鐘曉時，博士，北京理工大學計算機學院預聘副教授，特別研究員，博士生導師，國家級青年人才。本科畢業於北京航空航天大學，計算機科學與技術專業；博士畢業於新加坡南洋理工大學，計算機科學專業計算語言學和生物信息學方向，導師為Erik Cambria（IEEE Fellow）和Jagath Rajapakse（IEEE Fellow）。攻讀博士學位之前曾在香港科技大學和香港城市大學接受運籌學和仿真最佳化領域頂尖學者Jeff Hong（講座教授）兩年多的學術訓練，學術思維和研究品味受Hong教授影響頗深。現在主要研究方向為數據分析、網路科學和自然語言處理。已經在計算機頂級會議ACL和WWW以及一些重要期刊發表多篇論文，並出版Springer英文專著一部。
基本介紹
科研方向,學術成果,
科研方向
數據科學、網路科學、社交網路、自然語言處理、大模型套用
學術成果
[1] Xiaoshi Zhong, Chenyu Jin, Mengyu An, and Erik Cambria. XTime: A General Rule-based Method for Time Expression Recognition and Normalization. In Knowledge-Based Systems, 297: 111921, 2024. (SCI, IF: 8.8)
[2] Xiaoshi Zhong* and Huizhi Liang*. On the Scale-Free Property of Citation Networks: An Empirical Study. In Companion Proceedings of the ACM Web Conference 2024 (WWW Companion), pages 541-544, Singapore, 2024. Research short paper.
[3] Mengyu An*, Chenyu Jin*, Xiaoshi Zhong#, and Erik Cambria. Time Expression Normalization with Meta Time Information. In Proceedings of the 2023 International Conference on Computational Science and Computational Intelligence (CSCI), pages 695-702, Las Vegas, USA, 2023.
[4] Xiaoshi Zhong, Xiang Yu, Erik Cambria, and Jagath C. Rajapakse. Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities. To appear in Knowledge-Based Systems, 2023. (SCI, IF: 8.8)
[5] Xiaoshi Zhong and Erik Cambria. Time Expression Recognition and Normalization: A Survey. In Artificial Intelligence Review, 56(9):9115-9140, 2023. (SCI, IF: 12.0)
[6] Xiaoshi Zhong, Muyin Wang, and Hongkun Zhang. Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense. In Proceedings of the ACM Web Conference 2022 (WWW), pages 2748-2758, Virtual Event, Lyon, France, 2022. Research-track paper with oral presentation, acceptance rate: 17.7% (323/1822).
[7] Xiaoshi Zhong, Erik Cambria, and Amir Hussain. Does Semantics Aid Syntax? An Empirical Study on Named Entity Recognition and Classification. In Neural Computing and Applications, 34(11):8373-8384, 2022. (SCI, IF: 5.606)
[8] Xiaoshi Zhong and Erik Cambria. Time Expression and Named Entity Recognition. In Book Series Socio-Affective Computing, Volume: 10, Springer Nature, 2021. ISBN: 978-3-030-78961-9.
[9] Xiaoshi Zhong, Erik Cambria, and Amir Hussain. Extracting Time Expressions and Named Entities with Constituent-based Tagging Schemes. In Cognitive Computation, 12(4): 844-862, 2020. (SCI, IF: 5.418)
[10] Xiaoshi Zhong and Jagath C. Rajapakse. Graph Embeddings on Gene Ontology Annotations for Protein-Protein Interaction Prediction. In BMC Bioinformatics, 21(16): 1-17, 2020. (SCI, IF: 3.242)
[11] Xiaoshi Zhong and Jagath C. Rajapakse. Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. In Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 1828-1835, San Diego, CA, USA, 2019.
[12] Xiaoshi Zhong, Rama Kaalia, and Jagath C. Rajapakse. GO2Vec: Transforming GO Terms and Proteins to Vector Representations via Graph Embeddings. In BMC Genomics, 20(9): 1-10, 2019. (SCI, IF: 3.730)
[13] Xiaoshi Zhongand Erik Cambria. Time Expression Recognition Using a Constituent-based Tagging Scheme. In Proceedings of the 2018 World Wide Web Conference (WWW), pages 983-992, Lyon, France, 2018. Research-track paper with oral presentation, acceptance rate: 14.7% (170/1155).
[14] Xiaoshi Zhong, A.Sun, and Erik Cambria. Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), pages 420-429, Vancouver, Canada, 2017. Full paper with oral presentation, full oral rate: 15.6% (117/751).
[15] Xiaoshi Zhong. A Wikipedia based Hybrid Ranking Method for Taxonomic Relation Extraction. In Proceedings of the 9th Asia Information Retrieval Societies Conference (AIRS), pages 332-343, Singapore, 2013. Full paper with oral presentation, acceptance rate: 24.8% (27/109).
[16] Xiaoshi Zhong, Yunqing Xia, Zhongda Xie, Sen Na, Qin'an Hu, and Yaohai Huang. Concept-based Medical Document Retrieval: THCIB at CLEF eHealth 2013 Task 3. In Working Notes for CLEF 2013 Conference (CLEF), 2013.
[17] Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qin'an Hu, and Yaohai Huang. Normalization of Abbreviations/Acronyms: THCIB at CLEF eHealth 2013 Task 2. In Working Notes for CLEF 2013 Conference (CLEF), 2013.
[18] Yunqing Xia, Xiaoshi Zhong, Peng Liu, Cheng Tan, Sen Na, Qin'an Hu, and Yaohai Huang. Combining MetaMap and cTAKES in Disorder Recognition: THCIB at CLEF eHealth 2013 Task 1. In Working Notes for CLEF 2013 Conference (CLEF), 2013.
[19] Yunqing Xia, Xiaoshi Zhong, Guoyu Tang, Junjun Wang, Qiang Zhou, Thomas Fang Zheng, Qin'an Hu, Sen Na, and Yaohai Huang. Ranking Search Intents Underlying a Query. In Proceedings of the 18th International Conference on Applications of Natural Language to Information Systems (NLDB), pages 266-271, Salford, UK, 2013.
