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Baochun Li

1999–2026 年に発表

480
論文数
21,889
被引用数
77
h 指数
317
i10 指数

被引用数

Baochun Li の年別被引用数2000 年: 被引用 12 件2001 年: 被引用 39 件2002 年: 被引用 39 件2003 年: 被引用 101 件2004 年: 被引用 177 件2005 年: 被引用 272 件2006 年: 被引用 363 件2007 年: 被引用 375 件2008 年: 被引用 507 件2009 年: 被引用 618 件2010 年: 被引用 745 件2011 年: 被引用 756 件2012 年: 被引用 829 件2013 年: 被引用 799 件2014 年: 被引用 962 件2015 年: 被引用 1,000 件2016 年: 被引用 862 件2017 年: 被引用 850 件2018 年: 被引用 795 件2019 年: 被引用 764 件2020 年: 被引用 707 件2021 年: 被引用 735 件2022 年: 被引用 745 件2023 年: 被引用 769 件2024 年: 被引用 901 件2025 年: 被引用 862 件2026 年: 被引用 192 件2027 年: 被引用 1 件

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 4,801 件、この内訳の 28%アメリカ合衆国: 引用元論文 3,422 件、この内訳の 19.9%カナダ: 引用元論文 1,185 件、この内訳の 6.9%香港: 引用元論文 862 件、この内訳の 5%イギリス: 引用元論文 582 件、この内訳の 3.4%オーストラリア: 引用元論文 521 件、この内訳の 3%インド: 引用元論文 457 件、この内訳の 2.7%韓国: 引用元論文 407 件、この内訳の 2.4%ドイツ: 引用元論文 401 件、この内訳の 2.3%フランス: 引用元論文 396 件、この内訳の 2.3%シンガポール: 引用元論文 355 件、この内訳の 2.1%イタリア: 引用元論文 327 件、この内訳の 1.9%
0%28%その他 20.1%

機関

分野

  • Computer Science87.7%
  • Engineering6.3%
  • Decision Sciences2%
  • Biochemistry, Genetics and Molecular Biology1%
  • Social Sciences0.8%
  • Physics and Astronomy0.5%
  • その他1.7%

トピック

  • Cooperative Communication and Network Coding7.6%
  • Caching and Content Delivery7.4%
  • Cloud Computing and Resource Management5.5%
  • Mobile Ad Hoc Networks5%
  • Peer-to-Peer Network Technologies4.4%
  • Privacy-Preserving Technologies in Data4%
  • その他66.1%

共著者

全論文

検索で開く
  1. Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

    著者: Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 被引用: 958

  2. Towards Private Learning on Decentralized Graphs With Local Differential Privacy

    著者: Wanyu Lin, Baochun Li, Cong Wang - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2022 被引用: 84

  3. Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices

    著者: Chenghao Hu, Baochun Li - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 被引用: 70

  4. Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer

    著者: Zhongjie Ba, Tianhang Zheng, Xinyu Zhang, Zhan Qin, Baochun Li, Xue Liu, Kui Ren - Proceedings 2020 Network and Distributed System Security Symposium, NDSS 2020 被引用: 114

  5. Asynchronous Federated Unlearning

    著者: Ningxin Su, Baochun Li - IEEE INFOCOM 2023 - IEEE Conference on Computer Communications 2023 被引用: 51

  6. Software-Defined Wide Area Network (SD-WAN): Architecture, Advances and Opportunities

    著者: Zhenjie Yang, Yong Cui, Baochun Li, Yadong Liu, Yi Xu - 28th International Conference on Computer Communication and Networks (ICCCN) 2019 被引用: 148

  7. MaskCrypt: Federated Learning With Selective Homomorphic Encryption

    著者: Chenghao Hu, Baochun Li - IEEE Transactions on Dependable and Secure Computing, IEEE Trans. Dependable Secur. Comput. 2024 被引用: 57

  8. Distributed Machine Learning with a Serverless Architecture

    著者: Hao Wang, Di Niu, Baochun Li - IEEE INFOCOM 2019 - IEEE Conference on Computer Communications 2019 被引用: 136

  9. Communication-Efficient Federated Learning with Adaptive Parameter Freezing

    著者: Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang - IEEE 41st International Conference on Distributed Computing Systems (ICDCS) 2021 被引用: 67

  10. Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending

    著者: Sijia Chen, Baochun Li - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 被引用: 50

  11. Cross-Cluster Federated Learning and Blockchain for Internet of Medical Things

    著者: Hai Jin, Xiaohai Dai, Jiang Xiao, Baochun Li, Huichuwu Li, Yan Zhang - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 被引用: 90

  12. How Asynchronous can Federated Learning Be?

    著者: Ningxin Su, Baochun Li - IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) 2022 被引用: 37

  13. Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks

    著者: Wanyu Lin, Zhaolin Gao, Baochun Li - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 被引用: 66

  14. DeepQueueNet: towards scalable and generalized network performance estimation with packet-level visibility

    著者: Qingqing Yang, Xi Peng, Li Chen, Libin Liu, Jingze Zhang, Hong Xu, Baochun Li, Gong Zhang - SIGCOMM 2022 Conference 2022 被引用: 36

  15. Federated Unlearning and Its Privacy Threats

    著者: Fei Wang, Baochun Li, Bo Li - IEEE Network, IEEE Netw. 2023 被引用: 34

  16. Eagle: Refining Congestion Control by Learning from the Experts

    著者: Salma Emara, Baochun Li, Yanjiao Chen - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 被引用: 61

  17. Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems

    著者: Wei Wang, Ben Liang, Baochun Li - IEEE Transactions on Parallel and Distributed Systems, IEEE Trans. Parallel Distributed Syst. 2014 被引用: 153

  18. On Sharding Open Blockchains with Smart Contracts

    著者: Yuechen Tao, Bo Li, Jingjie Jiang, Hok Chu Ng, Cong Wang, Baochun Li - IEEE 36th International Conference on Data Engineering (ICDE) 2020 被引用: 72

  19. Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning

    著者: Zhiming Hu, James Tu, Baochun Li - IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 2019 被引用: 67

  20. Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud

    著者: Boyang Wang, Baochun Li, Hui Li - IEEE Fifth International Conference on Cloud Computing, IEEE CLOUD 2012 被引用: 460

  21. sFlow: Towards Resource-Efficient and Agile Service Federation in Service Overlay Networks

    著者: Mea Wang, Baochun Li, Zongpeng Li - International Conference on Distributed Computing Systems, ICDCS 2004 被引用: 136

  22. FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains

    著者: Junpei Ni, Jiang Xiao, Shijie Zhang, Bo Li, Baochun Li, Hai Jin - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 被引用: 25

  23. Poisoning Attacks on Deep Learning based Wireless Traffic Prediction

    著者: Tianhang Zheng, Baochun Li - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 被引用: 28

  24. Titanic: Towards Production Federated Learning with Large Language Models

    著者: Ningxin Su, Chenghao Hu, Baochun Li, Bo Li - IEEE INFOCOM 2024 - IEEE Conference on Computer Communications 2024 被引用: 25