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 (TRECVID, 2007)

Multimodal photo annotation and retrieval on a mobile phone. - Xavier Anguera; Jiejun Xu; Nuria Oliver (Multimedia Information Retrieval, 2008)

Global annotation on georeferenced photographs. - Jim Kleban; Emily Moxley; Jiejun Xu; B. S. Manjunath (CIVR, 2009)

Not all tags are created equal: Learning flickr tag semantics for global annotation. - Emily Moxley; Jim Kleban; Jiejun Xu; B. S. Manjunath (ICME, 2009)

Spatial-temporal understanding of urban scenes through large camera network. - Jiejun Xu; Zefeng Ni; Carter De Leo; Thomas Kuo; Bangalore S. Manjunath (MPVA@MM, 2010)

Multi-object detection and behavior recognition from motion 3D data. - Kyungnam Kim; Michael Cao; Shankar Rao; Jiejun Xu; Swarup Medasani; Yuri Owechko (CVPR Workshops, 2011)

Object browsing and searching in a camera network using graph models. - Zefeng Ni; Jiejun Xu; B. S. Manjunath (CVPR Workshops, 2012)

Unified hypergraph for image ranking in a multimodal context. - Jiejun Xu; Vishwakarma Singh; Ziyu Guan; B. S. Manjunath (ICASSP, 2012)

Context-aware graph modeling for object search and retrieval in a wide area camera network. - Santhoshkumar Sunderrajan; Jiejun Xu; B. S. Manjunath (ICDSC, 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)

2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection. - Jiejun Xu; Kyungnam Kim; Zhiqi Zhang; Hai-Wen Chen; Yuri Owechko (CVPR Workshops, 2014)

Civil Unrest Prediction: A Tumblr-Based Exploration. - Jiejun Xu; Tsai-Ching Lu; Ryan Compton 001; David Allen (SBP, 2014)

Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. - Jiejun Xu; Ryan Compton 001; Tsai-Ching Lu; David Allen (WebSci, 2014)

Quantifying cross-platform engagement through large-scale user alignment. - Jiejun Xu; Tsai-Ching Lu; Ryan Compton 001; David Allen (WebSci, 2014)

Inferring the geographic focus of online documents from social media sharing patterns. - Ryan Compton 001; Matthew S. Keegan; Jiejun Xu (CoRR, 2014)

Using publicly visible social media to build detailed forecasts of civil unrest. - Ryan Compton 001; Craig Lee; Jiejun Xu; Luis Artieda-Moncada; Tsai-Ching Lu; Lalindra De Silva; Michael Macy (Secur. Informatics, 2014)

Multi-Label Learning With Fused Multimodal Bi-Relational Graph. - Jiejun Xu; Vignesh Jagadeesh; B. S. Manjunath (IEEE Trans. Multim., 2014)

Toward precise user-topic alignment in online social media. - Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2015)

Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors. - Kyungnam Kim; David J. Huber; Jiejun Xu; Deepak Khosla (ISVC (1), 2015)

3D Perception for Autonomous Robot Exploration. - Jiejun Xu; Kyungnam Kim; Lei Zhang; Deepak Khosla (ISVC (1), 2015)

Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. - Jiejun Xu; Tsai-Ching Lu (IUI, 2015)

Inferring User Interests on Tumblr. - Jiejun Xu; Tsai-Ching Lu (SBP, 2015)

Automated classification of extremist Twitter accounts using content-based and network-based features. - Daniel Xie; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2016)

Cross-modal event summarization: A network of networks approach. - Jiejun Xu; Samuel D. Johnson; Kang-Yu Ni (IEEE BigData, 2016)

What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. - Daniel Xie; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2017)

iNEAT: Incomplete Network Alignment. - Si Zhang; Hanghang Tong; Jie Tang 001; Jiejun Xu; Wei Fan 001 (ICDM, 2017)

An Agent-Based Model of Posting Behavior During Times of Societal Unrest. - Krishna C. Bathina; Aruna Jammalamadaka; Jiejun Xu; Tsai-Ching Lu (SBP-BRiMS, 2017)

Learning Network Dynamics from Tumblr®: A Search for Influential Users. - Steven Munn; Kang-Yu Ni; Jiejun Xu (SBP-BRiMS, 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 (WebSci, 2017)

EDSV: Emerging Defect Surveillance for Vehicles. - Jiejun Xu; Daniel Xie; Tsai-Ching Lu; John A. Cafeo (WebSci, 2017)

From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. - Dana Warmsley; Jiejun Xu; Tsai-Ching Lu (IEEE BigData, 2018)

Graph Convolutional Networks: Algorithms, Applications and Open Challenges. - Si Zhang; Hanghang Tong; Jiejun Xu; Ross Maciejewski (CSoNet, 2018)

GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. - Jiejun Xu; Hanghang Tong; Tsai-Ching Lu; Jingrui He; Nadya Bliss (WSDM, 2018)

Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks. - Alexei Kopylov; Jiejun Xu (IEEE BigData, 2019)

G-Finder: Approximate Attributed Subgraph Matching. - Lihui Liu; Boxin Du; Jiejun Xu; Hanghang Tong (IEEE BigData, 2019)

ORIGIN: Non-Rigid Network Alignment. - Si Zhang; Hanghang Tong; Jiejun Xu; Yifan Hu 001; Ross Maciejewski (IEEE BigData, 2019)

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. - Santosh Pandey; Xiaoye Sherry Li; Aydin Buluç; Jiejun Xu; Hang Liu 001 (HPEC, 2019)

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. - Jun Wu 019; Jingrui He; Jiejun Xu (KDD, 2019)

Misc-GAN: A Multi-scale Generative Model for Graphs. - Dawei Zhou 003; Lecheng Zheng; Jiejun Xu; Jingrui He (Frontiers Big Data, 2019)

Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. - Alexei Kopylov; Jiejun Xu; Kang-Yu Ni; Shane Roach; Tsai-Ching Lu (IEEE BigData, 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 003; Jun Wu 019; Lihui Liu; Yuchen Yan; Jingrui He; et al. (IEEE BigData, 2020)

NetTrans: Neural Cross-Network Transformation. - Si Zhang; Hanghang Tong; Yinglong Xia; Liang Xiong; Jiejun Xu (KDD, 2020)

Incomplete Network Alignment: Problem Definitions and Fast Solutions. - Si Zhang; Hanghang Tong; Jie Tang 001; Jiejun Xu; Wei Fan 001 (ACM Trans. Knowl. Discov. Data, 2020)

Characterizing Disease Spreading via Visibility Graph Embedding. - Kang-Yu Ni; Jiejun Xu; Shane Roach; Tsai-Ching Lu; Alexei Kopylov (IEEE BigData, 2021)

Deep Adversarial Network Alignment. - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CIKM, 2021)

DESTINE: Dense Subgraph Detection on Multi-Layered Networks. - Zhe Xu 007; Si Zhang; Yinglong Xia; Liang Xiong; Jiejun Xu; Hanghang Tong (CIKM, 2021)

KompaRe: A Knowledge Graph Comparative Reasoning System. - Lihui Liu; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (KDD, 2021)

Multimodal Road Sign Interpretation for Autonomous Vehicles. - Joshua Lampkins; Darren Chan; Alan Perry; Sasha Strelnikoff; Jiejun Xu; Alireza Esna Ashari (IEEE Big Data, 2022)

Comparative Reasoning for Knowledge Graph Fact Checking. - Lihui Liu; Houxiang Ji; Jiejun Xu; Hanghang Tong (IEEE Big Data, 2022)

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. - Dana Warmsley; Alex Waagen; Jiejun Xu; Zhining Liu 002; Hanghang Tong (IEEE Big Data, 2022)

Joint Knowledge Graph Completion and Question Answering. - Lihui Liu; Boxin Du; Jiejun Xu; Yinglong Xia; Hanghang Tong (KDD, 2022)

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. - Lihui Liu; Ruining Zhao; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (IEEE Data Eng. Bull., 2022)

Learning Explainable Multi-view Representations for Malware Authorship Attribution. - Irsyad Adam; Alex Waagen; Dana Warmsley; Jiejun Xu (IEEE Big Data, 2023)

Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. - Sasha Strelnikoff; Jiejun Xu; Alireza Esna Ashari (ICMLA, 2023)

Neural Multi-network Diffusion towards Social Recommendation. - Boxin Du; Lihui Liu; Jiejun Xu; Fei Wang 065; Hanghang Tong (CoRR, 2023)

A Unified Language Model Approach for the Semantic Interpretation of Traffic Signs. - Sasha Strelnikoff; Neha Pullabhotla; Jiejun Xu; Alireza Esna Ashari (IEEE Big Data, 2024)

The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2024). - Jiejun Xu; Hanghang Tong; Andrea L. Bertozzi (CIKM, 2024)

Fairgen: Towards Fair Graph Generation. - Lecheng Zheng; Dawei Zhou 003; Hanghang Tong; Jiejun Xu; Yada Zhu; Jingrui He (ICDE, 2024)

Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations. - Dana Warmsley; Jiejun Xu; Samuel D. Johnson (SBP-BRiMS, 2024)

Automated Label Placement on Maps via Large Language Models. - Harry Shomer; Jiejun Xu (CoRR, 2025)