Zhengping Che
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Training-Free Generation of Temporally Consistent Rewards from VLMs. | Yinuo Zhao, Jiale Yuan, Zhiyuan Xu, Xiaoshuai Hao, Xinyi Zhang, Kun Wu, Zhengping Che, Chi Harold Liu, Jian Tang |
| 2025 | IROS | HACTS: a Human-As-Copilot Teleoperation System for Robot Learning. | Zhiyuan Xu, Yinuo Zhao, Kun Wu, Ning Liu, Junjie Ji, Zhengping Che, Chi Harold Liu, Jian Tang |
| 2025 | ICRA | Learning From Imperfect Demonstrations With Self-Supervision for Robotic Manipulation. | Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Jian Tang |
| 2024 | AAAI | 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 |
| 2024 | ICRA | SM | Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang |
| 2024 | ICRA | 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 |
| 2024 | ICRA | 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 |
| 2023 | CVPR | CP | Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang |
| 2023 | ICRA | 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 |
| 2022 | AAAI | I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. | Sirisha Rambhatla, Zhengping Che, Yan Liu |
| 2022 | AAAI | 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 |
| 2022 | CVPR | RGB-Depth Fusion GAN for Indoor Depth Completion. | Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang |
| 2022 | ECCV | 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 |
| 2022 | PPSN | 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 |
| 2021 | ICCV | Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. | Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang |
| 2021 | ICML | 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 |
| 2021 | KDD | MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. | Sanjay Purushotham, Yaguang Li, Zhengping Che |
| 2020 | AAAI | Generative Attention Networks for Multi-Agent Behavioral Modeling. | Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu |
| 2018 | ICML | Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. | Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu |
| 2017 | AMIA | Deep Learning Solutions for Classifying Patients on Opioid Use. | Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu |
| 2017 | ICDM | Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. | Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu |
| 2017 | ICDM | Deep Learning Solutions to Computational Phenotyping in Health Care. | Zhengping Che, Yan Liu |
| 2016 | AMIA | Interpretable Deep Models for ICU Outcome Prediction. | Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu |
| 2015 | AMIA | Causal Phenotype Discovery via Deep Networks. | David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel |
| 2015 | KDD | Deep Computational Phenotyping. | Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu |
| 2014 | ICDM | An Examination of Multivariate Time Series Hashing with Applications to Health Care. | David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Grard G. Medioni, Randall C. Wetzel, Patrick Ross |