Independent Feature and Label Components for Multi-label Classification. - Yongjian Zhong; Chang Xu 002; Bo Du 001; Lefei Zhang (ICDM, 2018)

An innovative multi-label learning based algorithm for city data computing. - Mengqing Mei; Yongjian Zhong; Fazhi He; Chang Xu 002 (GeoInformatica, 2020)

Learning to reweight examples in multi-label classification. - Yongjian Zhong; Bo Du 001; Chang Xu 002 (Neural Networks, 2021)

Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence. - Zi-Hao Qiu; Quanqi Hu; Yongjian Zhong; Lijun Zhang 005; Tianbao Yang (ICML, 2022)

Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization. - Quanqi Hu; Yongjian Zhong; Tianbao Yang (NeurIPS, 2022)

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. - Bang An 002; Xun Zhou 001; Yongjian Zhong; Tianbao Yang (NeurIPS, 2023)

End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities. - Yongjian Zhong; Weiyu Huang; Bijaya Adhikari (ICHI, 2024)

Efficient and Effective Implicit Dynamic Graph Neural Network. - Yongjian Zhong; Hieu Vu; Tianbao Yang; Bijaya Adhikari (KDD, 2024)

Conformal Edge-Weight Prediction in Latent Space. - Akash Choudhuri; Yongjian Zhong; Mehrdad Moharrami; Christine Klymko; Mark Heimann; Jayaraman J. Thiagarajan; Bijaya Adhikari (SDM, 2025)

Optimal large-scale stochastic optimization of NDCG surrogates for deep learning. - Zi-Hao Qiu; Quanqi Hu; Yongjian Zhong; Wei-Wei Tu; Lijun Zhang 005; Tianbao Yang (Mach. Learn., 2025)