招收2025年度计算机、人工智能方向专硕2人。

丁玲，女，博士，硕士生导师。2024年毕业于同济大学，获工学博士学位，同年进入上海师范大学计算机系任教。主要研究方向包括知识图谱、自然语言处理、人工智能+教育等。

主持校级项目2项，以技术骨干参与多项国家自然科学基金和国家重点研发计划。在ACL、IEEE TKDE等期刊或会议发表相关学术论文10余篇，其中包括中科院一区、CCF B类会议期刊8篇。授权国家发明专利1项。

论文：

Ling Ding, Jianting Chen, Peng Du, Yang Xiang*. Event causality identification via graph contrast-based knowledge augmented networks[J]. Information Sciences, 2024, 656: 119905. (一区, SCI)

Ling Ding, Xiaojun Chen, Jian Wei, Yang Xiang*. MaBERT: mask-attention-based Bert for Chinese event extraction[J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(7): 1-21. (CCF C, SCI)

Ling Ding, Xiaojun Chen, Yang Xiang*. Negative-supervised capsule graph neural network for few-shot text classification[J]. Journal of Intelligent & Fuzzy Systems, 2021, 41(6): 6875-6887. (SCI)

Xiaoying Gao, Ling Ding, Jianting Chen, Yunxiao Yang, Yang Xiang*. User group-enhanced user feature distribution transfer framework for non-overlapping cross-domain recommendations[J]. Knowledge-Based Systems, 2025, 314: 113186. (一区, SCI)

Shirui Wang, Bohan Xie, Ling Ding, Jianting Chen, Yang Xiang*. Reinforced logical reasoning over KGs for interpretable recommendation system[J]. Machine Learning, 2025, 114(4): 95. (CCF B, SCI)

Jianting Chen, Ling Ding, Yunxiao Yang, Zaiyuan Di, Yang Xiang*. Domain Adversarial Active Learning for Domain Generalization Classification[J]. IEEE Transactions on Knowledge and Data Engineering, 2024. (一区, SCI)

Shirui Wang, Bohan Xie, Ling Ding, Xiaoying Gao, Jianting Chen, Yang Xiang*. SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations[C]//Proceedings of the 18th ACM Conference on Recommender Systems. 2024: 1-11. (CCF B, 会议)

Zaiyuan Di, Jianting Chen, Yunxiao Yang, Ling Ding, Yang Xiang*. LLM-Driven Knowledge Enhancement for Securities Index Prediction[J]. 2024. (OpenKG Workshop)

Jianting Chen, Ling Ding, Yunxiao Yang, Yang Xiang*. Active diversification of head-class features in bilateral-expert models for enhanced tail-class optimization in long-tailed classification[J]. Engineering Applications of Artificial Intelligence, 2023, 126: 106982. (一区, SCI)

Shengbin Jia, Shijia E, Ling Ding, Xiaojun Chen, Yang Xiang*. Hybrid neural tagging model for open relation extraction[J]. Expert Systems with Applications, 2022, 200: 116951. (一区, SCI)

Shengbin Jia, Shijia E, Ling Ding, et al. Parasitic Network: Zero-Shot Relation Extraction for Knowledge Graph Populating[C]// Database Systems for Advanced Applications: 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11–14, 2021, Proceedings, Part III 26. Springer International Publishing, 2021: 541-552. (CCF B, 会议)

Xiaojun Chen, Shengbin Jia, Ling Ding, Hong Shen, Yang Xiang*. SDT: An integrated model for open-world knowledge graph reasoning[J]. Expert Systems with Applications, 2020, 162: 113889. (一区, SCI)

Shengbin Jia, Ling Ding, Xiaojun Chen, Shijia E, Yang Xiang*. Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text. In Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, pp. 51-60. (CCF A, ACL workshop)

丁玲, 向阳*. 基于分层次多粒度语义融合的中文事件检测. 计算机科学. 2021, 48(5): 202-208. (中文核心)

科研项目：

[1]上海师范大学校级项目“面向STEM教育的多模态AI公共数据库建设及其测试评估研究” （主持）

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