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Nicholas D. Lane

1993–2026 年に発表

278
論文数
18,719
被引用数
61
h 指数
165
i10 指数

被引用数

Nicholas D. Lane の年別被引用数1993 年: 被引用 1 件1995 年: 被引用 3 件1996 年: 被引用 3 件1998 年: 被引用 5 件1999 年: 被引用 5 件2000 年: 被引用 3 件2001 年: 被引用 4 件2002 年: 被引用 6 件2003 年: 被引用 5 件2004 年: 被引用 5 件2005 年: 被引用 1 件2006 年: 被引用 5 件2007 年: 被引用 29 件2008 年: 被引用 88 件2009 年: 被引用 139 件2010 年: 被引用 240 件2011 年: 被引用 402 件2012 年: 被引用 569 件2013 年: 被引用 722 件2014 年: 被引用 876 件2015 年: 被引用 1,031 件2016 年: 被引用 873 件2017 年: 被引用 981 件2018 年: 被引用 955 件2019 年: 被引用 1,008 件2020 年: 被引用 1,040 件2021 年: 被引用 1,084 件2022 年: 被引用 768 件2023 年: 被引用 733 件2024 年: 被引用 784 件2025 年: 被引用 783 件2026 年: 被引用 243 件1994 年は被引用が無いため表示していません1997 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 3,089 件、この内訳の 23%中国: 引用元論文 2,105 件、この内訳の 15.7%イギリス: 引用元論文 978 件、この内訳の 7.3%ドイツ: 引用元論文 520 件、この内訳の 3.9%イタリア: 引用元論文 516 件、この内訳の 3.8%韓国: 引用元論文 418 件、この内訳の 3.1%カナダ: 引用元論文 404 件、この内訳の 3%オーストラリア: 引用元論文 364 件、この内訳の 2.7%日本: 引用元論文 351 件、この内訳の 2.6%インド: 引用元論文 334 件、この内訳の 2.5%スイス: 引用元論文 301 件、この内訳の 2.2%フランス: 引用元論文 289 件、この内訳の 2.2%
0%23%その他 28%

機関

分野

  • Computer Science63.4%
  • Engineering14.1%
  • Social Sciences6.7%
  • Psychology5.4%
  • Medicine3.2%
  • Health Professions1.5%
  • その他5.7%

トピック

  • Context-Aware Activity Recognition Systems7%
  • Mobile Crowdsensing and Crowdsourcing6.6%
  • Human Mobility and Location-Based Analysis5.5%
  • IoT and Edge/Fog Computing4.1%
  • Indoor and Outdoor Localization Technologies3.7%
  • Privacy-Preserving Technologies in Data2.9%
  • その他70.2%

共著者

全論文

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  1. SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

    著者: Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane - Conference on Mobile Computing and Networking, MobiCom 2020 被引用: 282

  2. Small Language Models: Survey, Measurements, and Insights

    著者: Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu - arXiv (Cornell University), CoRR 2024 被引用: 110

  3. Federated benchmarking of medical artificial intelligence with MedPerf

    著者: Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson - Nature Machine Intelligence, Nat. Mac. Intell. 2023 被引用: 149

  4. Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions

    著者: Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane - Workshop on Embedded and Mobile Deep Learning, EMDL@MobiSys 2021 被引用: 100

  5. IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

    著者: HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz - on Interactive Mobile Wearable and Ubiquitous Technologies, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2020 被引用: 143

  6. Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2024, Washington D.C., DC, USA, November 18-22, 2024

    著者: Weisong Shi, Deepak Ganesan, Nicholas D. Lane - MobiCom 2024 被引用: 48

  7. A survey of mobile phone sensing

    著者: Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell - IEEE Communications Magazine, IEEE Commun. Mag. 2010 被引用: 2,292

  8. Using Smartphones to Collect Behavioral Data in Psychological Science

    著者: Gabriella M. Harari, Nicholas D. Lane, Rui Wang, Benjamin S. Crosier, Andrew T. Campbell, Samuel D. Gosling - Perspectives on Psychological Science 2016 被引用: 533

  9. Multimodal Deep Learning for Activity and Context Recognition

    著者: Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar - on Interactive Mobile Wearable and Ubiquitous Technologies, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2017 被引用: 287

  10. μNAS: Constrained Neural Architecture Search for Microcontrollers

    著者: Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane - Workshop on Machine Learning and Systems, EuroMLSys@EuroSys 2021 被引用: 85

  11. FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

    著者: Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane - NeurIPS 2021 被引用: 369

  12. A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

    著者: Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi - IEEE Internet of Things Journal, IEEE Internet Things J. 2020 被引用: 159

  13. The Future of Large Language Model Pre-training is Federated

    著者: Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane - arXiv (Cornell University), CoRR 2024 被引用: 29

  14. A first look into the carbon footprint of federated learning

    著者: Xinchi Qiu, Titouan Parcollet, Fernandez-Marques, Javier, de Gusmao, Pedro Porto Buarque, Gao, Yan, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane - arXiv (Cornell University), CoRR 2021 被引用: 55

  15. End-to-end data-driven weather prediction

    著者: Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner - Nature, Nat. 2025 被引用: 63

  16. Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings

    著者: Catherine Tong, Jinchen Ge, Nicholas D. Lane - on Interactive Mobile Wearable and Ubiquitous Technologies, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2021 被引用: 39

  17. Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables

    著者: Sourav Bhattacharya, Nicholas D. Lane - Conference on Embedded Networked Sensor Systems CD-ROM, SenSys 2016 被引用: 235

  18. Secure Aggregation for Federated Learning in Flower

    著者: Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane - International Workshop on Distributed Machine Learning, DistributedML@CoNEXT 2021 被引用: 43

  19. MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors

    著者: Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane - The 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 被引用: 80

  20. Squeezing Deep Learning into Mobile and Embedded Devices

    著者: Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar - IEEE Pervasive Computing, IEEE Pervasive Comput. 2017 被引用: 218

  21. TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

    著者: Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo - ICML 2024 被引用: 30

  22. DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning

    著者: Nicholas D. Lane, Petko Georgiev, Lorena Qendro - International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015 被引用: 315

  23. FLOWER: A FRIENDLY FEDERATED LEARNING FRAMEWORK

    著者: Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernández-Marqués, Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro Porto Buarque de Gusmão, Nicholas D. Lane - 2022 被引用: 57

  24. Predicting Patient Outcomes with Graph Representation Learning

    著者: Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò - Studies in computational intelligence 2022 被引用: 40