Jian Xu

Affiliations:
  • University of Notre Dame, Department of Computer Science and Engineering, Notre Dame, IN, USA (PhD 2017)


According to our database1, Jian Xu authored at least 12 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2020
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection.
EPJ Data Sci., 2020

2017
Detecting Anomalies in Sequential Data with Higher-order Networks.
CoRR, 2017

UAPD: Predicting Urban Anomalies from Spatial-Temporal Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Visual Analytics of Higher-order Dependencies in Sensor Data: Demo Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

Mining Features Associated with Effective Tweets.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

HoNVis: Visualizing and exploring higher-order networks.
Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016
Structural Diversity and Homophily: A Study Across More than One Hundred Large-Scale Networks.
CoRR, 2016

2015
Human Interactive Patterns in Temporal Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Representing Higher Order Dependencies in Networks.
CoRR, 2015

2014
Patterns of Ship-borne Species Spread: A Clustering Approach for Risk Assessment and Management of Non-indigenous Species Spread.
CoRR, 2014

Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014


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