# Zhengping Che

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/zhengping-che/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,811 |
| Field | Robot Manipulation and Learning |
| h-index | 23 |
| i10-index | 36 |
| Last Known Institution | Chongqing University |
| OpenAlex ID | https://openalex.org/A5079044416 |
| ORCID iD | 0000-0001-6818-1125 |
| Works | 99 |

## Researcher papers

- [Recurrent Neural Networks for Multivariate Time Series with Missing Values](https://scholariq.org/papers/recurrent-neural-networks-for-multivariate-time-series-with-missing-values-2/)
- [Benchmarking deep learning models on large healthcare datasets](https://scholariq.org/papers/benchmarking-deep-learning-models-on-large-healthcare-datasets/)
- [Deep Computational Phenotyping](https://scholariq.org/papers/deep-computational-phenotyping/)
- [Interpretable Deep Models for ICU Outcome Prediction.](https://scholariq.org/papers/interpretable-deep-models-for-icu-outcome-prediction/)
- [Recurrent Neural Networks for Multivariate Time Series with Missing Values](https://scholariq.org/papers/recurrent-neural-networks-for-multivariate-time-series-with-missing-values/)
- [Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction](https://scholariq.org/papers/robust-unsupervised-video-anomaly-detection-by-multipath-frame-prediction/)
- [Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes](https://scholariq.org/papers/utilizing-machine-learning-and-automated-performance-metrics-to-evaluate-robot/)
- [Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records](https://scholariq.org/papers/boosting-deep-learning-risk-prediction-with-generative-adversarial-networks-for/)
- [Distilling Knowledge from Deep Networks with Applications to Healthcare Domain](https://scholariq.org/papers/distilling-knowledge-from-deep-networks-with-applications-to-healthcare-domain/)
- [Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets](https://scholariq.org/papers/benchmark-of-deep-learning-models-on-large-healthcare-mimic-datasets/)

## Researcher topics

- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)

## Researcher university

- [Chongqing University](https://scholariq.org/institutions/chongqing-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.