Xitong Gao

709 total citations
20 papers, 208 citations indexed

About

Xitong Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Xitong Gao has authored 20 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Hardware and Architecture. Recurrent topics in Xitong Gao's work include Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Xitong Gao is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Xitong Gao collaborates with scholars based in China, Macao and United Kingdom. Xitong Gao's co-authors include Chengzhong Xu, Yiren Zhao, George A. Constantinides, Robert Mullins, Kejiang Ye, Juanjuan Zhao, Xingjian Li, Dejing Dou, Juanjuan Zhao and Jianqi Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Mobile Computing.

In The Last Decade

Xitong Gao

19 papers receiving 203 citations

Peers

Xitong Gao

CVPR

EEE

Ulrich Finkler United States

Hang Qi China

Zdeněk Martinásek Czechia

Jinkun Geng China

Sezer Gören Türkiye

Krishna Teja Chitty-Venkata United States

Luo Mai United Kingdom

Haider K. Hoomod Iraq

Loc N. Huynh Singapore

Zhiping Xiao China

Ulrich Finkler United States

Xitong Gao

107 ×1.0

45 ×0.5

CVPR

40 ×1.1

EEE

36 ×1.3

5 ×0.2

Citations per year, relative to Xitong Gao Xitong Gao (= 1×) peers Ulrich Finkler

Countries citing papers authored by Xitong Gao

Since Specialization

Citations

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

Fields of papers citing papers by Xitong Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xitong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xitong Gao. A scholar is included among the top collaborators of Xitong Gao 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 Xitong Gao. Xitong Gao 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

Gao, Xitong, et al.. (2025). Progressive Distribution Matching for Federated Semi-Supervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 5191–5199.

Gao, Xitong, et al.. (2024). A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing. IEEE Transactions on Mobile Computing. 24(4). 2580–2593. 2 indexed citations

Gao, Xitong, et al.. (2024). Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3342–3350. 1 indexed citations

Gao, Xitong, et al.. (2023). Adaptive Channel Sparsity for Federated Learning under System Heterogeneity. 20432–20441. 6 indexed citations

Qin, Tianrui, Xitong Gao, Juanjuan Zhao, & Kejiang Ye. (2023). Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models. 586–594. 1 indexed citations

Gao, Xitong, et al.. (2023). LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 354–369. 1 indexed citations

Gao, Xitong, et al.. (2023). AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. 4539–4549. 23 indexed citations

Zhao, Juanjuan, et al.. (2022). Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Transactions on Big Data. 9(3). 991–1003. 13 indexed citations

Gao, Xitong, et al.. (2021). LAFEAT: Piercing Through Adversarial Defenses with Latent Features. 5731–5741. 29 indexed citations

10.

Zhang, Yuhang, Jiexia Ye, Xitong Gao, et al.. (2021). AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. 5130–5136. 3 indexed citations

11.

Wang, Lujia, et al.. (2021). Cloud-based Robot Path Planning in Dynamic Environments. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1355–1360. 2 indexed citations

12.

Gao, Xitong, et al.. (2020). Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction. IEEE Access. 8. 76632–76641. 22 indexed citations

13.

Gao, Xitong, et al.. (2020). Pay Attention to Features, Transfer Learn faster CNNs. International Conference on Learning Representations. 30 indexed citations

14.

Gao, Xitong, Yiren Zhao, Łukasz Dudziak, Robert Mullins, & Chengzhong Xu. (2019). Dynamic channel pruning: Feature boosting and suppression. Apollo (University of Cambridge). 19 indexed citations

15.

Zhao, Yiren, Xitong Gao, Junyi Liu, et al.. (2019). Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. 45–53. 27 indexed citations

16.

Zhao, Yiren, et al.. (2019). Focused Quantization for Sparse CNNs. arXiv (Cornell University). 32. 5584–5593. 5 indexed citations

17.

Zhao, Yiren, Xitong Gao, Robert Mullins, & Chengzhong Xu. (2018). Mayo. 25–30. 4 indexed citations

18.

Gao, Xitong, John Wickerson, & George A. Constantinides. (2016). Automatically Optimizing the Latency, Area, and Accuracy of C Programs for High-Level Synthesis. Spiral (Imperial College London). 234–243. 7 indexed citations

19.

Gao, Xitong & George A. Constantinides. (2015). Numerical Program Optimization for High-Level Synthesis. 210–213. 4 indexed citations

20.

Gao, Xitong, Samuel Bayliss, & George A. Constantinides. (2013). SOAP: Structural optimization of arithmetic expressions for high-level synthesis. Zenodo (CERN European Organization for Nuclear Research). 112–119. 9 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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