Publications

2025

• W. F. Shen et al., “LUNAR: LLM Unlearning via Neural Activation Redirection,” 2025.
  • BibTeX

  @article{shen2025lunar,
    author = {Shen, W.F. and Qiu, X. and Kurmanji, M. and Iacob, A. and Sani, L. and Chen, Y. and Cancedda, N. and Lane, N.D.},
    title = {{LUNAR: LLM Unlearning via Neural Activation Redirection}},
    note = {Under review},
    year = {2025}
  }
  

• A. Iacob et al., “DEPT: Decoupled Embeddings for Pre-training Language Models,” in Proceedings of ICLR 2025, 2025.
  • BibTeX

  @inproceedings{iacob2025dept,
    author = {Iacob, A. and Sani, L. and Kurmanji, M. and Shen, W.F. and Qiu, X. and Cai, D. and Gao, Y. and Lane, N.D.},
    title = {{DEPT: Decoupled Embeddings for Pre-training Language Models}},
    booktitle = {Proceedings of ICLR 2025},
    note = {Oral},
    year = {2025}
  }
  

2024

• G. Corsi, B. Marino, and W. Wong, “The spread of synthetic media on X,” Harvard Kennedy School Misinformation Review, Jun. 2024.
  • BibTeX

  @article{synthetic,
    author = {Corsi, Giulio and Marino, Bill and Wong, Willow},
    year = {2024},
    month = jun,
    pages = {},
    title = {The spread of synthetic media on {X}},
    journal = {Harvard Kennedy School Misinformation Review},
    doi = {10.37016/mr-2020-140}
  }
  

  • DOI: 10.37016/mr-2020-140
• W. F. Shen et al., “How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective,” in KDD 2024 Workshop on Evaluation and Trustworthiness of Generative AI Models, 2024.
  • BibTeX

  @inproceedings{shen2024structural,
    author = {Shen, W.F. and Qiu, X. and Chen, Y. and Kurmanji, M. and Cancedda, N. and Stenetorp, P. and Lane, N.D.},
    title = {{How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective}},
    booktitle = {KDD 2024 Workshop on Evaluation and Trustworthiness of Generative AI Models},
    note = {Oral},
    year = {2024}
  }
  

• L. Sani et al., “The Future of Large Language Model Pre-training is Federated,” in NeurIPS 2024 Workshop on Federated Foundation Models, 2024.
  • BibTeX

  @inproceedings{sani2024future,
    author = {Sani, L. and Iacob, A. and Cao, Z. and Marino, B. and Gao, Y. and Paulik, T. and Zhao, W. and Shen, W.F. and Aleksandrov, P. and Qiu, X. and Lane, N.D.},
    title = {{The Future of Large Language Model Pre-training is Federated}},
    booktitle = {NeurIPS 2024 Workshop on Federated Foundation Models},
    year = {2024},
    url = {https://arxiv.org/abs/2405.10853}
  }
  

  • URL
• X. Tong, A. Ghosh, X. Qiu, and C. Mascolo, “FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation,” in Proceedings of KDD 2024, 2024.
  • BibTeX

  @inproceedings{tong2024flea,
    author = {Tong, X. and Ghosh, A. and Qiu, X. and Mascolo, C.},
    title = {{FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation}},
    booktitle = {Proceedings of KDD 2024},
    year = {2024}
  }
  

• W. Zhao et al., “Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages,” in Proceedings of ICLR 2024 and International Workshop on Federated Learning in the Age of Foundation Models, NeurIPS 2023, 2024.
  • BibTeX

  @inproceedings{zhao2024breaking,
    author = {Zhao, W. and Chen, Y. and Lee, R. and Qiu, X. and Gao, Y. and Fan, H. and Lane, N.D.},
    title = {{Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages}},
    booktitle = {Proceedings of ICLR 2024 and International Workshop on Federated Learning in the Age of Foundation Models, NeurIPS 2023},
    year = {2024}
  }
  

• X. Qiu, I. Leontiadis, L. Melis, A. Sablayrolles, and P. Stock, “Evaluating Privacy Leakage in Split Learning,” in Proceedings of the Fifth AAAI Privacy-Preserving Artificial Intelligence (PPAI-24) Workshop, 2024.
  • BibTeX

  @inproceedings{qiu2024split,
    author = {Qiu, X. and Leontiadis, I. and Melis, L. and Sablayrolles, A. and Stock, P.},
    title = {{Evaluating Privacy Leakage in Split Learning}},
    booktitle = {Proceedings of the Fifth AAAI Privacy-Preserving Artificial Intelligence (PPAI-24) Workshop},
    year = {2024}
  }
  

• B. Marino et al., “Compliance Cards: Automated EU AI Act Compliance Analyses amidst a Complex AI Supply Chain.” 2024.
  • BibTeX

  @misc{marino2024compliancecardsautomatedeu,
    title = {Compliance {C}ards: Automated {EU} {AI} {A}ct Compliance Analyses amidst a Complex {AI} Supply Chain},
    author = {Marino, Bill and Chaudhary, Yaqub and Pi, Yulu and Yew, Rui-Jie and Aleksandrov, Preslav and Rahman, Carwyn and Shen, William F. and Robinson, Isaac and Lane, Nicholas D.},
    year = {2024},
    eprint = {2406.14758},
    archiveprefix = {arXiv},
    primaryclass = {cs.AI},
    url = {https://arxiv.org/abs/2406.14758}
  }
  

  • URL
• H. Woisetschläger et al., “Federated Learning Priorities Under the European Union Artificial Intelligence Act.” 2024.
  • BibTeX

  @misc{woisetschläger2024federatedlearningprioritieseuropean,
    title = {Federated Learning Priorities Under the {E}uropean {U}nion {A}rtificial {I}ntelligence {A}ct},
    author = {Woisetschläger, Herbert and Erben, Alexander and Marino, Bill and Wang, Shiqiang and Lane, Nicholas D. and Mayer, Ruben and Jacobsen, Hans-Arno},
    year = {2024},
    eprint = {2402.05968},
    archiveprefix = {arXiv},
    primaryclass = {cs.LG},
    url = {https://arxiv.org/abs/2402.05968}
  }
  

  • URL
• A. Iacob, L. Sani, B. Marino, P. Aleksandrov, W. F. Shen, and N. D. Lane, “Worldwide Federated Training of Language Models.” 2024.
  • BibTeX

  @misc{iacob2024worldwidefederatedtraininglanguage,
    title = {Worldwide Federated Training of Language Models},
    author = {Iacob, Alex and Sani, Lorenzo and Marino, Bill and Aleksandrov, Preslav and Shen, William F. and Lane, Nicholas Donald},
    year = {2024},
    eprint = {2405.14446},
    archiveprefix = {arXiv},
    primaryclass = {cs.LG},
    url = {https://arxiv.org/abs/2405.14446}
  }
  

  • URL

2023

• R. Lee et al., “FedL2P: Federated Learning to Personalized,” in Proceedings of the 37th NeurIPS, 2023.
  • BibTeX

  @inproceedings{lee2023fedl2p,
    author = {Lee, R. and Kim, M. and Li, D. and Qiu, X. and Hospedales, T. and Huszár, F. and Lane, N.D.},
    title = {{FedL2P: Federated Learning to Personalized}},
    booktitle = {Proceedings of the 37th NeurIPS},
    year = {2023}
  }
  

• C. Ma, X. Qiu, D. J. Beutel, and N. D. Lane, “Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates,” in Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023, pp. 56–63.
  • BibTeX

  @inproceedings{ma2023gradientless,
    author = {Ma, C. and Qiu, X. and Beutel, D.J. and Lane, N.D.},
    title = {{Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates}},
    booktitle = {Proceedings of the 3rd Workshop on Machine Learning and Systems},
    pages = {56--63},
    year = {2023}
  }
  

• V. Viktor, X. Qiu, P. P. B. Gusmão, N. D. Lane, and M. Alibeigi, “FedVal: Different good or different bad in federated learning,” in Proceedings of the 32nd USENIX Security Symposium, 2023.
  • BibTeX

  @inproceedings{viktor2023fedval,
    author = {Viktor, V. and Qiu, X. and Gusmão, P.P.B. and Lane, N.D. and Alibeigi, M.},
    title = {{FedVal: Different good or different bad in federated learning}},
    booktitle = {Proceedings of the 32nd USENIX Security Symposium},
    year = {2023}
  }
  

• X. Qiu, H. Pan, W. Zhao, C. Ma, P. P. B. Gusmão, and N. D. Lane, “Efficient Vertical Federated Learning with Secure Aggregation,” in Federated Learning Systems Workshop, MLSys, 2023.
  • BibTeX

  @inproceedings{qiu2023vertical,
    author = {Qiu, X. and Pan, H. and Zhao, W. and Ma, C. and Gusmão, P.P.B. and Lane, N.D.},
    title = {{Efficient Vertical Federated Learning with Secure Aggregation}},
    booktitle = {Federated Learning Systems Workshop, MLSys},
    year = {2023}
  }
  

• X. Qiu, T. Parcollet, D. J. Beutel, T. Topal, A. Mathur, and N. D. Lane, “A First Look into the Carbon Footprint of Federated Learning,” Journal of Machine Learning Research, vol. 24, no. 129, pp. 1–23, 2023.
  • BibTeX

  @article{qiu2023carbon,
    author = {Qiu, X. and Parcollet, T. and Beutel, D.J. and Topal, T. and Mathur, A. and Lane, N.D.},
    title = {{A First Look into the Carbon Footprint of Federated Learning}},
    journal = {Journal of Machine Learning Research},
    volume = {24},
    pages = {1--23},
    number = {129},
    year = {2023}
  }
  

2022

• X. Qiu, J. Fernandez-Marques, P. P. B. Gusmão, Y. Gao, T. Parcollet, and N. D. Lane, “ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity,” in Proceedings of ICLR 2022, 2022.
  • BibTeX

  @inproceedings{qiu2022zerofl,
    author = {Qiu, X.* and Fernandez-Marques, J.* and Gusmão, P.P.B. and Gao, Y. and Parcollet, T. and Lane, N.D.},
    title = {{ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity}},
    booktitle = {Proceedings of ICLR 2022},
    note = {*equal contribution},
    year = {2022}
  }
  

• W. Zhao, X. Qiu, J. Fernandez-Marques, P. P. B. Gusmão, and N. D. Lane, “Protea: Client Profiling within Federated Systems,” in FedEdge Workshop, Mobicom, 2022.
  • BibTeX

  @inproceedings{zhao2022protea,
    author = {Zhao, W. and Qiu, X. and Fernandez-Marques, J. and Gusmão, P.P.B. and Lane, N.D.},
    title = {{Protea: Client Profiling within Federated Systems}},
    booktitle = {FedEdge Workshop, Mobicom},
    year = {2022}
  }
  

• E. Dupont, H. Loya, M. Alizadeh, A. Goliński, Y. W. Teh, and A. Doucet, “COIN++: Data Agnostic Neural Compression.” 2022.
  • BibTeX

  @misc{dupont2022coin,
    title = {COIN++: Data Agnostic Neural Compression},
    author = {Dupont, Emilien and Loya, Hrushikesh and Alizadeh, Milad and Goliński, Adam and Teh, Yee Whye and Doucet, Arnaud},
    year = {2022},
    eprint = {2201.12904},
    archiveprefix = {arXiv},
    primaryclass = {cs.LG},
    permalink = {https://arxiv.org/abs/2201.12904}
  }
  

• M. Alizadeh et al., “Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients,” in International Conference on Learning Representations, 2022.
  • BibTeX

  @inproceedings{alizadeh2022prospect,
    title = {Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients},
    author = {Alizadeh, Milad and Tailor, Shyam A. and Zintgraf, Luisa M and van Amersfoort, Joost and Farquhar, Sebastian and Lane, Nicholas Donald and Gal, Yarin},
    booktitle = {International Conference on Learning Representations},
    year = {2022},
    permalink = {https://arxiv.org/abs/2202.08132}
  }
  

2021

• A. Mathur et al., “On-device Federated Learning with Flower,” in The 2nd On-Device Intelligence Workshop, 2021.
  • BibTeX

  @inproceedings{mathur2021flower,
    author = {Mathur, A. and Beutel, D.J. and Gusmão, P.P.B. and Fernandez-Marques, J. and Topal, T. and Qiu, X. and Parcollet, T. and Gao, Y. and Lane, N.D.},
    title = {{On-device Federated Learning with Flower}},
    booktitle = {The 2nd On-Device Intelligence Workshop},
    year = {2021}
  }
  

• E. Dupont, A. Goliński, M. Alizadeh, Y. W. Teh, and A. Doucet, “COIN: COmpression with Implicit Neural representations,” Neural Compression Workshop at ICLR 2021. 2021.
  • BibTeX

  @misc{dupont2021coin,
    title = {COIN: COmpression with Implicit Neural representations},
    author = {Dupont, Emilien and Goliński, Adam and Alizadeh, Milad and Teh, Yee Whye and Doucet, Arnaud},
    year = {2021},
    eprint = {2103.03123},
    archiveprefix = {arXiv},
    primaryclass = {eess.IV},
    booktitle = {Neural Compression Workshop at ICLR 2021},
    permalink = {https://arxiv.org/abs/2103.03123}
  }
  

• E. Liberis, Ł. Dudziak, and N. D. Lane, “μNAS: Constrained Neural Architecture Search for Microcontrollers,” in Proceedings of the 1st Workshop on Machine Learning and Systems, New York, NY, USA, 2021, pp. 70–79.
  • BibTeX

  @inproceedings{10.1145/3437984.3458836,
    author = {Liberis, Edgar and Dudziak, {\L}ukasz and Lane, Nicholas D.},
    title = {$μ$NAS: Constrained Neural Architecture Search for Microcontrollers},
    year = {2021},
    isbn = {9781450382984},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3437984.3458836},
    doi = {10.1145/3437984.3458836},
    booktitle = {Proceedings of the 1st Workshop on Machine Learning and Systems},
    pages = {70–79},
    numpages = {10},
    keywords = {microcontrollers, tinyml, NAS},
    location = {Online, United Kingdom},
    series = {EuroMLSys '21}
  }
  

  • URL
  • DOI: 10.1145/3437984.3458836

2020

• D. J. Beutel et al., “Flower: A Friendly Federated Learning Research Framework,” CoRR, vol. abs/2007.14390, 2020.
  • BibTeX

  @article{beutel2020flower,
    author = {Beutel, Daniel J. and Topal, Taner and Mathur, Akhil and Qiu, Xinchi and Parcollet, Titouan and de Gusmão, Pedro P. B. and Lane, Nicholas D.},
    title = {Flower: {A} Friendly Federated Learning Research Framework},
    journal = {CoRR},
    volume = {abs/2007.14390},
    year = {2020},
    url = {https://arxiv.org/abs/2007.14390},
    archiveprefix = {arXiv},
    eprint = {2007.14390},
    timestamp = {Mon, 03 Aug 2020 14:32:13 +0200},
    biburl = {https://dblp.org/rec/journals/corr/abs-2007-14390.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
  }
  

  • URL
• J. Fernandez-Marques, P. Whatmough, A. Mundy, and M. Mattina, “Searching for Winograd-aware Quantized Networks,” in Conference on Machine Learning and Systems (MLSys), 2020.
  • BibTeX

  @inproceedings{fernandezmarques2020winograd,
    title = {Searching for Winograd-aware Quantized Networks},
    author = {Fernandez-Marques, Javier and Whatmough, Paul and Mundy, Andrew and Mattina, Matthew},
    year = {2020},
    booktitle = {Conference on Machine Learning and Systems (MLSys)},
    url = {https://arxiv.org/pdf/2002.10711.pdf}
  }
  

  • URL
• M. Alizadeh, A. Behboodi, M. van Baalen, C. Louizos, T. Blankevoort, and M. Welling, “Gradient \(\ell_1\)Regularization for Quantization Robustness,” in International Conference on Learning Representations, 2020.
  • BibTeX

  @inproceedings{alizadeh2020gradient,
    title = {Gradient \(\ell_1\) Regularization for Quantization Robustness},
    author = {Alizadeh, Milad and Behboodi, Arash and van Baalen, Mart and Louizos, Christos and Blankevoort, Tijmen and Welling, Max},
    booktitle = {International Conference on Learning Representations},
    year = {2020},
    url = {https://openreview.net/forum?id=ryxK0JBtPr}
  }
  

  • URL
• R. Lee et al., “Journey Towards Tiny Perceptual Super-Resolution,” European Conference on Computer Vision, 2020.
  • BibTeX

  @article{lee2020journey,
    title = {Journey Towards Tiny Perceptual Super-Resolution},
    author = {Lee, Royson and Dudziak, {\L}ukasz and Abdelfattah, Mohamed and Venieris, Stylianos I and Kim, Hyeji and Wen, Hongkai and Lane, Nicholas D},
    booktitle = {European Conference on Computer Vision},
    year = {2020},
    url = {https://arxiv.org/pdf/2007.04356}
  }
  

  • URL
• J. van Amersfoort, M. Alizadeh, S. Farquhar, N. Lane, and Y. Gal, “Single Shot Structured Pruning Before Training,” arXiv preprint arXiv:2007.00389, 2020.
  • BibTeX

  @article{van2020single,
    title = {Single Shot Structured Pruning Before Training},
    author = {van Amersfoort, Joost and Alizadeh, Milad and Farquhar, Sebastian and Lane, Nicholas and Gal, Yarin},
    journal = {arXiv preprint arXiv:2007.00389},
    year = {2020},
    url = {https://arxiv.org/pdf/2007.00389}
  }
  

  • URL
• S. Bhattacharya, D. Manousakas, A. G. C. P. Ramos, S. I. Venieris, N. D. Lane, and C. Mascolo, “Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 4, no. 2, pp. 1–24, 2020.
  • BibTeX

  @article{bhattacharya2020countering,
    title = {Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices},
    author = {Bhattacharya, Sourav and Manousakas, Dionysis and Ramos, Alberto Gil CP and Venieris, Stylianos I and Lane, Nicholas D and Mascolo, Cecilia},
    journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
    volume = {4},
    number = {2},
    pages = {1--24},
    year = {2020},
    publisher = {ACM New York, NY, USA},
    url = {https://dl.acm.org/doi/abs/10.1145/3397332}
  }
  

  • URL
• H. Kwon et al., “IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition,” arXiv preprint arXiv:2006.05675, 2020.
  • BibTeX

  @article{kwon2020imutube,
    title = {IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition},
    author = {Kwon, Hyeokhyen and Tong, Catherine and Haresamudram, Harish and Gao, Yan and Abowd, Gregory D and Lane, Nicholas D and Ploetz, Thomas},
    journal = {arXiv preprint arXiv:2006.05675},
    year = {2020},
    url = {https://arxiv.org/pdf/2006.05675}
  }
  

  • URL
• Y. Gao, T. Parcollet, and N. Lane, “Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition,” arXiv preprint arXiv:2005.09310, 2020.
  • BibTeX

  @article{gao2020distilling,
    title = {Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition},
    author = {Gao, Yan and Parcollet, Titouan and Lane, Nicholas},
    journal = {arXiv preprint arXiv:2005.09310},
    year = {2020},
    url = {https://arxiv.org/pdf/2005.09310}
  }
  

  • URL
• X. Qiu, T. Parcollet, M. Ravanelli, N. Lane, and M. Morchid, “Quaternion Neural Networks for Multi-channel Distant Speech Recognition,” Interspeech, 2020.
  • BibTeX

  @article{qiu2020quaternion,
    title = {Quaternion Neural Networks for Multi-channel Distant Speech Recognition},
    author = {Qiu, Xinchi and Parcollet, Titouan and Ravanelli, Mirco and Lane, Nicholas and Morchid, Mohamed},
    booktitle = {Interspeech},
    year = {2020},
    url = {https://arxiv.org/pdf/2005.08566}
  }
  

  • URL
• R. Vipperla, S. Ishtiaq, R. Li, S. Bhattacharya, I. Leontiadis, and N. D. Lane, “LEARNING TO LISTEN... ON-DEVICE: Present and future perspectives of on-device ASR,” GetMobile: Mobile Computing and Communications, vol. 23, no. 4, pp. 5–9, 2020.
  • BibTeX

  @article{vipperla2020learning,
    title = {LEARNING TO LISTEN... ON-DEVICE: Present and future perspectives of on-device ASR},
    author = {Vipperla, Ravichander and Ishtiaq, Samin and Li, Rui and Bhattacharya, Sourav and Leontiadis, Ilias and Lane, Nicholas D},
    journal = {GetMobile: Mobile Computing and Communications},
    volume = {23},
    number = {4},
    pages = {5--9},
    year = {2020},
    publisher = {ACM New York, NY, USA}
  }
  

• M. Zhang et al., “Deep Learning in the Era of Edge Computing: Challenges and Opportunities,” Fog Computing: Theory and Practice, pp. 67–78, 2020.
  • BibTeX

  @article{zhang2020deep,
    title = {Deep Learning in the Era of Edge Computing: Challenges and Opportunities},
    author = {Zhang, Mi and Zhang, Faen and Lane, Nicholas D and Shu, Yuanchao and Zeng, Xiao and Fang, Biyi and Yan, Shen and Xu, Hui},
    journal = {Fog Computing: Theory and Practice},
    pages = {67--78},
    year = {2020},
    publisher = {Wiley Online Library}
  }
  

• A. Mathur, F. Kawsar, N. Berthouze, and N. D. Lane, “Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 7439–7443.
  • BibTeX

  @inproceedings{mathur2020libri,
    title = {Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation},
    author = {Mathur, Akhil and Kawsar, Fahim and Berthouze, Nadia and Lane, Nicholas D},
    booktitle = {ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    pages = {7439--7443},
    year = {2020},
    organization = {IEEE}
  }
  

• V. Kothari, E. Liberis, and N. D. Lane, “The Final Frontier: Deep Learning in Space,” in Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications, 2020, pp. 45–49.
  • BibTeX

  @inproceedings{kothari2020final,
    title = {The Final Frontier: Deep Learning in Space},
    author = {Kothari, Vivek and Liberis, Edgar and Lane, Nicholas D},
    booktitle = {Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications},
    pages = {45--49},
    year = {2020},
    url = {https://arxiv.org/pdf/2001.10362}
  }
  

  • URL
• C. Tong, S. A. Tailor, and N. D. Lane, “Are Accelerometers for Activity Recognition a Dead-end?,” in Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications, 2020, pp. 39–44.
  • BibTeX

  @inproceedings{tong2020accelerometers,
    title = {Are Accelerometers for Activity Recognition a Dead-end?},
    author = {Tong, Catherine and Tailor, Shyam A and Lane, Nicholas D},
    booktitle = {Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications},
    pages = {39--44},
    year = {2020},
    url = {https://arxiv.org/pdf/2001.08111}
  }
  

  • URL
• M. S. Abdelfattah, L. Dudziak, T. C. P. Chau, R. Lee, H. Kim, and N. D. Lane, “Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search,” in FPGA ’20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020, p. 315.
  • BibTeX

  @inproceedings{abdelfattah2020codesign,
    author = {Abdelfattah, Mohamed S. and Dudziak, Lukasz and Chau, Thomas C. P. and Lee, Royson and Kim, Hyeji and Lane, Nicholas D.},
    editor = {Neuendorffer, Stephen and Shannon, Lesley},
    title = {Codesign-NAS: Automatic {FPGA/CNN} Codesign Using Neural Architecture
                   Search},
    booktitle = {{FPGA} '20: The 2020 {ACM/SIGDA} International Symposium on Field-Programmable
                   Gate Arrays},
    pages = {315},
    publisher = {{ACM}},
    year = {2020},
    url = {https://doi.org/10.1145/3373087.3375334}
  }
  

  • URL
• M. S. Abdelfattah, Ł. Dudziak, T. Chau, R. Lee, H. Kim, and N. D. Lane, “Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator,” Design Automation Conference, 2020.
  • BibTeX

  @article{abdelfattah2020best,
    title = {Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator},
    author = {Abdelfattah, Mohamed S and Dudziak, {\L}ukasz and Chau, Thomas and Lee, Royson and Kim, Hyeji and Lane, Nicholas D},
    booktitle = {Design Automation Conference},
    year = {2020},
    url = {https://arxiv.org/pdf/2002.05022}
  }
  

  • URL
• N. Berthouze et al., “Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions,” arXiv preprint arXiv:2001.07739, 2020.
  • BibTeX

  @article{berthouze2020emopain,
    title = {Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions},
    author = {Berthouze, Nadia and Valstar, Michel and Williams, Amanda and Egede, Joy and Olugbade, Temitayo and Wang, Chongyang and Meng, Hongyin and Aung, Min and Lane, Nicholas and Song, Siyang},
    journal = {arXiv preprint arXiv:2001.07739},
    year = {2020},
    url = {https://arxiv.org/pdf/2001.07739}
  }
  

  • URL
• S. A. Osia et al., “A hybrid deep learning architecture for privacy-preserving mobile analytics,” IEEE Internet of Things Journal, vol. 7, no. 5, pp. 4505–4518, 2020.
  • BibTeX

  @article{osia2020hybrid,
    title = {A hybrid deep learning architecture for privacy-preserving mobile analytics},
    author = {Osia, Seyed Ali and Shamsabadi, Ali Shahin and Sajadmanesh, Sina and Taheri, Ali and Katevas, Kleomenis and Rabiee, Hamid R and Lane, Nicholas D and Haddadi, Hamed},
    journal = {IEEE Internet of Things Journal},
    volume = {7},
    number = {5},
    pages = {4505--4518},
    year = {2020},
    publisher = {IEEE},
    url = {https://arxiv.org/pdf/1703.02952}
  }
  

  • URL

2019

• A. Mathur, A. Isopoussu, F. Kawsar, N. B. Berthouze, and N. D. Lane, “Flexadapt: Flexible cycle-consistent adversarial domain adaptation,” in 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, pp. 896–901.
  • BibTeX

  @inproceedings{mathur2019flexadapt,
    title = {Flexadapt: Flexible cycle-consistent adversarial domain adaptation},
    author = {Mathur, Akhil and Isopoussu, Anton and Kawsar, Fahim and Berthouze, Nadia B and Lane, Nicholas D},
    booktitle = {2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)},
    pages = {896--901},
    year = {2019},
    organization = {IEEE},
    url = {https://ieeexplore.ieee.org/abstract/document/8999042/}
  }
  

  • URL
• R. Lee, S. I. Venieris, L. Dudziak, S. Bhattacharya, and N. D. Lane, “Mobisr: Efficient on-device super-resolution through heterogeneous mobile processors,” in The 25th Annual International Conference on Mobile Computing and Networking, 2019, pp. 1–16.
  • BibTeX

  @inproceedings{lee2019mobisr,
    title = {Mobisr: Efficient on-device super-resolution through heterogeneous mobile processors},
    author = {Lee, Royson and Venieris, Stylianos I and Dudziak, Lukasz and Bhattacharya, Sourav and Lane, Nicholas D},
    booktitle = {The 25th Annual International Conference on Mobile Computing and Networking},
    pages = {1--16},
    year = {2019},
    url = {https://arxiv.org/pdf/1908.07985}
  }
  

  • URL
• E. Liberis and N. D. Lane, “Neural networks on microcontrollers: saving memory at inference via operator reordering,” arXiv preprint arXiv:1910.05110, 2019.
  • BibTeX

  @article{liberis2019neural,
    title = {Neural networks on microcontrollers: saving memory at inference via operator reordering},
    author = {Liberis, Edgar and Lane, Nicholas D},
    journal = {arXiv preprint arXiv:1910.05110},
    year = {2019},
    url = {https://arxiv.org/pdf/1910.05110}
  }
  

  • URL
• C. Tong, M. Craner, M. Vegreville, and N. D. Lane, “Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, no. 3, pp. 1–19, 2019.
  • BibTeX

  @article{tong2019tracking,
    title = {Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices},
    author = {Tong, Catherine and Craner, Matthew and Vegreville, Matthieu and Lane, Nicholas D},
    journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
    volume = {3},
    number = {3},
    pages = {1--19},
    year = {2019},
    publisher = {ACM New York, NY, USA},
    url = {https://dl.acm.org/doi/pdf/10.1145/3351264?casa_token=ZB7RjkupaloAAAAA:mNkLhW1BVs_x7uVXo2PnfTAFPN4k1MJ3EVea3ScpVEFI0GaTgrFkKVhJD2auocJ1V1kShw-6oi7uQA}
  }
  

  • URL
• A. Mathur, A. Isopoussu, N. Berthouze, N. D. Lane, and F. Kawsar, “Unsupervised domain adaptation for robust sensory systems,” in Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019, pp. 505–509.
  • BibTeX

  @inproceedings{mathur2019unsupervised,
    title = {Unsupervised domain adaptation for robust sensory systems},
    author = {Mathur, Akhil and Isopoussu, Anton and Berthouze, Nadia and Lane, Nicholas D and Kawsar, Fahim},
    booktitle = {Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers},
    pages = {505--509},
    year = {2019},
    url = {https://dl.acm.org/doi/pdf/10.1145/3341162.3345609?casa_token=g3idGGGSl1oAAAAA:LUEzg1UJEA7iqeXeU1r56g5MOVT70HtRqpNi_Y8XdtKXqomb84iCQZlZxHxvkcFbhCNbV8fbm6gANQ}
  }
  

  • URL
• C. Wang, T. A. Olugbade, A. Mathur, A. C. De C. Williams, N. D. Lane, and N. Bianchi-Berthouze, “Recurrent network based automatic detection of chronic pain protective behavior using mocap and semg data,” in Proceedings of the 23rd International Symposium on Wearable Computers, 2019, pp. 225–230.
  • BibTeX

  @inproceedings{wang2019recurrent,
    title = {Recurrent network based automatic detection of chronic pain protective behavior using mocap and semg data},
    author = {Wang, Chongyang and Olugbade, Temitayo A and Mathur, Akhil and De C. Williams, Amanda C and Lane, Nicholas D and Bianchi-Berthouze, Nadia},
    booktitle = {Proceedings of the 23rd International Symposium on Wearable Computers},
    pages = {225--230},
    year = {2019},
    url = {https://dl.acm.org/doi/pdf/10.1145/3341163.3347728?casa_token=8kC52MgJl5IAAAAA:S6T8nCNFAJXUqgWM8-vjLWLXZ87cLMGKaao1hSJdLn1pOZ3BQEhcXFojAitnew3KFMZ_8NNcF3ZySw}
  }
  

  • URL
• C. Wang, M. Peng, T. A. Olugbade, N. D. Lane, A. C. de C. Williams, and N. Bianchi-Berthouze, “Learning temporal and bodily attention in protective movement behavior detection,” in 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2019, pp. 324–330.
  • BibTeX

  @inproceedings{wang2019learning,
    title = {Learning temporal and bodily attention in protective movement behavior detection},
    author = {Wang, Chongyang and Peng, Min and Olugbade, Temitayo A and Lane, Nicholas D and Williams, Amanda C de C and Bianchi-Berthouze, Nadia},
    booktitle = {2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)},
    pages = {324--330},
    year = {2019},
    organization = {IEEE},
    url = {https://ieeexplore.ieee.org/abstract/document/8925084/}
  }
  

  • URL
• Ł. Dudziak, M. S. Abdelfattah, R. Vipperla, S. Laskaridis, and N. D. Lane, “Shrinkml: End-to-end asr model compression using reinforcement learning,” arXiv preprint arXiv:1907.03540, 2019.
  • BibTeX

  @article{dudziak2019shrinkml,
    title = {Shrinkml: End-to-end asr model compression using reinforcement learning},
    author = {Dudziak, {\L}ukasz and Abdelfattah, Mohamed S and Vipperla, Ravichander and Laskaridis, Stefanos and Lane, Nicholas D},
    journal = {arXiv preprint arXiv:1907.03540},
    year = {2019},
    url = {https://arxiv.org/pdf/1907.03540}
  }
  

  • URL
• M. Almeida, S. Laskaridis, I. Leontiadis, S. I. Venieris, and N. D. Lane, “EmBench: Quantifying performance variations of deep neural networks across modern commodity devices,” in The 3rd International Workshop on Deep Learning for Mobile Systems and Applications, 2019, pp. 1–6.
  • BibTeX

  @inproceedings{almeida2019embench,
    title = {EmBench: Quantifying performance variations of deep neural networks across modern commodity devices},
    author = {Almeida, Mario and Laskaridis, Stefanos and Leontiadis, Ilias and Venieris, Stylianos I and Lane, Nicholas D},
    booktitle = {The 3rd International Workshop on Deep Learning for Mobile Systems and Applications},
    pages = {1--6},
    year = {2019},
    url = {https://arxiv.org/pdf/1905.07346}
  }
  

  • URL
• A. Mathur, A. Isopoussu, F. Kawsar, N. Berthouze, and N. D. Lane, “Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems,” Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2019), 2019.
  • BibTeX

  @article{mathur2019mic2mic,
    title = {Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems},
    author = {Mathur, Akhil and Isopoussu, Anton and Kawsar, Fahim and Berthouze, Nadia and Lane, Nicholas D},
    journal = {Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2019)},
    year = {2019},
    url = {https://ieeexplore.ieee.org/iel7/8720865/8732488/08732945.pdf}
  }
  

  • URL
• A. Mathur, F. Kawsar, N. Berthouze, and N. D. Lane, “A Vision for Adaptive and Generalizable Audio-Sensing Systems,” in Proceedings of the Fourth International Workshop on Social Sensing, 2019, pp. 43–43.
  • BibTeX

  @inproceedings{mathur2019vision,
    title = {A Vision for Adaptive and Generalizable Audio-Sensing Systems},
    author = {Mathur, Akhil and Kawsar, Fahim and Berthouze, Nadia and Lane, Nicholas D},
    booktitle = {Proceedings of the Fourth International Workshop on Social Sensing},
    pages = {43--43},
    year = {2019},
    url = {https://dl.acm.org/doi/pdf/10.1145/3313294.3313936}
  }
  

  • URL
• C. Wang, T. A. Olugbade, A. Mathur, A. C. D. C. Williams, N. D. Lane, and N. Bianchi-Berthouze, “Automatic detection of protective behavior in chronic pain physical rehabilitation: A recurrent neural network approach,” arXiv preprint arXiv:1902.08990, 2019.
  • BibTeX

  @article{wang2019automatic,
    title = {Automatic detection of protective behavior in chronic pain physical rehabilitation: A recurrent neural network approach},
    author = {Wang, Chongyang and Olugbade, Temitayo A and Mathur, Akhil and Williams, Amanda C De C and Lane, Nicholas D and Bianchi-Berthouze, Nadia},
    journal = {arXiv preprint arXiv:1902.08990},
    year = {2019},
    url = {https://arxiv.org/pdf/1902.08990}
  }
  

  • URL
• A. Mathur, A. Isopoussu, F. Kawsar, R. Smith, N. Berthouze, and N. D. Lane, “Towards the Design and Evaluation of Robust Audio-Sensing Systems,” in Human Activity Sensing, Springer, 2019, pp. 47–57.
  • BibTeX

  @incollection{mathur2019towards,
    title = {Towards the Design and Evaluation of Robust Audio-Sensing Systems},
    author = {Mathur, Akhil and Isopoussu, Anton and Kawsar, Fahim and Smith, Robert and Berthouze, Nadia and Lane, Nicholas D},
    booktitle = {Human Activity Sensing},
    pages = {47--57},
    year = {2019},
    publisher = {Springer},
    url = {https://link.springer.com/content/pdf/10.1007/978-3-030-13001-5.pdf#page=57}
  }
  

  • URL
• M. Alizadeh, J. Fernandez-Marques, N. D. Lane, and Y. Gal, “An Empirical study of Binary Neural Networks’ Optimisation,” International Conference on Learning Representations, 2019.
  • BibTeX

  @article{alizadeh2018empirical,
    title = {An Empirical study of Binary Neural Networks' Optimisation},
    author = {Alizadeh, Milad and Fernandez-Marques, Javier and Lane, Nicholas D and Gal, Yarin},
    booktitle = {International Conference on Learning Representations},
    year = {2019},
    url = {https://openreview.net/forum?id=rJfUCoR5KX}
  }
  

  • URL

2018

• J. Xu et al., “Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems,” in 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2018, pp. 281–289.
  • BibTeX

  @inproceedings{xu2018embracing,
    title = {Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems},
    author = {Xu, Jingao and Yang, Zheng and Chen, Hengjie and Liu, Yunhao and Zhou, Xiancun and Li, Jianbo and Lane, Nicholas},
    booktitle = {2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)},
    pages = {281--289},
    year = {2018},
    organization = {IEEE},
    url = {https://ieeexplore.ieee.org/abstract/document/8567572/}
  }
  

  • URL
• S. Bhattacharya et al., “Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices,” in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018, pp. 666–669.
  • BibTeX

  @inproceedings{bhattacharya2018monitoring,
    title = {Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices},
    author = {Bhattacharya, Sourav and Ramos, Alberto Gil CP and Kawsar, Fahim and Lane, Nicholas D and Gionta, Lynn M and Manidis, Joanne and Silvesti, Greg and Vegreville, Mathieu},
    booktitle = {Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers},
    pages = {666--669},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3267682}
  }
  

  • URL
• A. Mathur, A. Isopoussu, F. Kawsar, R. Smith, N. D. Lane, and N. Berthouze, “On Robustness of Cloud Speech APIs: An Early Characterization,” in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018, pp. 1409–1413.
  • BibTeX

  @inproceedings{mathur2018robustness,
    title = {On Robustness of Cloud Speech APIs: An Early Characterization},
    author = {Mathur, Akhil and Isopoussu, Anton and Kawsar, Fahim and Smith, Robert and Lane, Nicholas D and Berthouze, Nadia},
    booktitle = {Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers},
    pages = {1409--1413},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3267505}
  }
  

  • URL
• V. W.-S. Tseng, S. Bhattacharya, J. Fernandez-Marques, M. Alizadeh, C. Tong, and N. D. Lane, “Deterministic binary filters for convolutional neural networks,” in Proceedings of the 27th International Joint Conference on Artificial Intelligence, 2018, pp. 2739–2747.
  • BibTeX

  @inproceedings{tseng2018deterministic,
    title = {Deterministic binary filters for convolutional neural networks},
    author = {Tseng, Vincent W-S and Bhattacharya, Sourav and Fernandez-Marques, Javier and Alizadeh, Milad and Tong, Catherine and Lane, Nicholas D},
    booktitle = {Proceedings of the 27th International Joint Conference on Artificial Intelligence},
    pages = {2739--2747},
    year = {2018},
    organization = {AAAI Press},
    url = {https://dl.acm.org/citation.cfm?id=3305041}
  }
  

  • URL
• J. Fernandez-Marques, V. W.-S. Tseng, S. Bhattachara, and N. D. Lane, “On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices,” in Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018, pp. 13–18.
  • BibTeX

  @inproceedings{fernandez2018fly,
    title = {On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices},
    author = {Fernandez-Marques, Javier and Tseng, Vincent W-S and Bhattachara, Sourav and Lane, Nicholas D},
    booktitle = {Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning},
    pages = {13--18},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3212731}
  }
  

  • URL
• J. Fernandez-Marques, V. W.-S. Tseng, S. Bhattachara, and N. D. Lane, “Deterministic binary filters for keyword spotting applications,” in Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, 2018, pp. 529–529.
  • BibTeX

  @inproceedings{fernandez2018deterministic,
    title = {Deterministic binary filters for keyword spotting applications},
    author = {Fernandez-Marques, Javier and Tseng, Vincent W-S and Bhattachara, Sourav and Lane, Nicholas D},
    booktitle = {Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services},
    pages = {529--529},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3210822}
  }
  

  • URL
• M. Alizadeh and N. D. Lane, “Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices,” in Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, 2018, pp. 528–528.
  • BibTeX

  @inproceedings{alizadeh2018using,
    title = {Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices},
    author = {Alizadeh, Milad and Lane, Nicholas D},
    booktitle = {Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services},
    pages = {528--528},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3210821}
  }
  

  • URL
• C. Tong et al., “Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data,” in Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, 2018, pp. 530–530.
  • BibTeX

  @inproceedings{tong2018inference,
    title = {Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data},
    author = {Tong, Catherine and Harari, Gabriella M and Chieh, Angela and Bellahsen, Otmane and Vegreville, Matthieu and Roitmann, Eva and Lane, Nicholas D},
    booktitle = {Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services},
    pages = {530--530},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3210823}
  }
  

  • URL
• P. Veličković et al., “Cross-modal recurrent models for weight objective prediction from multimodal time-series data,” in Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018, pp. 178–186.
  • BibTeX

  @inproceedings{velivckovic2018cross,
    title = {Cross-modal recurrent models for weight objective prediction from multimodal time-series data},
    author = {Veli{\v{c}}kovi{\'c}, Petar and Karazija, Laurynas and Lane, Nicholas D and Bhattacharya, Sourav and Liberis, Edgar and Li{\`o}, Pietro and Chieh, Angela and Bellahsen, Otmane and Vegreville, Matthieu},
    booktitle = {Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare},
    pages = {178--186},
    year = {2018},
    organization = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3240937}
  }
  

  • URL
• N. D. Lane and P. Warden, “The Deep (Learning) Transformation of Mobile and Embedded Computing,” Computer, vol. 51, no. 5, pp. 12–16, 2018.
  • BibTeX

  @article{lane2018deep,
    title = {The Deep (Learning) Transformation of Mobile and Embedded Computing},
    author = {Lane, Nicholas D and Warden, Pete},
    journal = {Computer},
    volume = {51},
    number = {5},
    pages = {12--16},
    year = {2018},
    publisher = {IEEE},
    url = {https://ieeexplore.ieee.org/abstract/document/8364435/}
  }
  

  • URL
• A. Mathur et al., “Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices,” in Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018, pp. 200–211.
  • BibTeX

  @inproceedings{mathur2018using,
    title = {Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices},
    author = {Mathur, Akhil and Zhang, Tianlin and Bhattacharya, Sourav and Veli{\v{c}}kovi{\'c}, Petar and Joffe, Leonid and Lane, Nicholas D and Kawsar, Fahim and Li{\'o}, Pietro},
    booktitle = {Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks},
    pages = {200--211},
    year = {2018},
    organization = {IEEE Press},
    url = {https://dl.acm.org/citation.cfm?id=3207994}
  }
  

  • URL
• V. Radu et al., “Multimodal deep learning for activity and context recognition,” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 4, p. 157, 2018.
  • BibTeX

  @article{radu2018multimodal,
    title = {Multimodal deep learning for activity and context recognition},
    author = {Radu, Valentin and Tong, Catherine and Bhattacharya, Sourav and Lane, Nicholas D and Mascolo, Cecilia and Marina, Mahesh K and Kawsar, Fahim},
    journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
    volume = {1},
    number = {4},
    pages = {157},
    year = {2018},
    publisher = {ACM},
    url = {https://dl.acm.org/citation.cfm?id=3161174}
  }
  

  • URL
• J. Fernandez-Marques, W.-S. T. Vincent, S. Bhattachara, and N. D. Lane, “BinaryCmd: Keyword Spotting with deterministic binary basis.” SysML, 2018.
  • BibTeX

  @misc{fernandez2018binarycmd,
    title = {BinaryCmd: Keyword Spotting with deterministic binary basis},
    author = {Fernandez-Marques, Javier and Vincent, W-S Tseng and Bhattachara, Sourav and Lane, Nicholas D},
    year = {2018},
    publisher = {SysML},
    url = {https://mlsys.org/Conferences/2019/doc/2018/183.pdf}
  }
  

  • URL