Chaojun Xiao

1.7k total citations · 2 hit papers
22 papers, 551 citations indexed

About

Chaojun Xiao is a scholar working on Artificial Intelligence, Information Systems and Political Science and International Relations. According to data from OpenAlex, Chaojun Xiao has authored 22 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Political Science and International Relations. Recurrent topics in Chaojun Xiao's work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Recommender Systems and Techniques (5 papers). Chaojun Xiao is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Recommender Systems and Techniques (5 papers). Chaojun Xiao collaborates with scholars based in China, United Kingdom and Singapore. Chaojun Xiao's co-authors include Maosong Sun, Zhiyuan Liu, Cunchao Tu, Haoxi Zhong, Zhipeng Guo, Xu Han, Tianyang Zhang, Yankai Lin, Ruobing Xie and Yuan Yao and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Information Systems and Nature Machine Intelligence.

In The Last Decade

Chaojun Xiao

21 papers receiving 538 citations

Hit Papers

Legal Judgment Prediction via Topological Learning 2018 2026 2020 2023 2018 2021 50 100 150
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. Legal Judgment Prediction via Topological Learning
    2018 186 citations Haoxi Zhong, Zhipeng Guo et al. profile →
  2. Lawformer: A pre-trained language model for Chinese legal long documents
    2021 131 citations Chaojun Xiao, Zhiyuan Liu et al. profile →

Peers

Chaojun Xiao
Shuzi Niu China
Yunqiu Shao China
Stefanie Brüninghaus United States
Jack G. Conrad United States
Prodromos Malakasiotis Greece
E. L. Rissland United States
Peter Hammond United Kingdom
Zhunchen Luo China
Erich Schweighofer Austria
Frank Kriwaczek United Kingdom
Shuzi Niu China
Chaojun Xiao
Citations per year, relative to Chaojun Xiao Chaojun Xiao (= 1×) peers Shuzi Niu

Countries citing papers authored by Chaojun Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Chaojun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaojun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Chaojun Xiao. A scholar is included among the top collaborators of Chaojun Xiao 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 Chaojun Xiao. Chaojun Xiao 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.
Xiao, Chaojun, Jie Zhou, Zhi Zheng, et al.. (2025). Densing law of LLMs. Nature Machine Intelligence. 7(11). 1823–1833. 1 indexed citations
2.
Xie, Ruobing, et al.. (2024). Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. ACM Transactions on Information Systems. 43(2). 1–28. 1 indexed citations
3.
4.
5.
Zhao, Weilin, Yuxiang Huang, Han Xu, et al.. (2024). Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding. 13378–13393. 1 indexed citations
6.
Xiao, Chaojun, Zhengyan Zhang, Xu Han, et al.. (2023). Plug-and-Play Document Modules for Pre-trained Models. 15713–15729. 4 indexed citations
7.
Zhang, Zhengyan, Yankai Lin, Huadong Wang, et al.. (2023). Plug-and-Play Knowledge Injection for Pre-trained Language Models. 10641–10658. 7 indexed citations
8.
Zhang, Zhengyan, Yankai Lin, Chaojun Xiao, et al.. (2023). Emergent Modularity in Pre-trained Transformers. 4066–4083. 2 indexed citations
9.
Xiao, Chaojun, Wenbin Zhang, Xu Han, et al.. (2023). Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. 9947–9959. 1 indexed citations
10.
Feng, Yong, Chaojun Xiao, Lei Hou, et al.. (2022). LEVEN: A Large-Scale Chinese Legal Event Detection Dataset. Findings of the Association for Computational Linguistics: ACL 2022. 183–201. 1 indexed citations
11.
Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2021). Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers in Big Data. 4. 602071–602071. 23 indexed citations
12.
Xiao, Chaojun, et al.. (2021). Lawformer: A pre-trained language model for Chinese legal long documents. 2. 79–84. 131 indexed citations breakdown →
13.
Zhang, Zhengyan, Yuxian Gu, Xu Han, et al.. (2021). CPM-2: Large-scale cost-effective pre-trained language models. SHILAP Revista de lepidopterología. 2. 216–224. 43 indexed citations
14.
Yao, Yuan, Haoxi Zhong, Zhengyan Zhang, et al.. (2021). Adversarial Language Games for Advanced Natural Language Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence. 35(16). 14248–14256. 2 indexed citations
15.
Han, Xu, Tianyu Gao, Yankai Lin, et al.. (2020). More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. 745–758. 33 indexed citations
16.
Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2020). Denoising Relation Extraction from Document-level Distant Supervision. 3683–3688. 21 indexed citations
17.
Xiao, Chaojun, Yuan Yao, Ruobing Xie, et al.. (2020). Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. arXiv (Cornell University). 1 indexed citations
18.
Zhong, Haoxi, Chaojun Xiao, Cunchao Tu, et al.. (2020). JEC-QA: A Legal-Domain Question Answering Dataset. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9701–9708. 59 indexed citations
19.
Han, Xu, Tianyu Gao, Yankai Lin, et al.. (2020). More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. arXiv (Cornell University). 27 indexed citations
20.
Zhong, Haoxi, Zhipeng Guo, Cunchao Tu, et al.. (2018). Legal Judgment Prediction via Topological Learning. 3540–3549. 186 indexed citations breakdown →

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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