2.4k citations
- Tsinghua UniversityCN36 papers
- Chinese Academy of SciencesCN30 papers
- Peking UniversityCN27 papers
- National Engineering Laboratory of Deep Learning Technology and ApplicationCN25 papers
- University of Science and Technology of ChinaCN24 papers
- University of Technology SydneyAU20 papers
- Beihang UniversityCN16 papers
- Rutgers, The State University of New JerseyUS16 papers
- University of Hong KongHK16 papers
- University of Maryland, College ParkUS15 papers
- University of Chinese Academy of SciencesCN13 papers
- Zhejiang UniversityCN13 papers
31 papers · 1 filter
Collaborative Company Profiling: Insights from an Employee's Perspective
Hao Lin, Hengshu Zhu, Yuan Zuo +3
Company profiling is an analytical process to build an indepth understanding of company's fundamental characteristics. It serves as an effective way to gain vital information of th…
Recruitment Market Trend Analysis with Sequential Latent Variable Models
Chen Zhu, Hengshu Zhu, Hui Xiong +2
Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the rapid deve…
Topic Compositional Neural Language Model
Wenlin Wang, Zhe Gan, Wenqi Wang +5
We propose a Topic Compositional Neural Language Model (TCNLM), a novel method designed to simultaneously capture both the global semantic meaning and the local word ordering struc…
Enhance Visual Recognition under Adverse Conditions via Deep Networks
Ding Liu, Bowen Cheng, Zhangyang Wang +2
Visual recognition under adverse conditions is a very important and challenging problem of high practical value, due to the ubiquitous existence of quality distortions during image…
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions
Weiran Shen, Binghui Peng, Hanpeng Liu +7
In this study, we apply reinforcement learning techniques and propose what we call reinforcement mechanism design to tackle the dynamic pricing problem in sponsored search auctions…
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification
Xiang Long, Chuang Gan, Gerard de Melo +3
Recently, substantial research effort has focused on how to apply CNNs or RNNs to better extract temporal patterns from videos, so as to improve the accuracy of video classificatio…