Zhuochen Jin
Tongji University
16 Papers
33 Citations
Zhuochen Jin is an academic researcher from Tongji University. The author has contributed to research in topics: Computer science & Visualization. The author has an hindex of 7, co-authored 14 publications. Previous affiliations of Zhuochen Jin include Georgia Institute of Technology College of Architecture.
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Papers
Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival
Yunlang She,Zhuochen Jin,Junqi Wu,Jiajun Deng,Lei Zhang,Hang Su,Gening Jiang,Haipeng Liu,Dong Xie,Nan Cao,Nan Cao,Yijiu Ren,Chang Chen +12 more
- 01 Jun 2020
TL;DR: This cohort study compares the performances of a deep learning survival neural network with a tumor, node, and metastasis staging system in the prediction of survival.
Vinci: An Intelligent Graphic Design System for Generating Advertising Posters
Shunan Guo,Zhuochen Jin,Fuling Sun,Jingwen Li,Zhaorui Li,Yang Shi,Nan Cao +6 more
- 06 May 2021
TL;DR: In this article, a deep generative model is used to match the product image with a set of design elements and layouts for generating an aesthetic poster, and the system also integrates online editing-feedback that supports users in editing the posters and updating the generated results with their design preference.
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Visual Progression Analysis of Event Sequence Data
TL;DR: An unsupervised stage analysis algorithm to identify semantically meaningful progression stages as well as the critical events which help define those stages is proposed and a novel visualization system, ET2, is presented to help reveal evolution patterns across stages.
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A Survey on Visual Analysis of Event Sequence Data
TL;DR: A review of state-of-the-art visual analytics approaches for event sequence data can be found in this paper, where the proposed design space and applications are classified based on analytical tasks and applications.
85
CarePre: An Intelligent Clinical Decision Assistance System
Zhuochen Jin,Shuyuan Cui,Shunan Guo,David Gotz,Jimeng Sun,Nan Cao +5 more
- 02 Mar 2020
TL;DR: CarePre as mentioned in this paper is an intelligent clinical decision assistance system that extends a state-of-the-art deep learning model to predict upcoming diagnosis events for a focal patient based on his or her historical medical records.