activity
20172023
most citedEnhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

155 citations · 294 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV20212 cited

Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning

Yang Yang, Hongchen Wei, Hengshu Zhu +3

The task of image captioning aims to generate captions directly from images via the automatically learned cross-modal generator. To build a well-performing generator, existing appr…

cs.LG202113 cited

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

Dazhong Shen, Chuan Qin, Chao Wang +3

As one of the most popular generative models, Variational Autoencoder (VAE) approximates the posterior of latent variables based on amortized variational inference. However, when t…

cs.LG20212 cited

Adversarial Neural Trip Recommendation

Linlang Jiang, Jingbo Zhou, Tong Xu +4

Trip recommender system, which targets at recommending a trip consisting of several ordered Points of Interest (POIs), has long been treated as an important application for many lo…

cs.LG202111 cited

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu +2

Recently many efforts have been devoted to applying graph neural networks (GNNs) to molecular property prediction which is a fundamental task for computational drug and material di…

cs.LG202124 cited

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

Weijia Zhang, Hao Liu, Lijun Zha +4

Real estate appraisal refers to the process of developing an unbiased opinion for real property's market value, which plays a vital role in decision-making for various players in t…

cs.SI20212 cited

Butterfly-Core Community Search over Labeled Graphs

Zheng Dong, Xin Huang, Guorui Yuan +2

Community search aims at finding densely connected subgraphs for query vertices in a graph. While this task has been studied widely in the literature, most of the existing works on…