Fuxun Yu

576 total citations
30 papers, 261 citations indexed

About

Fuxun Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Fuxun Yu has authored 30 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Fuxun Yu's work include Advanced Neural Network Applications (17 papers), Adversarial Robustness in Machine Learning (11 papers) and Machine Learning and ELM (5 papers). Fuxun Yu is often cited by papers focused on Advanced Neural Network Applications (17 papers), Adversarial Robustness in Machine Learning (11 papers) and Machine Learning and ELM (5 papers). Fuxun Yu collaborates with scholars based in United States, United Kingdom and Mexico. Fuxun Yu's co-authors include Xiang Chen, Chenchen Liu, Zirui Xu, Zhuwei Qin, Yanzhi Wang, Xiang Chen, Liang Zhao, Longfei Shangguan, Di Wang and Di Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Fuxun Yu

28 papers receiving 259 citations

Peers

Fuxun Yu
Tianyun Zhang United States
Pete Warden United States
Shijie Li China
Tianyun Zhang United States
Fuxun Yu
Citations per year, relative to Fuxun Yu Fuxun Yu (= 1×) peers Tianyun Zhang

Countries citing papers authored by Fuxun Yu

Since Specialization
Citations

This map shows the geographic impact of Fuxun Yu'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 Fuxun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuxun Yu more than expected).

Fields of papers citing papers by Fuxun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuxun Yu. 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 Fuxun Yu. The network helps show where Fuxun Yu may publish in the future.

Co-authorship network of co-authors of Fuxun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Fuxun Yu. A scholar is included among the top collaborators of Fuxun Yu 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 Fuxun Yu. Fuxun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Fuxun, et al.. (2025). Multi-Agent Geospatial Copilots for Remote Sensing Workflows. 1084–1089.
2.
Patravali, Jay, et al.. (2025). Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. 6011–6021. 1 indexed citations
4.
Shangguan, Longfei, et al.. (2024). LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. 1–4. 2 indexed citations
5.
Jing, Wenpeng, et al.. (2024). Mobility-Aware Computation Offloading for AR Tasks Over Terahertz Wireless Networks: An Offline Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology. 73(12). 19111–19124. 6 indexed citations
6.
Xu, Chenhui, Fuxun Yu, Zirui Xu, et al.. (2024). QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. 19–25. 1 indexed citations
7.
Xu, Zirui, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2022). LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Transactions on Embedded Computing Systems. 22(1). 1–24. 2 indexed citations
8.
Yu, Fuxun, Zirui Xu, Chenchen Liu, et al.. (2022). AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4694–4707. 3 indexed citations
9.
Xu, Zirui, Fuxun Yu, Chenxi Liu, et al.. (2022). FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3634–3644. 6 indexed citations
10.
Yu, Fuxun, Di Wang, Yinpeng Chen, et al.. (2022). SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1061–1070. 33 indexed citations
11.
Yu, Fuxun, Zirui Xu, Zhuwei Qin, & Xiang Chen. (2022). Privacy-preserving federated learning for transportation mode prediction based on personal mobility data. SHILAP Revista de lepidopterología. 2(4). 100082–100082. 6 indexed citations
12.
Qin, Zhuwei, Fuxun Yu, Zirui Xu, Chenchen Liu, & Xiang Chen. (2021). CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(3). 530–543. 2 indexed citations
13.
Yu, Fuxun, et al.. (2020). REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(6). 1258–1271. 21 indexed citations
14.
Xu, Zirui, Fuxun Yu, Zhuwei Qin, Chenchen Liu, & Xiang Chen. (2020). DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(2). 246–259. 11 indexed citations
15.
Liu, Chenchen, Fuxun Yu, Zhuwei Qin, & Xiang Chen. (2020). Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. 133–138. 4 indexed citations
17.
Yu, Fuxun, Chenchen Liu, Di Wang, Yanzhi Wang, & Xiang Chen. (2020). AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. 951–956. 2 indexed citations
18.
Qin, Zhuwei, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2019). CAPTOR. 444–449. 8 indexed citations
19.
Qin, Zhuwei, Fuxun Yu, & Xiang Chen. (2019). Task-adaptive incremental learning for intelligent edge devices. 340–341. 1 indexed citations
20.
Qin, Zhuwei, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2018). Functionality-Oriented Convolutional Filter Pruning. British Machine Vision Conference. 92. 2 indexed citations

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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