activity
20182021
most citedJump on the Bandwagon? -- Characterizing Bandwagon Phenomenon in Online NBA Fan Communities

7 citations · 11 across the 2 of their papers we have counts for

collaborators

6 papers

stat.ML20214 cited

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation

Xiaohui Chen, Xu Han, Jiajing Hu +2

A graph generative model defines a distribution over graphs. One type of generative model is constructed by autoregressive neural networks, which sequentially add nodes and edges t…

cs.CY20217 cited

Jump on the Bandwagon? -- Characterizing Bandwagon Phenomenon in Online NBA Fan Communities

Yichen Wang, Jason Shuo Zhang, Xu Han +1

Understanding user dynamics in online communities has become an active research topic and can provide valuable insights for human behavior analysis and community management. In thi…

cs.CV2021

Visual Distant Supervision for Scene Graph Generation

Yuan Yao, Ao Zhang, Xu Han +5

Scene graph generation aims to identify objects and their relations in images, providing structured image representations that can facilitate numerous applications in computer visi…

cs.LG2020

GAN Ensemble for Anomaly Detection

Xu Han, Xiaohui Chen, Li-Ping Liu

When formulated as an unsupervised learning problem, anomaly detection often requires a model to learn the distribution of normal data. Previous works apply Generative Adversarial…

cs.CL2018

Sentence Segmentation for Classical Chinese Based on LSTM with Radical Embedding

Xu Han, Hongsu Wang, Sanqian Zhang +2

In this paper, we develop a low than character feature embedding called radical embedding, and apply it on LSTM model for sentence segmentation of pre modern Chinese texts. The dat…

cs.CV2018

Seed-Point Detection of Clumped Convex Objects by Short-Range Attractive Long-Range Repulsive Particle Clustering

James Kapaldo, Xu Han, Domingo Mery

Locating the center of convex objects is important in both image processing and unsupervised machine learning/data clustering fields. The automated analysis of biological images us…