4 citations · 8 across the 4 of their papers we have counts for
4 papers
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong, Hieu Vu, Tianbao Yang +1
Implicit graph neural networks have gained popularity in recent years as they capture long-range dependencies while improving predictive performance in static graphs. Despite the t…
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
Bang An, Xun Zhou, Yongjian Zhong +1
The problem of urban event ranking aims at predicting the top-k most risky locations of future events such as traffic accidents and crimes. This problem is of fundamental importanc…
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Quanqi Hu, Yongjian Zhong, Tianbao Yang
In this paper, we study multi-block min-max bilevel optimization problems, where the upper level is non-convex strongly-concave minimax objective and the lower level is a strongly…
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu, Quanqi Hu, Yongjian Zhong +2
NDCG, namely Normalized Discounted Cumulative Gain, is a widely used ranking metric in information retrieval and machine learning. However, efficient and provable stochastic method…