Yishu Miao

1.6k total citations
17 papers, 442 citations indexed

About

Yishu Miao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yishu Miao has authored 17 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Yishu Miao's work include Topic Modeling (9 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Yishu Miao is often cited by papers focused on Topic Modeling (9 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (5 papers). Yishu Miao collaborates with scholars based in United Kingdom, China and United States. Yishu Miao's co-authors include Phil Blunsom, Niki Trigoni, Andrew Markham, Chris Xiaoxuan Lu, Zhenghua Xu, Thomas Lukasiewicz, Xiangwu Meng, Edward Grefenstette, Changhao Chen and Stefano Rosa and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Applied Ecology and Environmental Research and Neural Information Processing Systems.

In The Last Decade

Yishu Miao

17 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yishu Miao United Kingdom	10	235	203	115	102	54	17	442
Santosh Divvala United States	9	333 1.4×	664 3.3×	54 0.5×	27 0.3×	11 0.2×	13	769
Jian Cao China	11	166 0.7×	206 1.0×	14 0.1×	46 0.5×	13 0.2×	42	401
Zhihao Lin China	7	206 0.9×	136 0.7×	35 0.3×	33 0.3×	52 1.0×	20	495
Till Quack Switzerland	8	91 0.4×	622 3.1×	105 0.9×	29 0.3×	13 0.2×	9	688
Chi Jiang China	7	109 0.5×	83 0.4×	20 0.2×	53 0.5×	57 1.1×	19	300
Hongsheng Yu China	7	152 0.6×	126 0.6×	112 1.0×	9 0.1×	53 1.0×	14	394
Eva Hörster Germany	10	78 0.3×	321 1.6×	98 0.9×	15 0.1×	72 1.3×	16	477
Jiacheng Li China	8	245 1.0×	154 0.8×	45 0.4×	322 3.2×	17 0.3×	21	493
Dongyang Li China	12	174 0.7×	81 0.4×	32 0.3×	50 0.5×	40 0.7×	64	409

Countries citing papers authored by Yishu Miao

Since Specialization

Citations

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

Fields of papers citing papers by Yishu Miao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yishu Miao

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wang, Zixu, Yujie Zhong, Yishu Miao, Lin Ma, & Lucia Specia. (2022). Contrastive Video-Language Learning with Fine-grained Frame Sampling. 694–705. 3 indexed citations

Wang, Zixu, et al.. (2022). Guiding Visual Question Generation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 9 indexed citations

Miao, Yishu, Phil Blunsom, & Lucia Specia. (2021). A Generative Framework for Simultaneous Machine Translation. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6697–6706. 8 indexed citations

Wu, Xiaobao, Chunping Li, & Yishu Miao. (2021). Discovering Topics in Long-tailed Corpora with Causal Intervention. 175–185. 7 indexed citations

Wu, Xiaobao, Chunping Li, Yan Zhu, & Yishu Miao. (2020). Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. 1772–1782. 36 indexed citations

Xie, Linhai, Yishu Miao, Sen Wang, et al.. (2020). Learning With Stochastic Guidance for Robot Navigation. IEEE Transactions on Neural Networks and Learning Systems. 32(1). 166–176. 33 indexed citations

Xu, Zhenghua, Di Yuan, Thomas Lukasiewicz, et al.. (2020). Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. 3442–3446. 5 indexed citations

Miao, Yishu. (2019). WEATHER THREAT ASSESSMENT BASED ON DYNAMIC BAYESIAN NETWORK. Applied Ecology and Environmental Research. 17(4). 3 indexed citations

Chen, Changhao, Yishu Miao, Chris Xiaoxuan Lu, et al.. (2019). MotionTransformer: Transferring Neural Inertial Tracking between Domains. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8009–8016. 38 indexed citations

10.

Hong, Ziyang, Yvan Pétillot, David M. Lane, Yishu Miao, & Sen Wang. (2019). TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts. 2861–2870. 31 indexed citations

11.

Chen, Changhao, Stefano Rosa, Yishu Miao, et al.. (2019). Selective Sensor Fusion for Neural Visual-Inertial Odometry. 10534–10543. 104 indexed citations

12.

Yogatama, Dani, Yishu Miao, Ling Wang, et al.. (2018). Memory Architectures in Recurrent Neural Network Language Models. International Conference on Learning Representations. 21 indexed citations

13.

Miao, Yishu, Edward Grefenstette, & Phil Blunsom. (2017). Discovering Discrete Latent Topics with Neural Variational Inference. International Conference on Machine Learning. 2410–2419. 51 indexed citations

14.

Xu, Zhenghua, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, & Xiangwu Meng. (2017). Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. 3196–3202. 34 indexed citations

15.

Xu, Zhenghua, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, & Xiangwu Meng. (2016). Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. 1921–1924. 57 indexed citations

16.

Blunsom, Phil, Yishu Miao, & Ziyu Wang. (2014). Bayesian Optimisation for Machine Translation. Neural Information Processing Systems. 1 indexed citations

17.

Wu, Jian, et al.. (2013). Context-aware reasoning middle ware applied in the mobile environment. 7. 1829–1835. 1 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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