Haochao Ying

According to our database, Haochao Ying authored at least 32 papers between 2014 and 2023.

Collaborative distances:

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

2023

DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy.

Jiehui Zhou, Xumeng Wang, Jason K. Wong, Huanliang Wang, Zhongwei Wang, Xiaoyu Yang, Xiaoran Yan, Haozhe Feng, Huamin Qu, Haochao Ying, Wei Chen

IEEE Trans. Vis. Comput. Graph., 2023

2022

A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection.

Tingting Chen, Wenhao Zheng, Haochao Ying, Xiangyu Tan, Kexin Li, Xiaoping Li, Danny Z. Chen, Jian Wu

IEEE Trans. Medical Imaging, 2022

Recurrent Neural Network Based Collaborative Filtering for QoS Prediction in IoV.

Tingting Liang, Manman Chen, Yuyu Yin, Li Zhou, Haochao Ying

IEEE Trans. Intell. Transp. Syst., 2022

Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation.

Tingting Chen, Xuechen Liu, Ruiwei Feng, Wenzhe Wang, Chunnv Yuan, Weiguo Lu, Haizhen He, Honghao Gao, Haochao Ying, Danny Z. Chen, Jian Wu

IEEE J. Biomed. Health Informatics, 2022

Automatic CT whole-lung segmentation in radiomics discrimination: Methodology and application in pneumonia diagnosis and distinguishment.

Shichao Quan, Hui Chen, Liaoyi Lin, Zeren Shi, Haochao Ying, Changzheng Yuan, Ping Wang, Shiyuan Liu, Li Fan

Displays, 2022

Robust Training of Graph Neural Networks via Noise Governance.

Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu

CoRR, 2022

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases.

Jintai Chen, Kuanlun Liao, Kun Wei, Haochao Ying, Danny Z. Chen, Jian Wu

Proceedings of the International Conference on Machine Learning, 2022

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.

Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction.

Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Z. Chen, Jian Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.

Jintai Chen, Haochao Ying, Xuechen Liu, Jingjing Gu, Ruiwei Feng, Tingting Chen, Honghao Gao, Jian Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A semi-supervised deep convolutional framework for signet ring cell detection.

Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z. Chen, Jian Wu

Neurocomputing, 2021

Cascaded SE-ResUnet for segmentation of thoracic organs at risk.

Zheng Cao, Bohan Yu, Biwen Lei, Haochao Ying, Xiao Zhang, Danny Z. Chen, Jian Wu

Neurocomputing, 2021

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework.

Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying

CoRR, 2021

Full Scale Attention for Automated COVID-19 Diagnosis from CT Images.

Zheng Cao, Cailin Mu, Haochao Ying, Jian Wu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

CAMAR: a broad learning based context-aware recommender for mobile applications.

Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu

Knowl. Inf. Syst., 2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.

Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong

J. Comput. Sci. Technol., 2020

Emotion Detection in Online Social Networks: A Multilabel Learning Approach.

Xiao Zhang, Wenzhong Li, Haochao Ying, Feng Li, Siyi Tang, Sanglu Lu

IEEE Internet Things J., 2020

Dynamic Measurement and Data Calibration for Aerial Mobile IoT.

Jingjing Gu, Cheng Liu, Yi Zhuang, Xiaojiang Du, Fuzhen Zhuang, Haochao Ying, Yanchao Zhao, Mohsen Guizani

IEEE Internet Things J., 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.

Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Spatial Object Recommendation with Hints: When Spatial Granularity Matters.

Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Hierarchical Graph Network for 3D Object Detection on Point Clouds.

Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu

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

2019

Time-aware metric embedding with asymmetric projection for successive POI recommendation.

Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong

World Wide Web, 2019

Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine.

Tingting Chen, Jun Xu, Haochao Ying, Xiaojun Chen, Ruiwei Feng, Xueling Fang, Honghao Gao, Jian Wu

IEEE Access, 2019

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.

Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Improving automatic source code summarization via deep reinforcement learning.

Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Sequential Recommender System based on Hierarchical Attention Networks.

Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation.

Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu

Proceedings of the 25th International Conference on World Wide Web, 2016

Temporal Pattern Based QoS Prediction.

Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong, Athman Bouguettaya

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback.

Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub.

Haochao Ying, Liang Chen, Tingting Liang, Jian Wu

Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering, 2016

2015

Crowdsourcing Based API Search via Leveraging Twitter Lists Information.

Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, Jian Wu

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Co-Clustering WSDL Documents to Bootstrap Service Discovery.

Tingting Liang, Liang Chen, Haochao Ying, Jian Wu

Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014