Zhiqiang He

According to our database, Zhiqiang He authored at least 55 papers between 2013 and 2024.

Collaborative distances:

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

2024

Deep Learning Based Occluded Person Re-Identification: A Survey.

Yunjie Peng, Jinlin Wu, Boqiang Xu, Chunshui Cao, Xu Liu, Zhenan Sun, Zhiqiang He

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Neural Architecture Search for GNN-Based Graph Classification.

Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao

ACM Trans. Inf. Syst., January, 2024

Learning rich features for gait recognition by integrating skeletons and silhouettes.

Yunjie Peng, Kang Ma, Yang Zhang, Zhiqiang He

Multim. Tools Appl., January, 2024

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization.

Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao Shi, Jianping Fan, Yong Rui, Zhiqiang He

CoRR, 2024

2023

Unleashing the Power of Graph Learning through LLM-based Autonomous Agents.

Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao

CoRR, 2023

Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification.

Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao

Proceedings of the ACM Web Conference 2023, 2023

Occluded Gait Recognition.

Yunjie Peng, Chunshui Cao, Zhiqiang He

Proceedings of the International Joint Conference on Neural Networks, 2023

Learning How to Learn Domain-Invariant Parameters for Domain Generalization.

Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He

Proceedings of the IEEE International Conference on Acoustics, 2023

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.

Yang Liu, Yao Zhang, Yixin Wang, Yang Zhang, Jiang Tian, Zhongchao Shi, Jianping Fan, Zhiqiang He

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

2022

Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach.

Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao

CoRR, 2022

Learning to Learn Domain-invariant Parameters for Domain Generalization.

Feng Hou, Yao Zhang, Yang Liu, Jin Yuan, Cheng Zhong, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He

CoRR, 2022

Deep Learning-based Occluded Person Re-identification: A Survey.

Yunjie Peng, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang, Zhiqiang He

CoRR, 2022

Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images.

Yao Zhang, Jiawei Yang, Yang Liu, Jiang Tian, Siyun Wang, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

CoRR, 2022

Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective.

Lanning Wei, Huan Zhao, Zhiqiang He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.

Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.

Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir

IEEE Trans. Medical Imaging, 2021

Learn Layer-wise Connections in Graph Neural Networks.

Lanning Wei, Huan Zhao, Zhiqiang He

CoRR, 2021

A Survey of Visual Transformers.

Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He

CoRR, 2021

Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes.

Yunjie Peng, Saihui Hou, Kang Ma, Yang Zhang, Yongzhen Huang, Zhiqiang He

CoRR, 2021

Confidence-Guided Radiology Report Generation.

Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He

CoRR, 2021

Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.

Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

Comput. Methods Programs Biomed., 2021

Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation.

Yao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation.

Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.

Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Pooling Architecture Search for Graph Classification.

Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Introspection unit in memory network: Learning to generalize inference in OOV scenarios.

Qichuan Yang, Zhiqiang He, Zhiqiang Zhan, Yang Zhang, Rang Li, Changjian Hu

Neurocomputing, 2020

Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.

Yixin Wang, Yao Zhang, Yang Liu, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

CoRR, 2020

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.

Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Ziwei Nie, Xiaoping Yang

CoRR, 2020

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.

Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Double-Uncertainty Weighted Method for Semi-supervised Learning.

Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao Shi, Yang Zhang, Zhiqiang He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

FGB: Feature Guidance Branch for Organ Detection in Medical Images.

Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume.

Yao Zhang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He

Proceedings of the 25th International Conference on Pattern Recognition, 2020

GaitPart: Temporal Part-Based Model for Gait Recognition.

Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, Zhiqiang He

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Modality-Pairing Learning for Brain Tumor Segmentation.

Yixin Wang, Yao Zhang, Feng Hou, Yang Liu, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Patch-based self-adaptive matting for high-resolution image and video.

Guangying Cao, Jianwei Li, Xiaowu Chen, Zhiqiang He

Vis. Comput., 2019

Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database.

Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhiqiang He

CoRR, 2019

End-to-End Personalized Humorous Response Generation in Untrimmed Multi-Role Dialogue System.

Qichuan Yang, Zhiqiang He, Zhiqiang Zhan, Rang Li, Yanwei Lee, Yang Zhang, Changjian Hu

IEEE Access, 2019

Discrimination Assessment for Saliency Maps.

Ruiyi Li, Yangzhou Du, Zhongchao Shi, Yang Zhang, Zhiqiang He

Proceedings of the Natural Language Processing and Chinese Computing, 2019

MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue^*.

Qichuan Yang, Zhiqiang He, Zhiqiang Zhan, Jianyu Zhao, Yang Zhang, Changjian Hu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Image Co-segmentation via Multi-scale Local Shape Transfer.

Wei Teng, Yu Zhang, Xiaowu Chen, Jia Li, Zhiqiang He

CoRR, 2018

Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure.

Yaowei Li, Yao Zhang, Lina Zhao, Yang Zhang, Chengyu Liu, Li Zhang, Liuxin Zhang, Zhensheng Li, Binhua Wang, Eyk Ng, Jianqing Li, Zhiqiang He

IEEE Access, 2018

SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation.

Yao Zhang, Xuan Jiang, Cheng Zhong, Yang Zhang, Zhongchao Shi, Zhensheng Li, Zhiqiang He

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification.

Jianyu Zhao, Zhiqiang Zhan, Qichuan Yang, Yang Zhang, Changjian Hu, Zhensheng Li, Liuxin Zhang, Zhiqiang He

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Modality-specific and hierarchical feature learning for RGB-D hand-held object recognition.

Xiong Lv, Xinda Liu, Xiangyang Li, Xue Li, Shuqiang Jiang, Zhiqiang He

Multim. Tools Appl., 2017

A survey on context-aware mobile visual recognition.

Weiqing Min, Shuqiang Jiang, Shuhui Wang, Ruihan Xu, Yushan Cao, Luis Herranz, Zhiqiang He

Multim. Syst., 2017

Sequence-to-sequence prediction of personal computer software by recurrent neural network.

Qichuan Yang, Zhiqiang He, Fujiang Ge, Yang Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Relative Pose Estimation Algorithm with Gyroscope Sensor.

Shanshan Wei, Zhiqiang He, Wei Xie

J. Sensors, 2016

Gyroscope and visual fusion solution for digital video stabilization.

Shanshan Wei, Zhiqiang He, Wei Xie

J. Electronic Imaging, 2016

A Time Localization System in Smart Home Using Hierarchical Structure and Dynamic Frequency.

Qichuan Yang, Zhiqiang He, Kai Zhao, Tian Gao

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Local Shape Transfer for Image Co-segmentation.

Wei Teng, Yu Zhang, Xiaowu Chen, Jia Li, Zhiqiang He

Proceedings of the British Machine Vision Conference 2016, 2016

2014

A Visualized Framework of Automatic Orchestration Engine Supporting Hybrid Cloud Resources.

Ruiqi Sun, Jie Yang, Zhan Gao, Zhiqiang He

Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

A virtual machine based task scheduling approach to improving data locality for virtualized Hadoop.

Ruiqi Sun, Jie Yang, Zhan Gao, Zhiqiang He

Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

2013

LSoVC: A Framework for Taking Live Snapshot of Virtual Cluster in the Cloud.

Ruiqi Sun, Jie Yang, Zhan Gao, Zhiqiang He

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

An Approach to Minimizing Downtime Induced by Taking Live Snapshot of Virtual Cluster.

Ruiqi Sun, Jie Yang, Zhiqiang He

Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013