Zhicheng Cui

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Top Venues

Frontiers Comput. Sci.

Publications

Ziyi Liu, Luning Li, Weiming Xu, Xuesen Xu, Zhicheng Cui, Liangchen Jia, Wenhao Lv, Zhihui Shen, Rong Shu
Investigation into the Affect of Chemometrics and Spectral Data Preprocessing Approaches upon Laser-Induced Breakdown Spectroscopy Quantification Accuracy Based on MarSCoDe Laboratory Model and MarSDEEP Equipment. Remote. Sens. 15 (13) (2023)
Fan Yang, Weiming Xu, Zhicheng Cui, Xiangfeng Liu, Xuesen Xu, Liangchen Jia, Yuwei Chen, Rong Shu, Luning Li
Convolutional Neural Network Chemometrics for Rock Identification Based on Laser-Induced Breakdown Spectroscopy Data in Tianwen-1 Pre-Flight Experiments. Remote. Sens. 14 (21) (2022)
Zhicheng Cui, Liangchen Jia, Luning Li, Xiangfeng Liu, Weiming Xu, Rong Shu, Xuesen Xu
A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars. Remote. Sens. 14 (9) (2022)
Liangchen Jia, Xiangfeng Liu, Weiming Xu, Xuesen Xu, Luning Li, Zhicheng Cui, Ziyi Liu, Rong Shu
Initial Drift Correction and Spectral Calibration of MarSCoDe Laser-Induced Breakdown Spectroscopy on the Zhurong Rover. Remote. Sens. 14 (23) (2022)
Zhicheng Cui, Bradley A. Fritz, Christopher R. King, Michael S. Avidan, Yixin Chen
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. CoRR (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS (2019)
Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR (2019)
Zhicheng Cui, Bradley A. Fritz, Christopher R. King, Michael Avidan, Yixin Chen
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. AMIA (2019)
Haishuai Wang, Zhicheng Cui, Yixin Chen, Michael Avidan, Arbi Ben Abdallah, Alexander Kronzer
Predicting Hospital Readmission via Cost-Sensitive Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Zhicheng Cui, Muhan Zhang, Yixin Chen
Deep Embedding Logistic Regression. ICBK (2018)
Qiang Lv, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen
Achieving data-driven actionability by combining learning and planning. Frontiers Comput. Sci. 12 (5) (2018)
Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen
An End-to-End Deep Learning Architecture for Graph Classification. AAAI (2018)
Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. AAAI (2018)
Bo An, Xudong Shan, Zhicheng Cui, Chun Cao, Donggang Cao
Workspace as a Service: An Online Working Environment for Private Cloud. SOSE (2017)
Qiang Lu, Zhicheng Cui, Yixin Chen, Xiaoping Chen
Extracting optimal actionable plans from additive tree models. Frontiers Comput. Sci. 11 (1) (2017)
Zhicheng Cui, Wenlin Chen, Yixin Chen
Multi-Scale Convolutional Neural Networks for Time Series Classification. CoRR (2016)
Qiang Lyu, Yixin Chen, Zhaorong Li, Zhicheng Cui, Ling Chen, Xing Zhang, Haihua Shen
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning. CoRR (2016)
Muhan Zhang, Zhicheng Cui, Tolutola Oyetunde, Yinjie J. Tang, Yixin Chen
Recovering Metabolic Networks using A Novel Hyperlink Prediction Method. CoRR (2016)
Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
Optimal Action Extraction for Random Forests and Boosted Trees. KDD (2015)
Yuan Wang, Wenlin Chen, Kevin M. Heard, Marin Kollef, Thomas C. Bailey, Zhicheng Cui, Yujie He, Chenyang Lu, Yixin Chen
Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method. AMIA (2015)