Search Results for author: Zhihua Jin

Found 6 papers, 1 papers with code

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

no code implementations7 Sep 2021 Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

However, those models do not consider the numerical properties of numbers and cannot perform robustly on numerical reasoning tasks (e. g., math word problems and measurement estimation).

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis

no code implementations17 Jul 2021 Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu

Much research focuses on modeling the complex intra- and inter-modal interactions between different communication channels.

Multimodal Sentiment Analysis

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks

no code implementations22 Nov 2020 Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

Two case studies and interviews with domain experts demonstrate the effectiveness of GNNLens in facilitating the understanding of GNN models and their errors.

Node Classification

DeepDrawing: A Deep Learning Approach to Graph Drawing

no code implementations17 Jul 2019 Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

Node-link diagrams are widely used to facilitate network explorations.

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

1 code implementation13 Feb 2019 Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

To guide the design of ATMSeer, we derive a workflow of using AutoML based on interviews with machine learning experts.

AutoML

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