Jiejun Xu - RankMe

64 papers A* 6A 6B 5C 1Misc 1Journal 12Unranked 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated Label Placement on Maps via Large Language Models. CoRR Harry Shomer, Jiejun Xu
2025	—	`conf`	Two-Stage Optimization Method for Large-Scale Multi-Target Multi-Satellite Tasking. ICDM (Workshops) Nigel Stepp, Samuel D. Johnson, Jiejun Xu, Travis Hansen, Elizabeth Jurrus, Trevor Dobson
2024	B	`conf`	A Unified Language Model Approach for the Semantic Interpretation of Traffic Signs. IEEE Big Data Sasha Strelnikoff, Neha Pullabhotla, Jiejun Xu, Alireza Esna Ashari
2024	—	`conf`	Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations. SBP-BRiMS Dana Warmsley, Jiejun Xu, Samuel D. Johnson
2024	A*	`conf`	Fairgen: Towards Fair Graph Generation. ICDE Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024	A	`conf`	The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA CIKM Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi
2023	J	`jnl`	FairGen: Towards Fair Graph Generation. CoRR Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2023	B	`conf`	Learning Explainable Multi-view Representations for Malware Authorship Attribution. IEEE Big Data Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu
2023	J	`jnl`	Neural Multi-network Diffusion towards Social Recommendation. CoRR Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
2023	C	`conf`	Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. ICMLA Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari
2022	B	`conf`	A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong
2022	B	`conf`	Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong
2022	A*	`conf`	Joint Knowledge Graph Completion and Question Answering. KDD Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
2022	J	`jnl`	Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
2022	B	`conf`	Multimodal Road Sign Interpretation for Autonomous Vehicles. IEEE Big Data Joshua Lampkins, Darren Chan, Alan Perry, Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari
2021	—	`conf`	Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov
2021	A	`conf`	DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong
2021	A	`conf`	Deep Adversarial Network Alignment. CIKM Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021	A*	`conf`	KompaRe: A Knowledge Graph Comparative Reasoning System. KDD Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
2020	—	`conf`	CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 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
2020	J	`jnl`	Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2020	A*	`conf`	NetTrans: Neural Cross-Network Transformation. KDD Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu
2020	—	`conf`	Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge Graphs. IEEE BigData Alexei Kopylov, Jiejun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu
2019	A*	`conf`	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. KDD Jun Wu, Jingrui He, Jiejun Xu
2019	J	`jnl`	DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. CoRR Jun Wu, Jingrui He, Jiejun Xu
2019	J	`jnl`	Deep Adversarial Network Alignment. CoRR Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2019	—	`conf`	Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks. IEEE BigData Alexei Kopylov, Jiejun Xu
2019	—	`conf`	G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong
2019	—	`conf`	H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. HPEC Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu
2019	J	`jnl`	Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He
2019	—	`conf`	ORIGIN: Non-Rigid Network Alignment. IEEE BigData Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski
2018	—	`conf`	From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData Dana Warmsley, Jiejun Xu, Tsai-Ching Lu
2018	A	`conf`	GTA WSDM Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2018	—	`conf`	Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski
2017	—	`conf`	An Agent-Based Model of Posting Behavior During Times of Societal Unrest. SBP-BRiMS Krishna C. Bathina, Aruna Jammalamadaka, Jiejun Xu, Tsai-Ching Lu
2017	—	`conf`	Characterizing Regional and Behavioral Device Variations Across the Twitter Timeline: A Longitudinal Study. WebSci Laura Cruz-Albrecht, Jiejun Xu, Kang-Yu Ni, Tsai-Ching Lu
2017	—	`conf`	EDSV: Emerging Defect Surveillance for Vehicles. WebSci Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo
2017	—	`conf`	Learning Network Dynamics from Tumblr®: A Search for Influential Users. SBP-BRiMS Steven Munn, Kang-Yu Ni, Jiejun Xu
2017	—	`conf`	What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData Daniel Xie, Jiejun Xu, Tsai-Ching Lu
2017	A*	`conf`	iNEAT: Incomplete Network Alignment. ICDM Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2016	—	`conf`	Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData Daniel Xie, Jiejun Xu, Tsai-Ching Lu
2016	—	`conf`	Cross-modal event summarization: A network of networks approach. IEEE BigData Jiejun Xu, Samuel D. Johnson, Kang-Yu Ni
2015	—	`conf`	3D Perception for Autonomous Robot Exploration. ISVC (1) Jiejun Xu, Kyungnam Kim, Lei Zhang, Deepak Khosla
2015	—	`conf`	Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors. ISVC (1) Kyungnam Kim, David J. Huber, Jiejun Xu, Deepak Khosla
2015	—	`conf`	Inferring User Interests on Tumblr. SBP Jiejun Xu, Tsai-Ching Lu
2015	A	`conf`	Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI Jiejun Xu, Tsai-Ching Lu
2015	—	`conf`	Toward precise user-topic alignment in online social media. IEEE BigData Jiejun Xu, Tsai-Ching Lu
2014	—	`conf`	2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection. CVPR Workshops Jiejun Xu, Kyungnam Kim, Zhiqi Zhang, Hai-Wen Chen, Yuri Owechko
2014	—	`conf`	Civil Unrest Prediction: A Tumblr-Based Exploration. SBP Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
2014	J	`jnl`	Inferring the geographic focus of online documents from social media sharing patterns. CoRR Ryan Compton, Matthew S. Keegan, Jiejun Xu
2014	J	`jnl`	Multi-Label Learning With Fused Multimodal Bi-Relational Graph. IEEE Trans. Multim. Jiejun Xu, Vignesh Jagadeesh, B. S. Manjunath
2014	—	`conf`	Quantifying cross-platform engagement through large-scale user alignment. WebSci Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen
2014	—	`conf`	Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen
2014	J	`jnl`	Using publicly visible social media to build detailed forecasts of civil unrest. Secur. Informatics Ryan Compton, Craig Lee, Jiejun Xu, Luis Artieda-Moncada, Tsai-Ching Lu, Lalindra De Silva, Michael Macy
2013	—	`conf`	Context-aware graph modeling for object search and retrieval in a wide area camera network. ICDSC Santhoshkumar Sunderrajan, Jiejun Xu, B. S. Manjunath
2013	J	`jnl`	Graph-Based Topic-Focused Retrieval in Distributed Camera Network. IEEE Trans. Multim. Jiejun Xu, Vignesh Jagadeesh, Zefeng Ni, Santhoshkumar Sunderrajan, B. S. Manjunath
2012	—	`conf`	Object browsing and searching in a camera network using graph models. CVPR Workshops Zefeng Ni, Jiejun Xu, B. S. Manjunath
2012	Misc	`conf`	Unified hypergraph for image ranking in a multimodal context. ICASSP Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath
2011	—	`conf`	Multi-object detection and behavior recognition from motion 3D data. CVPR Workshops Kyungnam Kim, Michael Cao, Shankar Rao, Jiejun Xu, Swarup Medasani, Yuri Owechko
2010	—	`conf`	Spatial-temporal understanding of urban scenes through large camera network. MPVA@MM Jiejun Xu, Zefeng Ni, Carter De Leo, Thomas Kuo, Bangalore S. Manjunath
2009	—	`conf`	Global annotation on georeferenced photographs. CIVR Jim Kleban, Emily Moxley, Jiejun Xu, B. S. Manjunath
2009	A	`conf`	Not all tags are created equal: Learning flickr tag semantics for global annotation. ICME Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjunath
2008	—	`conf`	Multimodal photo annotation and retrieval on a mobile phone. Multimedia Information Retrieval Xavier Anguera, Jiejun Xu, Nuria Oliver
2007	—	`conf`	UThe Vision Research Lab of UCSB at TRECVID 2007. TRECVID Elisa Drelie Gelasca, Swapna Joshi, Jim Kleban, Stephen Mangiat, B. S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu