RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes-Reference-Cited by-同舟云学术

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes

Published:2024-08-24 Issue: Volume:42 Page:4047-4058
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yu Xiaoshan¹^ORCID,Qin Chuan²^ORCID,Shen Dazhong³^ORCID,Yang Shangshang¹^ORCID,Ma Haiping⁴^ORCID,Zhu Hengshu⁵^ORCID,Zhang Xingyi⁶^ORCID

Affiliation:

1. School of Artificial Intelligence, Anhui University, Hefei, Anhui, China

2. Career Science Lab, BOSS Zhipin & PBC School of Finance, Tsinghua University, Beijing, China

3. Shanghai Artificial Intelligence Laboratory, Shanghai, China

4. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University & Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui, China

5. Career Science Lab, BOSS Zhipin, Beijing, China

6. School of Computer Science and Technology, Anhui University, Hefei, Anhui, China

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Foundation

China Postdoctoral Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671711

Reference55 articles.

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