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朱洪银

1 研究兴趣

1.1 大语言模型

  1. Zhu et al., 发明专利：大模型安全防护方法、装置、设备及存储介质, CN202510897999.2
  2. Zhu et al., 发明专利：信息检测方法、装置、设备、存储介质及产品, CN202510875037.7
  3. Zhu et al., 发明专利：回答生成方法、装置、设备、存储介质及产品, CN202510179924.0
  4. Zhu et al., 发明专利：大模型优化方法、装置、设备及存储介质, CN202510437117.4
  5. Zhu et al. Pre-training Graph Autoencoder Incorporating Hierarchical Topology Knowledge, Arxiv, 2024
  6. Zhu. Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information, Journal of Artificial Intelligence and Robotics, 2024
  7. Zhu et al. Climate Change from Large Language Models, Arxiv, 2023
  8. Zhu et al., Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. Expert Systems with Applications, 2022
  9. Zhu et al., A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering. IEEE Transactions on Industrial Informatics, 2021
  10. Zhu. 融合常识与领域知识的预训练语言模型关键技术研究. 清华大学, 2022
  11. Zhu et al., 发明专利：数据处理方法、装置、电子设备及计算机可读存储介质, CN202310492370.0 （申请美国专利）
  12. Zhu et al., 发明专利：图像检测方法、装置、电子设备及计算机可读存储介质, CN202310340822.3 （申请美国专利）
  13. Zhu et al., 发明专利：一种文本信息处理方法、系统、设备及计算机存储介质, CN202310294417.2 （申请美国专利）
  14. Zhu et al., 发明专利：一种文本检测方法、装置、设备、介质及系统, CN202310401835.7 （申请美国专利）
  15. Zhu et al., 发明专利：推荐方法、模型训练方法、装置、设备既可读存储介质, CN202311284394.3（申请美国专利）
  16. Zhu et al., 发明专利：信息获取方法、装置、设备、服务器及集群、存储介质, CN202311459391.9（申请美国专利）
  17. Zhu et al., 发明专利：一种数据推送方法、装置、电子设备及存储介质, CN202311421339.4（申请美国专利）
  18. Zhu et al., 发明专利：推荐方法、模型训练方法、装置、设备及可读存储介质, CN202311284394.3（申请美国专利）
  19. Zhu et al., 发明专利：基于大语言模型的推荐模型的生成方法以及相应的产品, CN202311675494.9（申请美国专利）
  20. Zhu et al., 发明专利：交互对象的推荐的方法和装置、存储介质及电子设备, CN202410283958.X（申请美国专利）

发布的大语言模型 Huggingface社区

1.2 知识图谱

  1. Zhu H. Peer Review Report For: An ontology-driven knowledge graph for tourism information management. Open Research Europe 2025, 5:1 (https://doi.org/10.21956/openreseurope.19033.r50241)
  2. Zhu. Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks. Arxiv, 2023
  3. Wan et al. Construction of Multimodal Dialog System via Knowledge Graph in Travel Domain, APWeb, 2023
  4. Zhu et al., 基于实体语义聚合的常识知识图谱嵌入学习方法, CCKS, 2023
  5. Zhu et al., SwitchNet: A modular neural network for adaptive relation extraction. Computers and Electrical Engineering, 2022
  6. Xie et al., Construction of Multi-modal Chinese Tourism Knowledge Graph. ICPCSEE, 2021
  7. Wen et al., 多策略中文开放关系抽取方法. CCKS, 2021
  8. Das et al., Breast cancer detection using an ensemble deep learning method, Biomedical Signal Processing and Control ,2021
  9. Tiwari et al., Distance-aware knowledge graph reasoning based on deep reinforcement learning. Neural Networks, 2020
  10. Wang et al., Structural block driven-enhanced convolutional neural representation for relation extraction. Applied Soft Computing, 2020
  11. Zhu et al., FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. NLPCC, 2019
  12. Li et al., 发明专利：一种旅游知识图谱模型确定方法及装置，CN202111372439.3
  13. Li et al., 发明专利：常识知识评分和排序方法及装置，CN202210292415.5
  14. Li et al., 发明专利：一种旅游知识语义分析方法及装置，CN202111371152.9
  15. Zhu et al., 发明专利：目标知识图谱嵌入方法、其装置及电子设备, CN202310970701.7（申请美国专利）
  16. Zhu et al., 发明专利：一种图数据分类方法、系统、装置及介质, CN202310945202.2（申请美国专利）
  17. Zhu et al., 发明专利：一种常识知识图谱的存储方法、系统, CN202311177003.8（申请美国专利）
  18. Zhu et al., 发明专利：一种智慧城市数据处理方法、装置、设备及可读存储介质, CN202410078615.X（申请美国专利）

1.3 脑科学

  1. Zhu et al., Species Classification for Neuroscience Literature Based on Span of Interest Using Sequence-to-sequence Learning Model. Frontiers in Human Neuroscience, 2020
  2. Zhu et al., Research Topics Variation Analysis and Prediction Based on FARO and Neural Networks. IEEE SMC, 2016
  3. Zhu et al., Brain Knowledge Graph Analysis Based on Complex Network Theory. Brain Informatics, 2016
  4. Zhu et al., Relation Inference and Type Identification Based on Brain Knowledge Graph. Brain Informatics, 2016
  5. Zeng et al., User Interests Analysis and Its Application on the Linked Brain Data Platform. Brain Informatics, 2016
  6. Zhu et al., Brain Knowledge Engine. Advances in Neuroinformatics IV. AINI 2016. Conference Abstract: Demonstration Session
  7. Zhu. 基于神经科学文献感兴趣片段的跨物种脑认知知识图谱自动构建. 中国科学院大学, 2020
  8. Zhu. 面向认知功能的脑区环路知识图谱自动构建. 中国科学院大学, 2017
  9. Zhu et al., 发明专利：一种文献分析方法、系统、设备及存储介质, CN202311459391.9（申请美国专利）

1.4 其他主题

  1. Lin et al. EFSC: An Efficient, Flexible and Secure Trading System for Computing Power Network, IEEE Conference on Local Computer Network (LCN), 2024
  2. Liu et al. Integrating FPGA-based hardware acceleration with relational databases. Parallel Computing, 2024.
  3. Liu et al. Neural Personalized Topic Modeling for Mining User Preferences on Social Media. CIKM, 2023

2 近期学术和产业动态

2.1 作报告

2.2 研究提案/指南

2.3 参加活动

2.4 担任以下国际期刊审稿人

友情链接

  1. 谷歌学术
  2. DBLP
  3. Semantic scholar