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2020 – today
- 2024
[c6]Yongjian Zhong, Weiyu Huang, Bijaya Adhikari:
End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities. ICHI 2024: 83-92- [c5]Yongjian Zhong
, Hieu Vu, Tianbao Yang, Bijaya Adhikari:
Efficient and Effective Implicit Dynamic Graph Neural Network. KDD 2024: 4595-4606 - [i4]Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari:
Efficient and Effective Implicit Dynamic Graph Neural Network. CoRR abs/2406.17894 (2024) - 2023
- [c4]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS 2023 - [i3]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR abs/2310.00270 (2023) - 2022
- [c3]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: 18122-18152 - [c2]Quanqi Hu, Yongjian Zhong, Tianbao Yang:
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. NeurIPS 2022 - [i2]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 abs/2202.12183 (2022) - [i1]Quanqi Hu, Yongjian Zhong, Tianbao Yang:
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. CoRR abs/2206.00260 (2022) - 2021
- [j2]Yongjian Zhong, Bo Du, Chang Xu:
Learning to reweight examples in multi-label classification. Neural Networks 142: 428-436 (2021) - 2020
- [j1]Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu:
An innovative multi-label learning based algorithm for city data computing. GeoInformatica 24(1): 221-245 (2020)
2010 – 2019
- 2018
- [c1]Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang:
Independent Feature and Label Components for Multi-label Classification. ICDM 2018: 827-836
Coauthor Index
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