activity
20202023
most citedTabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

60 citations · 91 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Text-to-Image Generation for Abstract Concepts

Jiayi Liao, Xu Chen, Qiang Fu +5

Recent years have witnessed the substantial progress of large-scale models across various domains, such as natural language processing and computer vision, facilitating the express…

cs.LG2022★ 17 cited

GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection

Xu Chen, Qiu Qiu, Changshan Li +1

In recent years, the emergence and development of third-party platforms have greatly facilitated the growth of the Online to Offline (O2O) business. However, the large amount of tr…

cs.LG2021★ 7 cited

Neuron Campaign for Initialization Guided by Information Bottleneck Theory

Haitao Mao, Xu Chen, Qiang Fu +3

Initialization plays a critical role in the training of deep neural networks (DNN). Existing initialization strategies mainly focus on stabilizing the training process to mitigate…

cs.LG2021★ 60 cited

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data

Lun Du, Fei Gao, Xu Chen +5

Tabular data are ubiquitous for the widespread applications of tables and hence have attracted the attention of researchers to extract underlying information. One of the critical p…

cs.LG2021★ 5 cited

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

Xu Chen, Junshan Wang, Kunqing Xie

With the rapid growth of traffic sensors deployed, a massive amount of traffic flow data are collected, revealing the long-term evolution of traffic flows and the gradual expansion…

cs.LG2020★ 2 cited

TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting

Xu Chen, Yuanxing Zhang, Lun Du +4

Traffic flow forecasting is of great significance for improving the efficiency of transportation systems and preventing emergencies. Due to the highly non-linearity and intricate e…