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2020 – today
- 2024
[j10]Haowen Wang
, Zhengping Che, Yufan Yang, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang:
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7088-7101 (2024)- [j9]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): 3:1-3:22 (2024) - [j8]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): 11595-11607 (2024) - [c28]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: 11258-11266 - [c27]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: 4318-4325 - [c26]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: 4333-4339 - [c25]Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang:
SM3: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. ICRA 2024: 12492-12498 - [i31]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 abs/2401.02814 (2024) - [i30]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 abs/2401.04181 (2024) - [i29]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 abs/2401.08957 (2024) - [i28]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 abs/2401.09038 (2024) - [i27]Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang:
SM3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. CoRR abs/2401.09133 (2024) - [i26]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 abs/2401.09258 (2024) - [i25]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 abs/2402.00084 (2024) - [i24]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 abs/2402.02385 (2024) - [i23]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 abs/2403.07153 (2024) - 2023
- [j7]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: 43-59 (2023) - [j6]Yasen Cai, Zhengping Che:
New IEEE Robotics and Automation Society Standards Study Group on Service Robotics [Standards]. IEEE Robotics Autom. Mag. 30(3): 152-153 (2023) - [j5]Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng:
SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Trans. Multim. 25: 5720-5732 (2023) - [j4]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): 9847-9858 (2023) - [c24]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-Based Networks. CVPR 2023: 5302-5312 - [c23]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: 9125-9131 - [c22]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: 3676-3685 - [i22]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-based Networks. CoRR abs/2303.13097 (2023) - [i21]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 abs/2303.13182 (2023) - [i20]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 abs/2306.03584 (2023) - [i19]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 abs/2308.02239 (2023) - [i18]Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR abs/2312.12721 (2023) - [i17]Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Jian Tang:
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering. CoRR abs/2312.12723 (2023) - 2022
- [j3]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): 23231-23243 (2022) - [j2]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): 2301-2312 (2022) - [c21]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: 3481-3489 - [c20]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: 8045-8053 - [c19]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: 6199-6208 - [c18]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: 684-700 - [c17]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: 385-399 - [i16]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 abs/2202.08557 (2022) - [i15]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 abs/2203.10856 (2022) - [i14]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 abs/2207.11753 (2022) - 2021
- [c16]Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang:
Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. ICCV 2021: 2157-2166 - [c15]Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng:
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. ICCVW 2021: 3002-3011 - [c14]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: 3113-3121 - [c13]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: 7011-7020 - [c12]Sanjay Purushotham, Yaguang Li, Zhengping Che:
MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. KDD 2021: 4151-4152 - [i13]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 abs/2102.11068 (2021) - [i12]Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding:
Human Pose Transfer with Disentangled Feature Consistency. CoRR abs/2107.10984 (2021) - [i11]Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR abs/2110.10921 (2021) - 2020
- [c11]Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu:
Generative Attention Networks for Multi-Agent Behavioral Modeling. AAAI 2020: 7195-7202 - [c10]Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. NeurIPS 2020 - [i10]Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. CoRR abs/2010.07494 (2020) - [i9]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. CoRR abs/2011.02166 (2020) - [i8]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 abs/2011.02763 (2020) - [i7]Yue Shi, Bo Jiang, Zhengping Che, Jian Tang:
Fast Object Detection with Latticed Multi-Scale Feature Fusion. CoRR abs/2011.02780 (2020)
2010 – 2019
- 2019
- [c9]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: 2436-2444 - [i6]Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye:
D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. CoRR abs/1904.01975 (2019) - 2018
- [j1]Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu:
Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics 83: 112-134 (2018) - [c8]Zhengping Che, Sanjay Purushotham, Max Guangyu Li, Bo Jiang, Yan Liu:
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. ICML 2018: 783-792 - 2017
- [c7]Zhengping Che, Jennifer L. St. Sauver, Hongfang Liu, Yan Liu:
Deep Learning Solutions for Classifying Patients on Opioid Use. AMIA 2017 - [c6]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: 787-792 - [c5]Zhengping Che, Yan Liu:
Deep Learning Solutions to Computational Phenotyping in Health Care. ICDM Workshops 2017: 1100-1109 - [p1]Zhengping Che, Sanjay Purushotham, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Robinder G. Khemani, Yan Liu:
Time Series Feature Learning with Applications to Health Care. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 389-409 - [i5]Zhengping Che, Yu Cheng, Zhaonan Sun, Yan Liu:
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. CoRR abs/1701.07474 (2017) - [i4]Zhengping Che, Yu Cheng, Shuangfei Zhai, Zhaonan Sun, Yan Liu:
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. CoRR abs/1709.01648 (2017) - [i3]Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu:
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR abs/1710.08531 (2017) - 2016
- [c4]Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu:
Interpretable Deep Models for ICU Outcome Prediction. AMIA 2016 - [i2]Zhengping Che, Sanjay Purushotham, Kyunghyun Cho, David A. Sontag, Yan Liu:
Recurrent Neural Networks for Multivariate Time Series with Missing Values. CoRR abs/1606.01865 (2016) - 2015
- [c3]David C. Kale, Zhengping Che, Mohammad Taha Bahadori, Wenzhe Li, Yan Liu, Randall C. Wetzel:
Causal Phenotype Discovery via Deep Networks. AMIA 2015 - [c2]Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu:
Deep Computational Phenotyping. KDD 2015: 507-516 - [i1]Zhengping Che, Sanjay Purushotham, Robinder G. Khemani, Yan Liu:
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. CoRR abs/1512.03542 (2015) - 2014
- [c1]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: 260-269
Coauthor Index
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