@article{Abdelmoniem2024,author={Abdelmoniem, Ahmed M. and Zhao, Yuchen},journal={IEEE Intelligent Systems},title={{Knowledge Routing in Decentralized Learning}},year={2025},volume={40},number={1},pages={38--44},doi={10.1109/MIS.2024.3505543}}
@inproceedings{Huang2024sec,author={Huang, Yushan and Aloufi, Ranya and Cadet, Xavier and Zhao, Yuchen and Barnaghi, Payam and Haddadi, Hamed},booktitle={Proceedings of 2024 IEEE/ACM Symposium on Edge Computing},title={{Low-Energy On-Device Personalization for MCUs}},year={2024},pages={45--58},location={Rome, Italy},doi={10.1109/SEC62691.2024.00012}}
Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices
@inproceedings{Huang2024euromlsys,author={Huang, Yushan and Millar, Josh and Long, Yuxuan and Zhao, Yuchen and Haddadi, Hamed},title={{Towards Low-Energy Adaptive Personalization for Resource-Constrained Devices}},year={2024},month=apr,publisher={Association for Computing Machinery},address={New York, NY, USA},doi={10.1145/3642970.3655826},booktitle={Proceedings of the 4th Workshop on Machine Learning and Systems},pages={73--80},numpages={8},keywords={Low-Energy, Machine Learning, Personalization},location={Athens, Greece}}
Analyzing Entropy Features in Time-Series Data for Pattern Recognition in Neurological Conditions
@article{Huang2024aim,title={{Analyzing Entropy Features in Time-Series Data for Pattern Recognition in Neurological Conditions}},journal={Artificial Intelligence in Medicine},pages={102821},year={2024},issn={0933-3657},doi={10.1016/j.artmed.2024.102821},author={Huang, Yushan and Zhao, Yuchen and Capstick, Alexander and Palermo, Francesca and Haddadi, Hamed and Barnaghi, Payam},keywords={Entropy, Time-series data, Pattern recognition, Neurological conditions}}
@inproceedings{Adams2023,address={Cham},series={Lecture {Notes} in {Computer} {Science}},title={Auditing {AI} {Systems}: {A} {Metadata} {Approach}},isbn={978-3-031-47994-6},shorttitle={Auditing {AI} {Systems}},doi={10.1007/978-3-031-47994-6_22},language={en},booktitle={Artificial {Intelligence} {XL}},publisher={Springer Nature Switzerland},author={Adams, Carl and Eslamnejad, Mohsen and Khadka, Anita and M’manga, Andrew and Shaw, Heather and Zhao, Yuchen},editor={Bramer, Max and Stahl, Frederic},year={2023},keywords={Auditing AI, Metadata, Testing AI},pages={241--246},file={Full Text PDF:/home/yuchen/Zotero/storage/28JDJCDT/Adams et al. - 2023 - Auditing AI Systems A Metadata Approach.pdf:application/pdf}}
(Poster) Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
@inproceedings{Niu2023mobicom,title={{(Poster) Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data}},booktitle={Proceedings of the 29th Annual International Conference on Mobile Computing and Networking},author={Niu, Mengjia and Zhao, Yuchen and Haddadi, Hamed},articleno={134},numpages={3},year={2023},month=oct,location={Madrid, Spain},doi={10.1145/3570361.3615741}}
(Preprint) Information Theory Inspired Pattern Analysis for Time-series Data
@misc{Huang2023,title={{(Preprint) Information Theory Inspired Pattern Analysis for Time-series Data}},author={Huang, Yushan and Zhao, Yuchen and Capstick, Alexander and Palermo, Francesca and Haddadi, Hamed and Barnaghi, Payam},year={2023},eprint={2302.11654},archiveprefix={arXiv},primaryclass={cs.AI},url={https://arxiv.org/abs/2302.11654}}
PRISM: Privacy Preserving Healthcare Internet of Things Security Management
@inproceedings{Hadjixenophontos2023,title={PRISM: Privacy Preserving Healthcare Internet of Things Security Management},booktitle={Proceedings of the 2023 IEEE Symposium on Computers and Communications},pages={919-924},author={Hadjixenophontos, Savvas and Mandalari, Anna Maria and Zhao, Yuchen and Haddadi, Hamed},year={2023},month=jul,location={Gammarth, Tunisia},doi={10.1109/ISCC58397.2023.10218268}}
2022
Using Entropy Measures for Monitoring the Evolution of Activity Patterns
@inproceedings{Huang2022,title={{Using Entropy Measures for Monitoring the Evolution of Activity Patterns}},booktitle={Proceedings of the 2022 IEEE World Forum on Internet of Things},pages={1-6},author={Huang, Yushan and Zhao, Yuchen and Haddadi, Hamed and Barnaghi, Payam},year={2022},month=oct,location={Yokohama, Japan},doi={10.1109/WF-IoT54382.2022.10152050}}
@inproceedings{Zhao2022iotdi,title={{Multimodal Federated Learning on IoT Data}},booktitle={Proceedings of the 2022 IEEE/ACM 7th International Conference on Internet-of-Things Design and Implementation},pages={43-54},author={Zhao, Yuchen and Barnaghi, Payam and Haddadi, Hamed},month=may,year={2022},location={Milan, Italy},series={IoTDI '22},doi={10.1109/IoTDI54339.2022.00011},code={https://github.com/yuchenzhao/iotdi22-mmfl}}
Towards Battery-Free Machine Learning and Inference in Underwater Environments
@inproceedings{Zhao2022hotmobile,title={{Towards Battery-Free Machine Learning and Inference in Underwater Environments}},booktitle={Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications},pages={29–34},numpages={6},author={Zhao, Yuchen and Afzal, Sayed Saad and Akbar, Waleed and Rodriguez, Osvy and Mo, Fan and Boyle, David and Adib, Fadel and Haddadi, Hamed},month=mar,year={2022},location={Tempe, Arizona},series={HotMobile '22},doi={10.1145/3508396.3512877}}
Using Metrics Suites to Improve the Measurement of Privacy in Graphs
@article{Zhao2022tdsc,author={Zhao, Yuchen and Wagner, Isabel},journal={IEEE Transactions on Dependable and Secure Computing (TDSC)},title={{Using Metrics Suites to Improve the Measurement of Privacy in Graphs}},year={2022},month=jan,volume={19},number={1},pages={259--274},note={(first published on 13 Mar 2020)},doi={10.1109/TDSC.2020.2980271}}
2021
(Preprint) Semi-supervised Federated Learning for Activity Recognition
@misc{Zhao2021ssfl,title={{(Preprint) Semi-supervised Federated Learning for Activity Recognition}},author={Zhao, Yuchen and Liu, Hanyang and Li, Honglin and Barnaghi, Payam and Haddadi, Hamed},year={2021},eprint={2011.00851},primaryclass={cs.LG},archiveprefix={arXiv},note={arXiv:2011.00851},url={https://arxiv.org/abs/2011.00851}}
(Poster) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
@inproceedings{Palermo2021,title={{(Poster) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data}},booktitle={NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice},author={Palermo, Francesca and Li, Honglin and Capstick, Alexander and Fletcher-Lloyd, Nan and Zhao, Yuchen and Kouchaki, Samaneh and Nilforooshan, Ramin and Sharp, David and Barnaghi, Payam},year={2021},note={arXiv:2110.09868},url={https://arxiv.org/abs/2110.09868}}
2020
Privacy-Preserving Activity and Health Monitoring on Databox
@inproceedings{Zhao2020edgesys,author={Zhao, Yuchen and Haddadi, Hamed and Skillman, Severin and Enshaeifar, Shirin and Barnaghi, Payam},title={{Privacy-Preserving Activity and Health Monitoring on Databox}},year={2020},month=apr,isbn={9781450371322},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3378679.3394529},doi={10.1145/3378679.3394529},booktitle={Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking},pages={49--54},numpages={6},location={Heraklion, Greece},series={EdgeSys '20}}
Understanding the Use of Narrative Patterns by Novice Data Storytellers
Blount, Tom,
Koesten, Laura,
Zhao, Yuchen,
and Simperl, Elena
In Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications
2020
@inproceedings{Blount2020,author={Blount, Tom and Koesten, Laura and Zhao, Yuchen and Simperl, Elena},title={{Understanding the Use of Narrative Patterns by Novice Data Storytellers}},booktitle={Proceedings of the 4th International Conference on Computer-Human Interaction Research and Applications},year={2020},pages={128--138},doi={10.5220/0010121601280138}}
2019
Structured and Uncertainty-Aware Data Storytelling
Zhao, Yuchen,
Blount, Tom,
Koesten, Laura,
and Simperl, Elena
In CHI ’19 Workshop on HCI for Accurate, Impartial and Transparent
Journalism: Challenges and Solutions
May
2019
@inproceedings{Zhao2019chi-workshop,location={Glasgow, UK},author={Zhao, Yuchen and Blount, Tom and Koesten, Laura and Simperl, Elena},booktitle={CHI '19 Workshop on HCI for Accurate, Impartial and Transparent
Journalism: Challenges and Solutions},title={{Structured and Uncertainty-Aware Data Storytelling}},month=may,year={2019},url={https://bit.ly/3bSkuVh}}
On the Strength of Privacy Metrics for Vehicular Communication
@article{Zhao2019tmc,author={Zhao, Yuchen and Wagner, Isabel},journal={IEEE Transactions on Mobile Computing (TMC)},title={{On the Strength of Privacy Metrics for Vehicular Communication}},year={2019},volume={18},number={2},pages={390--403},month=feb,note={(first published on 03 May 2018)},doi={10.1109/TMC.2018.2830359}}
2018
Poster: Evaluating Privacy Metrics for Graph Anonymization and De-Anonymization
@inproceedings{Zhao2018asiaccs,author={Zhao, Yuchen and Wagner, Isabel},title={{Poster: Evaluating Privacy Metrics for Graph Anonymization and De-Anonymization}},year={2018},isbn={9781450355766},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/3196494.3201586},doi={10.1145/3196494.3201586},booktitle={Proceedings of the 2018 on Asia Conference on Computer and Communications Security},pages={817--819},numpages={3},keywords={graph anonymization, graph de-anonymization, privacy metrics, privacy, privacy-enhancing technologies, monotonicity},location={Incheon, Republic of Korea},series={ASIACCS '18}}
2017
Recommending Privacy Preferences in Location-sharing Services
@phdthesis{Zhao2017phdthesis,title={{Recommending Privacy Preferences in Location-sharing Services}},author={Zhao, Yuchen},year={2017},month=jun,school={University of St Andrews},html={http://hdl.handle.net/10023/11055}}
2016
A Robust Reputation-Based Location-Privacy Recommender System Using Opportunistic Networks
@inproceedings{Zhao2016mobicase,author={Zhao, Yuchen and Ye, Juan and Henderson, Tristan},title={{A Robust Reputation-Based Location-Privacy Recommender System Using Opportunistic Networks}},year={2016},isbn={9781631901379},publisher={ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},address={Brussels, BEL},url={https://doi.org/10.4108/eai.30-11-2016.2267031},doi={10.4108/eai.30-11-2016.2267031},booktitle={Proceedings of the 8th EAI International Conference on Mobile Computing, Applications and Services},pages={62--73},numpages={12},keywords={location-based services, recommender systems, security, opportunistic networks, privacy, shilling attack},location={Cambridge, Great Britain},series={MobiCASE'16}}
The Effect of Privacy Concerns on Privacy Recommenders
@inproceedings{Zhao2016iui,author={Zhao, Yuchen and Ye, Juan and Henderson, Tristan},title={{The Effect of Privacy Concerns on Privacy Recommenders}},year={2016},month=mar,isbn={9781450341370},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/2856767.2856771},doi={10.1145/2856767.2856771},booktitle={Proceedings of the 21st International Conference on Intelligent User Interfaces},pages={218--227},numpages={10},keywords={location-sharing services, privacy preferences, recommender systems, location-based services, user acceptance},location={Sonoma, California, USA},series={IUI '16}}
Usable Privacy in Location-Sharing Services
Zhao, Yuchen
In Companion Publication of the 21st International Conference on Intelligent User Interfaces
Mar
2016
@inproceedings{Zhao2016iui-phd,author={Zhao, Yuchen},title={{Usable Privacy in Location-Sharing Services}},year={2016},month=mar,isbn={9781450341400},publisher={Association for Computing Machinery},address={New York, NY, USA},url={https://doi.org/10.1145/2876456.2876458},doi={10.1145/2876456.2876458},booktitle={Companion Publication of the 21st International Conference on Intelligent User Interfaces},pages={110--113},numpages={4},keywords={recommender systems, usable privacy, location-based services},location={Sonoma, California, USA},series={IUI '16 Companion}}
@inproceedings{Zhao2014mobiquitous,author={Zhao, Yuchen and Ye, Juan and Henderson, Tristan},title={{Privacy-Aware Location Privacy Preference Recommendations}},year={2014},month=dec,isbn={9781631900396},publisher={ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},address={Brussels, BEL},url={https://doi.org/10.4108/icst.mobiquitous.2014.258017},doi={10.4108/icst.mobiquitous.2014.258017},booktitle={Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},pages={120--129},numpages={10},keywords={privacy protection, recommender systems, location-based services, prediction},location={London, United Kingdom},series={MOBIQUITOUS '14}}
(Poster) Recommending Location Privacy Preferences in Ubiquitous Computing
@inproceedings{Zhao2014wisec,author={Zhao, Yuchen and Ye, Juan and Henderson, Tristan},title={{(Poster) Recommending Location Privacy Preferences in Ubiquitous Computing}},url={http://hdl.handle.net/10023/5075},year={2014},month=jul,booktitle={Proceedings of the 7th ACM Conference on Security and Privacy in
Wireless and Mobile Networks},location={Oxford, United Kingdom},series={WiSec '14}}