Mehrdad Khani

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Mohammad AlizadehAssociate Professor of Computer Science, MITVerified email at csail.mit.edu
Jakob HoydisNVIDIA ResearchVerified email at nvidia.com
Philip FlemingAnn Arbor AnalyticsVerified email at annarbor-analytics.com
Vibhaalakshmi SivaramanMITVerified email at mit.edu
Manya GhobadiMITVerified email at csail.mit.edu
Amin VahdatGoogleVerified email at cs.ucsd.edu
Eiman EbrahimiProtopia AIVerified email at protopia.ai
Keren BergmanColumbia UniversityVerified email at ee.columbia.edu
Madeleine GlickColumbia UniversityVerified email at columbia.edu
Hongzi MaoMITVerified email at mit.edu
Songtao HeMITVerified email at alum.mit.edu
Ganesh AnanthanarayananSenior Principal Researcher at MicrosoftVerified email at microsoft.com
Victor BahlTechnical Fellow & CTO Azure For Operators, Microsoft CorporationVerified email at microsoft.com
Kevin HsiehPrincipal Researcher at MicrosoftVerified email at microsoft.com
Ravi NetravaliAssociate Professor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Yuanchao ShuMicrosoft ResearchVerified email at microsoft.com
Junchen JiangUniversity of ChicagoVerified email at uchicago.edu
Sadjad FouladiSenior Researcher at Microsoft ResearchVerified email at microsoft.com
Benjamin KlenkResearch Scientist, NVIDIA Corp.Verified email at nvidia.com

Mehrdad Khani

MIT

Verified email at mit.edu - Homepage

Computer Networks Machine Learning Systems


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Adaptive neural signal detection for massive MIMO M Khani, M Alizadeh, J Hoydis, P Fleming IEEE Transactions on Wireless Communications 19 (8), 5635-5648, 2020	269	2020
Park: An open platform for learning augmented computer systems H Mao, P Negi, A Narayan, H Wang, J Yang, H Wang, R Marcus, ... Advances in Neural Information Processing Systems, 2019	108	2019
SiP-ML: high-bandwidth optical network interconnects for machine learning training M Khani, M Ghobadi, M Alizadeh, Z Zhu, M Glick, K Bergman, A Vahdat, ... Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 657-675, 2021	100	2021
End-to-end transport for video QoE fairness V Nathan, V Sivaraman, R Addanki, M Khani, P Goyal, M Alizadeh Proceedings of the ACM Special Interest Group on Data Communication, 408-423, 2019	83	2019
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics M Khani, G Ananthanarayanan, K Hsieh, J Jiang, R Netravali, Y Shu, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), 2023	62	2023
Efficient video compression via content-adaptive super-resolution M Khani, V Sivaraman, M Alizadeh Proceedings of the IEEE/CVF international conference on computer vision …, 2021	56	2021
Real-time video inference on edge devices via adaptive model streaming M Khani, P Hamadanian, A Nasr-Esfahany, M Alizadeh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	42	2021
Gemino: Practical and robust neural compression for video conferencing V Sivaraman, P Karimi, V Venkatapathy, M Khani, S Fouladi, M Alizadeh, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024	11	2024
Temporal dynamics of connectivity and epidemic properties of growing networks B Fotouhi, M Khani Physical Review E 93 (1), 012301, 2016	5	2016
Exploiting channel locality for adaptive massive mimo signal detection M Khani, M Alizadeh, J Hoydis, P Fleming ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020	3	2020
Continuous Learning for Lightweight Machine Learning Inference at the Edge M Khani Massachusetts Institute of Technology, 2023		2023
Adaptive Neural Signal Detection for Massive MIMO M Khani Massachusetts Institute of Technology, 2019		2019

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