Kaidi Cao

2.1k total citations
18 papers, 519 citations indexed

About

Kaidi Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kaidi Cao has authored 18 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Kaidi Cao's work include Multimodal Machine Learning Applications (4 papers), Machine Learning and Data Classification (3 papers) and Advanced Graph Neural Networks (2 papers). Kaidi Cao is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Machine Learning and Data Classification (3 papers) and Advanced Graph Neural Networks (2 papers). Kaidi Cao collaborates with scholars based in United States, China and Hong Kong. Kaidi Cao's co-authors include Juan Carlos Niebles, Jingwei Ji, Chien-Yi Chang, Zhangjie Cao, Chen Change Loy, Jing Liao, Lu Yuan, Jure Leskovec, Wayne Wu and Chen Qian and has published in prestigious journals such as Nature Methods, The British Journal of Psychiatry and ACM Transactions on Graphics.

In The Last Decade

Kaidi Cao

16 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaidi Cao United States 10 364 184 44 43 42 18 519
Kai Han China 9 174 0.5× 121 0.7× 17 0.4× 44 1.0× 40 1.0× 20 350
E-Liang Chen Taiwan 6 282 0.8× 179 1.0× 10 0.2× 38 0.9× 12 0.3× 10 426
Jan Eric Lenssen Germany 9 204 0.6× 116 0.6× 33 0.8× 29 0.7× 119 2.8× 23 403
Shagan Sah United States 10 150 0.4× 111 0.6× 16 0.4× 27 0.6× 31 0.7× 23 336
Sibei Yang China 15 511 1.4× 354 1.9× 15 0.3× 33 0.8× 21 0.5× 26 714
Marc‐André Carbonneau Canada 9 307 0.8× 374 2.0× 43 1.0× 27 0.6× 7 0.2× 18 715
Delphine Nain United States 10 231 0.6× 45 0.2× 11 0.3× 26 0.6× 61 1.5× 16 359
Tianyi Wei China 8 571 1.6× 241 1.3× 8 0.2× 12 0.3× 8 0.2× 19 748

Countries citing papers authored by Kaidi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kaidi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaidi Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Kaidi Cao. A scholar is included among the top collaborators of Kaidi Cao 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 Kaidi Cao. Kaidi Cao 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.
Cao, Kaidi, Kexin Huang, Vassilis N. Ioannidis, et al.. (2024). AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. 25981–26010.
2.
Cao, Kaidi, Jure Leskovec, Bruno Ribeiro, Shirley Wu, & James Zou. (2024). GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. 9358–9387.
3.
Brbić, Maria, Kaidi Cao, John W. Hickey, et al.. (2022). Annotation of spatially resolved single-cell data with STELLAR. Nature Methods. 19(11). 1411–1418. 44 indexed citations
4.
Cui, Yunxian, et al.. (2022). Preparation and Application of Nanocomposite Thin-Film Temperature Sensor during the Milling Process. Materials. 15(20). 7106–7106. 7 indexed citations
5.
Supekar, Kaustubh, Carlo de los Angeles, Srikanth Ryali, et al.. (2022). Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism. The British Journal of Psychiatry. 220(4). 202–209. 37 indexed citations
6.
Wu, Tailin, Yinan Zhang, Rex Ying, et al.. (2022). Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4184–4194. 11 indexed citations
7.
Hu, Weihua, et al.. (2022). Learning Backward Compatible Embeddings. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3018–3028. 5 indexed citations
8.
Cao, Kaidi, Yining Chen, Junwei Lu, et al.. (2021). Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. International Conference on Learning Representations. 2 indexed citations
9.
Mirzasoleiman, Baharan, Kaidi Cao, & Jure Leskovec. (2020). Coresets for Robust Training of Deep Neural Networks against Noisy Labels.. arXiv (Cornell University). 33. 11465–11477. 25 indexed citations
10.
Yang, Xuan, Mingyu Gao, Qiaoyi Liu, et al.. (2020). Interstellar. arXiv (Cornell University). 28 indexed citations
11.
Zhang, Xin, Gong Cheng, Kaidi Cao, et al.. (2020). A predictive model for respiratory distress in patients with COVID-19: a retrospective study. Annals of Translational Medicine. 8(23). 1585–1585. 4 indexed citations
12.
Cao, Kaidi, Maria Brbić, & Jure Leskovec. (2020). Concept Learners for Few-Shot Learning. arXiv (Cornell University). 1 indexed citations
13.
Cao, Kaidi, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, & Juan Carlos Niebles. (2020). Few-Shot Video Classification via Temporal Alignment. 10615–10624. 153 indexed citations
14.
Ji, Jingwei, Kaidi Cao, & Juan Carlos Niebles. (2019). Learning Temporal Action Proposals With Fewer Labels. 7072–7081. 27 indexed citations
15.
Liu, Ziwei, et al.. (2019). Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. 5339–5347. 40 indexed citations
16.
Wu, Wayne, Kaidi Cao, Cheng Li, Chen Qian, & Chen Change Loy. (2019). TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. 67 indexed citations
17.
Cao, Kaidi, Jing Liao, & Lu Yuan. (2018). CariGANs. ACM Transactions on Graphics. 37(6). 1–14. 60 indexed citations
18.
He, Yue, Kaidi Cao, Cheng Li, & Chen Change Loy. (2018). Merge or Not? Learning to Group Faces via Imitation Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 8 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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Breakdown of academic impact, for papers by Kai Han Breakdown of academic impact, for papers by E-Liang Chen Breakdown of academic impact, for papers by Jan Eric Lenssen Breakdown of academic impact, for papers by Shagan Sah Breakdown of academic impact, for papers by Sibei Yang Breakdown of academic impact, for papers by Marc‐André Carbonneau Breakdown of academic impact, for papers by Delphine Nain Breakdown of academic impact, for papers by Tianyi Wei
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