no code implementations • 17 Mar 2024 • Jiaxin Wang, YiLong Ma
Due to the limitations in the development of category theory-related technical tools, this paper adopts the widely-used probabilistic causal graph tool proposed by Judea Pearl in 1995 to study the application of causal inference in personal credit risk management.
no code implementations • 12 Jan 2024 • Jiaxin Wang, Lingling Zhang, Jun Liu, Tianlin Guo, Wenjun Wu
The key challenges of GRD are how to mitigate the serious model biases caused by labeled pre-defined relations to learn effective relational representations and how to determine the specific semantics of novel relations during classifying or clustering unlabeled instances.
1 code implementation • 6 Dec 2023 • Meiyue Song, Zhihua Yu, Jiaxin Wang, Jiarui Wang, Yuting Lu, Baicun Li, Xiaoxu Wang, Qinghua Huang, Zhijun Li, Nikolaos I. Kanellakis, Jiangfeng Liu, Jing Wang, Binglu Wang, Juntao Yang
Yet, this approach often requires optimization of extensive learnable parameters in the text branch and the dialogue head, potentially diminishing the LLMs' efficacy, especially with limited training data.
2 code implementations • 20 Apr 2023 • Jiaxin Wang, Heidi J. Renninger, Qin Ma, Shichao Jin
Automated stomata detection and measuring are vital for understanding plant physiological performance and ecological functioning in global water and carbon cycles.
1 code implementation • 26 Jul 2022 • Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chegnjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang
In this work, we present a Python based spiking neural network (SNN) simulation and training framework, aka SPAIC that aims to support brain-inspired model and algorithm researches integrated with features from both deep learning and neuroscience.
1 code implementation • CVPR 2022 • Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang
Further, an optimized GES energy term is presented to reasonably determine the weights of the sampling points on the geometric structure, and the term is added into the Global Similarity Prior (GSP) stitching model called GES-GSP to achieve a smooth transition between local alignment and geometric structure preservation.
no code implementations • 16 Jul 2021 • Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff
A natural way to do this would be to simply apply $f$ to each entry of $A$, and then compute the matrix decomposition, but this requires storing all of $A$ as well as multiple passes over its entries.
no code implementations • 17 Jan 2021 • Jinye Peng, Jiaxin Wang, Jun Wang, Erlei Zhang, Qunxi Zhang, Yongqin Zhang, Xianlin Peng, Kai Yu
For the fine extraction stage, we design a new multiscale U-Net (MSU-Net) to effectively remove disease noise and refine the sketch.