Zhengping Che

According to our database, Zhengping Che authored at least 56 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Haowen Wang, Zhengping Che, Yufan Yang, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2024

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

Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Human Pose Transfer with Augmented Disentangled Feature Consistency.

Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding

ACM Trans. Intell. Syst. Technol., February, 2024

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

Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2024

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

Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, Jian Tang

CoRR, 2024

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

Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang

CoRR, 2024

Visual Robotic Manipulation with Depth-Aware Pretraining.

Wanying Wang, Jinming Li, Yichen Zhu, Zhiyuan Xu, Zhengping Che, Yaxin Peng, Chaomin Shen, Dong Liu, Feifei Feng, Jian Tang

CoRR, 2024

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

Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang

CoRR, 2024

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking.

Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Object-Centric Instruction Augmentation for Robotic Manipulation.

Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SM³: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects.

Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression.

Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search.

Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang

IEEE Trans. Neural Networks Learn. Syst., December, 2023

New IEEE Robotics and Automation Society Standards Study Group on Service Robotics [Standards].

Yasen Cai, Zhengping Che

IEEE Robotics Autom. Mag., September, 2023

Distributional generative adversarial imitation learning with reproducing kernel generalization.

Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng

Neural Networks, August, 2023

SRRNet: A Semantic Representation Refinement Network for Image Segmentation.

Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng

IEEE Trans. Multim., 2023

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

Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Jian Tang

CoRR, 2023

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

Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang

CoRR, 2023

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

Haowen Wang, Zhengping Che, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

CoRR, 2023

DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field.

Haowen Wang, Zhipeng Fan, Zhen Zhao, Zhengping Che, Zhiyuan Xu, Dong Liu, Feifei Feng, Yakun Huang, Xiuquan Qiao, Jian Tang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network.

Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CP³: Channel Pruning Plug-in for Point-Based Networks.

Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.

Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi

IEEE Trans. Neural Networks Learn. Syst., 2022

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.

Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang

IEEE Trans. Intell. Transp. Syst., 2022

Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning.

Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Label-Guided Auxiliary Training Improves 3D Object Detector.

Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

RGB-Depth Fusion GAN for Indoor Depth Completion.

Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

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.

Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu

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.

Sirisha Rambhatla, Zhengping Che, Yan Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Human Pose Transfer with Disentangled Feature Consistency.

Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding

CoRR, 2021

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

Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang

CoRR, 2021

MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series.

Sanjay Purushotham, Yaguang Li, Zhengping Che

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?

Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Stage Fusion for Multi-Class 3D Lidar Detection.

Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation.

Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning.

Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Fast Object Detection with Latticed Multi-Scale Feature Fusion.

Yue Shi, Bo Jiang, Zhengping Che, Jian Tang

CoRR, 2020

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

Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi

CoRR, 2020

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.

Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye

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.

Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

D²-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.

Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye

CoRR, 2019

DBUS: Human Driving Behavior Understanding System.

Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Benchmarking deep learning models on large healthcare datasets.

Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu

J. Biomed. Informatics, 2018

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series.

Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets.

Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu

CoRR, 2017

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

Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu

CoRR, 2017

Deep Learning Solutions to Computational Phenotyping in Health Care.

Zhengping Che, Yan Liu

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.

Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Deep Learning Solutions for Classifying Patients on Opioid Use.

Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu

Proceedings of the AMIA 2017, 2017

Time Series Feature Learning with Applications to Health Care.

Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu

CoRR, 2016

Interpretable Deep Models for ICU Outcome Prediction.

Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu

Proceedings of the AMIA 2016, 2016

2015

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain.

Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu

CoRR, 2015

Deep Computational Phenotyping.

Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu

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

Causal Phenotype Discovery via Deep Networks.

David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel

Proceedings of the AMIA 2015, 2015

2014

An Examination of Multivariate Time Series Hashing with Applications to Health Care.

David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard G. Medioni, Randall C. Wetzel, Patrick Ross

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014