Nicholas D. Lane

315 papers A* 22A 25B 5C 3Misc 34Journal 166Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research. CoRR Fan Zhang, Daniel Kreuter, Javier Fernández-Marqués, BloodCounts Consortium, Gregory Verghese, Bernard Butler, Nicholas D. Lane, Suthesh Sivapalaratnam, Joseph Taylor, Norbert C. J. de Wit, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Michael Roberts
2026	J	`jnl`	Computational Compliance for AI Regulation: Blueprint for a New Research Domain. CoRR Bill Marino, Nicholas D. Lane
2026	A*	`conf`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2026	J	`jnl`	Floe: Federated Specialization for Real-Time LLM-SLM Inference. CoRR Chunlin Tian, Kahou Tam, Yebo Wu, Shuaihang Zhong, Li Li, Nicholas D. Lane, Cheng-Zhong Xu
2026	J	`jnl`	LoRDO: Distributed Low-Rank Optimization with Infrequent Communication. CoRR Andrej Jovanovic, Alex Iacob, Mher Safaryan, Ionut-Vlad Modoranu, Lorenzo Sani, William F. Shen, Xinchi Qiu, Dan Alistarh, Nicholas D. Lane
2026	J	`jnl`	Supercharging Federated Intelligence Retrieval. CoRR Dimitris Stripelis, Patrick Foley, Mohammad Naseri, William Lindskog-Münzing, Chong Shen Ng, Daniel J. Beutel, Nicholas D. Lane
2025	J	`jnl`	A Survey on Federated Learning in Human Sensing. CoRR Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich
2025	J	`jnl`	AIReg-Bench: Benchmarking Language Models That Assess AI Regulation Compliance. CoRR Bill Marino, Rosco Hunter, Zubair Jamali, Marinos Emmanouil Kalpakos, Mudra Kashyap, Isaiah Hinton, Alexa Hanson, Maahum Nazir, Christoph Schnabl, Felix Steffek, Hongkai Wen, Nicholas D. Lane
2025	J	`jnl`	AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. CoRR Preslav Aleksandrov, Meghdad Kurmanji, Fernando García-Redondo, David O'Shea, William F. Shen, Alex Iacob, Lorenzo Sani, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization. CoRR Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization. CoRR Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. CoRR Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane
2025	J	`jnl`	Bridge the Gaps between Machine Unlearning and AI Regulation. CoRR Bill Marino, Meghdad Kurmanji, Nicholas D. Lane
2025	J	`jnl`	Bringing Federated Learning to Space. CoRR Grace Kim, Filip Svoboda, Nicholas D. Lane
2025	J	`jnl`	CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics. CoRR Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Bofan Chen, Nicholas D. Lane
2025	J	`jnl`	Cascadia: A Cascade Serving System for Large Language Models. CoRR Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Nicholas D. Lane, Binhang Yuan
2025	J	`jnl`	DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. CoRR Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	—	`conf`	Demystifying Small Language Models for Edge Deployment. ACL (1) Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu, Jian Luan, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
2025	J	`jnl`	Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning. CoRR William F. Shen, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? CoRR Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	End-to-end data-driven weather prediction. Nat. Anna Allen, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, Matthew Chantry, J. Scott Hosking, Richard E. Turner
2025	—	`conf`	Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. ASP-DAC Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. CoRR Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
2025	—	`conf`	FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. KDD (2) Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	J	`jnl`	LUNAR: LLM Unlearning via Neural Activation Redirection. CoRR William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane
2025	J	`jnl`	MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates. CoRR Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane
2025	J	`jnl`	PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration. ACM Trans. Reconfigurable Technol. Syst. Ahmed F. AbouElhamayed, Angela Cui, Javier Fernández-Marqués, Nicholas D. Lane, Mohamed S. Abdelfattah
2025	—	`conf`	Photon: Federated LLM Pre-Training. MLSys Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Wanru Zhao, Dongqi Cai, Zexi Li, Xinchi Qiu, Nicholas D. Lane
2025	C	`conf`	Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites. IPAS Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello, Pablo Gómez, Gabriele Meoni, Filip Svoboda, Nicholas D. Lane
2025	J	`jnl`	SparsyFed: Sparse Adaptive Federated Training. CoRR Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas D. Lane
2024	J	`jnl`	Aardvark Weather: end-to-end data-driven weather forecasting. CoRR 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
2024	A*	`conf`	CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. NeurIPS Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane
2024	J	`jnl`	Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance. CoRR Bill Marino, Preslav Aleksandrov, Carwyn Rahman, Yulu Pi, Bill Shen, Rui-Jie Yew, Nicholas D. Lane
2024	J	`jnl`	DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane
2024	J	`jnl`	FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
2024	J	`jnl`	FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables. IEEE Pervasive Comput. Alessandro Gobbetti, Martin Gjoreski, Hristijan Gjoreski, Nicholas D. Lane, Marc Langheinrich
2024	J	`jnl`	Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen
2024	A	`conf`	Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	J	`jnl`	NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
2024	J	`jnl`	PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
2024	J	`jnl`	Photon: Federated LLM Pre-Training. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane
2024	A*	`ed.`	Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2024, Washington D.C., DC, USA, November 18-22, 2024 MobiCom Weisong Shi, Deepak Ganesan, Nicholas D. Lane
2024	J	`jnl`	Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites. CoRR Meghan Plumridge, Rasmus Maråk, Chiara Ceccobello, Pablo Gómez, Gabriele Meoni, Filip Svoboda, Nicholas D. Lane
2024	J	`jnl`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	J	`jnl`	Sheaf HyperNetworks for Personalized Federated Learning. CoRR Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane
2024	J	`jnl`	Small Language Models: Survey, Measurements, and Insights. CoRR Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
2024	J	`jnl`	Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations. CoRR Grace Kim, Luca Powell, Filip Svoboda, Nicholas D. Lane
2024	J	`jnl`	Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR 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
2024	J	`jnl`	The Future of Consumer Edge-AI Computing. IEEE Pervasive Comput. Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
2024	J	`jnl`	The Future of Large Language Model Pre-training is Federated. CoRR Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
2023	—	`conf`	A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió
2023	J	`jnl`	A Federated Learning Benchmark for Drug-Target Interaction. CoRR Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò
2023	J	`jnl`	A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2023	J	`jnl`	Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR Javier Fernández-Marqués, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah
2023	—	`conf`	Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	J	`jnl`	Can Fair Federated Learning reduce the need for Personalisation? CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	—	`conf`	Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
2023	J	`jnl`	Efficient Vertical Federated Learning with Secure Aggregation. CoRR Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2023	J	`jnl`	FDAPT: Federated Domain-adaptive Pre-training for Language Models. CoRR Lekang Jiang, Filip Svoboda, Nicholas D. Lane
2023	A*	`conf`	FedL2P: Federated Learning to Personalize. NeurIPS Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
2023	J	`jnl`	FedL2P: Federated Learning to Personalize. CoRR Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2023	A*	`conf`	FedVal: Different good or different bad in federated learning. USENIX Security Symposium Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	J	`jnl`	FedVal: Different good or different bad in federated learning. CoRR Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
2023	J	`jnl`	Federated Learning with Swift: An Extension of Flower and Performance Evaluation. SoftwareX Maximilian Kapsecker, Daniel N. Nugraha, Christoph Weinhuber, Nicholas D. Lane, Stephan M. Jonas
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 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
2023	—	`conf`	Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. EuroMLSys@EuroSys Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
2023	J	`jnl`	Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates. CoRR Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
2023	J	`jnl`	How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
2023	A*	`conf`	L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023	J	`jnl`	L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
2023	—	`conf`	Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth. TML4H Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lum Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze
2023	J	`jnl`	Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2023	J	`jnl`	Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2023	J	`jnl`	Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
2023	J	`jnl`	Privacy in Multimodal Federated Human Activity Recognition. CoRR Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
2023	A*	`conf`	Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
2023	J	`jnl`	Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
2023	J	`jnl`	TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo
2023	A*	`conf`	Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
2023	J	`jnl`	vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	A*	`conf`	Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022	J	`jnl`	Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022	A	`conf`	Adaptable mobile vision systems through multi-exit neural networks. MobiSys Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
2022	A*	`conf`	BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah
2022	J	`jnl`	Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. ACM Comput. Surv. Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2022	—	`conf`	Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane
2022	J	`jnl`	Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Edgar Liberis, Nicholas D. Lane
2022	J	`jnl`	DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
2022	Misc	`conf`	End-to-End Speech Recognition from Federated Acoustic Models. ICASSP Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
2022	J	`jnl`	FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2022	—	`conf`	Federated Self-supervised Learning for Video Understanding. ECCV (31) Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	J	`jnl`	Federated Self-supervised Learning for Video Understanding. CoRR Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	A	`conf`	Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
2022	J	`jnl`	Federated Self-supervised Speech Representations: Are We There Yet? CoRR Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
2022	J	`jnl`	Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
2022	—	`conf`	Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2022	J	`jnl`	MobiVQA: Efficient On-Device Visual Question Answering. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Qingqing Cao, Prerna Khanna, Nicholas D. Lane, Aruna Balasubramanian
2022	J	`jnl`	Multi-DNN Accelerators for Next-Generation AI Systems. CoRR Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
2022	—	`conf`	Multi-Exit Semantic Segmentation Networks. ECCV (21) Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
2022	J	`jnl`	NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
2022	J	`jnl`	Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution. CoRR Edgar Liberis, Nicholas D. Lane
2022	J	`jnl`	Protea: Client Profiling within Federated Systems using Flower. CoRR Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	—	`conf`	Protea: client profiling within federated systems using flower. FedEdge@MobiCom Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Secure Aggregation for Federated Learning in Flower. CoRR Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
2022	J	`jnl`	The Future of Consumer Edge-AI Computing. CoRR Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
2022	J	`jnl`	Wireless Localization with Spatial-Temporal Robust Fingerprints. ACM Trans. Sens. Networks Danyang Li, Jingao Xu, Zheng Yang, Chenshu Wu, Jianbo Li, Nicholas D. Lane
2021	—	`conf`	A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021	J	`jnl`	A Channel Coding Benchmark for Meta-Learning. CoRR Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
2021	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2021	J	`jnl`	Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. CoRR Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane
2021	—	`conf`	Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
2021	J	`jnl`	Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
2021	J	`jnl`	AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth. CoRR Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze
2021	—	`conf`	Are Mobile DNN Accelerators Accelerating DNNs? EMDL@MobiSys Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane
2021	J	`jnl`	Can You See It?: Good, So We Can Sense It! GetMobile Mob. Comput. Commun. HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz
2021	J	`jnl`	Chronic Pain Protective Behavior Detection with Deep Learning. ACM Trans. Comput. Heal. Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2021	J	`jnl`	Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. CoRR Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2021	A	`conf`	Defensive Tensorization. BMVC Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
2021	J	`jnl`	Defensive Tensorization. CoRR Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
2021	J	`jnl`	Differentiable Network Pruning for Microcontrollers. CoRR Edgar Liberis, Nicholas D. Lane
2021	C	`conf`	Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. ASRU Yan Gao, Titouan Parcollet, Nicholas D. Lane
2021	J	`jnl`	DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
2021	J	`jnl`	End-to-End Speech Recognition from Federated Acoustic Models. CoRR Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
2021	J	`jnl`	FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2021	A*	`conf`	FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
2021	J	`jnl`	FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
2021	J	`jnl`	Inferring Facing Direction from Voice Signals. CoRR Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane
2021	Misc	`conf`	It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
2021	J	`jnl`	It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
2021	J	`jnl`	Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2021	J	`jnl`	MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR 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
2021	J	`jnl`	Multi-Exit Semantic Segmentation Networks. CoRR Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
2021	J	`jnl`	On-device Federated Learning with Flower. CoRR Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
2021	J	`jnl`	Predicting Patient Outcomes with Graph Representation Learning. CoRR Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò
2021	—	`conf`	Secure aggregation for federated learning in flower. DistributedML@CoNEXT Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
2021	J	`jnl`	Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
2021	A	`conf`	Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
2021	—	`conf`	Temporal Kernel Consistency for Blind Video Super-Resolution. ICCVW Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
2021	J	`jnl`	Temporal Kernel Consistency for Blind Video Super-Resolution. CoRR Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
2021	J	`jnl`	Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen
2021	J	`jnl`	Zero-Cost Proxies for Lightweight NAS. CoRR Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane
2021	J	`jnl`	Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Catherine Tong, Jinchen Ge, Nicholas D. Lane
2021	Misc	`conf`	unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2021	J	`jnl`	unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2021	—	`conf`	μNAS: Constrained Neural Architecture Search for Microcontrollers. EuroMLSys@EuroSys Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane
2020	J	`jnl`	2020 ACM SIGMOBILE Rockstar Award: Nicholas D. Lane. GetMobile Mob. Comput. Commun. Nicholas D. Lane
2020	J	`jnl`	A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. IEEE Internet Things J. Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
2020	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2020	Misc	`conf`	Are Accelerometers for Activity Recognition a Dead-end? HotMobile Catherine Tong, Shyam A. Tailor, Nicholas D. Lane
2020	J	`jnl`	Are Accelerometers for Activity Recognition a Dead-end? CoRR Catherine Tong, Shyam A. Tailor, Nicholas D. Lane
2020	A*	`conf`	BRP-NAS: Prediction-based NAS using GCNs. NeurIPS Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	BRP-NAS: Prediction-based NAS using GCNs. CoRR Thomas Chau, Lukasz Dudziak, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	A*	`conf`	Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. DAC Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. CoRR Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems. CoRR Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane
2020	A	`conf`	Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems. INTERSPEECH Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane
2020	A	`conf`	Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search. FPGA Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo
2020	J	`jnl`	Deep Learning in the Era of Edge Computing: Challenges and Opportunities. CoRR Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu
2020	J	`jnl`	Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane
2020	J	`jnl`	Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. CoRR Yan Gao, Titouan Parcollet, Nicholas D. Lane
2020	B	`conf`	EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. FG 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
2020	J	`jnl`	EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions. CoRR 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
2020	J	`jnl`	Flower: A Friendly Federated Learning Research Framework. CoRR Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane
2020	A	`conf`	FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. INTERSPEECH Titouan Parcollet, Xinchi Qiu, Nicholas D. Lane
2020	A	`conf`	HAPI: Hardware-Aware Progressive Inference. ICCAD Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	HAPI: Hardware-Aware Progressive Inference. CoRR Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane
2020	J	`jnl`	IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz
2020	J	`jnl`	IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition. CoRR HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz
2020	A	`conf`	Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH 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
2020	J	`jnl`	Iterative Compression of End-to-End ASR Model using AutoML. CoRR 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
2020	—	`conf`	Journey Towards Tiny Perceptual Super-Resolution. ECCV (26) Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020	J	`jnl`	Journey Towards Tiny Perceptual Super-Resolution. CoRR Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
2020	J	`jnl`	Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. CoRR Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2020	J	`jnl`	Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2020	Misc	`conf`	Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2020	J	`jnl`	Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. CoRR Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2020	—	`conf`	Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. DistributedML@CoNEXT Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2020	J	`jnl`	Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. CoRR Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
2020	A	`conf`	Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. INTERSPEECH Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid
2020	J	`jnl`	Quaternion Neural Networks for Multi-channel Distant Speech Recognition. CoRR Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid
2020	J	`jnl`	SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
2020	A*	`conf`	SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
2020	J	`jnl`	Single Shot Structured Pruning Before Training. CoRR Joost van Amersfoort, Milad Alizadeh, Sebastian Farquhar, Nicholas D. Lane, Yarin Gal
2020	Misc	`conf`	The Final Frontier: Deep Learning in Space. HotMobile Vivek Kothari, Edgar Liberis, Nicholas D. Lane
2020	J	`jnl`	The Final Frontier: Deep Learning in Space. CoRR Vivek Kothari, Edgar Liberis, Nicholas D. Lane
2020	A	`conf`	Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. INTERSPEECH Akhil Mathur, Nadia Berthouze, Nicholas D. Lane
2020	J	`jnl`	μNAS: Constrained Neural Architecture Search for Microcontrollers. CoRR Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane
2019	—	`conf`	A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2019	—	`conf`	An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal
2019	J	`jnl`	Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. CoRR Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2019	J	`jnl`	EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
2019	C	`conf`	FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane
2019	J	`jnl`	Learning Bodily and Temporal Attention in Protective Movement Behavior Detection. CoRR Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
2019	—	`conf`	Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. ACII Workshops Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
2019	J	`jnl`	Learning to Listen... On-Device: Present and future perspectives of on-device ASR. GetMobile Mob. Comput. Commun. Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane
2019	—	`conf`	Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems. IPSN Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
2019	A*	`conf`	MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
2019	J	`jnl`	MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
2019	J	`jnl`	Neural networks on microcontrollers: saving memory at inference via operator reordering. CoRR Edgar Liberis, Nicholas D. Lane
2019	J	`jnl`	Pervasive Data Science and AI. IEEE Pervasive Comput. Nigel Davies, Nicholas D. Lane, Mirco Musolesi
2019	A*	`conf`	Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane
2019	A	`ed.`	Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. MobiSys Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu
2019	—	`ed.`	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. UbiComp/ISWC Adjunct Robert Harle, Katayoun Farrahi, Nicholas D. Lane
2019	Misc	`ed.`	Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, UK, September 09-13, 2019 UbiComp Katayoun Farrahi, Robert Harle, Nicholas D. Lane
2019	Misc	`conf`	Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. UbiComp Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
2019	A	`conf`	ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. INTERSPEECH Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
2019	J	`jnl`	ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. CoRR Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane
2019	—	`ch.`	Towards the Design and Evaluation of Robust Audio-Sensing Systems. Human Activity Sensing Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane
2019	J	`jnl`	Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Catherine Tong, Matthew Craner, Matthieu Vegreville, Nicholas D. Lane
2019	—	`conf`	Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar
2018	J	`jnl`	Behavior Recognition Based on Wi-Fi CSI: Part 2. IEEE Commun. Mag. Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu
2018	—	`conf`	Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. PervasiveHealth Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2018	A*	`conf`	Deterministic Binary Filters for Convolutional Neural Networks. IJCAI Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
2018	A	`conf`	Deterministic binary filters for keyword spotting applications. MobiSys Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
2018	B	`conf`	Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems. MASS Jingao Xu, Zheng Yang, Hengjie Chen, Yunhao Liu, Xiancun Zhou, Jianbo Li, Nicholas D. Lane
2018	A	`conf`	Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data. MobiSys Catherine Tong, Gabriella M. Harari, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitmann, Nicholas D. Lane
2018	—	`conf`	Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville
2018	—	`conf`	On Robustness of Cloud Speech APIs: An Early Characterization. UbiComp/ISWC Adjunct Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze
2018	—	`conf`	On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
2018	J	`jnl`	Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People. CoRR Bingzhang Hu, Yan Gao, Yu Guan, Yang Long, Nicholas D. Lane, Thomas Ploetz
2018	J	`jnl`	The Deep (Learning) Transformation of Mobile and Embedded Computing. Computer Nicholas D. Lane, Pete Warden
2018	A	`conf`	Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. MobiSys Milad Alizadeh, Nicholas D. Lane
2018	—	`conf`	Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò
2017	J	`jnl`	A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. CoRR Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
2017	A	`conf`	Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. MobiSys Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu
2017	J	`jnl`	Behavior Recognition Based on Wi-Fi CSI: Part 1. IEEE Commun. Mag. Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu
2017	J	`jnl`	Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. CoRR Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2017	A	`conf`	DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar
2017	—	`conf`	Density-aware compressive crowdsensing. IPSN Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda
2017	J	`jnl`	Gain Without Pain: Accurate WiFi-based Localization using Fingerprint Spatial Gradient. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chenshu Wu, Jingao Xu, Zheng Yang, Nicholas D. Lane, Zuwei Yin
2017	J	`jnl`	Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo
2017	J	`jnl`	Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
2017	J	`jnl`	Privacy-Preserving Deep Inference for Rich User Data on The Cloud. CoRR Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
2017	Misc	`ed.`	Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, HotMobile 2017, Sonoma, CA, USA, February 21 - 22, 2017 HotMobile Elizabeth M. Belding, Nicholas D. Lane
2017	—	`conf`	Scaling health analytics to millions without compromising privacy using deep distributed behavior models. PervasiveHealth Petar Velickovic, Nicholas D. Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville
2017	J	`jnl`	Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016	—	`conf`	DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar
2016	—	`conf`	DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar
2016	—	`conf`	Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016	—	`conf`	Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2016	Misc	`conf`	Engagement-aware computing: modelling user engagement from mobile contexts. UbiComp Akhil Mathur, Nicholas D. Lane, Fahim Kawsar
2016	—	`conf`	From smart to deep: Robust activity recognition on smartwatches using deep learning. PerCom Workshops Sourav Bhattacharya, Nicholas D. Lane
2016	—	`conf`	HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. IPSN Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar
2016	A*	`conf`	LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. MobiCom Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2016	—	`conf`	Poster: Towards Radio-based Sensing on Wearables. MobiSys (Companion Volume) Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar
2016	—	`ed.`	Proceedings of the 3rd International on Workshop on Physical Analytics, WPA@MobiSys 2015, Singapore, June 26, 2016 WPA@MobiSys Nicholas D. Lane, Xia Zhou, Fahim Kawsar
2016	Misc	`conf`	Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables. SenSys Sourav Bhattacharya, Nicholas D. Lane
2016	—	`conf`	Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
2016	J	`jnl`	X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets. CoRR Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò
2016	—	`conf`	X-CNN: Cross-modal convolutional neural networks for sparse datasets. SSCI Petar Velickovic, Duo Wang, Nicholas D. Lane, Pietro Liò
2016	B	`conf`	ppNav: Peer-to-Peer Indoor Navigation for Smartphones. ICPADS Zuwei Yin, Chenshu Wu, Zheng Yang, Nicholas D. Lane, Yunhao Liu
2015	—	`conf`	An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar
2015	Misc	`conf`	Can Deep Learning Revolutionize Mobile Sensing? HotMobile Nicholas D. Lane, Petko Georgiev
2015	—	`conf`	Cost-aware compressive sensing for networked sensing systems. IPSN Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda
2015	Misc	`conf`	DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning. UbiComp Nicholas D. Lane, Petko Georgiev, Lorena Qendro
2015	J	`jnl`	How to the Smash Next Billion Mobile App Bugs? GetMobile Mob. Comput. Commun. Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath, Feng Zhao
2015	Misc	`conf`	More with less: lowering user burden in mobile crowdsourcing through compressive sensing. UbiComp Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda
2015	Misc	`conf`	Prime: a framework for co-located multi-device apps. UbiComp David Chu, Zengbin Zhang, Alec Wolman, Nicholas D. Lane
2015	—	`conf`	SIFT: building an internet of safe things. IPSN Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Li, Yong Yu
2015	A*	`conf`	Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning. ICDM Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Clarence Yan, Nicholas D. Lane, Chunyan Miao
2015	A	`conf`	ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. MobiSys Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao
2014	—	`ed.`	6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014, Austin, TX, USA, November 6-7, 2014 MobiCASE Christine Julien, Nicholas D. Lane, Shivakant Mishra
2014	J	`jnl`	BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing. Mob. Networks Appl. Nicholas D. Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury
2014	A*	`conf`	Caiipa: automated large-scale mobile app testing through contextual fuzzing. MobiCom 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
2014	J	`jnl`	Community Similarity Networks. Pers. Ubiquitous Comput. Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao
2014	Misc	`conf`	Connecting personal-scale sensing and networked community behavior to infer human activities. UbiComp Nicholas D. Lane, Pengyu Li, Lin Zhou, Feng Zhao
2014	—	`conf`	ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data. UbiComp Adjunct Zhenyu Chen, Yiqiang Chen, Lisha Hu, Shuangquan Wang, Xinlong Jiang, Xiaojuan Ma, Nicholas D. Lane, Andrew T. Campbell
2014	J	`jnl`	DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones. CoRR Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2014	Misc	`conf`	DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. SenSys Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2013	—	`conf`	2nd ACM international workshop on mobile systems for computational social science. UbiComp (Adjunct Publication) Nicholas D. Lane, Mirco Musolesi
2013	A	`conf`	CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 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
2013	A	`conf`	CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones. MobiSys 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
2013	A	`conf`	MoodScope: building a mood sensor from smartphone usage patterns. MobiSys Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong
2013	A	`conf`	MoodScope: building a mood sensor from smartphone usage patterns. MobiSys Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong
2013	Misc	`conf`	Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities. SenSys Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha
2013	Misc	`conf`	Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns. ISWC Ye Xu, Mu Lin, Hong Lu, Giuseppe Cardone, Nicholas D. Lane, Zhenyu Chen, Andrew T. Campbell, Tanzeem Choudhury
2013	Misc	`conf`	Understanding the coverage and scalability of place-centric crowdsensing. UbiComp Yohan Chon, Nicholas D. Lane, Yunjong Kim, Feng Zhao, Hojung Cha
2013	—	`conf`	Unobtrusive sleep monitoring using smartphones. PervasiveHealth Zhenyu Chen, Mu Lin, Fanglin Chen, Nicholas D. Lane, Giuseppe Cardone, Rui Wang, Tianxing Li, Yiqiang Chen, Tanzeem Choudhury, Andrew T. Campbell
2012	Misc	`conf`	Automatically characterizing places with opportunistic crowdsensing using smartphones. UbiComp Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, Feng Zhao
2012	—	`conf`	BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. Wireless Health Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, Tanzeem Choudhury
2012	Misc	`conf`	CarSafe demo: supporting driver safety using dual-cameras on smartphones. UbiComp Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell
2012	Misc	`conf`	CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones. UbiComp Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Hong Lu, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell
2012	J	`jnl`	Community-Aware Smartphone Sensing Systems. IEEE Internet Comput. Nicholas D. Lane
2012	A*	`conf`	Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity. AAAI Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury
2012	—	`conf`	Visage: A Face Interpretation Engine for Smartphone Applications. MobiCASE Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, Andrew T. Campbell
2011	Misc	`conf`	Balancing energy, latency and accuracy for mobile sensor data classification. SenSys David Chu, Nicholas D. Lane, Ted Tsung-Te Lai, Cong Pang, Xiangying Meng, Qing Guo, Fan Li, Feng Zhao
2011	Misc	`conf`	Enabling large-scale human activity inference on smartphones using community similarity networks (csn). UbiComp Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao
2011	J	`jnl`	Exploiting Social Networks for Large-Scale Human Behavior Modeling. IEEE Pervasive Comput. Nicholas D. Lane, Ye Xu, Hong Lu, Andrew T. Campbell, Tanzeem Choudhury, Shane B. Eisenman
2011	Misc	`conf`	Mobile sensing: challenges, opportunities and future directions. UbiComp Nicholas D. Lane, Tanzeem Choudhury, Feng Zhao
2010	J	`jnl`	A survey of mobile phone sensing. IEEE Commun. Mag. Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell
2010	J	`jnl`	Bubble-sensing: Binding sensing tasks to the physical world. Pervasive Mob. Comput. Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell
2010	A*	`conf`	Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior. AAAI Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell
2010	Misc	`conf`	Hapori: context-based local search for mobile phones using community behavioral modeling and similarity. UbiComp Nicholas D. Lane, Dimitrios Lymberopoulos, Feng Zhao, Andrew T. Campbell
2010	Misc	`conf`	The Jigsaw continuous sensing engine for mobile phone applications. SenSys Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell
2009	J	`jnl`	BikeNet: A mobile sensing system for cyclist experience mapping. ACM Trans. Sens. Networks Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell
2009	A	`conf`	SoundSense: scalable sound sensing for people-centric applications on mobile phones. MobiSys Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell
2008	B	`conf`	CaliBree: A Self-calibration System for Mobile Sensor Networks. DCOSS Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber
2008	—	`conf`	Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing. Pervasive Nicholas D. Lane, Hong Lu, Shane B. Eisenman, Andrew T. Campbell
2008	Misc	`conf`	Integrating sensor presence into virtual worlds using mobile phones. SenSys Mirco Musolesi, Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Tanzeem Choudhury, Andrew T. Campbell
2008	Misc	`conf`	Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. SenSys Emiliano Miluzzo, Nicholas D. Lane, Kristóf Fodor, Ronald A. Peterson, Hong Lu, Mirco Musolesi, Shane B. Eisenman, Xiao Zheng, Andrew T. Campbell
2008	B	`conf`	Techniques for Improving Opportunistic Sensor Networking Performance. DCOSS Shane B. Eisenman, Nicholas D. Lane, Andrew T. Campbell
2008	J	`jnl`	The Rise of People-Centric Sensing. IEEE Internet Comput. 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
2008	Misc	`conf`	Transforming the social networking experience with sensing presence from mobile phones. SenSys Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng
2008	Misc	`conf`	Urban sensing systems: opportunistic or participatory? HotMobile Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell
2007	—	`conf`	Ambient beacon localization: using sensed characteristics of the physical world to localize mobile sensors. EmNets Nicholas D. Lane, Hong Lu, Andrew T. Campbell
2007	—	`conf`	CenceMe - Injecting Sensing Presence into Social Networking Applications. EuroSSC Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell
2007	Misc	`conf`	The BikeNet mobile sensing system for cyclist experience mapping. SenSys Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell
2006	—	`conf`	People-centric urban sensing. WICON Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson
2006	Misc	`conf`	Virtual sensing range. SenSys Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell
2003	—	`conf`	An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones. AUIC Masood Masoodian, Nicholas D. Lane