Search Results for author: Jiaxin Wang

Found 8 papers, 4 papers with code

Research on Personal Credit Risk Assessment Methods Based on Causal Inference

no code implementations17 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.

Causal Inference Management

Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery

no code implementations12 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.

Relation Relation Extraction +2

PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis

1 code implementation6 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.

Language Modelling Large Language Model

StoManager1: An Enhanced, Automated, and High-throughput Tool to Measure Leaf Stomata and Guard Cell Metrics Using Empirical and Theoretical Algorithms

2 code implementations20 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.

SPAIC: A Spike-based Artificial Intelligence Computing Framework

1 code implementation26 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.

Geometric Structure Preserving Warp for Natural Image Stitching

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.

Edge Detection Image Stitching

Single Pass Entrywise-Transformed Low Rank Approximation

no code implementations16 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.

Open-Ended Question Answering

A relic sketch extraction framework based on detail-aware hierarchical deep network

no code implementations17 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.

Edge Detection Transfer Learning

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