Yongjian Zhong

17 papers A* 6A 1B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Conformal Edge-Weight Prediction in Latent Space.
SDM
Akash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Mark Heimann, Jayaraman J. Thiagarajan, Bijaya Adhikari
2025 B conf
Implicit Hypergraph Neural Network.
IEEE Big Data
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
2025 J jnl
Implicit Hypergraph Neural Network.
CoRR
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
2025 A* conf
Implicit Subgraph Neural Network.
ICML
Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari
2025 J jnl
Optimal large-scale stochastic optimization of NDCG surrogates for deep learning.
Mach. Learn.
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Wei-Wei Tu, Lijun Zhang, Tianbao Yang
2024 A* conf
Efficient and Effective Implicit Dynamic Graph Neural Network.
KDD
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
2024 J jnl
Efficient and Effective Implicit Dynamic Graph Neural Network.
CoRR
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
2024 — conf
End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities.
ICHI
Yongjian Zhong, Weiyu Huang, Bijaya Adhikari
2023 A* conf
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.
NeurIPS
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
2023 J jnl
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.
CoRR
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
2022 A* conf
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
ICML
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
2022 J jnl
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.
CoRR
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong, Lijun Zhang, Tianbao Yang
2022 A* conf
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.
NeurIPS
Quanqi Hu, Yongjian Zhong, Tianbao Yang
2022 J jnl
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.
CoRR
Quanqi Hu, Yongjian Zhong, Tianbao Yang
2021 J jnl
Learning to reweight examples in multi-label classification.
Neural Networks
Yongjian Zhong, Bo Du, Chang Xu
2020 J jnl
An innovative multi-label learning based algorithm for city data computing.
GeoInformatica
Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu
2018 A* conf
Independent Feature and Label Components for Multi-label Classification.
ICDM
Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang