Shi-Ju Ran - RankMe

22 papers Journal 22

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Universal replication of chaotic characteristics by classical and quantum machine learning. CoRR Sheng-Chen Bai, Shi-Ju Ran
2024	J	`jnl`	Universal scaling laws in quantum-probabilistic machine learning by tensor network towards interpreting representation and generalization powers. CoRR Sheng-Chen Bai, Shi-Ju Ran
2023	J	`jnl`	Compressing neural network by tensor network with exponentially fewer variational parameters. CoRR Yong Qing, Peng-Fei Zhou, Ke Li, Shi-Ju Ran
2023	J	`jnl`	Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning. CoRR Yu-Jia An, Sheng-Chen Bai, Lin Cheng, Xiao-Guang Li, Cheng-En Wang, Xiao-Dong Han, Gang Su, Shi-Ju Ran, Cong Wang
2023	J	`jnl`	Many-body control with reinforcement learning and tensor networks. Nat. Mac. Intell. Ying Lu, Shi-Ju Ran
2023	J	`jnl`	Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains. CoRR Ying Lu, Pei Shi, Xiao-Han Wang, Jie Hu, Shi-Ju Ran
2023	J	`jnl`	Tensor networks for interpretable and efficient quantum-inspired machine learning. CoRR Shi-Ju Ran, Gang Su
2022	J	`jnl`	Circuit encapsulation for efficient quantum computing based on controlled many-body dynamics. CoRR Ying Lu, Peng-Fei Zhou, Shao-Ming Fei, Shi-Ju Ran
2022	J	`jnl`	Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations. CoRR Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran
2022	J	`jnl`	Unsupervised Recognition of Informative Features via Tensor Network Machine Learning and Quantum Entanglement Variations. CoRR Sheng-Chen Bai, Yi-Cheng Tang, Shi-Ju Ran
2021	J	`jnl`	Automatically Differentiable Quantum Circuit for Many-qubit State Preparation. CoRR Peng-Fei Zhou, Rui Hong, Shi-Ju Ran
2021	J	`jnl`	Entanglement-Based Feature Extraction by Tensor Network Machine Learning. Frontiers Appl. Math. Stat. Yuhan Liu, Wen-Jun Li, Xiao Zhang, Maciej Lewenstein, Gang Su, Shi-Ju Ran
2021	J	`jnl`	Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity. CoRR Wei-Ming Li, Shi-Ju Ran
2021	J	`jnl`	Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling. CoRR Rui Hong, Peng-Fei Zhou, Bin Xi, Jie Hu, An-Chun Ji, Shi-Ju Ran
2021	J	`jnl`	Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions. CoRR Ying Lu, Yue-Min Li, Peng-Fei Zhou, Shi-Ju Ran
2020	J	`jnl`	Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions. CoRR Xinran Ma, Z. C. Tu, Shi-Ju Ran
2020	J	`jnl`	Residual Matrix Product State for Machine Learning. CoRR Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran
2020	J	`jnl`	Tangent-Space Gradient Optimization of Tensor Network for Machine Learning. CoRR Zheng-Zhi Sun, Shi-Ju Ran, Gang Su
2019	J	`jnl`	Bayesian Tensor Network and Optimization Algorithm for Probabilistic Machine Learning. CoRR Shi-Ju Ran
2019	J	`jnl`	Generative Tensor Network Classification Model for Supervised Machine Learning. CoRR Zheng-Zhi Sun, Cheng Peng, Ding Liu, Shi-Ju Ran, Gang Su
2019	J	`jnl`	Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning. CoRR Shi-Ju Ran, Zheng-Zhi Sun, Shao-Ming Fei, Gang Su, Maciej Lewenstein
2018	J	`jnl`	Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition. CoRR Yuhan Liu, Xiao Zhang, Maciej Lewenstein, Shi-Ju Ran