Kevin Hsieh

Chercheur principal

Papiers de Collaboration

Afficher par:

- Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
  
  Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
  
  Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
  
  Preprint
- Enhancing Network Failure Mitigation with Performance-Aware Ranking
  
  Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
  
  NSDI '25 | February 2025
  
  Preprint
- NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
  
  Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
  
  USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
  
  Author's Version Publication Github
- Enhancing Network Management Using Code Generated by Large Language Models
  
  Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication Preprint Github
- Securing Public Clouds using Dynamic Communication Graphs
  
  Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication
- Federated Learning under Distributed Concept Drift
  
  Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
  
  Selected as Oral Presentation (Top 2% Submissions)
  
  Publication Github
- RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  
  Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  
  USENIX NSDI | April 2023
  
  Publication Projet
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
  
  Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  USENIX NSDI | April 2022
  
  Publication Github Projet Projet
- FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
  
  Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
  
  MSR-TR-2022-30 | February 2022
  
  Publié par Microsoft
  
  Publication Projet
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication
- Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
  
  Behnaz Arzani, Kevin Hsieh, Haoxian Chen
  
  HotNets 2021 | November 2021
  
  Publication
- Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
  
  Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
  
  HotNets 2021 | November 2021
  
  Publication Author's Version
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
  
  Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  MSR-TR-2020-44 | December 2020
  
  Publié par Microsoft
  
  arXiv:2012.10557
  
  Publication Projet Projet
- The Non-IID Data Quagmire of Decentralized Machine Learning
  
  Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
  
  International Conference on Machine Learning (ICML 2020) | July 2020
  
  PDF Publication Projet
- CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2019
  
  Publication
- Focus: Querying Large Video Datasets with Low Latency and Low Cost
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
  
  USENIX OSDI | October 2018
  
  Publication Projet Projet
- A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
  
  Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
  
  Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
  
  MSR-TR-2018-1 | January 2018
  
  Publié par Microsoft
  
  arXiv:1801.03493
  
  Publication Projet
- Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
  
  Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
  
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
  
  Publication
- Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
  
  Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
  
  Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
  
  Publication
- Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
  
  Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
  
  International Conference on Computer Design (ICCD) | October 2016
  
  Publication
- Zorua: A Holistic Approach to Resource Virtualization in GPUs
  
  Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Microarchitecture (MICRO) | October 2016
  
  Publication
- LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  IEEE Computer Architecture Letters (CAL) | June 2016, Vol 16(1)
  
  Publication
- Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
  
  Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
  
  International Symposium on Computer Architecture (ISCA) | June 2016
  
  Publication
- Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
  
  Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
  
  International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
  
  Publication
- Fast Bulk Bitwise AND and OR in DRAM
  
  Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
  
  IEEE Computer Architecture Letters (CAL) | April 2015, Vol 14(2)
  
  Publication

- Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
  
  Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
  
  Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
  
  Preprint
- Enhancing Network Failure Mitigation with Performance-Aware Ranking
  
  Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
  
  NSDI '25 | February 2025
  
  Preprint
- NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
  
  Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
  
  USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
  
  Author's Version Publication Github
- Securing Public Clouds using Dynamic Communication Graphs
  
  Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication
- Enhancing Network Management Using Code Generated by Large Language Models
  
  Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication Preprint Github
- Federated Learning under Distributed Concept Drift
  
  Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
  
  Selected as Oral Presentation (Top 2% Submissions)
  
  Publication Github
- RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  
  Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  
  USENIX NSDI | April 2023
  
  Publication Projet
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
  
  Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  USENIX NSDI | April 2022
  
  Publication Github Projet Projet
- FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
  
  Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
  
  MSR-TR-2022-30 | February 2022
  
  Publié par Microsoft
  
  Publication Projet
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication
- Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
  
  Behnaz Arzani, Kevin Hsieh, Haoxian Chen
  
  HotNets 2021 | November 2021
  
  Publication
- Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
  
  Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
  
  HotNets 2021 | November 2021
  
  Publication Author's Version
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
  
  Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  MSR-TR-2020-44 | December 2020
  
  Publié par Microsoft
  
  arXiv:2012.10557
  
  Publication Projet Projet
- The Non-IID Data Quagmire of Decentralized Machine Learning
  
  Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
  
  International Conference on Machine Learning (ICML 2020) | July 2020
  
  PDF Publication Projet
- Focus: Querying Large Video Datasets with Low Latency and Low Cost
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
  
  USENIX OSDI | October 2018
  
  Publication Projet Projet
- The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
  
  Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
  
  Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
  
  MSR-TR-2018-1 | January 2018
  
  Publié par Microsoft
  
  arXiv:1801.03493
  
  Publication Projet
- Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
  
  Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
  
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
  
  Publication
- Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
  
  Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
  
  Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
  
  Publication
- Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
  
  Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
  
  International Conference on Computer Design (ICCD) | October 2016
  
  Publication
- Zorua: A Holistic Approach to Resource Virtualization in GPUs
  
  Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Microarchitecture (MICRO) | October 2016
  
  Publication
- Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
  
  Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
  
  International Symposium on Computer Architecture (ISCA) | June 2016
  
  Publication
- Enhancing Network Management Using Code Generated by Large Language Models
  
  Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication Preprint Github
- Federated Learning under Distributed Concept Drift
  
  Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
  
  Selected as Oral Presentation (Top 2% Submissions)
  
  Publication Github
- FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
  
  Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
  
  MSR-TR-2022-30 | February 2022
  
  Publié par Microsoft
  
  Publication Projet
- The Non-IID Data Quagmire of Decentralized Machine Learning
  
  Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
  
  International Conference on Machine Learning (ICML 2020) | July 2020
  
  PDF Publication Projet
- Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
  
  Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
  
  Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
  
  Publication
- RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  
  Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  
  USENIX NSDI | April 2023
  
  Publication Projet
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
  
  Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  MSR-TR-2020-44 | December 2020
  
  Publié par Microsoft
  
  arXiv:2012.10557
  
  Publication Projet Projet
- Focus: Querying Large Video Datasets with Low Latency and Low Cost
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
  
  USENIX OSDI | October 2018
  
  Publication Projet Projet
- Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
  
  MSR-TR-2018-1 | January 2018
  
  Publié par Microsoft
  
  arXiv:1801.03493
  
  Publication Projet
- CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2019
  
  Publication
- The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
  
  Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
  
  Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
  
  Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
  
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
  
  Publication
- Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
  
  Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
  
  International Conference on Computer Design (ICCD) | October 2016
  
  Publication
- Zorua: A Holistic Approach to Resource Virtualization in GPUs
  
  Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Microarchitecture (MICRO) | October 2016
  
  Publication
- Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
  
  Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
  
  International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
  
  Publication
- LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  IEEE Computer Architecture Letters (CAL) | June 2016, Vol 16(1)
  
  Publication
- Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
  
  Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
  
  International Symposium on Computer Architecture (ISCA) | June 2016
  
  Publication
- Fast Bulk Bitwise AND and OR in DRAM
  
  Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
  
  IEEE Computer Architecture Letters (CAL) | April 2015, Vol 14(2)
  
  Publication

- Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
  
  Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
  
  Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
  
  Preprint
- Enhancing Network Failure Mitigation with Performance-Aware Ranking
  
  Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
  
  NSDI '25 | February 2025
  
  Preprint
- NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
  
  Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
  
  USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
  
  Author's Version Publication Github
- Securing Public Clouds using Dynamic Communication Graphs
  
  Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication
- Enhancing Network Management Using Code Generated by Large Language Models
  
  Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
  
  ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
  
  Publication Preprint Github
- Federated Learning under Distributed Concept Drift
  
  Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
  
  Selected as Oral Presentation (Top 2% Submissions)
  
  Publication Github
- RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  
  Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  
  USENIX NSDI | April 2023
  
  Publication Projet
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
  
  Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  USENIX NSDI | April 2022
  
  Publication Github Projet Projet
- Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
  
  Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
  
  MLSys | January 2022
  
  Publication
- Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
  
  Behnaz Arzani, Kevin Hsieh, Haoxian Chen
  
  HotNets 2021 | November 2021
  
  Publication
- Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
  
  Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
  
  HotNets 2021 | November 2021
  
  Publication Author's Version
- The Non-IID Data Quagmire of Decentralized Machine Learning
  
  Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
  
  International Conference on Machine Learning (ICML 2020) | July 2020
  
  PDF Publication Projet
- CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2019
  
  Publication
- Focus: Querying Large Video Datasets with Low Latency and Low Cost
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
  
  USENIX OSDI | October 2018
  
  Publication Projet Projet
- The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
  
  Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
  
  Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Computer Architecture (ISCA) | June 2018
  
  Publication
- Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
  
  Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
  
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
  
  Publication
- Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
  
  Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
  
  Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
  
  Publication
- Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
  
  Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
  
  International Conference on Computer Design (ICCD) | October 2016
  
  Publication
- Zorua: A Holistic Approach to Resource Virtualization in GPUs
  
  Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
  
  International Symposium on Microarchitecture (MICRO) | October 2016
  
  Publication
- Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
  
  Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
  
  International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
  
  Publication
- Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
  
  Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
  
  International Symposium on Computer Architecture (ISCA) | June 2016
  
  Publication
- FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
  
  Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
  
  MSR-TR-2022-30 | February 2022
  
  Publié par Microsoft
  
  Publication Projet
- Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
  
  Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
  
  MSR-TR-2020-44 | December 2020
  
  Publié par Microsoft
  
  arXiv:2012.10557
  
  Publication Projet Projet
- Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
  
  Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
  
  MSR-TR-2018-1 | January 2018
  
  Publié par Microsoft
  
  arXiv:1801.03493
  
  Publication Projet
- LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
  
  Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
  
  IEEE Computer Architecture Letters (CAL) | June 2016, Vol 16(1)
  
  Publication
- Fast Bulk Bitwise AND and OR in DRAM
  
  Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
  
  IEEE Computer Architecture Letters (CAL) | April 2015, Vol 14(2)
  
  Publication