Yongjian Zhong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Stochastic Optimization

Directly Optimize

Top Venues

Publications

Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
Efficient and Effective Implicit Dynamic Graph Neural Network. KDD (2024)
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
Efficient and Effective Implicit Dynamic Graph Neural Network. CoRR (2024)
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS (2023)
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR (2023)
Quanqi Hu, Yongjian Zhong, Tianbao Yang
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. CoRR (2022)
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. CoRR (2022)
Quanqi Hu, Yongjian Zhong, Tianbao Yang
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. NeurIPS (2022)
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. ICML (2022)
Yongjian Zhong, Bo Du, Chang Xu
Learning to reweight examples in multi-label classification. Neural Networks 142 (2021)
Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu
An innovative multi-label learning based algorithm for city data computing. GeoInformatica 24 (1) (2020)
Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang
Independent Feature and Label Components for Multi-label Classification. ICDM (2018)