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Jiejun Xu
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2020 – today
- 2024
- [c50]Jiejun Xu
, Hanghang Tong
The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2024). CIKM 2024: 5603-5604 - [c49]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. ICDE 2024: 2285-2297 - [c48]Dana Warmsley, Jiejun Xu, Samuel D. Johnson:
Assessing the Sociocultural Alignment of Large Language Models: An Empirical Study of Chinese-Speaking Populations. SBP-BRiMS 2024: 246-256 - 2023
- [c47]Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu:
Learning Explainable Multi-view Representations for Malware Authorship Attribution. IEEE Big Data 2023: 3099-3106 - [c46]Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari:
Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. ICMLA 2023: 1771-1777 - [i5]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i4]Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong:
Neural Multi-network Diffusion towards Social Recommendation. CoRR abs/2304.04994 (2023) - 2022
- [j6]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): 19-38 (2022) - [c45]Lihui Liu, Houxiang Ji
Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data 2022: 2309-2312 - [c44]Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data 2022: 2932-2939 - [c43]Joshua Lampkins, Darren Chan, Alan Perry, Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari:
Multimodal Road Sign Interpretation for Autonomous Vehicles. IEEE Big Data 2022: 5979-5987 - [c42]Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong:
Joint Knowledge Graph Completion and Question Answering. KDD 2022: 1098-1108 - 2021
- [c41]Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov:
Characterizing Disease Spreading via Visibility Graph Embedding. IEEE BigData 2021: 2656-2661 - [c40]Tyler Derr
Deep Adversarial Network Alignment. CIKM 2021: 352-361 - [c39]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM 2021: 3558-3562 - [c38]Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD 2021: 3308-3318 - 2020
- [j5]Si Zhang
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020) - [c37]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c36]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: 2539-2545 - [c35]Si Zhang, Hanghang Tong
NetTrans: Neural Cross-Network Transformation. KDD 2020: 986-996
2010 – 2019
- 2019
- [j4]Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He:
Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data 2: 3 (2019) - [c34]Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong
G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData 2019: 513-522 - [c33]Si Zhang, Hanghang Tong
ORIGIN: Non-Rigid Network Alignment. IEEE BigData 2019: 998-1007 - [c32]Alexei Kopylov, Jiejun Xu:
Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks. IEEE BigData 2019: 4906-4912 - [c31]Santosh Pandey
H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. HPEC 2019: 1-7 - [c30]Jun Wu
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. KDD 2019: 406-415 - [i3]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i2]Jun Wu, Jingrui He, Jiejun Xu:
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. CoRR abs/1906.02319 (2019) - 2018
- [c29]Dana Warmsley, Jiejun Xu, Tsai-Ching Lu:
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media. IEEE BigData 2018: 3991-3995 - [c28]Si Zhang, Hanghang Tong
Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet 2018: 79-91 - [c27]Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM 2018: 803 - 2017
- [c26]Daniel Xie, Jiejun Xu, Tsai-Ching Lu:
What's trending tomorrow, today: Using early adopters to discover popular posts on Tumblr. IEEE BigData 2017: 2168-2176 - [c25]Si Zhang, Hanghang Tong
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194 - [c24]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: 53-59 - [c23]Steven Munn, Kang-Yu Ni, Jiejun Xu:
Learning Network Dynamics from Tumblr®: A Search for Influential Users. SBP-BRiMS 2017: 204-213 - [c22]Jiejun Xu, Daniel Xie, Tsai-Ching Lu, John A. Cafeo:
EDSV: Emerging Defect Surveillance for Vehicles. WebSci 2017: 219-222 - [c21]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: 279-288 - 2016
- [c20]Jiejun Xu, Samuel D. Johnson, Kang-Yu Ni:
Cross-modal event summarization: A network of networks approach. IEEE BigData 2016: 1653-1657 - [c19]Daniel Xie, Jiejun Xu, Tsai-Ching Lu:
Automated classification of extremist Twitter accounts using content-based and network-based features. IEEE BigData 2016: 2545-2549 - 2015
- [c18]Jiejun Xu, Tsai-Ching Lu:
Toward precise user-topic alignment in online social media. IEEE BigData 2015: 767-775 - [c17]Kyungnam Kim, David J. Huber, Jiejun Xu, Deepak Khosla:
Efficient Algorithms for Indoor MAV Flight Using Vision and Sonar Sensors. ISVC (1) 2015: 419-431 - [c16]Jiejun Xu, Kyungnam Kim, Lei Zhang, Deepak Khosla:
3D Perception for Autonomous Robot Exploration. ISVC (1) 2015: 888-900 - [c15]Jiejun Xu, Tsai-Ching Lu:
Seeing the Big Picture from Microblogs: Harnessing Social Signals for Visual Event Summarization. IUI 2015: 62-66 - [c14]Jiejun Xu, Tsai-Ching Lu:
Inferring User Interests on Tumblr. SBP 2015: 458-463 - 2014
- [j3]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): 4 (2014) - [j2]Jiejun Xu, Vignesh Jagadeesh, B. S. Manjunath:
Multi-Label Learning With Fused Multimodal Bi-Relational Graph. IEEE Trans. Multim. 16(2): 403-412 (2014) - [c13]Jiejun Xu, Kyungnam Kim, Zhiqi Zhang, Hai-Wen Chen, Yuri Owechko:
2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection. CVPR Workshops 2014: 778-784 - [c12]Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen:
Civil Unrest Prediction: A Tumblr-Based Exploration. SBP 2014: 403-411 - [c11]Jiejun Xu, Ryan Compton, Tsai-Ching Lu, David Allen:
Rolling through tumblr: characterizing behavioral patterns of the microblogging platform. WebSci 2014: 13-22 - [c10]Jiejun Xu, Tsai-Ching Lu, Ryan Compton, David Allen:
Quantifying cross-platform engagement through large-scale user alignment. WebSci 2014: 281-282 - [i1]Ryan Compton, Matthew S. Keegan, Jiejun Xu:
Inferring the geographic focus of online documents from social media sharing patterns. CoRR abs/1406.2392 (2014) - 2013
- [j1]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): 2046-2057 (2013) - [c9]Santhoshkumar Sunderrajan, Jiejun Xu, B. S. Manjunath:
Context-aware graph modeling for object search and retrieval in a wide area camera network. ICDSC 2013: 1-7 - 2012
- [c8]Zefeng Ni, Jiejun Xu, B. S. Manjunath:
Object browsing and searching in a camera network using graph models. CVPR Workshops 2012: 7-14 - [c7]Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath:
Unified hypergraph for image ranking in a multimodal context. ICASSP 2012: 2333-2336 - 2011
- [c6]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: 37-42 - 2010
- [c5]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: 29-32
2000 – 2009
- 2009
- [c4]Jim Kleban, Emily Moxley, Jiejun Xu, B. S. Manjunath:
Global annotation on georeferenced photographs. CIVR 2009 - [c3]Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjunath:
Not all tags are created equal: Learning flickr tag semantics for global annotation. ICME 2009: 1452-1455 - 2008
- [c2]Xavier Anguera
Multimodal photo annotation and retrieval on a mobile phone. Multimedia Information Retrieval 2008: 188-194 - 2007
- [c1]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
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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