2024年10月 — 今：中国科学院计算技术研究所，副研究员

2019年7月 — 2024年10月：中国科学院计算技术研究所，助理研究员

2014年9月 — 2019年7月：中国科学院计算技术研究所，博士生

2010年9月 — 2014年7月：北京化工大学，本科生

期刊文章：

[1] Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo. What is Event Knowledge Graph: A Survey. IEEE Transactions on Knowledge and Data Engineering 2023 (TKDE 2023).

[2] Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Transactions on Knowledge and Data Engineering 2023 (TKDE 2023).

[3] Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng. Self-learning and Embedding Based Entity Alignment. Knowledge and Information Systems 2019 (KAIS 2019).

会议文章：

[1] Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng. Inductive Link Prediction in N-ary Knowledge Graphs. Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025).

[2] Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng. Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024).

[3] Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng. Few-shot Link Prediction on Hyper-relational Facts. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING 2024).

[4] Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng. Nested Event Extraction upon Pivot Element Recogniton. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING 2024).

[5] Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng. An In-context Schema Understanding Method for Knowledge Base Question Answering. Proceedings of the 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024).

[6] Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng. Rich Event Modeling for Script Event Prediction. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023).

[7] Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng. Semantic Structure Enhanced Event Causality Identification. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).

[8] Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. Findings of the Association for Computational Linguistics: EMNLP 2023 (EMNLP Findings 2023).

[9] Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng. Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022).

[10] Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng. MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022).

[11] Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng. HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. Proceedings of Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings).

[12] Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo. DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-learning. 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2022).

[13] Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021).

[14] Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021).

[15] Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng. Integrating Deep Event-level and Script-level Information for Script Event Prediction. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).

[16] Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng. NeuInfer: Knowledge Inference on N-ary Facts. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020).

[17] Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng. Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020).

[18] Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng. Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM 2020).

[19] Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. Link Prediction on N-ary Relational Data. Proceedings of the 28th International Conference on World Wide Web (WWW 2019).

[20] Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. Shared Embedding Based Neural Networks for Knowledge Graph Completion. Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018).

[21] Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng. Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. Proceedings of the 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018).

[22] Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng. Self-learning and Embedding Based Entity Alignment. Proceedings of the 8th IEEE International Conference on Big Knowledge (ICBK 2017, Best Student Paper Award).

专利、软著：

[1] 靳小龙, 郭嘉丰, 程学旗, 延浩然, 官赛萍, 范意兴, 席鹏弼. 融合依存信息和预训练语言模型的事件抽取方法及系统. 专利号: ZL202010398752.3, 授权日期: 2023.05.02.

[2] 靳小龙, 郭嘉丰, 程学旗, 黄林萌, 官赛萍. 事件论元抽取方法、装置. 专利申请号: CN202310942975.5, 申请日期: 2023.07.28.

[3] 靳小龙, 郭嘉丰, 程学旗, 张兴, 官赛萍. 角色感知的篇章主题事件论元抽取方法、装置. 专利申请号: CN202310896725.2, 申请日期: 2023.07.20.

[4] 郭嘉丰, 靳小龙, 程学旗, 官赛萍, 张付俊, 席鹏弼. 基于标签序列一致性建模的事件论元检测方法及系统. 专利申请号: CN202310388963.2, 申请日期: 2023.04.12.

[5] 靳小龙, 郭嘉丰, 程学旗, 官赛萍, 张付俊, 席鹏弼. 基于角色一致性的事件论元角色分类方法及系统. 专利申请号: CN202310385316.6, 申请日期: 2023.04.12.

[6] 程学旗, 刘一伊, 王业全, 郭嘉丰, 张瑾, 范意兴, 官赛萍. 一种开放域文本的实体关系抽取方法及系统. 专利申请号: CN202111268377.1, 申请日期: 2021.10.29.

[7] 靳小龙, 黄林萌, 官赛萍. 句子级事件抽取系统. 软件开发完成日期: 2023.05.29.

[8] 靳小龙, 张兴, 官赛萍. 主题事件抽取系统. 软件开发完成日期: 2023.05.29.

[1] 国家自然科学基金青年科学基金项目：面向开放网络数据的事件抽取与预测研究，2021.01—2023.12，24万，项目负责人

[2] SMP-IDATA青年基金项目：面向价值利用的数据要素作用力研究，2024.01—2024.12，10万，项目负责人

[3] 国家重点研发计划子课题：基于溯源和评估理论的知识演化规律研究，2016.07—2020.12，98万，项目执行负责人

[4] 国家自然科学基金面上项目：面向开放网络数据的多元关系抽取、表示与推理研究，2018.01—2021.12，58万，项目执行负责人

[5] 国家重点研发计划子课题：基于内容语义深度理解的智能写作关键技术研究，2023.03—2024.11，460万，主要参与人

[6] 国家重点研发计划课题：数据知识计算与发现技术研究，2017.09—2020.09，276万，主要参与人

[7] 国家自然科学基金专项项目：高质量数据集构建与质量评估技术，2025.01—2027.12，190万，主要参与人

[1] 2024年，钱伟长中文信息处理科学技术奖一等奖（10/10）

[2] 2024年，中国科学院计算技术研究所新百星

[3] 2024年，入选Paper Digest发布的最具影响力SIGIR论文榜单

[4] 2024年，中国科学院计算技术研究所年度优秀研究人员

[5] 2021年，中国科学院计算技术研究所年度优秀党务工作者

[6] 2020年，中国科学院计算技术研究所年度优秀研究人员

[7] 2019年，北京市优秀毕业生

[8] 2017年，ICBK最佳学生论文奖