An Examination of Multivariate Time Series Hashing with Applications to Health Care. - David C. Kale; Dian Gong; Zhengping Che; Yan Liu 002; Gérard G. Medioni; Randall C. Wetzel; Patrick Ross (ICDM, 2014)

Causal Phenotype Discovery via Deep Networks. - David C. Kale; Zhengping Che; Mohammad Taha Bahadori; Wenzhe Li; Yan Liu 002; Randall C. Wetzel (AMIA, 2015)

Deep Computational Phenotyping. - Zhengping Che; David C. Kale; Wenzhe Li; Mohammad Taha Bahadori; Yan Liu 002 (KDD, 2015)

Distilling Knowledge from Deep Networks with Applications to Healthcare Domain. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (CoRR, 2015)

Interpretable Deep Models for ICU Outcome Prediction. - Zhengping Che; Sanjay Purushotham; Robinder G. Khemani; Yan Liu 002 (AMIA, 2016)

Recurrent Neural Networks for Multivariate Time Series with Missing Values. - Zhengping Che; Sanjay Purushotham; Kyunghyun Cho; David A. Sontag; Yan Liu 002 (CoRR, 2016)

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 002 (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Deep Learning Solutions for Classifying Patients on Opioid Use. - Zhengping Che; Jennifer L. St. Sauver; Hongfang Liu; Yan Liu 002 (AMIA, 2017)

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records. - Zhengping Che; Yu Cheng 001; Shuangfei Zhai; Zhaonan Sun; Yan Liu 002 (ICDM, 2017)

Deep Learning Solutions to Computational Phenotyping in Health Care. - Zhengping Che; Yan Liu 002 (ICDM Workshops, 2017)

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. - Zhengping Che; Yu Cheng 001; Zhaonan Sun; Yan Liu 002 (CoRR, 2017)

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (CoRR, 2017)

Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. - Zhengping Che; Sanjay Purushotham; Max Guangyu Li; Bo Jiang 001; Yan Liu 002 (ICML, 2018)

Benchmarking deep learning models on large healthcare datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (J. Biomed. Informatics, 2018)

DBUS: Human Driving Behavior Understanding System. - Max Guangyu Li; Bo Jiang 001; Zhengping Che; Xuefeng Shi; Mengyao Liu; Yiping Meng; Jieping Ye; Yan Liu 002 (ICCV Workshops, 2019)

D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. - Zhengping Che; Max Guangyu Li; Tracy Li; Bo Jiang 001; Xuefeng Shi; Xinsheng Zhang; Ying Lu; Guobin Wu 001; Yan Liu 002; Jieping Ye (CoRR, 2019)

Generative Attention Networks for Multi-Agent Behavioral Modeling. - Max Guangyu Li; Bo Jiang 001; Hao Zhu; Zhengping Che; Yan Liu 002 (AAAI, 2020)

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. - Zhiyuan Xu; Kun Wu 001; Zhengping Che; Jian Tang 008; Jieping Ye (NeurIPS, 2020)

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction. - Xuanzhao Wang; Zhengping Che; Ke Yang; Bo Jiang; Jian Tang 008; Jieping Ye; Jingyu Wang 001; Qi Qi 001 (CoRR, 2020)

Fast Object Detection with Latticed Multi-Scale Feature Fusion. - Yue Shi; Bo Jiang; Zhengping Che; Jian Tang 008 (CoRR, 2020)

Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. - Chengxiang Yin 001; Kun Wu 001; Zhengping Che; Bo Jiang; Zhiyuan Xu; Jian Tang 008 (ICCV, 2021)

SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. - Xiaofeng Ding 003; Chaomin Shen 001; Zhengping Che; Tieyong Zeng; Yaxin Peng (ICCVW, 2021)

Multi-Stage Fusion for Multi-Class 3D Lidar Detection. - Zejie Wang; Zhen Zhao; Zhao Jin; Zhengping Che; Jian Tang 008; Chaomin Shen 001; Yaxin Peng (ICCVW, 2021)

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (ICML, 2021)

MiLeTS'21: 7th KDD Workshop on Mining and Learning from Time Series. - Sanjay Purushotham; Yaguang Li; Zhengping Che (KDD, 2021)

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (CoRR, 2021)

Human Pose Transfer with Disentangled Feature Consistency. - Kun Wu 001; Chengxiang Yin 001; Zhengping Che; Bo Jiang; Jian Tang 008; Zheng Guan; Gangyi Ding (CoRR, 2021)

I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. - Sirisha Rambhatla; Zhengping Che; Yan Liu 002 (AAAI, 2022)

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. - Yinuo Zhao; Kun Wu 001; Zhiyuan Xu; Zhengping Che; Qi Lu; Jian Tang 008; Chi Harold Liu (AAAI, 2022)

RGB-Depth Fusion GAN for Indoor Depth Completion. - Haowen Wang; Mingyuan Wang 003; Zhengping Che; Zhiyuan Xu; Xiuquan Qiao; Mengshi Qi; Feifei Feng; Jian Tang 008 (CVPR, 2022)

Label-Guided Auxiliary Training Improves 3D Object Detector. - Yaomin Huang; Xinmei Liu; Yichen Zhu; Zhiyuan Xu; Chaomin Shen 001; Zhengping Che; Guixu Zhang; Yaxin Peng; Feifei Feng; Jian Tang 008 (ECCV (9), 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 008; Yaxin Peng (PPSN (1), 2022)

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. - Yiwen Sun; Wenzheng Hu; Donghua Zhou; Baichuan Mo; Kun Fu 002; Zhengping Che; Zheng Wang 010; Shenhao Wang; Jinhua Zhao; Jieping Ye; Jian Tang 008; Changshui Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. - Xuanzhao Wang; Zhengping Che; Bo Jiang; Ning Xiao; Ke Yang; Jian Tang 008; Jieping Ye; Jingyu Wang 001; Qi Qi 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

CP3: Channel Pruning Plug-in for Point-Based Networks. - Yaomin Huang; Ning Liu 007; Zhengping Che; Zhiyuan Xu; Chaomin Shen 001; Yaxin Peng; Guixu Zhang; Xinmei Liu; Feifei Feng; Jian Tang 008 (CVPR, 2023)

CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. - Mingze Wei; Yaomin Huang; Zhiyuan Xu; Ning Liu 007; Zhengping Che; Xinyu Zhang; Chaomin Shen 001; Feifei Feng; Chun Shan; Jian Tang 008 (ICRA, 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 008 (ACM Multimedia, 2023)

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. - Haowen Wang; Zhengping Che; Mingyuan Wang 003; Zhiyuan Xu; Xiuquan Qiao; Mengshi Qi; Feifei Feng; Jian Tang 008 (CoRR, 2023)

Cross-Modal Reasoning with Event Correlation for Video Question Answering. - Chengxiang Yin 001; Zhengping Che; Kun Wu 001; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2023)

Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering. - Chengxiang Yin 001; Zhengping Che; Kun Wu 001; Zhiyuan Xu; Jian Tang 008 (CoRR, 2023)

SRRNet: A Semantic Representation Refinement Network for Image Segmentation. - Xiaofeng Ding 003; Tieyong Zeng; Jian Tang 008; Zhengping Che; Yaxin Peng (IEEE Trans. Multim., 2023)

Distributional generative adversarial imitation learning with reproducing kernel generalization. - Yirui Zhou; Mengxiao Lu; Xiaowei Liu; Zhengping Che; Zhiyuan Xu; Jian Tang 008; Yangchun Zhang; Yan Peng 001; Yaxin Peng (Neural Networks, 2023)

New IEEE Robotics and Automation Society Standards Study Group on Service Robotics [Standards]. - Yasen Cai; Zhengping Che (IEEE Robotics Autom. Mag., 2023)

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. - Yushuo Guan; Ning Liu 007; Pengyu Zhao; Zhengping Che; Kaigui Bian; Yanzhi Wang; Jian Tang 008 (IEEE Trans. Neural Networks Learn. Syst., 2023)

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. - Dong Chen; Ning Liu 007; Yichen Zhu; Zhengping Che; Rui Ma; Fachao Zhang; Xiaofeng Mou; Yi Chang; Jian Tang 008 (AAAI, 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 (ICRA, 2024)

Object-Centric Instruction Augmentation for Robotic Manipulation. - Junjie Wen; Yichen Zhu; Minjie Zhu; Jinming Li; Zhiyuan Xu; Zhengping Che; Chaomin Shen 001; Yaxin Peng; Dong Liu; Feifei Feng; Jian Tang 008 (ICRA, 2024)

Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. - Minjie Zhu; Yichen Zhu; Jinming Li; Junjie Wen; Zhiyuan Xu; Zhengping Che; Chaomin Shen 001; Yaxin Peng; Dong Liu; Feifei Feng; Jian Tang 008 (ICRA, 2024)

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. - Kun Wu 001; Ning Liu 007; Zhen Zhao; Di Qiu; Jinming Li; Zhengping Che; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2024)

Visual Robotic Manipulation with Depth-Aware Pretraining. - Wanying Wang; Jinming Li; Yichen Zhu; Zhiyuan Xu; Zhengping Che; Yaxin Peng; Chaomin Shen 001; Dong Liu; Feifei Feng; Jian Tang 008 (CoRR, 2024)

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. - Yinuo Zhao; Kun Wu 001; Tianjiao Yi; Zhiyuan Xu; Xiaozhu Ju; Zhengping Che; Qinru Qiu; Chi Harold Liu; Jian Tang 008 (CoRR, 2024)

A Survey on Robotics with Foundation Models: toward Embodied AI. - Zhiyuan Xu; Kun Wu 001; Junjie Wen; Jinming Li; Ning Liu 007; Zhengping Che; Jian Tang 008 (CoRR, 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 026; Gao Huang 001; Xianglong Liu 001; Zifu Wan; et al. (CoRR, 2024)

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation. - Kun Wu 001; Chengkai Hou; Jiaming Liu 003; Zhengping Che; Xiaozhu Ju; Zhuqin Yang; Meng Li; Yinuo Zhao; Zhiyuan Xu; Guang Yang; Zhen Zhao; Guangyu Li; et al. (CoRR, 2024)

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. - Kun Wu 001; Yinuo Zhao; Zhiyuan Xu; Zhengping Che; Chengxiang Yin 001; Chi Harold Liu; Qinru Qiu; Feiferi Feng; Jian Tang 008 (CoRR, 2024)

Human Pose Transfer with Augmented Disentangled Feature Consistency. - Kun Wu 001; Chengxiang Yin 001; Zhengping Che; Bo Jiang; Jian Tang 008; Zheng Guan; Gangyi Ding (ACM Trans. Intell. Syst. Technol., 2024)

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. - Wenzheng Hu; Zhengping Che; Ning Liu 007; Mingyang Li; Jian Tang 008; Changshui Zhang; Jianqiang Wang 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. - Haowen Wang; Zhengping Che; Yufan Yang; Mingyuan Wang 003; Zhiyuan Xu; Xiuquan Qiao; Mengshi Qi; Feifei Feng; Jian Tang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation. - Yinuo Zhao; Kun Wu 001; Tianjiao Yi; Zhiyuan Xu; Zhengping Che; Chi Harold Liu; Jian Tang 008 (AAMAS, 2025)

Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation. - Shichao Fan; Quantao Yang; Yajie Liu; Kun Wu 001; Zhengping Che; Qingjie Liu 001; Min Wan (CoRR, 2025)

HACTS: a Human-As-Copilot Teleoperation System for Robot Learning. - Zhiyuan Xu; Yinuo Zhao; Kun Wu 001; Ning Liu 007; Junjie Ji; Zhengping Che; Chi Harold Liu; Jian Tang 008 (CoRR, 2025)

Occupancy World Model for Robots. - Zhang Zhang; Qiang Zhang 029; Wei Cui; Shuai Shi; Yijie Guo; Gang Han; Wen Zhao; Jingkai Sun; Jiahang Cao; Jiaxu Wang; Hao Cheng 015; Xiaozhu Ju; et al. (CoRR, 2025)

SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models. - Meng Li; Zhen Zhao; Zhengping Che; Fei Liao; Kun Wu 001; Zhiyuan Xu; Pei Ren; Zhao Jin; Ning Liu 007; Jian Tang 008 (CoRR, 2025)

ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning. - Zhao Jin; Zhengping Che; Zhen Zhao; Kun Wu 001; Yuheng Zhang; Yinuo Zhao; Zehui Liu; Qiang Zhang; Xiaozhu Ju; Jing Tian; Yousong Xue; Jian Tang 008 (CoRR, 2025)

RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks. - Shiying Duan; Pei Ren; Nanxiang Jiang; Zhengping Che; Jian Tang 008; Yifan Sun; Zhaoxin Fan; Wenjun Wu (CoRR, 2025)

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency. - Yifei Su; Ning Liu 007; Dong Chen; Zhen Zhao; Kun Wu 001; Meng Li; Zhiyuan Xu; Zhengping Che; Jian Tang 008 (CoRR, 2025)

Self-Supervised Multi-Part Articulated Objects Modeling via Deformable Gaussian Splatting and Progressive Primitive Segmentation. - Haowen Wang; Xiaoping Yuan; Zhao Jin; Zhen Zhao; Zhengping Che; Yousong Xue; Jin Tian; Yakun Huang; Jian Tang 008 (CoRR, 2025)

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. - Kun Wu 001; Yinuo Zhao; Zhiyuan Xu; Zhengping Che; Chengxiang Yin 001; Chi Harold Liu; Feifei Feng; Jian Tang 008 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Training-free Generation of Temporally Consistent Rewards from VLMs. - Yinuo Zhao; Jiale Yuan; Zhiyuan Xu; Xiaoshuai Hao; Xinyi Zhang; Kun Wu 001; Zhengping Che; Chi Harold Liu; Jian Tang 008 (CoRR, 2025)