Zekai Wang

Orcid: 0000-0003-3896-8423

According to our database1, Zekai Wang authored at least 22 papers between 2019 and 2024.

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Bibliography

2024
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction.
IEEE J. Biomed. Health Informatics, March, 2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects.
CoRR, 2024

DRF: Improving Certified Robustness via Distributional Robustness Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sequential ensemble learning for next item recommendation.
Knowl. Based Syst., October, 2023

Task Variance Regularized Multi-Task Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals.
Comput. Biol. Medicine, March, 2023

A High-Reliable Wireless Sensor Network Coverage Scheme in Substations for the Power Internet of Things.
Symmetry, 2023

Better Diffusion Models Further Improve Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Multi-Branching Temporal Convolutional Network for Sepsis Prediction.
IEEE J. Biomed. Health Informatics, 2022

On the Tradeoff Between Robustness and Fairness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustness Verification for Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2022

Resilient Power System Black-start Restoration Model Considering Uncertain Renewable Energy.
Proceedings of the 17th International Conference on Control, 2022

Multi-Branching Neural Network for Myocardial Infarction Prediction.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Prediction of Diabetic Retinopathy Using Longitudinal Electronic Health Records.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Power System Resilience Enhancement in Typhoons Using a Three-Stage Day-Ahead Unit Commitment.
IEEE Trans. Smart Grid, 2021

FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations.
CoRR, 2021

BanditMTL: Bandit-based Multi-task Learning for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids.
IEEE Trans. Smart Grid, 2020

2019
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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