no code implementations • 26 Mar 2024 • Haoran Liu, Mingzhe Liu, Peng Li, Jiahui Wu, Xin Jiang, Zhuo Zuo, Bingqi Liu
This process randomly closes some neural connections in the RCNN model, realized by the random inactivation weight matrix of link input.
no code implementations • 24 May 2023 • Kaimin Wang, Haoran Liu, Peng Li, Mingzhe Liu, Zhuo Zuo
In addition to the pulse signals, this dataset includes the source code for all the aforementioned pulse shape discrimination methods.
1 code implementation • 20 Feb 2023 • Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu
Our proposed framework provides a conditional feature extraction module first to extract the coarse yet effective spatiotemporal dependencies from conditional information as the global context prior.
no code implementations • 21 Nov 2022 • Jiaru Jia, Mingzhe Liu, Jiake Xie, Xin Chen, Hong Zhang, Feixiang Zhao, Aiqing Yang
In detail, L-MAE adopts the fusion strategy that stacks the label and the corresponding image, namely fuse map.
1 code implementation • 12 Aug 2020 • Hao Peng, Jian-Xin Li, Zheng Wang, Renyu Yang, Mingzhe Liu, Mingming Zhang, Philip S. Yu, Lifang He
As a departure from prior work, Luce organizes the house data in a heterogeneous information network (HIN) where graph nodes are house entities and attributes that are important for house price valuation.