Haochao Ying

Orcid: 0000-0001-7832-2518

According to our database1, Haochao Ying authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading.
IEEE Trans. Medical Imaging, March, 2024

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis.
CoRR, 2024

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance.
IEEE Trans. Vis. Comput. Graph., June, 2023

Federated Representation Learning With Data Heterogeneity for Human Mobility Prediction.
IEEE Trans. Intell. Transp. Syst., June, 2023

DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy.
IEEE Trans. Vis. Comput. Graph., 2023

Jointly Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis.
CoRR, 2023

M<sup>3</sup>CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders.
CoRR, 2023

Robust Training of Graph Neural Networks via Noise Governance.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Image Ordinal Regression with Controllable Image Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection.
IEEE Trans. Medical Imaging, 2022

Recurrent Neural Network Based Collaborative Filtering for QoS Prediction in IoV.
IEEE Trans. Intell. Transp. Syst., 2022

Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation.
IEEE J. Biomed. Health Informatics, 2022

Automatic CT whole-lung segmentation in radiomics discrimination: Methodology and application in pneumonia diagnosis and distinguishment.
Displays, 2022

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases.
Proceedings of the International Conference on Machine Learning, 2022

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.
Proceedings of the IEEE International Conference on Acoustics, 2022

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

User Multi-behavior Enhanced POI Recommendation with Efficient and Informative Negative Sampling.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A semi-supervised deep convolutional framework for signet ring cell detection.
Neurocomputing, 2021

Cascaded SE-ResUnet for segmentation of thoracic organs at risk.
Neurocomputing, 2021

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework.
CoRR, 2021

Full Scale Attention for Automated COVID-19 Diagnosis from CT Images.
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.
Knowl. Inf. Syst., 2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020

Emotion Detection in Online Social Networks: A Multilabel Learning Approach.
IEEE Internet Things J., 2020

Dynamic Measurement and Data Calibration for Aerial Mobile IoT.
IEEE Internet Things J., 2020

Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation.
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.
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.
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.
World Wide Web, 2019

Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine.
IEEE Access, 2019

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018
Improving automatic source code summarization via deep reinforcement learning.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Temporal Pattern Based QoS Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub.
Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering, 2016

2015
Crowdsourcing Based API Search via Leveraging Twitter Lists Information.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Co-Clustering WSDL Documents to Bootstrap Service Discovery.
Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014


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