Zhengping Che

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 64

Top Topics

Multivariate Time Series

Anomaly Detection

Distance Metric Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. ICRA (2024)
Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. CoRR (2024)
Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang
: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. ICRA (2024)
Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang
Object-Centric Instruction Augmentation for Robotic Manipulation. ICRA (2024)
Wanying Wang, Jinming Li, Yichen Zhu, Zhiyuan Xu, Zhengping Che, Yaxin Peng, Chaomin Shen, Dong Liu, Feifei Feng, Jian Tang
Visual Robotic Manipulation with Depth-Aware Pretraining. CoRR (2024)
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
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR (2024)
Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. CoRR (2024)
Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang
: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. CoRR (2024)
Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, Jian Tang
A Survey on Robotics with Foundation Models: toward Embodied AI. CoRR (2024)
Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. AAAI (2024)
Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. CoRR (2024)
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding
Human Pose Transfer with Augmented Disentangled Feature Consistency. ACM Trans. Intell. Syst. Technol. 15 (1) (2024)
Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. CoRR (2024)
Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang
Object-Centric Instruction Augmentation for Robotic Manipulation. CoRR (2024)
Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng
Distributional generative adversarial imitation learning with reproducing kernel generalization. Neural Networks 165 (2023)
Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang
CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. ICRA (2023)
Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang
: Channel Pruning Plug-in for Point-Based Networks. CVPR (2023)
Haowen Wang, Zhipeng Fan, Zhen Zhao, Zhengping Che, Zhiyuan Xu, Dong Liu, Feifei Feng, Yakun Huang, Xiuquan Qiao, Jian Tang
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field. ACM Multimedia (2023)
Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang
: Channel Pruning Plug-in for Point-based Networks. CoRR (2023)
Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang
Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR (2023)
Yasen Cai, Zhengping Che
New IEEE Robotics and Automation Society Standards Study Group on Service Robotics [Standards]. IEEE Robotics Autom. Mag. 30 (3) (2023)
Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network. CoRR (2023)
Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Jian Tang
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering. CoRR (2023)
Haowen Wang, Zhipeng Fan, Zhen Zhao, Zhengping Che, Zhiyuan Xu, Dong Liu, Feifei Feng, Yakun Huang, Xiuquan Qiao, Jian Tang
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field. CoRR (2023)
Haowen Wang, Zhengping Che, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. CoRR (2023)
Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng
SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Trans. Multim. 25 (2023)
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang
Label-Guided Auxiliary Training Improves 3D Object Detector. CoRR (2022)
Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving. CoRR (2022)
Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang
RGB-Depth Fusion GAN for Indoor Depth Completion. CVPR (2022)
Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. AAAI (2022)
Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng
Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. PPSN (1) (2022)
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang
Label-Guided Auxiliary Training Improves 3D Object Detector. ECCV (9) (2022)
Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang
RGB-Depth Fusion GAN for Indoor Depth Completion. CoRR (2022)
Sirisha Rambhatla, Zhengping Che, Yan Liu
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. AAAI (2022)
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR (2021)
Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng
Multi-Stage Fusion for Multi-Class 3D Lidar Detection. ICCVW (2021)
Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR (2021)
Sanjay Purushotham, Yaguang Li, Zhengping Che
MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. KDD (2021)
Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. ICCVW (2021)
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML (2021)
Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang
Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. ICCV (2021)
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding
Human Pose Transfer with Disentangled Feature Consistency. CoRR (2021)
Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu
Generative Attention Networks for Multi-Agent Behavioral Modeling. AAAI (2020)
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. CoRR (2020)
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. CoRR (2020)
Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction. CoRR (2020)
Yue Shi, Bo Jiang, Zhengping Che, Jian Tang
Fast Object Detection with Latticed Multi-Scale Feature Fusion. CoRR (2020)
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. NeurIPS (2020)
Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu
DBUS: Human Driving Behavior Understanding System. ICCV Workshops (2019)
Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye
-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. CoRR (2019)
Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML (2018)
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics 83 (2018)
Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR (2017)
Zhengping Che, Yan Liu
Deep Learning Solutions to Computational Phenotyping in Health Care. ICDM Workshops (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. ICDM (2017)
Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu
Deep Learning Solutions for Classifying Patients on Opioid Use. AMIA (2017)
Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR (2017)
Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR (2017)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Interpretable Deep Models for ICU Outcome Prediction. AMIA (2016)
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu
Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR (2016)
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR (2015)
Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu
Deep Computational Phenotyping. KDD (2015)
David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel
Causal Phenotype Discovery via Deep Networks. AMIA (2015)
David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gérard G. Medioni, Randall C. Wetzel, Patrick Ross
An Examination of Multivariate Time Series Hashing with Applications to Health Care. ICDM (2014)