Yanghao Li

7.6k total citations · 5 hit papers
36 papers, 3.2k citations indexed

About

Yanghao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yanghao Li has authored 36 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Yanghao Li's work include Human Pose and Action Recognition (10 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (8 papers). Yanghao Li is often cited by papers focused on Human Pose and Action Recognition (10 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (8 papers). Yanghao Li collaborates with scholars based in China, United States and Israel. Yanghao Li's co-authors include Naiyan Wang, Jiaying Liu, Yuntao Chen, Zhaoxiang Zhang, Xiaodi Hou, Christoph Feichtenhofer, Haoqi Fan, Cuiling Lan, Wenjun Zeng and Junliang Xing and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Journal of Machine Learning Research.

In The Last Decade

Yanghao Li

32 papers receiving 3.1k citations

Hit Papers

Scale-Aware Trident Networks for Object Detection 2016 2026 2019 2022 2019 2016 2022 2018 2023 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Scale-Aware Trident Networks for Object Detection
    2019 725 citations Yanghao Li, Yuntao Chen et al. profile →
  2. Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks
    2016 596 citations Wentao Zhu, Cuiling Lan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  3. MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
    2022 424 citations Yanghao Li, Chao-Yuan Wu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  4. Adaptive Batch Normalization for practical domain adaptation
    2018 361 citations Yanghao Li, Naiyan Wang et al. profile →
  5. Scaling Language-Image Pre-Training via Masking
    2023 112 citations Yanghao Li, Haoqi Fan et al. profile →

Peers

Yanghao Li
Feng Zheng China
Xiantong Zhen China
Ning Jia China
Zhang Zhang China
Liang Zhang China
Hironobu Fujiyoshi Japan
Manohar Paluri United States
Dima Damen United Kingdom
R. Venkatesh Babu India
Feng Zheng China
Yanghao Li
Citations per year, relative to Yanghao Li Yanghao Li (= 1×) peers Feng Zheng

Countries citing papers authored by Yanghao Li

Since Specialization
Citations

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

Fields of papers citing papers by Yanghao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanghao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yanghao Li. A scholar is included among the top collaborators of Yanghao Li 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 Yanghao Li. Yanghao Li 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.
2.
Li, Yanghao, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, & Kaiming He. (2023). Scaling Language-Image Pre-Training via Masking. 23390–23400. 112 indexed citations breakdown →
3.
Li, Yanghao, et al.. (2023). Idempotent Learned Image Compression with Right-Inverse. 12878–12896.
4.
Li, Yanghao, et al.. (2023). Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos. 22627–22637. 5 indexed citations
5.
Wu, Chao-Yuan, Yanghao Li, Karttikeya Mangalam, et al.. (2022). MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13577–13587. 94 indexed citations
6.
Fan, Haoqi, et al.. (2022). Masked Autoencoders as Spatiotemporal Learners. 35946–35958.
7.
Li, Yanghao, Chao-Yuan Wu, Haoqi Fan, et al.. (2022). MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4794–4804. 424 indexed citations breakdown →
8.
Fan, Haoqi, Tullie Murrell, Heng Wang, et al.. (2021). PyTorchVideo. 3783–3786. 28 indexed citations
9.
Fan, Haoqi, Bo Xiong, Karttikeya Mangalam, et al.. (2021). Multiscale Vision Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6804–6815. 3 indexed citations
10.
Li, Yanghao, et al.. (2021). Learning Model-Blind Temporal Denoisers without Ground Truths. 2055–2059. 1 indexed citations
11.
Song, Sijie, Jiaying Liu, Yanghao Li, & Zongming Guo. (2020). Modality Compensation Network: Cross-Modal Adaptation for Action Recognition. IEEE Transactions on Image Processing. 29. 3957–3969. 51 indexed citations
12.
Chen, Yuntao, Yanghao Li, Zehao Huang, et al.. (2019). SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. Journal of Machine Learning Research. 20(156). 1–8. 7 indexed citations
13.
Li, Yanghao, et al.. (2018). Calibration of Event-based Camera and 3D LiDAR. 289–295. 10 indexed citations
14.
Li, Yanghao, Naiyan Wang, Jiaying Liu, & Xiaodi Hou. (2017). Demystifying Neural Style Transfer. 2230–2236. 300 indexed citations
15.
Liu, Chunhui, Yanghao Li, Yueyu Hu, & Jiaying Liu. (2017). Online action detection and forecast via Multitask deep Recurrent Neural Networks. 1702–1706. 8 indexed citations
16.
Hu, Yueyu, Chunhui Liu, Yanghao Li, & Jiaying Liu. (2017). Temporal Perceptive Network for Skeleton-Based Action Recognition. 8 indexed citations
17.
Li, Yanghao, Naiyan Wang, Jianping Shi, Jiaying Liu, & Xiaodi Hou. (2016). Revisiting Batch Normalization For Practical Domain Adaptation. International Conference on Learning Representations. 23 indexed citations
18.
Song, Sijie, et al.. (2016). Joint sub-band based neighbor embedding for image super-resolution. 10. 1661–1665. 4 indexed citations
19.
Zhu, Wentao, Cuiling Lan, Junliang Xing, et al.. (2016). Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 596 indexed citations breakdown →
20.
Song, Sijie, et al.. (2015). Face hallucination based on neighbor embedding via illumination adaptation. 680–683. 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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