Yu Wang

Orcid: 0009-0002-9663-2231

Affiliations:
  • Alibaba Group DAMO Academy AI Center, Hangzhou, China


According to our database1, Yu Wang authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2024

Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

2023
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.
Neural Comput. Appl., 2022

Solving vehicle routing problem by memetic search with evolutionary multitasking.
Memetic Comput., 2022

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Effective 3d Boundary Learning via a Nonlocal Deformable Network.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Learned snakes for 3D image segmentation.
Signal Process., 2021

Development and validation of a practical instrument for evaluating players' familiarity with exergames.
Int. J. Hum. Comput. Stud., 2021

Towards Parkinson's Disease Prognosis Using Self-Supervised Learning and Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021

SpineOne: A One-Stage Detection Framework for Degenerative Discs and Vertebrae.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learned Full-Sampling Reconstruction From Incomplete Data.
IEEE Trans. Computational Imaging, 2020

Landmarks Detection with Anatomical Constraints for Total Hip Arthroplasty Preoperative Measurements.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Explainable and Argumentation-based Decision Making with Qualitative Preferences for Diagnostics and Prognostics of Alzheimer's Disease.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Explainable and Contextual Preferences based Decision Making with Assumption-based Argumentation for Diagnostics and Prognostics of Alzheimer's Disease.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Learned Full-Sampling Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Concept Detection based on Multi-label Classification and Image Captioning Approach - DAMO at ImageCLEF 2019.
Proceedings of the Working Notes of CLEF 2019, 2019


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