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ORCIDMehrdad Khani Shirkoohi
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (former): Sharif University of Technology, Tehran, Iran
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Books and Theses
- 2023
[b1]Mehrdad Khani Shirkoohi:
Continuous Learning for Lightweight Machine Learning Inference at the Edge. MIT, USA, 2023
Journal Articles
- 2020
- [j1]Mehrdad Khani Shirkoohi
, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19(8): 5635-5648 (2020)
Conference and Workshop Papers
- 2024
- [c8]Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI 2024: 569-590 - 2023
- [c7]Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl:
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. NSDI 2023: 917-932 - 2021
- [c6]Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. ICCV 2021: 4501-4510 - [c5]Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. ICCV 2021: 4552-4562 - [c4]Mehrdad Khani Shirkoohi, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi:
SiP-ML: high-bandwidth optical network interconnects for machine learning training. SIGCOMM 2021: 657-675 - 2020
- [c3]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP 2020: 8565-8568 - 2019
- [c2]Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh:
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 2019: 2490-2502 - [c1]Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh:
End-to-end transport for video QoE fairness. SIGCOMM 2019: 408-423
Informal and Other Publications
- 2022
- [i6]Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR abs/2209.10507 (2022) - 2021
- [i5]Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. CoRR abs/2104.02322 (2021) - 2020
- [i4]Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. CoRR abs/2006.06628 (2020) - 2019
- [i3]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. CoRR abs/1906.04610 (2019) - 2016
- [i2]Amir Najafi, Damoun Nashta-ali, Abolfazl Seyed Motahari, Mehrdad Khani Shirkoohi, Babak Hossein Khalaj, Hamid R. Rabiee:
Fundamental Limits of Pooled-DNA Sequencing. CoRR abs/1604.04735 (2016) - 2015
- [i1]Babak Fotouhi, Mehrdad Khani Shirkoohi:
Temporal Dynamics of Connectivity and Epidemic Properties of Growing Networks. CoRR abs/1512.02014 (2015)
Coauthor Index
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