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2024年10月 — 今：中國科學(xué)院計算技術(shù)研究所，副研究員

2019年7月 — 2024年10月：中國科學(xué)院計算技術(shù)研究所，助理研究員

2014年9月 — 2019年7月：中國科學(xué)院計算技術(shù)研究所，博士生

2010年9月 — 2014年7月：北京化工大學(xué)，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).

會議文章：

[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).

專利、軟著：

[1] 靳小龍, 郭嘉豐, 程學(xué)旗, 延浩然, 官賽萍, 范意興, 席鵬弼. 融合依存信息和預(yù)訓(xùn)練語言模型的事件抽取方法及系統(tǒng). 專利號: ZL202010398752.3, 授權(quán)日期: 2023.05.02.

[2] 靳小龍, 郭嘉豐, 程學(xué)旗, 黃林萌, 官賽萍. 事件論元抽取方法、裝置. 專利申請?zhí)? CN202310942975.5, 申請日期: 2023.07.28.

[3] 靳小龍, 郭嘉豐, 程學(xué)旗, 張興, 官賽萍. 角色感知的篇章主題事件論元抽取方法、裝置. 專利申請?zhí)? CN202310896725.2, 申請日期: 2023.07.20.

[4] 郭嘉豐, 靳小龍, 程學(xué)旗, 官賽萍, 張付俊, 席鵬弼. 基于標簽序列一致性建模的事件論元檢測方法及系統(tǒng). 專利申請?zhí)? CN202310388963.2, 申請日期: 2023.04.12.

[5] 靳小龍, 郭嘉豐, 程學(xué)旗, 官賽萍, 張付俊, 席鵬弼. 基于角色一致性的事件論元角色分類方法及系統(tǒng). 專利申請?zhí)? CN202310385316.6, 申請日期: 2023.04.12.

[6] 程學(xué)旗, 劉一伊, 王業(yè)全, 郭嘉豐, 張瑾, 范意興, 官賽萍. 一種開放域文本的實體關(guān)系抽取方法及系統(tǒng). 專利申請?zhí)? CN202111268377.1, 申請日期: 2021.10.29.

[7] 靳小龍, 黃林萌, 官賽萍. 句子級事件抽取系統(tǒng). 軟件開發(fā)完成日期: 2023.05.29.

[8] 靳小龍, 張興, 官賽萍. 主題事件抽取系統(tǒng). 軟件開發(fā)完成日期: 2023.05.29.

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