Kaichun Yao

405 total citations
15 papers, 255 citations indexed

About

Kaichun Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kaichun Yao has authored 15 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Kaichun Yao's work include Topic Modeling (14 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Kaichun Yao is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Kaichun Yao collaborates with scholars based in China, Hong Kong and United Kingdom. Kaichun Yao's co-authors include Tiejian Luo, Yanjun Wu, Libo Zhang, Chuan Qin, Hengshu Zhu, Libo Zhang, Lili Tao, Dawei Du, Hui Xiong and Dazhong Shen and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Kaichun Yao

15 papers receiving 245 citations

Peers

Kaichun Yao

CVPR

HIM

ECP

Amit Kumar Jakhar India

Kilian Evang Netherlands

Sandipan Dandapat India

Cem Akkaya United States

Yiping Song China

Ryohei Sasano Japan

C. N. Subalalitha India

Shauli Ravfogel Israel

Naveen Arivazhagan United States

Leshem Choshen United States

Amit Kumar Jakhar India

Kaichun Yao

173 ×0.8

73 ×1.6

15 ×0.3

CVPR

9 ×0.8

HIM

4 ×0.4

ECP

Citations per year, relative to Kaichun Yao Kaichun Yao (= 1×) peers Amit Kumar Jakhar

Countries citing papers authored by Kaichun Yao

Since Specialization

Citations

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

Fields of papers citing papers by Kaichun Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaichun Yao

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

All Works

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15 of 15 papers shown

Qin, Chuan, et al.. (2025). COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. ACM Transactions on Management Information Systems. 16(2). 1–30. 2 indexed citations

Qin, Chuan, et al.. (2025). From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation. 1373–1384. 2 indexed citations

Yao, Kaichun, et al.. (2024). CARL: Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning. ACM Transactions on Software Engineering and Methodology. 34(1). 1–32. 1 indexed citations

Qin, Chuan, Kaichun Yao, Xi Chen, et al.. (2024). Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 6 indexed citations

Qin, Chuan, Hengshu Zhu, Dazhong Shen, et al.. (2023). Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. ACM Transactions on Information Systems. 42(1). 1–32. 18 indexed citations

Qin, Chuan, Qi Zhang, Kaichun Yao, et al.. (2023). RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3991–4002. 25 indexed citations

Yao, Kaichun, et al.. (2023). Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. arXiv (Cornell University). 1721–1730. 1 indexed citations

Yao, Kaichun, Chuan Qin, Xin Song, et al.. (2023). ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. 3154–3167. 8 indexed citations

Yao, Kaichun, et al.. (2022). Knowledge Enhanced Person-Job Fit for Talent Recruitment. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3467–3480. 13 indexed citations

10.

Qin, Chuan, Kaichun Yao, Hengshu Zhu, et al.. (2022). Towards Automatic Job Description Generation with Capability-Aware Neural Networks. IEEE Transactions on Knowledge and Data Engineering. 1–1. 23 indexed citations

11.

Yao, Kaichun, Chuan Qin, Hengshu Zhu, et al.. (2021). An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2383–2393. 9 indexed citations

12.

Yao, Kaichun, Libo Zhang, Tiejian Luo, Dawei Du, & Yanjun Wu. (2020). Non-deterministic and emotional chatting machine: learning emotional conversation generation using conditional variational autoencoders. Neural Computing and Applications. 33(11). 5581–5589. 7 indexed citations

13.

Yao, Kaichun, Libo Zhang, Dawei Du, et al.. (2018). Dual Encoding for Abstractive Text Summarization. IEEE Transactions on Cybernetics. 50(3). 985–996. 55 indexed citations

14.

Yao, Kaichun, Libo Zhang, Tiejian Luo, & Yanjun Wu. (2018). Deep reinforcement learning for extractive document summarization. Neurocomputing. 284. 52–62. 62 indexed citations

15.

Yao, Kaichun, Libo Zhang, Tiejian Luo, Lili Tao, & Yanjun Wu. (2018). Teaching Machines to Ask Questions. 4546–4552. 23 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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