Yongjian Zhong

According to our database, Yongjian Zhong authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

Efficient and Effective Implicit Dynamic Graph Neural Network.

Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities.

Yongjian Zhong, Weiyu Huang, Bijaya Adhikari

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.

Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.

Quanqi Hu, Yongjian Zhong, Tianbao Yang

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

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.

Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning to reweight examples in multi-label classification.

Yongjian Zhong, Bo Du, Chang Xu

Neural Networks, 2021

2020

An innovative multi-label learning based algorithm for city data computing.

Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu

GeoInformatica, 2020

2018

Independent Feature and Label Components for Multi-label Classification.

Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018