Jiejun Xu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 37

Top Topics

Semantic Parsing

Subgraph Matching

Top Venues

Publications

Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
Fairgen: Towards Fair Graph Generation. ICDE (2024)
Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari
Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. ICMLA (2023)
Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
Neural Multi-network Diffusion towards Social Recommendation. CoRR (2023)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
FairGen: Towards Fair Graph Generation. CoRR (2023)
Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu
Learning Explainable Multi-view Representations for Malware Authorship Attribution. BigData (2023)
Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. 45 (4) (2022)
Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. Big Data (2022)
Joshua Lampkins, Darren Chan, Alan Perry, Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari
Multimodal Road Sign Interpretation for Autonomous Vehicles. Big Data (2022)
Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
Joint Knowledge Graph Completion and Question Answering. KDD (2022)
Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong
Comparative Reasoning for Knowledge Graph Fact Checking. Big Data (2022)
Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov
Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData (2021)
Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM (2021)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CIKM (2021)
Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD (2021)
Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
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
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData (2020)
Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu
Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. IEEE BigData (2020)
Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu
NetTrans: Neural Cross-Network Transformation. KDD (2020)
Alexei Kopylov, Jiejun Xu
Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks. IEEE BigData (2019)
Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski
ORIGIN: Non-Rigid Network Alignment. IEEE BigData (2019)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CoRR (2019)
Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu
H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. HPEC (2019)
Jun Wu, Jingrui He, Jiejun Xu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. KDD (2019)
Jun Wu, Jingrui He, Jiejun Xu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. CoRR (2019)
Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He
Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data 2 (2019)
Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong
G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData (2019)
Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski
Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet (2018)
Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM (2018)
Dana Warmsley, Jiejun Xu, Tsai-Ching Lu
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData (2018)
Daniel Xie, Jiejun Xu, Tsai-Ching Lu
What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData (2017)
Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu
Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study. WebSci (2017)
Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo
EDSV: Emerging Defect Surveillance for Vehicles. WebSci (2017)
Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
iNEAT: Incomplete Network Alignment. ICDM (2017)
Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu
An Agent-Based Model of Posting Behavior During Times of Societal Unrest. SBP-BRiMS (2017)
Steven Munn, Kang-Yu Ni, Jiejun Xu
Learning Network Dynamics from Tumblr®: A Search for Influential Users. SBP-BRiMS (2017)
Daniel Xie, Jiejun Xu, Tsai-Ching Lu
Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData (2016)
Jiejun Xu, Samuel D. Johnson, Kang-Yu Ni
Cross-modal event summarization: A network of networks approach. IEEE BigData (2016)
Jiejun Xu, Tsai-Ching Lu
Toward precise user-topic alignment in online social media. IEEE BigData (2015)
Jiejun Xu, Tsai-Ching Lu
Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI (2015)
Jiejun Xu, Kyungnam Kim, Lei Zhang, Deepak Khosla
3D Perception for Autonomous Robot Exploration. ISVC (1) (2015)
Kyungnam Kim, David J. Huber, Jiejun Xu, Deepak Khosla
Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors. ISVC (1) (2015)
Jiejun Xu, Tsai-Ching Lu
Inferring User Interests on Tumblr. SBP (2015)
Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen
Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci (2014)
Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
Civil Unrest Prediction: A Tumblr-Based Exploration. SBP (2014)
Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
Using publicly visible social media to build detailed forecasts of civil unrest. Secur. Informatics 3 (1) (2014)
Ryan Compton, Matthew S. Keegan, Jiejun Xu
Inferring the geographic focus of online documents from social media sharing patterns. CoRR (2014)
Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
Quantifying cross-platform engagement through large-scale user alignment. WebSci (2014)
Jiejun Xu, Vignesh Jagadeesh, B. S. Manjunath
Multi-Label Learning With Fused Multimodal Bi-Relational Graph. IEEE Trans. Multim. 16 (2) (2014)
Jiejun Xu, Kyungnam Kim, Zhiqi Zhang, Hai-Wen Chen, Yuri Owechko
2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection. CVPR Workshops (2014)
Jiejun Xu, Vignesh Jagadeesh, Zefeng Ni, Santhoshkumar Sunderrajan, B. S. Manjunath
Graph-Based Topic-Focused Retrieval in Distributed Camera Network. IEEE Trans. Multim. 15 (8) (2013)
Santhoshkumar Sunderrajan, Jiejun Xu, B. S. Manjunath
Context-aware graph modeling for object search and retrieval in a wide area camera network. ICDSC (2013)
Zefeng Ni, Jiejun Xu, B. S. Manjunath
Object browsing and searching in a camera network using graph models. CVPR Workshops (2012)
Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath
Unified hypergraph for image ranking in a multimodal context. ICASSP (2012)
Kyungnam Kim, Michael Cao, Shankar Rao, Jiejun Xu, Swarup Medasani, Yuri Owechko
Multi-object detection and behavior recognition from motion 3D data. CVPR Workshops (2011)
Jiejun Xu, Zefeng Ni, Carter De Leo, Thomas Kuo, Bangalore S. Manjunath
Spatial-temporal understanding of urban scenes through large camera network. MPVA@MM (2010)
Jim Kleban, Emily Moxley, Jiejun Xu, B. S. Manjunath
Global annotation on georeferenced photographs. CIVR (2009)
Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjunath
Not all tags are created equal: Learning flickr tag semantics for global annotation. ICME (2009)
Xavier Anguera, Jiejun Xu, Nuria Oliver
Multimodal photo annotation and retrieval on a mobile phone. Multimedia Information Retrieval (2008)
Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu
UThe Vision Research Lab of UCSB at TRECVID 2007. TRECVID (2007)