Shiwei Tong

According to our database, Shiwei Tong authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas.

Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

An Efficient and Robust Semantic Hashing Framework for Similar Text Search.

Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang

ACM Trans. Inf. Syst., October, 2023

HmcNet: A General Approach for Hierarchical Multi-Label Classification.

Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang

IEEE Trans. Knowl. Data Eng., September, 2023

Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.

Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong

IEEE Trans. Knowl. Data Eng., June, 2023

Exploiting Non-Interactive Exercises in Cognitive Diagnosis.

Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning.

Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Search-Efficient Computerized Adaptive Testing.

Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training.

Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing.

Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incremental Cognitive Diagnosis for Intelligent Education.

Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation.

Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.

Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Item Response Ranking for Cognitive Diagnosis.

Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Guided Attention Network for Concept Extraction.

Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

STAN: Adversarial Network for Cross-domain Question Difficulty Prediction.

Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System.

Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification.

Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems.

Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Structure-based Knowledge Tracing: An Influence Propagation View.

Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Chinese Embedding via Stroke and Glyph Information: A Dual-channel View.

Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen

CoRR, 2019

Exploiting Cognitive Structure for Adaptive Learning.

Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Radical-Aware Attention-Based Model for Chinese Text Classification.

Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019