there is less guarantee for the model to generali…
Revealing Decurve Flows for Generalized Graph Propagation
Chen Lin, Liheng Ma, Yiyang Chen +3
This study addresses the limitations of the traditional analysis of message-passing, central to graph learning, by defining {\em \textbf{generalized propagation}} with directed and…