Zekai Wang

According to our database, Zekai Wang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

Efficient Selective Image Fusion: A PCB Diagnosis Approach and Implementation.

Xueqin Wu, Yikai Chen, Zekai Wang, Chenming Tian, Zhonghua Shen

J. Electron. Test., October, 2024

Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction.

Zekai Wang, Suhao Chen, Tieming Liu, Bing Yao

IEEE J. Biomed. Health Informatics, March, 2024

In-Context Learning Enables Robot Action Prediction in LLMs.

Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig

CoRR, 2024

MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records.

Zekai Wang, Tieming Liu, Bing Yao

CoRR, 2024

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

Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, Xiuqiang He

CoRR, 2024

DRF: Improving Certified Robustness via Distributional Robustness Framework.

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sequential ensemble learning for next item recommendation.

Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu

Knowl. Based Syst., October, 2023

Task Variance Regularized Multi-Task Learning.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu

IEEE Trans. Knowl. Data Eng., August, 2023

Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals.

Zekai Wang, Stavros Stavrakis, Bing Yao

Comput. Biol. Medicine, March, 2023

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

Yiteng Lin, Tao Zhou, Zekai Wang

Symmetry, 2023

RVCL: Evaluating the Robustness of Contrastive Learning via Verification.

Zekai Wang, Weiwei Liu

J. Mach. Learn. Res., 2023

Better Diffusion Models Further Improve Adversarial Training.

Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan

Proceedings of the International Conference on Machine Learning, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.

Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.

Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Multi-Branching Temporal Convolutional Network for Sepsis Prediction.

Zekai Wang, Bing Yao

IEEE J. Biomed. Health Informatics, 2022

On the Tradeoff Between Robustness and Fairness.

Xinsong Ma, Zekai Wang, Weiwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustness Verification for Contrastive Learning.

Zekai Wang, Weiwei Liu

Proceedings of the International Conference on Machine Learning, 2022

Resilient Power System Black-start Restoration Model Considering Uncertain Renewable Energy.

Yi Lin, Meng Li, Yuchen Tang, Wei Lin, Zhiming Chen, Zekai Wang, Tao Ding

Proceedings of the 17th International Conference on Control, 2022

Multi-Branching Neural Network for Myocardial Infarction Prediction.

Zekai Wang, Chenang Liu, Bing Yao

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Prediction of Diabetic Retinopathy Using Longitudinal Electronic Health Records.

Suhao Chen, Zekai Wang, Bing Yao, Tieming Liu

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

MetaWeighting: Learning to Weight Tasks in Multi-Task Learning.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie

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.

Tao Ding, Ming Qu, Zekai Wang, Bo Chen, Chen Chen, Mohammad Shahidehpour

IEEE Trans. Smart Grid, 2021

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

Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang

CoRR, 2021

BanditMTL: Bandit-based Multi-task Learning for Text Classification.

Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu

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.

Tao Ding, Zekai Wang, Wenhao Jia, Bo Chen, Chen Chen, Mohammad Shahidehpour

IEEE Trans. Smart Grid, 2020

2019

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation.

Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019