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

  • Natural Language Processing, LLM Agents, Social Simulation
  • Knowledge Engineering, Knowledge Mining and Knowledge Services, Knowledge Graph
  • Domain-Specific Big Data 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      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      数字出版技术国家重点实验室      算法研究员
  • 2015 - 2017      北京大学      博士后

荣誉与奖项

  • 2025      若琳论文奖 (北京雁栖湖应用数学研究院, 清华大学求真书院, 清华大学丘成桐数学中心, 中国科学院晨兴数学中心)
  • 2019      Outstanding postdoctoral fellows (20 in total), 20th Anniversary of Postdoctoral Workstation in Zhongguancun Science and Technology Park
  • 2019      中关村高端领军人才
  • 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] Yinzhu Cheng, Haihua Xie, Yaqing Wang, Miao He, Mingming Sun, Semantic Distance Measurement based on Multi-Kernel Gaussian Processes, Data Analytics and Topology, 1, 133-142 (2026)
  • [2] Miao He, Haihua Xie, Reshaping the Narrative: Linguistic Evolution and Reception in Online Storytelling Communities, ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) (2026)
  • [3] Haihua Xie, Miao He, GC-DPG: Graph-Constrained Dual-Phase Generation for Safe and Verifiable Chinese Medical Question Answering, accepted by THE ACM WEB CONFERENCE 2026 (WWW’ 26) (2026)
  • [4] Huzhi Xue, Haihua Xie, From Configuration to Evolution: Corporate Social Responsibility Practices and Supply Chain Effects on Environmental Innovation, accepted by 2026 IEEE World Congress on Computational Intelligence (2026)
  • [5] Haihua Xie, Miao He, Xiaoming Zhang, Lin Liu, and Philip S. Yu, OpenNOD: Opinion Dynamics Modelling in Open Network Environments, accepted by IEEE Transactions on Knowledge and Data Engineering (2025)
  • [6] Haihua XIE, Yinzhu CHENG, Yaqing WANG, Miao HE, Mingming SUN, RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) (2025)
  • [7] Haihua Xie, Miao He, Tracking Fine-Grained Public Opinions: Two Datasets from Online Discourse on Trending Topics, Mathematics (2025)
  • [8] Huzhi Xue, Butian Zhao, Haihua Xie, Zeyu Sun, RankLLM: A multi-criteria decision-making method for LLM performance evaluation in sentiment analysis, The Twenty-fourth China National Conference on Computational Linguistics, CCL 2025 (2025)
  • [9] Huzhi Xue, Haihua Xie, Butian Zhao, A social trust network-based hybrid fuzzy multi-criteria group decision-making approach for decarbonized and sustainable supplier selection, Complex & Intelligent Systems (2025)
  • [10] 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, 管理科学学报, 28(5), 1-18 (2025)
  • [11] Haihua XIE, Xuefei CHEN, Xiaoqing LYU, and Lin LIU, A Generalized Strategy of Chinese Grammatical Error Diagnosis Based on Task Decomposition and Transformation, Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence (CCKS 2023), 135-147 (2023)
  • [12] 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), 262-271 (2023)
  • [13] W. Donovan, Relating derived equivalences for simplices of higher-dimensional flops, Adv. Stud. Pure Math., 88(2023), 305-330
  • [14] Haihua Xie, Xiaoqing Lyu, and Xuefei Chen, String editing based Chinese grammatical error diagnosis, Proceedings of the 29th International Conference on Computational Linguistics (COLING2022), 5335-5344 (2022)
  • [15] Tianxiang Yue, Yi Liu, Zhengping Du, John Wilson, Dongyi Zhao, Yu Wang, Na Zhao, Wenjiao Shi, Zemeng Fan, Xiaomin Zhao, Qin Zhang, Hongsheng Huang, Qingyuan Wu, Wei Zhou, Yimeng Jiao, Zhe Xu, Saibo Li, Yang Yang, and Bojie Fu, Quantum machine learning of eco-environmental surfaces, Science Bulletin, 67(2022), 1031-1033
  • [16] 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)
  • [17] X Haihua, C Zhiyou, C Jing, L Xiaoqing, T Qi, Chinese grammar error detection method based on data augmentation and multi task feature learning [J], Chinese Journal of Information Science, 36(12), 36-43 (2022)
  • [18] XIE Haihua, CHEN Zhiyou, CHENG Jing, Lyu Xiaoqing, TANG Zhi, 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), 36(12), 16-23 (2020)
  • [19] Nuo Xu, Haihua Xie, Dongyan Zhao, A novel joint framework for multiple Chinese events extraction, China National Conference on Chinese Computational Linguistics, CNCL, 174-183 (2020)
  • [20] 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, 8842-8854 (2020)
  • [21] Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, Zhi Tang, Sembrs: a semantic analysis based book retrieval approach, 2020 IEEE conference on multimedia information processing and retrieval (MIPR), 101-104 (2020)
  • [22] Andrea Lucchini, Mariapia Moscatiello, Sebastien Palcoux and Pablo Spiga, Boolean lattices in finite alternating and symmetric groups, Forum of Mathematics, Sigma, 8, e55 (2020)
  • [23] Shaoling Jing, Shibo Hong, Dongyan Zhao, Haihua Xie, Zhi Tang, Combining Impression Feature Representation for Multi-turn Conversational Question Answering, Chinese Computational Linguistics: 19th China National Conference, CCL 2020, Hainan, China, October 30–November 1, 2020, Proceedings 19, 57-69 (2020)
  • [24] N Xu¹, H Xie, Check for updates A Novel Joint Framework for Multiple, Chinese Computational Linguistics (2020)
  • [25] Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma, Learning local and global priors for JPEG image artifacts removal, IEEE Signal Processing Letters, 27, 2134-2138 (2020)
  • [26] H Xie, A Li, Y Li, J Cheng, Z Chen, X Lyu, Z Tang, Automatic chinese spelling checking and correction based on character-based pre-trained contextual representations, Natural Language Processing and Chinese Computing (NLPCC 2019) (2019)
  • [27] 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). (2019)
  • [28] 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). (2019)
  • [29] 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, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 32-35 (2019)
  • [30] 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, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 693-696 (2018)
  • [31] 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, 395-396 (2018)
  • [32] 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, 132, 147-164 (2017)
  • [33] Haihua XIE, Xiaoqing LYU, Zhi TANG, Xiaojun HUANG, Detection of Entity Mixture in Knowledge Bases Using Hierarchical Clustering, The 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, 288-299 (2016)
  • [34] 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, 16th, 251-252 (2016)
  • [35] Haihua XIE, Carl K. CHANG, Detection of new intentions from users using the CRF method for software service evolution in context-aware environments, 2015 IEEE 39Th annual computer software and applications conference, 2, 71-76 (2015)
  • [36] Haihua XIE, Carl K. CHANG, Hua MING, Kai-Shin LU, The Concepts and Ontology of SiSL: A Situation-Centric Specification Language, 2012 IEEE 36th Annual Computer Software and Applications Conference Workshops, 385-391 (2012)
  • [37] Haihua XIE, Observable context-based user intention specification in context-aware environments, 2011 IEEE 35th Annual Computer Software and Applications Conference, 712-715 (2011)
  • [38] Haihua XIE, Lin LIU, Jingwei YANG, i*-prefer: optimizing requirements elicitation process based on actor preferences, Proceedings of the 2009 ACM symposium on Applied Computing, 347-354 (2009)

 

更新时间: 2026-05-20 17:00:09