Yutai Hou

1.1k total citations · 1 hit paper
16 papers, 570 citations indexed

About

Yutai Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yutai Hou has authored 16 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Yutai Hou's work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Yutai Hou is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Yutai Hou collaborates with scholars based in China, United States and Canada. Yutai Hou's co-authors include Wanxiang Che, Ting Liu, Han Liu, Yijia Liu, Sanyuan Chen, Yuxuan Wang, Xiangzhan Yu, Yiming Cui, Yushan Wu and Cheng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Neurocomputing.

In The Last Decade

Yutai Hou

16 papers receiving 546 citations

Hit Papers

Data augmentation approaches in natural language processi... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutai Hou China 10 465 106 69 31 24 16 570
Shuohuan Wang China 7 527 1.1× 131 1.2× 75 1.1× 22 0.7× 26 1.1× 15 605
Xuanjing Huang China 11 542 1.2× 66 0.6× 78 1.1× 35 1.1× 31 1.3× 42 622
Damai Dai China 10 359 0.8× 125 1.2× 67 1.0× 24 0.8× 17 0.7× 18 530
Canwen Xu United States 9 691 1.5× 193 1.8× 73 1.1× 24 0.8× 40 1.7× 20 761
Victor Sanh United States 7 561 1.2× 147 1.4× 76 1.1× 23 0.7× 36 1.5× 9 661
Anastasia Shimorina France 6 396 0.9× 67 0.6× 50 0.7× 26 0.8× 16 0.7× 11 478
Teven Le Scao United States 4 722 1.6× 137 1.3× 68 1.0× 32 1.0× 37 1.5× 5 819
Gábor Bella Italy 11 279 0.6× 69 0.7× 76 1.1× 23 0.7× 21 0.9× 38 431

Countries citing papers authored by Yutai Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yutai Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutai Hou

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

All Works

16 of 16 papers shown
1.
Hou, Yutai, Yitong Li, Wanjun Zhong, et al.. (2024). Concise and Precise Context Compression for Tool-Using Language Models. 16430–16441. 1 indexed citations
2.
Tao, Shimin, Xiaofeng Zhao, Ming Zhu, et al.. (2024). CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning. 5184–5197. 4 indexed citations
3.
Hou, Yutai, et al.. (2024). Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3018–3027. 4 indexed citations
4.
Yang, Xu, et al.. (2023). Language Anisotropic Cross-Lingual Model Editing. 5554–5569. 4 indexed citations
5.
Hou, Yutai, et al.. (2022). Data augmentation approaches in natural language processing: A survey. SHILAP Revista de lepidopterología. 3. 71–90. 190 indexed citations breakdown →
6.
Hou, Yutai, Yingce Xia, Lijun Wu, et al.. (2022). Discovering drug–target interaction knowledge from biomedical literature. Bioinformatics. 38(22). 5100–5107. 11 indexed citations
7.
Hou, Yutai, et al.. (2022). FewJoint: few-shot learning for joint dialogue understanding. International Journal of Machine Learning and Cybernetics. 13(11). 3409–3423. 5 indexed citations
8.
Hou, Yutai, et al.. (2022). Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging. Findings of the Association for Computational Linguistics: ACL 2022. 637–647. 11 indexed citations
9.
Wu, Yushan, Rui Wu, Yutai Hou, Jiafeng Liu, & Xianglong Tang. (2022). Adaptive Correlation Integration for Deep Image Clustering. Neurocomputing. 501. 650–663. 2 indexed citations
10.
Hou, Yutai, et al.. (2021). Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. 3190–3200. 10 indexed citations
11.
Hou, Yutai, et al.. (2021). Few-shot Learning for Multi-label Intent Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13036–13044. 43 indexed citations
12.
Hou, Yutai, Sanyuan Chen, Wanxiang Che, Cheng Chen, & Ting Liu. (2021). C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13027–13035. 10 indexed citations
13.
Chen, Sanyuan, Yutai Hou, Yiming Cui, et al.. (2020). Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. 7870–7881. 85 indexed citations
15.
Wang, Yuxuan, Yutai Hou, Wanxiang Che, & Ting Liu. (2020). From static to dynamic word representations: a survey. International Journal of Machine Learning and Cybernetics. 11(7). 1611–1630. 58 indexed citations
16.
Wang, Jinpeng, Yutai Hou, Jing Liu, Yunbo Cao, & Chin-Yew Lin. (2017). A Statistical Framework for Product Description Generation. International Joint Conference on Natural Language Processing. 2. 187–192. 17 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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