Mohammad Alizadeh

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 150

Top Venues

Publications

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)
Lei Yang, Yossi Gilad, Mohammad Alizadeh
Practical Rateless Set Reconciliation. CoRR (2024)
Lloyd Brown, Albert Gran Alcoz, Frank Cangialosi, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Eric J. Friedman, Ethan Katz-Bassett, Arvind Krishnamurthy, Michael Schapira, Scott Shenker
Principles for Internet Congestion Management. SIGCOMM (2024)
Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
m3: Accurate Flow-Level Performance Estimation using Machine Learning. SIGCOMM (2024)
Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR (2024)
Inho Cho, Seo Jin Park, Ahmed Saeed, Mohammad Alizadeh, Adam Belay
LDB: An Efficient Latency Profiling Tool for Multithreaded Applications. NSDI (2024)
Lei Yang, Yossi Gilad, Mohammad Alizadeh
Practical Rateless Set Reconciliation. SIGCOMM (2024)
Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi
Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR (2023)
Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks. CoRR (2023)
Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. CoRR (2023)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1 (1) (2023)
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
Counterfactual Identifiability of Bijective Causal Models. CoRR (2023)
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
Bringing Reconfigurability to the Network Stack. CoRR (2023)
Inho Cho, Ahmed Saeed, Seo Jin Park, Mohammad Alizadeh, Adam Belay
Protego: Overload Control for Applications with Unpredictable Lock Contention. NSDI (2023)
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
Scalable Tail Latency Estimation for Data Center Networks. NSDI (2023)
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
Counterfactual Identifiability of Bijective Causal Models. ICML (2023)
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
Unshackling Database Benchmarking from Synthetic Workloads. ICDE (2023)
Pouya Hamadanian, Doug Gallatin, Mohammad Alizadeh, Krishna Chintalapudi
Ekho: Synchronizing cloud gaming media across multiple endpoints. SIGCOMM (2023)
Mehrdad Khani, 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)
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16 (6) (2023)
Sidharth Sharma, Aniruddha Kushwaha, Mohammad Alizadeh, George Varghese, Ashwin Gumaste
Tuneman: Customizing Networks to Guarantee Application Bandwidth and Latency. ACM Trans. Internet Techn. 23 (1) (2023)
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI (2023)
Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan
Elasticity detection: a building block for internet congestion control. SIGCOMM (2022)
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
Longest Chain Consensus Under Bandwidth Constraint. AFT (2022)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR (2022)
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR (2022)
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
Scalable Tail Latency Estimation for Data Center Networks. CoRR (2022)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51 (1) (2022)
Lei Yang, Yossi Gilad, Mohammad Alizadeh
Coded Transaction Broadcasting for High-throughput Blockchains. CoRR (2022)
Venkat Arun, Mohammad Alizadeh, Hari Balakrishnan
Starvation in end-to-end congestion control. SIGCOMM (2022)
Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay
Efficient Strong Scaling Through Burst Parallel Training. MLSys (2022)
Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. NSDI (2022)
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 (2022)
Prateesh Goyal, Preey Shah, Kevin Zhao, Georgios Nikolaidis, Mohammad Alizadeh, Thomas E. Anderson
Backpressure Flow Control. NSDI (2022)
Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
Optimal Congestion Control for Time-varying Wireless Links. CoRR (2022)
Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh
Reinforcement Learning in Time-Varying Systems: an Empirical Study. CoRR (2022)
Ioannis Kaklamanis, Lei Yang, Mohammad Alizadeh
Poster: Coded Broadcast for Scalable Leader-Based BFT Consensus. CCS (2022)
William Sussman, Emily Marx, Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Aurojit Panda, Scott Shenker
The case for an internet primitive for fault localization. HotNets (2022)
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh
The Effect of Network Topology on Credit Network Throughput. SIGMETRICS Perform. Evaluation Rev. 49 (3) (2022)
Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
Efficient Video Compression via Content-Adaptive Super-Resolution. ICCV (2021)
Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan
Site-to-site internet traffic control. EuroSys (2021)
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
Throughput-Fairness Tradeoffs in Mobility Platforms. CoRR (2021)
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
Updating Street Maps using Changes Detected in Satellite Imagery. SIGSPATIAL/GIS (2021)
Shiyu Liu, Ahmad Ghalayini, Mohammad Alizadeh, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman
Breaking the Transience-Equilibrium Nexus: A New Approach to Datacenter Packet Transport. NSDI (2021)
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. CoRR (2021)
Parimarjan Negi, Ryan C. Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14 (11) (2021)
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR (2021)
Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. IACR Cryptol. ePrint Arch. 2021 (2021)
Venkat Arun, Mina Tahmasbi Arashloo, Ahmed Saeed, Mohammad Alizadeh, Hari Balakrishnan
Toward formally verifying congestion control behavior. SIGCOMM (2021)
Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. ICCV (2021)
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia C. Fanti, Mohammad Alizadeh
The Effect of Network Topology on Credit Network Throughput. CoRR (2021)
Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. CoRR (2021)
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
Throughput-fairness tradeoffs in mobility platforms. MobiSys (2021)
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh
The effect of network topology on credit network throughput. Perform. Evaluation 151 (2021)
Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal
Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference (2021)
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson
SWP: Microsecond Network SLOs Without Priorities. CoRR (2021)
Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. ICCV (2021)
Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan
Toward a Marketplace for Aerial Computing. DroNet@MobiSys (2021)
Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
Efficient Video Compression via Content-Adaptive Super-Resolution. CoRR (2021)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Conference (2021)
Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay
Efficient Strong Scaling Through Burst Parallel Training. CoRR (2021)
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)
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR (2021)
Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
Inferring and improving street maps with data-driven automation. Commun. ACM 64 (11) (2021)
Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
Updating Street Maps using Changes Detected in Satellite Imagery. CoRR (2021)
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP (2020)
Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
BeeCluster: drone orchestration via predictive optimization. MobiSys (2020)
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
Cortex: Harnessing Correlations to Boost Query Performance. CoRR (2020)
Inho Cho, Ahmed Saeed, Joshua Fried, Seo Jin Park, Mohammad Alizadeh, Adam Belay
Overload Control for µs-scale RPCs with Breakwater. OSDI (2020)
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops (2020)
Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan
ABC: A Simple Explicit Congestion Controller for Wireless Networks. NSDI (2020)
Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker
Bertha: Tunneling through the Network API. HotNets (2020)
Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. CoRR (2020)
Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. AAAI (2020)
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference (2020)
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. CoRR (2020)
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding. ECCV (24) (2020)
Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan
Site-to-Site Internet Traffic Control. CoRR (2020)
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
Learning Multi-Dimensional Indexes. SIGMOD Conference (2020)
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
Learned Garbage Collection. CoRR (2020)
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
Learned garbage collection. MAPL@PLDI (2020)
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19 (8) (2020)
Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Kathleen Ruan, Parimarjan Negi, Lei Yang, Radhika Mittal, Giulia C. Fanti, Mohammad Alizadeh
High Throughput Cryptocurrency Routing in Payment Channel Networks. NSDI (2020)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Learning to Steer Query Optimizers. CoRR (2020)
Ahmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif, Rong Pan, Mostafa H. Ammar, Ellen W. Zegura, Keon Jang, Mohammad Alizadeh, Abdul Kabbani, Amin Vahdat
Annulus: A Dual Congestion Control Loop for Datacenter and WAN Traffic Aggregates. SIGCOMM (2020)
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR (2020)
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
Real-world Video Adaptation with Reinforcement Learning. CoRR (2020)
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. Proc. VLDB Endow. 14 (2) (2020)
Ryan C. Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12 (11) (2019)
Lei Yang, Vivek Kumar Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia C. Fanti, Pramod Viswanath
Prism: Scaling Bitcoin by 10, 000x. CoRR (2019)
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
SageDB: A Learned Database System. CIDR (2019)
Aisha Mushtaq, Radhika Mittal, James Murphy McCauley, Mohammad Alizadeh, Sylvia Ratnasamy, Scott Shenker
Datacenter congestion control: identifying what is essential and making it practical. Comput. Commun. Rev. 49 (3) (2019)
Yuliang Li, Rui Miao, Hongqiang Harry Liu, Yan Zhuang, Fei Feng, Lingbo Tang, Zheng Cao, Ming Zhang, Frank Kelly, Mohammad Alizadeh, Minlan Yu
HPCC: high precision congestion control. SIGCOMM (2019)
Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks. CoRR (2019)
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden
Machine-Assisted Map Editing. CoRR (2019)
Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. NeurIPS (2019)
Assaf Eisenman, Asaf Cidon, Evgenya Pergament, Or Haimovich, Ryan Stutsman, Mohammad Alizadeh, Sachin Katti
Flashield: a Hybrid Key-value Cache that Controls Flash Write Amplification. NSDI (2019)
Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh
End-to-end transport for video QoE fairness. SIGCOMM (2019)
Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
Inferring and Improving Street Maps with Data-Driven Automation. CoRR (2019)
Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohammad Alizadeh