Search Results for author: XiaoJing Wang

Found 5 papers, 3 papers with code

A molecular dynamics simulation study on the frustrated Lewis pairs in ionic liquids

no code implementations21 Jan 2021 Xiaoqing Liu, XiaoJing Wang, Tianhao Yu, Weizhen Zhao, Lei Liu

Spatial distribution function (SDF) results show that toluene formed a continuum solvation shell, which hinders the interactions of (tBu)3P and B(C6F5)3 , while [Cnmim][NTf2] leave a relatively large empty space, which is accessible by (tBu3)P molecules, resulting in a higher probability of Lewis acids and bases interactions.

Chemical Physics

A Flexible Bayesian Clustering of Dynamic Subpopulations in Neural Spiking Activity

no code implementations21 May 2022 Ganchao Wei, Ian H. Stevenson, XiaoJing Wang

To identify populations directly related to neural activity, we develop a clustering method based on a mixture of dynamic Poisson factor analyzers (mixDPFA) model, with the number of clusters and dimension of latent factors for each cluster treated as unknown parameters.

Clustering Nonparametric Clustering

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

2 code implementations9 Nov 2023 Shengyun Peng, Seongmin Lee, XiaoJing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

This allows it to "see" an appropriate portion of the table and "store" the complex table structure within sufficient context length for the subsequent transformer.

Representation Learning Self-Supervised Learning +1

Self-Supervised Pre-Training for Table Structure Recognition Transformer

1 code implementation23 Feb 2024 Shengyun Peng, Seongmin Lee, XiaoJing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

We discover that the performance gap between the linear projection transformer and the hybrid CNN-transformer can be mitigated by SSP of the visual encoder in the TSR model.

Representation Learning

UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining

1 code implementation7 Mar 2024 Shengyun Peng, Seongmin Lee, XiaoJing Wang, Rajarajeswari Balasubramaniyan, Duen Horng Chau

Tables convey factual and quantitative data with implicit conventions created by humans that are often challenging for machines to parse.

Language Modelling

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