Xiaojun Jia

983 total citations
23 papers, 291 citations indexed

About

Xiaojun Jia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiaojun Jia has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Xiaojun Jia's work include Adversarial Robustness in Machine Learning (13 papers), Advanced Neural Network Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Xiaojun Jia is often cited by papers focused on Adversarial Robustness in Machine Learning (13 papers), Advanced Neural Network Applications (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Xiaojun Jia collaborates with scholars based in China, Singapore and United Kingdom. Xiaojun Jia's co-authors include Xiaochun Cao, Baoyuan Wu, Jue Wang, Xingxing Wei, Ke Ma, Xiaoguang Han, Yong Zhang, Yiming Li, Shu‐Tao Xia and Yong Jiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Xiaojun Jia

20 papers receiving 283 citations

Peers

Countries citing papers authored by Xiaojun Jia

Since Specialization

Citations

This map shows the geographic impact of Xiaojun Jia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaojun Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Jia more than expected).

Fields of papers citing papers by Xiaojun Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaojun Jia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaojun Jia. The network helps show where Xiaojun Jia may publish in the future.

Co-authorship network of co-authors of Xiaojun Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Jia. A scholar is included among the top collaborators of Xiaojun Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojun Jia. Xiaojun Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Scale-Invariant Adversarial Attack Against Arbitrary-Scale Super-Resolution 2025 ·IEEE Transactions on Information Forensics and Security ·Yihao Huang, (unknown), Qing Guo, Felix Juefei-Xu, Xiaojun Jia, (unknown), Geguang Pu, Yang Liu	0
2	PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage 2025 ·Wenyi Zhang, (unknown), Xiaojun Jia, Yihao Huang, Xinfeng Li, Cong Wu, Lina Wang	0
3	CleanerCLIP: Fine-Grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning 2025 ·IEEE Transactions on Information Forensics and Security ·(unknown), Siyuan Liang, Xiaojun Jia, (unknown), Jun Chen, Xiaochun Cao	1
4	JailGuard : A Universal Detection Framework for Prompt-based Attacks on LLM Systems 2025 ·ACM Transactions on Software Engineering and Methodology ·(unknown), (unknown), Tianlin Li, Yihao Huang, Xiaojun Jia, Ming Hu, Jie Zhang, Yang Liu, Shiqing Ma, Chao Shen	2
5	Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiaojun Jia, (unknown), Qing Guo, (unknown), Ke Ma, Yihao Huang, Yang Liu, Ivor W. Tsang, Xiaochun Cao	0
6	Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging 2024 ·IEEE Transactions on Information Forensics and Security ·Xiaojun Jia, (unknown), Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao	6
7	Improving Fast Adversarial Training With Prior-Guided Knowledge 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao	18
8	Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models via Diffusion Models 2024 ·IEEE Transactions on Information Forensics and Security ·(unknown), Shanmin Pang, Xiaojun Jia, Yang Liu, Qing Guo	3
9	Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks 2024 ·IEEE Transactions on Information Forensics and Security ·(unknown), Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao	2
10	Texture Re-Scalable Universal Adversarial Perturbation 2024 ·IEEE Transactions on Information Forensics and Security ·Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu	3
11	Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning 2024 ·(unknown), Xiaojun Jia, (unknown), Siyuan Liang, Xiaochun Cao	2
12	EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model 2024 ·(unknown), Xiaojun Jia, Xiaochun Cao	2
13	Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks 2024 ·IEEE Transactions on Information Forensics and Security ·Xiaojun Jia, Jianshu Li, Jindong Gu, (unknown), Xiaochun Cao	6
14	Does Few-Shot Learning Suffer from Backdoor Attacks? 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Xinwei Liu, Xiaojun Jia, Jindong Gu, Xun Yuan, Siyuan Liang, Xiaochun Cao	1
15	Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds 2024 ·(unknown), Xiaojun Jia, Jindong Gu, Li Liu, (unknown), (unknown), Xiaochun Cao	5
16	Context-Aware Robust Fine-Tuning 2023 ·International Journal of Computer Vision ·Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, (unknown), Hui Xue, Li Zhao	4
17	Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph 2023 ·(unknown), Pengwen Dai, Xiaojun Jia, (unknown), (unknown), Xiaochun Cao	3
18	Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao	18
19	Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection 2023 ·Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Xun Yuan	6
20	Boosting Fast Adversarial Training With Learnable Adversarial Initialization 2022 ·IEEE Transactions on Image Processing ·Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao	40

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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