Jiejun Xu

According to our database, Jiejun Xu authored at least 56 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Multi-network Diffusion towards Social Recommendation.

Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong

CoRR, 2023

FairGen: Towards Fair Graph Generation.

Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He

CoRR, 2023

Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs.

Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari

Proceedings of the International Conference on Machine Learning and Applications, 2023

Learning Explainable Multi-view Representations for Malware Authorship Attribution.

Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms.

Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong

IEEE Data Eng. Bull., 2022

Joint Knowledge Graph Completion and Question Answering.

Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis.

Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

Comparative Reasoning for Knowledge Graph Fact Checking.

Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

Multimodal Road Sign Interpretation for Autonomous Vehicles.

Joshua Lampkins, Darren Chan, Alan Perry, Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari

Proceedings of the IEEE International Conference on Big Data, 2022

2021

KompaRe: A Knowledge Graph Comparative Reasoning System.

Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DESTINE: Dense Subgraph Detection on Multi-Layered Networks.

Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Adversarial Network Alignment.

Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Characterizing Disease Spreading via Visibility Graph Embedding.

Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Incomplete Network Alignment: Problem Definitions and Fast Solutions.

Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan

ACM Trans. Knowl. Discov. Data, 2020

NetTrans: Neural Cross-Network Transformation.

Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.

Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs.

Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Misc-GAN: A Multi-scale Generative Model for Graphs.

Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He

Frontiers Big Data, 2019

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.

Jun Wu, Jingrui He, Jiejun Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs.

Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

ORIGIN: Non-Rigid Network Alignment.

Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

G-Finder: Approximate Attributed Subgraph Matching.

Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks.

Alexei Kopylov, Jiejun Xu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

GTA³ 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.

Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Graph Convolutional Networks: Algorithms, Applications and Open Challenges.

Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski

Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media.

Dana Warmsley, Jiejun Xu, Tsai-Ching Lu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

EDSV: Emerging Defect Surveillance for Vehicles.

Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo

Proceedings of the 2017 ACM on Web Science Conference, 2017

Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study.

Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu

Proceedings of the 2017 ACM on Web Science Conference, 2017

Learning Network Dynamics from Tumblr®: A Search for Influential Users.

Steven Munn, Kang-Yu Ni, Jiejun Xu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

An Agent-Based Model of Posting Behavior During Times of Societal Unrest.

Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

iNEAT: Incomplete Network Alignment.

Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr.

Daniel Xie, Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Cross-modal event summarization: A network of networks approach.

Jiejun Xu, Samuel D. Johnson, Kang-Yu Ni

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Automated classification of extremist Twitter accounts using content-based and network-based features.

Daniel Xie, Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Inferring User Interests on Tumblr.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

3D Perception for Autonomous Robot Exploration.

Jiejun Xu, Kyungnam Kim, Lei Zhang, Deepak Khosla

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors.

Kyungnam Kim, David J. Huber, Jiejun Xu, Deepak Khosla

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Toward precise user-topic alignment in online social media.

Jiejun Xu, Tsai-Ching Lu

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Multi-Label Learning With Fused Multimodal Bi-Relational Graph.

Jiejun Xu, Vignesh Jagadeesh, B. S. Manjunath

IEEE Trans. Multim., 2014

Using publicly visible social media to build detailed forecasts of civil unrest.

Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy

Secur. Informatics, 2014

Inferring the geographic focus of online documents from social media sharing patterns.

Ryan Compton, Matthew S. Keegan, Jiejun Xu

CoRR, 2014

Quantifying cross-platform engagement through large-scale user alignment.

Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen

Proceedings of the ACM Web Science Conference, 2014

Rolling through tumblr: characterizing behavioral patterns of the microblogging platform.

Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen

Proceedings of the ACM Web Science Conference, 2014

Civil Unrest Prediction: A Tumblr-Based Exploration.

Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection.

Jiejun Xu, Kyungnam Kim, Zhiqi Zhang, Hai-Wen Chen, Yuri Owechko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Graph-Based Topic-Focused Retrieval in Distributed Camera Network.

Jiejun Xu, Vignesh Jagadeesh, Zefeng Ni, Santhoshkumar Sunderrajan, B. S. Manjunath

IEEE Trans. Multim., 2013

Context-aware graph modeling for object search and retrieval in a wide area camera network.

Santhoshkumar Sunderrajan, Jiejun Xu, B. S. Manjunath

Proceedings of the Seventh International Conference on Distributed Smart Cameras, 2013

2012

Unified hypergraph for image ranking in a multimodal context.

Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Object browsing and searching in a camera network using graph models.

Zefeng Ni, Jiejun Xu, B. S. Manjunath

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011

Multi-object detection and behavior recognition from motion 3D data.

Kyungnam Kim, Michael Cao, Shankar Rao, Jiejun Xu, Swarup Medasani, Yuri Owechko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Spatial-temporal understanding of urban scenes through large camera network.

Jiejun Xu, Zefeng Ni, Carter De Leo, Thomas Kuo, Bangalore S. Manjunath

Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis, 2010

2009

Not all tags are created equal: Learning flickr tag semantics for global annotation.

Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjunath

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Global annotation on georeferenced photographs.

Jim Kleban, Emily Moxley, Jiejun Xu, B. S. Manjunath

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008

Multimodal photo annotation and retrieval on a mobile phone.

Xavier Anguera, Jiejun Xu, Nuria Oliver

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007

UThe Vision Research Lab of UCSB at TRECVID 2007.

Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu

Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007