Zhengping Che

Orcid: 0000-0001-6818-1125

According to our database1, Zhengping Che authored at least 55 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Human Pose Transfer with Augmented Disentangled Feature Consistency.
ACM Trans. Intell. Syst. Technol., February, 2024

2023 Low-Power Computer Vision Challenge (LPCVC) Summary.
CoRR, 2024

A Survey on Robotics with Foundation Models: toward Embodied AI.
CoRR, 2024

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024

SM<sup>3</sup>: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects.
CoRR, 2024

Visual Robotic Manipulation with Depth-Aware Pretraining.
CoRR, 2024

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation.
CoRR, 2024

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking.
CoRR, 2024

Object-Centric Instruction Augmentation for Robotic Manipulation.
CoRR, 2024

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

New IEEE Robotics and Automation Society Standards Study Group on Service Robotics [Standards].
IEEE Robotics Autom. Mag., September, 2023

Distributional generative adversarial imitation learning with reproducing kernel generalization.
Neural Networks, August, 2023

SRRNet: A Semantic Representation Refinement Network for Image Segmentation.
IEEE Trans. Multim., 2023

Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering.
CoRR, 2023

Cross-Modal Reasoning with Event Correlation for Video Question Answering.
CoRR, 2023

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion.
CoRR, 2023

DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CP<sup>3</sup>: Channel Pruning Plug-in for Point-Based Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2022

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Label-Guided Auxiliary Training Improves 3D Object Detector.
Proceedings of the Computer Vision - ECCV 2022, 2022

RGB-Depth Fusion GAN for Indoor Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization.
CoRR, 2021

Human Pose Transfer with Disentangled Feature Consistency.
CoRR, 2021

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
CoRR, 2021

MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Stage Fusion for Multi-Class 3D Lidar Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Fast Object Detection with Latticed Multi-Scale Feature Fusion.
CoRR, 2020

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction.
CoRR, 2020

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Generative Attention Networks for Multi-Agent Behavioral Modeling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
D<sup>2</sup>-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.
CoRR, 2019

DBUS: Human Driving Behavior Understanding System.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Benchmarking deep learning models on large healthcare datasets.
J. Biomed. Informatics, 2018

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.
CoRR, 2017

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.
CoRR, 2017

Deep Learning Solutions to Computational Phenotyping in Health Care.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Learning Solutions for Classifying Patients on Opioid Use.
Proceedings of the AMIA 2017, 2017

Time Series Feature Learning with Applications to Health Care.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values.
CoRR, 2016

Interpretable Deep Models for ICU Outcome Prediction.
Proceedings of the AMIA 2016, 2016

2015
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain.
CoRR, 2015

Deep Computational Phenotyping.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Causal Phenotype Discovery via Deep Networks.
Proceedings of the AMIA 2015, 2015

2014
An Examination of Multivariate Time Series Hashing with Applications to Health Care.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014


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