200 citations · 1.6k across the 79 of their papers we have counts for
9 papers · 1 filter
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu +4
The wide spread use of online recruitment services has led to information explosion in the job market. As a result, the recruiters have to seek the intelligent ways for Person Job…
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Zhi Li, Hongke Zhao, Qi Liu +3
In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendations are be…
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi +3
Although stochastic gradient descent (SGD) method and its variants (e.g., stochastic momentum methods, AdaGrad) are the choice of algorithms for solving non-convex problems (especi…
Regularizing Neural Machine Translation by Target-bidirectional Agreement
Zhirui Zhang, Shuangzhi Wu, Shujie Liu +3
Although Neural Machine Translation (NMT) has achieved remarkable progress in the past several years, most NMT systems still suffer from a fundamental shortcoming as in other seque…
A Hierarchical Attention Model for Social Contextual Image Recommendation
Le Wu, Lei Chen, Richang Hong +3
Image based social networks are among the most popular social networking services in recent years. With tremendous images uploaded everyday, understanding users' preferences on use…
Tracking Top-K Influential Vertices in Dynamic Networks
Yu Yang, Zhefeng Wang, Tianyuan Jin +2
Influence propagation in networks has enjoyed fruitful applications and has been extensively studied in literature. However, only very limited preliminary studies tackled the chall…
Joint Training for Neural Machine Translation Models with Monolingual Data
Zhirui Zhang, Shujie Liu, Mu Li +2
Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) sy…
Mining Density Contrast Subgraphs
Yu Yang, Lingyang Chu, Yanyan Zhang +3
Dense subgraph discovery is a key primitive in many graph mining applications, such as detecting communities in social networks and mining gene correlation from biological data. Mo…
SPINE: Structural Identity Preserved Inductive Network Embedding
Junliang Guo, Linli Xu, Jingchang Liu
Recent advances in the field of network embedding have shown that low-dimensional network representation is playing a critical role in network analysis. Most existing network embed…