102 citations · 264 across the 31 of their papers we have counts for
59 papers
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning
Dongjie Wang, Lingfei Wu, Denghui Zhang +3
The essential task of urban planning is to generate the optimal land-use configuration of a target area. However, traditional urban planning is time-consuming and labor-intensive.…
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps
Jiajia Li, Feng Tan, Cheng He +4
Modern IT system operation demands the integration of system software and hardware metrics. As a result, it generates a massive amount of data, which can be potentially used to mak…
Automatic Scene-based Topic Channel Construction System for E-Commerce
Peng Lin, Yanyan Zou, Lingfei Wu +3
Scene marketing that well demonstrates user interests within a certain scenario has proved effective for offline shopping. To conduct scene marketing for e-commerce platforms, this…
Quantifying hierarchy in scientific teams
Fengli Xu, Lingfei Wu, James A. Evans
This paper provides a detailed description of the data collection and machine learning model used in our recent PNAS paper "Flat Teams Drive Scientific Innovation" Xu et al. [2022a…
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
Ziyang Liu, Chaokun Wang, Hao Feng +2
Online relevance matching is an essential task of e-commerce product search to boost the utility of search engines and ensure a smooth user experience. Previous work adopts either…
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
Cuiying Huo, Di Jin, Chundong Liang +3
Trust evaluation is critical for many applications such as cyber security, social communication and recommender systems. Users and trust relationships among them can be seen as a g…