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ORCIDNicholas D. Lane
Nicholas Donald Lane
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[j41]Stefanos Laskaridis
, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane:
The Future of Consumer Edge-AI Computing. IEEE Pervasive Comput. 23(3): 21-30 (2024)- [j40]Alessandro Gobbetti, Martin Gjoreski, Hristijan Gjoreski, Nicholas D. Lane, Marc Langheinrich:
FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables. IEEE Pervasive Comput. 23(4): 40-49 (2024) - [j39]Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. 23(3): 2367-2381 (2024) - [c147]Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane:
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR 2024 - [c146]Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo:
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge. ICML 2024 - [c145]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML 2024 - [c144]Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen:
Towards Neural Architecture Search through Hierarchical Generative Modeling. ICML 2024 - [c143]Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane:
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. NeurIPS 2024 - [c142]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV 2024: 1485-1494 - [e7]Weisong Shi, Deepak Ganesan, Nicholas D. Lane:
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2024, Washington D.C., DC, USA, November 18-22, 2024. ACM 2024 [contents] - [i106]Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen:
Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR abs/2402.05968 (2024) - [i105]Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane:
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR abs/2402.10191 (2024) - [i104]Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang:
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models. CoRR abs/2403.04529 (2024) - [i103]Anna Vaughan, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, J. Scott Hosking, Richard E. Turner:
Aardvark Weather: end-to-end data-driven weather forecasting. CoRR abs/2404.00411 (2024) - [i102]Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane:
Attacks on Third-Party APIs of Large Language Models. CoRR abs/2404.16891 (2024) - [i101]Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane:
The Future of Large Language Model Pre-training is Federated. CoRR abs/2405.10853 (2024) - [i100]Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane:
Worldwide Federated Training of Language Models. CoRR abs/2405.14446 (2024) - [i99]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR abs/2405.14791 (2024) - [i98]Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane:
Sheaf HyperNetworks for Personalized Federated Learning. CoRR abs/2405.20882 (2024) - [i97]Bill Marino, Preslav Aleksandrov, Carwyn Rahman, Yulu Pi, Bill Shen, Rui-jie Yew, Nicholas D. Lane:
Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance. CoRR abs/2406.14758 (2024) - [i96]Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane:
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR abs/2406.16810 (2024) - [i95]Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR abs/2407.00031 (2024) - [i94]Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu:
Small Language Models: Survey, Measurements, and Insights. CoRR abs/2409.15790 (2024) - [i93]Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane:
DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR abs/2410.05021 (2024) - [i92]Grace Kim, Luca Powell, Filip Svoboda, Nicholas D. Lane:
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. CoRR abs/2411.00263 (2024) - [i91]Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane:
Photon: Federated LLM Pre-Training. CoRR abs/2411.02908 (2024) - [i90]Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello, Pablo Gómez, Gabriele Meoni, Filip Svoboda, Nicholas D. Lane:
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites. CoRR abs/2411.17831 (2024) - 2023
- [j38]Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane:
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer 56(3): 70-79 (2023) - [j37]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24: 129:1-129:23 (2023) - [j36]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:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j35]Maximilian Kapsecker, Daniel N. Nugraha, Christoph Weinhuber, Nicholas D. Lane, Stephan M. Jonas:
Federated Learning with Swift: An Extension of Flower and Performance Evaluation. SoftwareX 24: 101533 (2023) - [j34]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. 28(6): 92:1-92:31 (2023) - [c141]Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen:
Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI 2023: 10453-10463 - [c140]Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane:
Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. EuroMLSys@EuroSys 2023: 56-63 - [c139]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys 2023: 131-139 - [c138]Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane:
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV 2023: 16418-16427 - [c137]Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane:
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO 2023: 353-366 - [c136]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. NeurIPS 2023 - [c135]Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lum Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth. TML4H 2023: 147-162 - [c134]Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi:
FedVal: Different good or different bad in federated learning. USENIX Security Symposium 2023: 6365-6380 - [c133]Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi:
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring 2023: 1-7 - [c132]Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió:
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) 2023: 1177-1181 - [i89]Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò:
A Federated Learning Benchmark for Drug-Target Interaction. CoRR abs/2302.07684 (2023) - [i88]Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane:
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates. CoRR abs/2304.07537 (2023) - [i87]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning reduce the need for Personalisation? CoRR abs/2305.02728 (2023) - [i86]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Efficient Vertical Federated Learning with Secure Aggregation. CoRR abs/2305.11236 (2023) - [i85]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville:
Privacy in Multimodal Federated Human Activity Recognition. CoRR abs/2305.12134 (2023) - [i84]Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane:
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR abs/2305.16794 (2023) - [i83]Javier Fernández-Marqués, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah:
Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR abs/2305.18334 (2023) - [i82]Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi:
FedVal: Different good or different bad in federated learning. CoRR abs/2306.04040 (2023) - [i81]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023) - [i80]Lekang Jiang, Filip Svoboda, Nicholas D. Lane:
FDAPT: Federated Domain-adaptive Pre-training for Language Models. CoRR abs/2307.06933 (2023) - [i79]Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane:
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR abs/2307.07393 (2023) - [i78]Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo:
TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR abs/2307.09988 (2023) - [i77]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR abs/2307.13412 (2023) - [i76]Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
FedL2P: Federated Learning to Personalize. CoRR abs/2310.02420 (2023) - [i75]Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane:
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR abs/2310.11096 (2023) - [i74]Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen:
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR abs/2311.18451 (2023) - 2022
- [j33]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. ACM Comput. Surv. 54(8): 169:1-169:30 (2022) - [j32]Qingqing Cao, Prerna Khanna, Nicholas D. Lane, Aruna Balasubramanian:
MobiVQA: Efficient On-Device Visual Question Answering. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 44:1-44:23 (2022) - [j31]Edgar Liberis, Nicholas D. Lane:
Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 171:1-171:19 (2022) - [j30]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21(6): 71:1-71:24 (2022) - [j29]Danyang Li, Jingao Xu, Zheng Yang, Chenshu Wu, Jianbo Li, Nicholas D. Lane:
Wireless Localization with Spatial-Temporal Robust Fingerprints. ACM Trans. Sens. Networks 18(1): 15:1-15:23 (2022) - [j28]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. 33(11): 3153-3164 (2022) - [c131]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Multi-Exit Semantic Segmentation Networks. ECCV (21) 2022: 330-349 - [c130]Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. ECCV (31) 2022: 506-522 - [c129]Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane:
Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys 2022: 54-63 - [c128]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane:
Protea: client profiling within federated systems using flower. FedEdge@MobiCom 2022: 1-6 - [c127]Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP 2022: 7227-7231 - [c126]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. ICLR 2022 - [c125]Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR 2022 - [c124]Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Donald Lane, Sourav Bhattacharya:
Conditioning Sequence-to-sequence Networks with Learned Activations. ICLR 2022 - [c123]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane:
Do We Need Anisotropic Graph Neural Networks? ICLR 2022 - [c122]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022: 3809-3813 - [c121]Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO 2022: 599-615 - [c120]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Adaptable mobile vision systems through multi-exit neural networks. MobiSys 2022: 575-576 - [c119]Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah:
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS 2022 - [c118]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT 2022: 115-122 - [i73]Milad Alizadeh, Shyam A. Tailor, Luisa M. Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal:
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients. CoRR abs/2202.08132 (2022) - [i72]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? CoRR abs/2204.02804 (2022) - [i71]Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane:
Secure Aggregation for Federated Learning in Flower. CoRR abs/2205.06117 (2022) - [i70]Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane:
Multi-DNN Accelerators for Next-Generation AI Systems. CoRR abs/2205.09376 (2022) - [i69]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. CoRR abs/2207.01053 (2022) - [i68]Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Federated Self-supervised Learning for Video Understanding. CoRR abs/2207.01975 (2022) - [i67]Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR abs/2208.02507 (2022) - [i66]Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah:
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR abs/2209.09570 (2022) - [i65]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR abs/2209.13443 (2022) - [i64]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane:
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR abs/2209.15575 (2022) - [i63]Thomas Chun-Pong Chau, Lukasz Dudziak, Hongkai Wen, Nicholas Donald Lane, Mohamed S. Abdelfattah:
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. CoRR abs/2210.07271 (2022) - [i62]Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane:
The Future of Consumer Edge-AI Computing. CoRR abs/2210.10514 (2022) - [i61]Edgar Liberis, Nicholas D. Lane:
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution. CoRR abs/2211.17246 (2022) - [i60]Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR abs/2212.07886 (2022) - [i59]Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR abs/2212.09501 (2022) - 2021
- [j27]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Chronic Pain Protective Behavior Detection with Deep Learning. ACM Trans. Comput. Heal. 2(3): 23:1-23:24 (2021) - [j26]Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 81:1-81:27 (2021) - [j25]Catherine Tong, Jinchen Ge, Nicholas D. Lane:
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 180:1-180:23 (2021) - [j24]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
Can You See It?: Good, So We Can Sense It! GetMobile Mob. Comput. Commun. 25(2): 38-42 (2021) - [c117]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. ASRU 2021: 138-145 - [c116]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. BMVC 2021: 131 - [c115]Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane:
Secure aggregation for federated learning in flower. DistributedML@CoNEXT 2021: 8-14 - [c114]Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane:
μNAS: Constrained Neural Architecture Search for Microcontrollers. EuroMLSys@EuroSys 2021: 70-79 - [c113]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM 2021: 165-175 - [c112]Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen:
Temporal Kernel Consistency for Blind Video Super-Resolution. ICCVW 2021: 3470-3479 - [c111]Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane:
Zero-Cost Proxies for Lightweight NAS. ICLR 2021 - [c110]Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane:
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR 2021 - [c109]Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. ICLR 2021 - [c108]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference 2021: 658-672 - [c107]Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane:
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys 2021: 1-6 - [c106]Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane:
Are Mobile DNN Accelerators Accelerating DNNs? EMDL@MobiSys 2021: 7-12 - [c105]Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS 2021: 12876-12889 - [c104]Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales:
A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks 2021 - [c103]Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile 2021: 15-21 - [i58]Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò:
Predicting Patient Outcomes with Graph Representation Learning. CoRR abs/2101.03940 (2021) - [i57]Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane:
Zero-Cost Proxies for Lightweight NAS. CoRR abs/2101.08134 (2021) - [i56]Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR abs/2102.01393 (2021) - [i55]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2102.07627 (2021) - [i54]Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR abs/2102.13451 (2021) - [i53]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR abs/2103.05600 (2021) - [i52]Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane:
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. CoRR abs/2104.01481 (2021) - [i51]Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. CoRR abs/2104.03042 (2021) - [i50]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR abs/2104.09949 (2021) - [i49]Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane:
End-to-End Speech Recognition from Federated Acoustic Models. CoRR abs/2104.14297 (2021) - [i48]Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane:
Multi-Exit Semantic Segmentation Networks. CoRR abs/2106.03527 (2021) - [i47]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. CoRR abs/2106.03727 (2021) - [i46]Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane:
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR abs/2106.05022 (2021) - [i45]Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen:
Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR abs/2106.06799 (2021) - [i44]Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales:
A Channel Coding Benchmark for Meta-Learning. CoRR abs/2107.07579 (2021) - [i43]Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen:
Temporal Kernel Consistency for Blind Video Super-Resolution. CoRR abs/2108.08305 (2021) - [i42]Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze:
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth. CoRR abs/2109.03596 (2021) - [i41]Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane:
Inferring Facing Direction from Voice Signals. CoRR abs/2109.13094 (2021) - [i40]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR abs/2109.13963 (2021) - [i39]Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson:
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - [i38]Edgar Liberis, Nicholas D. Lane:
Differentiable Network Pruning for Microcontrollers. CoRR abs/2110.08350 (2021) - [i37]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. CoRR abs/2110.13859 (2021) - [i36]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR abs/2112.13381 (2021) - 2020
- [j23]Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo:
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 73:1-73:24 (2020) - [j22]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz:
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 87:1-87:29 (2020) - [j21]Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi:
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. IEEE Internet Things J. 7(5): 4505-4518 (2020) - [j20]Nicholas D. Lane:
2020 ACM SIGMOBILE Rockstar Award: Nicholas D. Lane. GetMobile Mob. Comput. Commun. 24(2): 17 (2020) - [c102]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. DistributedML@CoNEXT 2020: 34-41 - [c101]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC 2020: 1-6 - [c100]Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) 2020: 85-102 - [c99]Joy O. Egede, Siyang Song, Temitayo A. Olugbade, Chongyang Wang, Amanda C. de C. Williams, Hongying Meng, Min S. Hane Aung, Nicholas D. Lane, Michel F. Valstar, Nadia Bianchi-Berthouze:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. FG 2020: 849-856 - [c98]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA 2020: 315 - [c97]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP 2020: 7439-7443 - [c96]Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane:
HAPI: Hardware-Aware Progressive Inference. ICCAD 2020: 91:1-91:9 - [c95]Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid:
Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. INTERSPEECH 2020: 329-333 - [c94]Akhil Mathur, Nadia Berthouze, Nicholas D. Lane:
Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. INTERSPEECH 2020: 1271-1275 - [c93]Titouan Parcollet, Xinchi Qiu, Nicholas D. Lane:
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. INTERSPEECH 2020: 1678-1682 - [c92]Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane:
Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH 2020: 3361-3365 - [c91]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems. INTERSPEECH 2020: 3565-3569 - [c90]Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom 2020: 37:1-37:15 - [c89]Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. NeurIPS 2020 - [c88]Catherine Tong, Shyam A. Tailor, Nicholas D. Lane:
Are Accelerometers for Activity Recognition a Dead-end? HotMobile 2020: 39-44 - [c87]Vivek Kothari, Edgar Liberis, Nicholas D. Lane:
The Final Frontier: Deep Learning in Space. HotMobile 2020: 45-49 - [i35]Joy Egede, Temitayo A. Olugbade, Chongyang Wang, Siyang Song, Nadia Berthouze, Michel F. Valstar, Amanda C. de C. Williams, Hongying Meng, Min Hane Aung, Nicholas D. Lane:
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. CoRR abs/2001.07739 (2020) - [i34]Catherine Tong, Shyam A. Tailor, Nicholas D. Lane:
Are Accelerometers for Activity Recognition a Dead-end? CoRR abs/2001.08111 (2020) - [i33]Vivek Kothari, Edgar Liberis, Nicholas D. Lane:
The Final Frontier: Deep Learning in Space. CoRR abs/2001.10362 (2020) - [i32]Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane:
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR abs/2002.05022 (2020) - [i31]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. CoRR abs/2003.12425 (2020) - [i30]Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid:
Quaternion Neural Networks for Multi-channel Distant Speech Recognition. CoRR abs/2005.08566 (2020) - [i29]Yan Gao, Titouan Parcollet, Nicholas D. Lane:
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. CoRR abs/2005.09310 (2020) - [i28]HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz:
IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition. CoRR abs/2006.05675 (2020) - [i27]Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal:
Single Shot Structured Pruning Before Training. CoRR abs/2007.00389 (2020) - [i26]Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane:
Journey Towards Tiny Perceptual Super-Resolution. CoRR abs/2007.04356 (2020) - [i25]Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane:
BRP-NAS: Prediction-based NAS using GCNs. CoRR abs/2007.08668 (2020) - [i24]Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane:
Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020) - [i23]Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane:
Iterative Compression of End-to-End ASR Model using AutoML. CoRR abs/2008.02897 (2020) - [i22]Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane:
HAPI: Hardware-Aware Progressive Inference. CoRR abs/2008.03997 (2020) - [i21]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems. CoRR abs/2008.04574 (2020) - [i20]Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR abs/2008.05000 (2020) - [i19]Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR abs/2008.06402 (2020) - [i18]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR abs/2009.02814 (2020) - [i17]Royson Lee, Stylianos I. Venieris, Nicholas D. Lane:
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. CoRR abs/2010.05838 (2020) - [i16]Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2010.06537 (2020) - [i15]Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu:
Deep Learning in the Era of Edge Computing: Challenges and Opportunities. CoRR abs/2010.08861 (2020) - [i14]Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane:
μNAS: Constrained Neural Architecture Search for Microcontrollers. CoRR abs/2010.14246 (2020) - [i13]Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. CoRR abs/2011.01776 (2020)
2010 – 2019
- 2019
- [j19]Catherine Tong, Matthew Craner, Matthieu Vegreville, Nicholas D. Lane:
Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 106:1-106:19 (2019) - [j18]Nigel Davies, Nicholas D. Lane, Mirco Musolesi:
Pervasive Data Science and AI. IEEE Pervasive Comput. 18(3): 7-8 (2019) - [j17]Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane:
Learning to Listen... On-Device: Present and future perspectives of on-device ASR. GetMobile Mob. Comput. Commun. 23(4): 5-9 (2019) - [c86]Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. ACII Workshops 2019: 324-330 - [c85]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek 2019: 43 - [c84]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. UbiComp 2019: 225-230 - [c83]Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar:
Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct 2019: 505-509 - [c82]Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal:
An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) 2019 - [c81]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane:
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA 2019: 896-901 - [c80]Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane:
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. INTERSPEECH 2019: 2235-2239 - [c79]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems. IPSN 2019: 169-180 - [c78]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 54:1-54:16 - [c77]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 90:1-90:3 - [p1]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane:
Towards the Design and Evaluation of Robust Audio-Sensing Systems. Human Activity Sensing 2019: 47-57 - [e6]Katayoun Farrahi, Robert Harle, Nicholas D. Lane:
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, UK, September 09-13, 2019. ACM 2019, ISBN 978-1-4503-6870-4 [contents] - [e5]Robert Harle, Katayoun Farrahi, Nicholas D. Lane:
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. ACM 2019, ISBN 978-1-4503-6869-8 [contents] - [e4]Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6661-8 [contents] - [i12]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. CoRR abs/1902.08990 (2019) - [i11]Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze:
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. CoRR abs/1904.10824 (2019) - [i10]Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR abs/1905.07346 (2019) - [i9]Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane:
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. CoRR abs/1907.03540 (2019) - [i8]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR abs/1908.07985 (2019) - [i7]Edgar Liberis, Nicholas D. Lane:
Neural networks on microcontrollers: saving memory at inference via operator reordering. CoRR abs/1910.05110 (2019) - 2018
- [j16]Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu:
Behavior Recognition Based on Wi-Fi CSI: Part 2. IEEE Commun. Mag. 56(5): 108 (2018) - [j15]Nicholas D. Lane, Pete Warden:
The Deep (Learning) Transformation of Mobile and Embedded Computing. Computer 51(5): 12-16 (2018) - [c76]Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville:
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct 2018: 666-669 - [c75]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze:
On Robustness of Cloud Speech APIs: An Early Characterization. UbiComp/ISWC Adjunct 2018: 1409-1413 - [c74]Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane:
Deterministic Binary Filters for Convolutional Neural Networks. IJCAI 2018: 2739-2747 - [c73]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - [c72]Jingao Xu, Zheng Yang, Hengjie Chen, Yunhao Liu, Xiancun Zhou, Jianbo Li, Nicholas D. Lane:
Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems. MASS 2018: 281-289 - [c71]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys 2018: 13-18 - [c70]Milad Alizadeh, Nicholas D. Lane:
Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. MobiSys 2018: 528 - [c69]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
Deterministic binary filters for keyword spotting applications. MobiSys 2018: 529 - [c68]Catherine Tong, Gabriella M. Harari, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitmann, Nicholas D. Lane:
Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data. MobiSys 2018: 530 - [c67]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. PervasiveHealth 2018: 178-186 - [i6]BingZhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz:
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. CoRR abs/1811.10493 (2018) - 2017
- [j14]Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu:
Behavior Recognition Based on Wi-Fi CSI: Part 1. IEEE Commun. Mag. 55(10): 90 (2017) - [j13]Chenshu Wu, Jingao Xu, Zheng Yang, Nicholas D. Lane, Zuwei Yin:
Gain Without Pain: Accurate WiFi-based Localization using Fingerprint Spatial Gradient. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 29:1-29:19 (2017) - [j12]Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo:
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 50:1-50:19 (2017) - [j11]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - [j10]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c66]Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda:
Density-aware compressive crowdsensing. IPSN 2017: 29-39 - [c65]Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar:
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys 2017: 68-81 - [c64]Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu:
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. MobiSys 2017: 306-318 - [c63]Petar Velickovic, Nicholas D. Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Scaling health analytics to millions without compromising privacy using deep distributed behavior models. PervasiveHealth 2017: 92-100 - [e3]Elizabeth M. Belding, Nicholas D. Lane:
Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, HotMobile 2017, Sonoma, CA, USA, February 21 - 22, 2017. ACM 2017, ISBN 978-1-4503-4907-9 [contents] - [i5]Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi:
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. CoRR abs/1703.02952 (2017) - [i4]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. CoRR abs/1709.08073 (2017) - [i3]Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi:
Privacy-Preserving Deep Inference for Rich User Data on The Cloud. CoRR abs/1710.01727 (2017) - 2016
- [c62]Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct 2016: 185-188 - [c61]Akhil Mathur, Nicholas D. Lane, Fahim Kawsar:
Engagement-aware computing: modelling user engagement from mobile contexts. UbiComp 2016: 622-633 - [c60]Zuwei Yin, Chenshu Wu, Zheng Yang, Nicholas D. Lane, Yunhao Liu:
ppNav: Peer-to-Peer Indoor Navigation for Smartphones. ICPADS 2016: 104-111 - [c59]Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar:
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. IPSN 2016: 21:1-21:12 - [c58]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - [c57]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c56]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar:
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE 2016: 98-107 - [c55]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. MobiCom 2016: 320-333 - [c54]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) 2016: 23 - [c53]Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar:
BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. MobiSys 2016: 97-110 - [c52]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) 2016: 109 - [c51]Sourav Bhattacharya, Nicholas D. Lane:
From smart to deep: Robust activity recognition on smartwatches using deep learning. PerCom Workshops 2016: 1-6 - [c50]Sourav Bhattacharya, Nicholas D. Lane:
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables. SenSys 2016: 176-189 - [c49]Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò:
X-CNN: Cross-modal convolutional neural networks for sparse datasets. SSCI 2016: 1-8 - [e2]Nicholas D. Lane, Xia Zhou, Fahim Kawsar:
Proceedings of the 3rd International on Workshop on Physical Analytics, WPA@MobiSys 2015, Singapore, June 26, 2016. ACM 2016, ISBN 978-1-4503-4328-2 [contents] - [i2]Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò:
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets. CoRR abs/1610.00163 (2016) - 2015
- [j9]Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath, Feng Zhao:
How to the Smash Next Billion Mobile App Bugs? GetMobile Mob. Comput. Commun. 19(1): 34-38 (2015) - [c48]David Chu, Zengbin Zhang, Alec Wolman, Nicholas D. Lane:
Prime: a framework for co-located multi-device apps. UbiComp 2015: 203-214 - [c47]Nicholas D. Lane, Petko Georgiev, Lorena Qendro:
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp 2015: 283-294 - [c46]Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda:
More with less: lowering user burden in mobile crowdsourcing through compressive sensing. UbiComp 2015: 659-670 - [c45]Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Clarence Yan, Nicholas D. Lane, Chunyan Miao:
Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning. ICDM 2015: 71-80 - [c44]Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda:
Cost-aware compressive sensing for networked sensing systems. IPSN 2015: 130-141 - [c43]Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Li, Yong Yu:
SIFT: building an internet of safe things. IPSN 2015: 298-309 - [c42]Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao:
ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. MobiSys 2015: 273-286 - [c41]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys 2015: 7-12 - [c40]Nicholas D. Lane, Petko Georgiev:
Can Deep Learning Revolutionize Mobile Sensing? HotMobile 2015: 117-122 - 2014
- [j8]Nicholas D. Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury:
BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing. Mob. Networks Appl. 19(3): 345-359 (2014) - [j7]Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao:
Community Similarity Networks. Pers. Ubiquitous Comput. 18(2): 355-368 (2014) - [c39]Zhenyu Chen, Yiqiang Chen, Lisha Hu, Shuangquan Wang, Xinlong Jiang, Xiaojuan Ma, Nicholas D. Lane, Andrew T. Campbell:
ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data. UbiComp Adjunct 2014: 23-26 - [c38]Nicholas D. Lane, Li Pengyu, Lin Zhou, Feng Zhao:
Connecting personal-scale sensing and networked community behavior to infer human activities. UbiComp 2014: 595-606 - [c37]Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao:
Caiipa: automated large-scale mobile app testing through contextual fuzzing. MobiCom 2014: 519-530 - [c36]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. SenSys 2014: 295-309 - [e1]Christine Julien, Nicholas D. Lane, Shivakant Mishra:
6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014, Austin, TX, USA, November 6-7, 2014. IEEE 2014, ISBN 978-1-63190-024-2 [contents] - [i1]Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo:
DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. CoRR abs/1409.3206 (2014) - 2013
- [c35]Yohan Chon, Nicholas D. Lane, Yunjong Kim, Feng Zhao, Hojung Cha:
Understanding the coverage and scalability of place-centric crowdsensing. UbiComp 2013: 3-12 - [c34]Nicholas D. Lane, Mirco Musolesi:
2nd ACM international workshop on mobile systems for computational social science. UbiComp (Adjunct Publication) 2013: 875-882 - [c33]Ye Xu, Mu Lin, Hong Lu, Giuseppe Cardone, Nicholas D. Lane, Zhenyu Chen, Andrew T. Campbell, Tanzeem Choudhury:
Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns. ISWC 2013: 69-76 - [c32]Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell:
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 2013: 13-26 - [c31]Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong:
MoodScope: building a mood sensor from smartphone usage patterns. MobiSys 2013: 389-402 - [c30]Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell:
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 2013: 461-462 - [c29]Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong:
MoodScope: building a mood sensor from smartphone usage patterns. MobiSys 2013: 465-466 - [c28]Zhenyu Chen, Mu Lin, Fanglin Chen, Nicholas D. Lane, Giuseppe Cardone, Rui Wang, Tianxing Li, Yiqiang Chen, Tanzeem Choudhury, Andrew T. Campbell:
Unobtrusive sleep monitoring using smartphones. PervasiveHealth 2013: 145-152 - [c27]Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha:
Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities. SenSys 2013: 7:1-7:14 - 2012
- [j6]Nicholas D. Lane:
Community-Aware Smartphone Sensing Systems. IEEE Internet Comput. 16(3): 60-64 (2012) - [c26]Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury:
Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity. AAAI 2012: 851-857 - [c25]Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, Feng Zhao:
Automatically characterizing places with opportunistic crowdsensing using smartphones. UbiComp 2012: 481-490 - [c24]Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell:
CarSafe demo: supporting driver safety using dual-cameras on smartphones. UbiComp 2012: 547 - [c23]Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell:
CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones. UbiComp 2012: 671-672 - [c22]Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, Andrew T. Campbell:
Visage: A Face Interpretation Engine for Smartphone Applications. MobiCASE 2012: 149-168 - [c21]Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury:
BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. Wireless Health 2012: 10:1-10:8 - 2011
- [j5]Nicholas D. Lane, Ye Xu, Hong Lu, Andrew T. Campbell, Tanzeem Choudhury, Shane B. Eisenman:
Exploiting Social Networks for Large-Scale Human Behavior Modeling. IEEE Pervasive Comput. 10(4): 45-53 (2011) - [c20]Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao:
Enabling large-scale human activity inference on smartphones using community similarity networks (csn). UbiComp 2011: 355-364 - [c19]Nicholas D. Lane, Tanzeem Choudhury, Feng Zhao:
Mobile sensing: challenges, opportunities and future directions. UbiComp 2011: 637-638 - [c18]David Chu, Nicholas D. Lane, Ted Tsung-Te Lai, Cong Pang, Xiangying Meng, Qing Guo, Fan Li, Feng Zhao:
Balancing energy, latency and accuracy for mobile sensor data classification. SenSys 2011: 54-67 - 2010
- [j4]Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell:
A survey of mobile phone sensing. IEEE Commun. Mag. 48(9): 140-150 (2010) - [j3]Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell:
Bubble-sensing: Binding sensing tasks to the physical world. Pervasive Mob. Comput. 6(1): 58-71 (2010) - [c17]Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell:
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior. AAAI 2010: 1600-1606 - [c16]Nicholas D. Lane, Dimitrios Lymberopoulos, Feng Zhao, Andrew T. Campbell:
Hapori: context-based local search for mobile phones using community behavioral modeling and similarity. UbiComp 2010: 109-118 - [c15]Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell:
The Jigsaw continuous sensing engine for mobile phone applications. SenSys 2010: 71-84
2000 – 2009
- 2009
- [j2]Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell:
BikeNet: A mobile sensing system for cyclist experience mapping. ACM Trans. Sens. Networks 6(1): 6:1-6:39 (2009) - [c14]Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell:
SoundSense: scalable sound sensing for people-centric applications on mobile phones. MobiSys 2009: 165-178 - 2008
- [j1]Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson, Hong Lu, Xiao Zheng, Mirco Musolesi, Kristóf Fodor, Gahng-Seop Ahn:
The Rise of People-Centric Sensing. IEEE Internet Comput. 12(4): 12-21 (2008) - [c13]Shane B. Eisenman, Nicholas D. Lane, Andrew T. Campbell:
Techniques for Improving Opportunistic Sensor Networking Performance. DCOSS 2008: 157-175 - [c12]Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber:
CaliBree: A Self-calibration System for Mobile Sensor Networks. DCOSS 2008: 314-331 - [c11]Nicholas D. Lane, Hong Lu, Shane B. Eisenman, Andrew T. Campbell:
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing. Pervasive 2008: 75-92 - [c10]Emiliano Miluzzo, Nicholas D. Lane, Kristóf Fodor, Ronald A. Peterson, Hong Lu, Mirco Musolesi, Shane B. Eisenman, Xiao Zheng, Andrew T. Campbell:
Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. SenSys 2008: 337-350 - [c9]Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng:
Transforming the social networking experience with sensing presence from mobile phones. SenSys 2008: 367-368 - [c8]Mirco Musolesi, Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Tanzeem Choudhury, Andrew T. Campbell:
Integrating sensor presence into virtual worlds using mobile phones. SenSys 2008: 383-384 - [c7]Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell:
Urban sensing systems: opportunistic or participatory? HotMobile 2008: 11-16 - 2007
- [c6]Nicholas D. Lane, Hong Lu, Andrew T. Campbell:
Ambient beacon localization: using sensed characteristics of the physical world to localize mobile sensors. EmNets 2007: 38-42 - [c5]Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell:
CenceMe - Injecting Sensing Presence into Social Networking Applications. EuroSSC 2007: 1-28 - [c4]Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell:
The BikeNet mobile sensing system for cyclist experience mapping. SenSys 2007: 87-101 - 2006
- [c3]Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell:
Virtual sensing range. SenSys 2006: 397-398 - [c2]Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson:
People-centric urban sensing. WICON 2006: 18 - 2003
- [c1]Masood Masoodian, Nicholas D. Lane:
An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones. AUIC 2003: 11-18
Coauthor Index
Nadia Bianchi-Berthouze
aka: Nadia Berthouze
aka: Nadia Berthouze
Pedro Porto Buarque de Gusmão
aka: Pedro P. B. de Gusmao
aka: Pedro P. B. de Gusmao
Alberto Gil C. P. Ramos
aka: Alberto Gil Couto Pimentel Ramos
aka: Alberto Gil Couto Pimentel Ramos
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