Xuemeng Song

3.9k total citations
115 papers, 2.6k citations indexed

About

Xuemeng Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xuemeng Song has authored 115 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 19 papers in Information Systems. Recurrent topics in Xuemeng Song's work include Multimodal Machine Learning Applications (27 papers), Generative Adversarial Networks and Image Synthesis (24 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Xuemeng Song is often cited by papers focused on Multimodal Machine Learning Applications (27 papers), Generative Adversarial Networks and Image Synthesis (24 papers) and Advanced Image and Video Retrieval Techniques (22 papers). Xuemeng Song collaborates with scholars based in China, Singapore and Australia. Xuemeng Song's co-authors include Liqiang Nie, Tat‐Seng Chua, Fuli Feng, Zhiyong Cheng, Xianjing Han, Luming Zhang, Haokun Wen, Xiaojun Chang, Xin-Shun Xu and Jianlong Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Materials Science and Engineering A.

In The Last Decade

Xuemeng Song

102 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xuemeng Song China 31 1.5k 1.1k 569 241 138 115 2.6k
Zhiyong Cheng China 35 2.1k 1.4× 1.6k 1.5× 1.2k 2.2× 147 0.6× 110 0.8× 118 3.6k
Jialie Shen Singapore 34 2.7k 1.8× 1.2k 1.1× 556 1.0× 172 0.7× 128 0.9× 146 3.9k
Zhu Wang China 25 463 0.3× 525 0.5× 310 0.5× 33 0.1× 172 1.2× 122 2.7k
Dawei Song China 32 464 0.3× 2.5k 2.3× 791 1.4× 36 0.1× 102 0.7× 212 4.3k
Hong-Han Shuai Taiwan 21 745 0.5× 494 0.5× 138 0.2× 68 0.3× 105 0.8× 119 1.5k
Andrew L. Maas United States 10 510 0.3× 2.4k 2.2× 229 0.4× 43 0.2× 61 0.4× 12 3.2k
Mohit Bansal United States 38 3.3k 2.2× 5.6k 5.1× 442 0.8× 43 0.2× 54 0.4× 221 7.1k
Xiao Cai China 22 1.8k 1.2× 1.2k 1.1× 80 0.1× 514 2.1× 103 0.7× 32 3.0k
Xiaohan Wang China 25 974 0.6× 812 0.7× 47 0.1× 163 0.7× 178 1.3× 130 1.9k
Juan Ye United Kingdom 22 872 0.6× 508 0.5× 193 0.3× 27 0.1× 50 0.4× 106 1.7k

Countries citing papers authored by Xuemeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Xuemeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuemeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemeng Song. A scholar is included among the top collaborators of Xuemeng Song 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 Xuemeng Song. Xuemeng Song 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.
Song, Xuemeng, et al.. (2025). Unsupervised Few-Shot Food Recognition With Intra-Class Variation and Inter-Class Similarity Modeling. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12138–12151.
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Huang, Qiushi, et al.. (2025). MEDIAN: Adaptive Intermediate-grained Aggregation Network for Composed Image Retrieval. 1–5. 3 indexed citations
5.
Song, Xuemeng, et al.. (2025). Hierarchical fine-grained multi-behavior recommendation with behavior-aware contrastive learning. Neural Networks. 192. 107912–107912.
6.
Song, Xuemeng, et al.. (2025). A Comprehensive Survey on Composed Image Retrieval. ACM Transactions on Information Systems. 44(1). 1–54.
7.
Wen, Haokun, et al.. (2024). Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. ArXiv.org. 240–250. 9 indexed citations
8.
Hu, Linmei, et al.. (2024). Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. Information Sciences. 664. 120310–120310. 15 indexed citations
9.
Liu, Meng, et al.. (2024). Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching. ACM Transactions on Information Systems. 42(6). 1–26. 5 indexed citations
10.
Wei, Yinwei, et al.. (2024). Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation. IEEE Transactions on Multimedia. 26. 9036–9046. 11 indexed citations
11.
Qiao, Yang, et al.. (2023). Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9507–9515. 34 indexed citations
12.
Shi, Dan, Lei Zhu, Xiao Dong, et al.. (2023). Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection. ACM Transactions on Knowledge Discovery from Data. 17(8). 1–25. 5 indexed citations
13.
Song, Xuemeng, et al.. (2023). Prompt-based and weak-modality enhanced multimodal recommendation. Information Fusion. 101. 101989–101989. 13 indexed citations
14.
Song, Xuemeng, et al.. (2022). Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Transactions on Multimedia Computing Communications and Applications. 19(2). 1–21. 22 indexed citations
15.
Guan, Weili, Haokun Wen, Xuemeng Song, et al.. (2022). Partially Supervised Compatibility Modeling. IEEE Transactions on Image Processing. 31. 4733–4745. 23 indexed citations
16.
Wang, Qifan, et al.. (2021). DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Transactions on Multimedia. 25. 1074–1084. 109 indexed citations
17.
Song, Xuemeng, et al.. (2019). Virtually Trying on New Clothing with Arbitrary Poses. 266–274. 47 indexed citations
18.
Guan, Weili, et al.. (2019). Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Transactions on Cybernetics. 51(9). 4501–4514. 17 indexed citations
19.
Song, Xuemeng, Liqiang Nie, Luming Zhang, Maofu Liu, & Tat‐Seng Chua. (2015). Interest inference via structure-constrained multi-source multi-task learning. International Conference on Artificial Intelligence. 2371–2377. 54 indexed citations
20.
Zhang, Wenjing, et al.. (2013). Tensile behavior at 700°C in Ti–Al–Sn–Zr–Mo–Nb–W–Si alloy with a bi-modal microstructure. Materials Science and Engineering A. 595. 159–164. 54 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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