A general deep learning framework for network reconstruction and dynamics learning Z Zhang, Y Zhao, J Liu, S Wang, R Tao, R Xin, J Zhang Applied Network Science 4 (110), 1-17, 2019 | 62 | 2019 |
Tensor networks for unsupervised machine learning J Liu, S Li, J Zhang, P Zhang Physical Review E 107 (1), L012103, 2023 | 38 | 2023 |
Coevolution of agent’s behavior and noise parameters in majority vote game on multilayer networks J Liu, Y Fan, J Zhang, Z Di New Journal of Physics 21 (1), 015007, 2019 | 9 | 2019 |
Learning nonequilibrium statistical mechanics and dynamical phase transitions Y Tang, J Liu, J Zhang, P Zhang Nature Communications 15 (1), 1117, 2024 | 6* | 2024 |
Gumbel-softmax-based optimization: a simple general framework for optimization problems on graphs Y Li, J Liu, G Lin, Y Hou, M Mou, J Zhang Computational Social Networks 8 (1), 1-16, 2021 | 4 | 2021 |
Gumbel-softmax optimization: A simple general framework for combinatorial optimization problems on graphs J Liu, F Gao, J Zhang Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020 | 4 | 2020 |
Recurrent dynamic message passing with loops for epidemics on networks F Gao, J Liu, Y Zhao Chaos, Solitons & Fractals 184, 115045, 2024 | 2 | 2024 |
Chinese Address Similarity Calculation Based on Auto Geological Level Tagging J Liu, J Wang, C Zhang, X Yang, J Deng, R Zhu, X Nan, Q Chen International Symposium on Neural Networks, 431-438, 2019 | 2 | 2019 |
Human mobility in interest space and interactive random walk F Zeng, L Gong, J Liu, J Zhang, Q Chen, R Xin Journal of Physics: Complexity 1 (2), 025004, 2020 | 1* | 2020 |
Efficient Optimization of Variational Autoregressive Networks with Natural Gradient J Liu, Y Tang, P Zhang arXiv preprint arXiv:2409.20029, 2024 | | 2024 |