BIMSA > 谢海华
助理研究员 谢海华

团队: 人工智能和机器学习

办公室: A3-1-306

邮箱: haihua.xie@bimsa.cn

研究方向: 机器学习，自然语言处理

个人主页: https://bimsa.net/people/haihuaxie/

CV

个人简介

谢海华2015年在美国爱荷华州立大学取得计算机博士学位，之后在北京大学数字出版技术国家重点实验室担任高级研究员和知识服务方向负责人，于2021年10月全职入职BIMSA。他的研究方向包括：自然语言处理和知识服务。他发表论文数量超过20篇，拥有7项发明专利，入选北京市高水平人才项目并当选北京市杰出专家。

研究兴趣

  • Professional Knowledge Processing, Knowledge Mining and Knowledge Services
  • Knowledge Graph and Knowledge Base Construction, Knowledge Base Data Verification
  • Text Big Data Analytics
  • User Behavior Data Analysis, User Intent Speculation and User New Requirements Mining

教育经历

  • 2009 - 2015      美国爱荷华州立大学      计算机科学      博士
  • 2006 - 2009      清华大学      软件工程      硕士
  • 2002 - 2006      南京邮电大学      电子信息科学与技术      学士

工作经历

  • 2021 -      北京雁栖湖应用数学研究院      Assistant Professor
  • 2017 - 2021      北大方正集团数字出版技术国家重点实验室      高级算法研究员、知识服务方向负责人、博士后导师
  • 2015 - 2017      北京大学      博士后
  • 2015 - 2017      北大方正集团      算法研究员

荣誉与奖项

  • 2019      中关村高端领军人才
  • 2019      Outstanding postdoctoral fellows (20 in total), 20th Anniversary of Postdoctoral Workstation in Zhongguancun Science and Technology Park
  • 2018      北京市第十三批海外高层次人才、北京市特聘专家

出版物

  • [1] 张涛, 汤珂, 谢海华, 基于文本分析的首席经济学家信心指数的构建与宏观预测, accepted by 管理科学学报 (2024)
  • [2] Haihua Xie, Miao He, Xiaoming Zhang, Lin Liu, and Philip S. Yu, OpenNOD: Opinion Dynamics Modelling in Open Network Environments, submitted to IEEE Transactions on Knowledge and Data Engineering (2024)
  • [3] Huzhi Xue, Haihua Xie, RankLLM: A multi-criteria decision-making method for LLM performance evaluation, submitted to The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) (2024)
  • [4] Haihua XIE, Miao HE, Stance Detection for Macro Topics based on Multi-factor Aggregation Analysis, submitted to The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)(2024)
  • [5] Huzhi Xue, Haihua Xie, and Carl K. Chang, Assessing AI adoption for enhancing healthcare supply chain resilience: A novel hybrid interval-valued q-rung orthopair fuzzy MCDM, IEEE ICDH 2024: IEEE International Conference on Digital Health (2024)
  • [6] Haihua Xie, Xiaoqing Lyu, Yi Zhang, Sentence Tagging, Editing and Character Filling based Generalized Strategy for Chinese Grammatical Error Diagnosis, accepted by Data Intelligence (2023)
  • [7] Lin Liu, Haihua Xie, Jingwei Yang, and Yanni Li, Building Smart Systems to Satisfice User Intention in Situ: A Look Back to the Future, 2023 IEEE International Conference on Software Services Engineering (SSE). IEEE(2023), 262-271
  • [8] Haihua XIE, Xuefei CHEN, Xiaoqing LYU, and Lin LIU, A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation, 2023 China Conference on Knowledge Graph and Semantic Computing(2023)
  • [9] 张涛,汤珂,谢海华, 基于自然语言处理的高频经济学家信心指数构建和宏观预测, 第三届中国宏观经济学者论坛(2022)
  • [10] XIE Haihua, CHEN Xuefei, DU Yimin, Lyu Xiaoqing, TANG Zhi, A Semi-supervised Method for Chinese Key Phrase Extraction Based on Statistical Features and Graph Model, Chinese Journal of information, 36(4), 57-65 (2022)
  • [11] Haihua Xie, Xiaoqing Lyu, and Xuefei Chen, String Editing based Chinese Grammatical Error Diagnosis, The 29th International Conference on Computational Linguistics (COLING ’22), Gyeongju, Republic of Korea, October 12-17, 2022(2022), 5335-5344
  • [12] XIE Haihua, CHEN Zhiyou, CHENG Jing, Lyu Xiaoqing, TANG Zhi. Chinese Grammar Error Detection based on Data Enhancement and Multi-task Feature Learning. Chinese Journal of information, 2022, 36(12): 16-23.
  • [13] XIE Haihua, LI Aolin, LI Yabo, CHEN Zhiyou, CHENG Jing, Lyu Xiaoqing, TANG Zhi. CPLM-CSC: Character-based Pre-trained Language Model for Chinese Spelling Checking and Correction. Chinese Journal of information, 2021, 35(5): 38-45.
  • [14] Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma: Learning Local and Global Priors for JPEG Image Artifacts Removal. IEEE Signal Process. Lett. 27: 2134-2138 (2020).
  • [15] Shaoling Jing, Shibo Hong, Dongyan Zhao, Haihua Xie, Zhi Tang: Combining Impression Feature Representation for Multi-turn Conversational Question Answering. CNCL 2020:57-69.
  • [16] Nuo Xu, Haihua Xie, Dongyan Zhao: A Novel Joint Framework for Multiple Chinese Events Extraction. CNCL 2020: 174-183.
  • [17] Haihua Xie, Zhiyou Chen, Jing Cheng, Xiaoqing Lyu, Zhi Tang, “Chinese Grammar Error Detection based on Data Enhancement and Multi-task Feature Learning”, Proceedings of The Nineteenth China National Conference on Computational Linguistics (CCL 2020).
  • [18] Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, Zhi Tang, “SemBRS: A Semantic Analysis based Book Retrieval Approach”, IEEE 3rd International Conference on Multimedia Information Processing and Retrieval (MIPR 2020).
  • [19] Jianwei Li, Yongtao Wang, Haihua Xie, and Kai-Kuang Ma, Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal, IEEE Transactions on Image Processing, 29(2020), 8842-8854
  • [20] Haihua Xie, Aolin Li, Yabo Li, Jing Cheng, Zhiyou Chen, Xiaoqing Lyu, Zhi Tang, “Automatic Chinese Spelling Correction based on Character-based Pre-trained Contextual Representations”, Proceedings of The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019).
  • [21] Haihua Xie, Xiaoqing Lyu, Xuefei Chen, Jinle Tong, Zhi Tang, “ES-ESens: Detection of Event Sentences based on Evaluation of the Explicitness and Significance of Information”, Proceedings of IEEE 2nd International Conference on Multimedia Information Processing and Retrieval (MIPR 2019).
  • [22] Haihua Xie, Aolin Li, Yabo Li, Zhiyou Chen, Jing Cheng, Xiaoqing Lyu, Zhi Tang, “CPLM-CSC: Character-based Pre-trained Language Model for Chinese Spelling Checking and Correction”, Proceedings of The Eighteenth China National Conference on Computational Linguistics (CCL 2019).
  • [23] Haihua Xie, Xiaoqing Lyu, Zhi Tang, “Clustering Analysis-Based Approach to Detecting Entity Mixture in Knowledge Bases”, Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL 2018): 395-396.
  • [24] Yitao Liu, Xiaoqing Lyu, Haihua Xie, Xiaotong Yan, Bei Wang, Zhi Tang, “A Method for Improving the Reliability of Causal Inference from Large-scale Data in Biomedicine”, Proceedings of 2018 International Conference on Bioinformatics and Biomedicine (BIBM18).
  • [25] Haihua Xie, Jingwei Yang, Carl K. Chang, Lin Liu, “A statistical analysis approach to predict user's changing requirements for software service evolution”, Journal of Systems and Software, Volume 132, October 2017: 147-164. (SCI, JCR Q1)
  • [26] Haihua Xie, Xiaoqing Lyu, Zhi Tang, Xiaojun Huang, “Detection of Entity Mixture in Knowledge Bases Using Hierarchical Clustering”, Proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing and 24th International Conference on Computer Processing of Oriental Languages (NLPCC-ICCPOL 2016): 288-299.
  • [27] Haihua Xie, Xiaoqing Lyu, Zhi Tang, Mao Ye, “A Methodology to Evaluate Triple Confidence and Detect Incorrect Triples in Knowledge Bases”, Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries (JCDL 2016): 251-252.
  • [28] Haihua Xie, Carl K. Chang, “Detection of New Intentions from Users Using the CRF Method for Software Service Evolution in Context-Aware Environments”, Proceedings of the 39th Annual IEEE Computer Software and Applications Conference (COMPSAC 2015): 385-391.
  • [29] Tianying Li, Tong Li, Haihua Xie, Lin Liu, “i*-Prefer: A Tool for Preference Model-Driven Decision Making”, Proceedings of the 5th International i* Workshop 2011 (iStar 2011): 151-153.
  • [30] Haihua Xie, “Observable Context-Based User Intention Specification in Context-Aware Environments”, Proceedings of the 35th Annual IEEE Computer Software and Applications Conference (COMPSAC 2011): 712-715
  • [31] Haihua Xie, Lin Liu, Jingwei Yang, “i*-Prefer: Optimizing Requirements Elicitation Process Based on Actor Preferences”, Proceedings of the 24th ACM Symposium on Applied Computing (ACM SAC 2009): 347-354.
  • [32] Wenting Ma, Lin Liu, Haihua Xie, Hongyu Zhang, Jinglei Yin, “Preference Model Driven Services Selection”, Proceedings of the 21st International Conference on Advanced Information Systems Engineering (CAiSE 2009): 216-230.
  • [33] Huzhi Xue, Butian Zhao, Haihua Xie, Jun Wang, An integrated multi-criteria decision-making approach with unknown weight information under probabilistic dual-hesitant Pythagorean fuzzy environment and its application to supplier selection

 

更新时间: 2024-10-06 17:22:29