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Zhicheng Cui
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2020 – today
- 2023
- [j7]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): 3311 (2023) - 2022
- [j6]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): 1954 (2022) - [j5]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): 5343 (2022) - [j4]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): 5964 (2022)
2010 – 2019
- 2019
- [c8]Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael Avidan, Yixin Chen:
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. AMIA 2019 - [c7]Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen:
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS 2019: 1586-1598 - [i5]Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen:
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR abs/1904.11088 (2019) - [i4]Zhicheng Cui, Bradley A. Fritz, Christopher Ryan King, Michael S. Avidan, Yixin Chen:
A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room. CoRR abs/1907.12596 (2019) - 2018
- [j3]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): 939-949 (2018) - [j2]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): 1968-1978 (2018) - [c6]Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen:
Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. AAAI 2018: 4430-4437 - [c5]Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen:
An End-to-End Deep Learning Architecture for Graph Classification. AAAI 2018: 4438-4445 - [c4]Zhicheng Cui, Muhan Zhang, Yixin Chen:
Deep Embedding Logistic Regression. ICBK 2018: 176-183 - 2017
- [j1]Qiang Lu, Zhicheng Cui, Yixin Chen, Xiaoping Chen:
Extracting optimal actionable plans from additive tree models. Frontiers Comput. Sci. 11(1): 160-173 (2017) - [c3]Bo An, Xudong Shan, Zhicheng Cui, Chun Cao, Donggang Cao:
Workspace as a Service: An Online Working Environment for Private Cloud. SOSE 2017: 19-27 - 2016
- [i3]Zhicheng Cui, Wenlin Chen, Yixin Chen:
Multi-Scale Convolutional Neural Networks for Time Series Classification. CoRR abs/1603.06995 (2016) - [i2]Muhan Zhang, Zhicheng Cui, Tolutola Oyetunde, Yinjie J. Tang, Yixin Chen:
Recovering Metabolic Networks using A Novel Hyperlink Prediction Method. CoRR abs/1610.06941 (2016) - [i1]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 abs/1611.00873 (2016) - 2015
- [c2]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 - [c1]Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen:
Optimal Action Extraction for Random Forests and Boosted Trees. KDD 2015: 179-188
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