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publications
Visual Progression Analysis of Event Sequence Data
2018
Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao
Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao, Visual Progression Analysis of Event Sequence Data, IEEE VAST 2018
Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis
2018
Chaoguang Lin, Qiuhan Zhu, Shunan Guo, Zhuochen Jin, Yu-Ru Lin, Nan Cao
Chaoguang Lin, Qiuhan Zhu, Shunan Guo, Zhuochen Jin, Yu-Ru Lin, Nan Cao, Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis. Data Min. Knowl. Discov. 32(4): 1056-1073, 2018
CarePre: An Intelligent Clinical Decision Assistance System
2019
Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, and Nan Cao
Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, and Nan Cao, CarePre: An Intelligent Clinical Decision Assistance System, ACM Transactions on Computing for Healthcare, 2019
Visual Anomaly Detection in Event Sequence Data
2019
Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao, Visual Anomaly Detection in Event Sequence Data, IEEE International Conference on Big Data, 2019
Visact: A visualization design system based on semantic actions
2019
Hongjin Wu, Danqing Shi, Nan Chen, Yang Shi, Zhuochen Jin, Nan Cao
Hongjin Wu, Danqing Shi, Nan Chen, Yang Shi, Zhuochen Jin, and Nan Cao, Visact: A visualization design system based on semantic actions. Journal of Visualization, 2019
Vinci: An Intelligent Graphic Design System for Generating Advertising Posters
2020
Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao
Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao, Interpretable anomaly detection in event sequences via sequence matching and visual comparison[J]. IEEE TVCG, 2021
Visual Causality Analysis of Event Sequence Data
2020
Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, and Nan Cao, Visual Causality Analysis of Event Sequence Data, IEEE TVCG, 2020
EcoLens: Visual Analysis of Ecological Regions in Urban Contexts Using Traffic Data
2020
Zhuochen Jin, Nan Cao, Yang Shi, Wenchao Wu and Yingcai Wu (ChinaVis 2020, Best Paper)
Zhuochen Jin, Nan Cao, Yang Shi, Wenchao Wu and Yingcai Wu, EcoLens: Visual Analysis of Ecological Regions in Urban Contexts Using Traffic Data, Journal Of Visualization
TrammelGraph: Visual Graph Abstraction for Comparison
2020
Zhuochen Jin, Nan Chen, Yang Shi, Weihong Qian, Maoran Xu, Nan Cao
Zhuochen Jin, Nan Chen, Yang Shi, Weihong Qian, Maoran Xu, and Nan Cao,TrammelGraph: Visual Graph Abstraction for Comparison, Journal Of Visualization
Development and Validation of a Deep Learning Model for Non-CSmall Cell Lung Cancer Survival
2020
Yunlang She, Zhuochen Jin, Junqi Wu, Jiajun Deng, Lei Zhang, Hang Su, Gening Jiang, Haipeng Liu, Dong Xie, Nan Cao, Yijiu Ren, Chang Chen
She Y, Jin Z, Wu J, et al. Development and Validation of a Deep Learning Model for Non-CSmall Cell Lung Cancer Survival[J]. JAMA Network Open, 2020, 3(6): e205842-e205842
Survey on visual analysis of event sequence data
2021
Yi Guo, Zhuochen Jin, Shunan Guo, Smiti Kaul, David Gotz, Nan Cao
Yi Guo, Zhuochen Jin, Shunan Guo, Smiti Kaul, David Gotz, and Nan Cao, Survey on visual analysis of event sequence data[J]. IEEE TVCG, 2021
Interpretable anomaly detection in event sequences via sequence matching and visual comparison
2021
Shunan Guo, Zhuochen Jin, Fuling Sun, Jingwen Li, Zhaorui Li, Yang Shi, and Nan Cao
Shunan Guo, Zhuochen Jin, Fuling Sun, Jingwen Li, Zhaorui Li, Yang Shi, and Nan Cao, Vinci: An Intelligent Graphic Design System for Generating Advertising Posters, submitted to ACM SIGCHI, 2020
Development and validation of a deep learning model to predict the survival of patients in ICU
2022
Hai Tang, Zhuochen Jin, Jiajun Deng, Yunlang She, Yifan Zhong, Weiyan Sun, Yijiu Ren, Nan Cao, Chang Chen
Hai Tang, Zhuochen Jin, Jiajun Deng, Yunlang She, Yifan Zhong, Weiyan Sun, Yijiu Ren, Nan Cao, Chang Chen, Development and validation of a deep learning model to predict the survival of patients in ICU[J]. JAMA, 2022
Supporting guided exploratory visual analysis on time series data with reinforcement learning
2023
Yang Shi, Bingchang Chen, Ying Chen, Zhuochen Jin, Ke Xu, Xiaohan Jiao, Tian Gao, Nan Cao
Yang Shi, Bingchang Chen, Ying Chen, Zhuochen Jin, Ke Xu, Xiaohan Jiao, Tian Gao, Nan Cao, Supporting guided exploratory visual analysis on time series data with reinforcement learning[J], IEEE TVCG, 2023
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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