Muli Yang

701 total citations
18 papers, 430 citations indexed

About

Muli Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Muli Yang has authored 18 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Muli Yang's work include Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Muli Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Multimodal Machine Learning Applications (7 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Muli Yang collaborates with scholars based in China, Singapore and Australia. Muli Yang's co-authors include Cheng Deng, Feiping Nie, Kun Wei, Hao Wang, Xianglong Liu, Dacheng Tao, Xu Yang, Aming Wu, Junchi Yan and Yanhua Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Multimedia.

In The Last Decade

Muli Yang

17 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muli Yang China 9 276 270 69 35 32 18 430
Shipeng Yan China 7 462 1.7× 357 1.3× 79 1.1× 33 0.9× 9 0.3× 8 623
Christian Simon Australia 9 390 1.4× 296 1.1× 80 1.2× 54 1.5× 18 0.6× 18 489
Xinyuan Chang China 6 332 1.2× 247 0.9× 53 0.8× 19 0.5× 16 0.5× 8 430
Songlin Dong China 9 392 1.4× 232 0.9× 59 0.9× 23 0.7× 13 0.4× 19 482
Fei Pan China 7 247 0.9× 286 1.1× 60 0.9× 49 1.4× 9 0.3× 27 397
Dinh Viet Sang Vietnam 10 120 0.4× 226 0.8× 93 1.3× 57 1.6× 9 0.3× 46 394
Yuanyi Zhong United States 8 185 0.7× 268 1.0× 41 0.6× 33 0.9× 8 0.3× 10 392
Kongming Liang China 10 169 0.6× 203 0.8× 92 1.3× 26 0.7× 11 0.3× 36 378

Countries citing papers authored by Muli Yang

Since Specialization
Citations

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

Fields of papers citing papers by Muli Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muli Yang

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

All Works

18 of 18 papers shown
1.
Yang, Muli, et al.. (2025). Detecting Open World Objects via Partial Attribute Assignment. 20318–20328. 1 indexed citations
3.
Wang, Yuxuan, Muli Yang, Aming Wu, & Cheng Deng. (2025). Progressive Invariant Causal Feature Learning for Single Domain Generalization. IEEE Transactions on Image Processing. 34. 2694–2706. 1 indexed citations
4.
Yang, Muli, et al.. (2024). LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures. 5004–5013. 3 indexed citations
5.
Yang, Muli, et al.. (2024). Rethinking Noise Sampling in Class-Imbalanced Diffusion Models. IEEE Transactions on Image Processing. 33. 6298–6308. 2 indexed citations
6.
Yang, Muli, et al.. (2024). Memory-Enhanced Confidence Calibration for Class-Incremental Unsupervised Domain Adaptation. IEEE Transactions on Multimedia. 27. 610–621. 1 indexed citations
7.
Wang, Henan, Muli Yang, Kun Wei, & Cheng Deng. (2023). Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. 1470–1478. 4 indexed citations
8.
Yang, Muli, Liancheng Wang, Cheng Deng, & Hanwang Zhang. (2023). Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery. 3459–3468. 10 indexed citations
9.
Yang, Muli, et al.. (2022). Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14248–14257. 19 indexed citations
10.
Yang, Muli, et al.. (2022). A Decomposable Causal View of Compositional Zero-Shot Learning. IEEE Transactions on Multimedia. 25. 5892–5902. 27 indexed citations
11.
Yang, Xu, et al.. (2022). Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9316–9325. 60 indexed citations
12.
Huang, Bo, et al.. (2022). Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2029–2033. 8 indexed citations
13.
Yang, Yanhua, et al.. (2021). Adaptive Bias-Aware Feature Generation for Generalized Zero-Shot Learning. IEEE Transactions on Multimedia. 25. 280–290. 19 indexed citations
14.
Yang, Muli, et al.. (2020). Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies. Open MIND. 33. 17792–17803. 1 indexed citations
15.
Yang, Muli, Cheng Deng, Junchi Yan, Xianglong Liu, & Dacheng Tao. (2020). Learning Unseen Concepts via Hierarchical Decomposition and Composition. 10245–10253. 39 indexed citations
16.
Deng, Cheng, et al.. (2020). Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval. IEEE Transactions on Image Processing. 29. 8892–8902. 57 indexed citations
17.
Wei, Kun, Muli Yang, Hao Wang, Cheng Deng, & Xianglong Liu. (2019). Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. 73 indexed citations
18.
Yang, Muli, Cheng Deng, & Feiping Nie. (2018). Adaptive-weighting discriminative regression for multi-view classification. Pattern Recognition. 88. 236–245. 105 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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