Kevin Hsieh

48 papers A* 8A 2B 1C 2Misc 10Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
OrbitalBrain: A Distributed Framework for Training ML Models in Space.
NINeS
Om Chabra, Chenning Li, Kevin Hsieh, Santiago Segarra, Behnaz Arzani, Peder A. Olsen, Ranveer Chandra
2025 J jnl
A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator.
CoRR
Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Eli Cortez, Ankur Mallick, Kevin Hsieh, Rodrigo Fonseca, Mohammad Hajiesmaili, Behnaz Arzani
2025 Misc conf
Enhancing Network Failure Mitigation with Performance-Aware Ranking.
NSDI
Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
2025 J jnl
MeshAgent: Enabling Reliable Network Management with Large Language Models.
Proc. ACM Meas. Anal. Comput. Syst.
Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu
2025 J jnl
NetPress: Dynamically Generated LLM Benchmarks for Network Applications.
CoRR
Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu
2025 J jnl
Orchestration for Domain-specific Edge-Cloud Language Models.
CoRR
Prasoon Patidar, Alex Crown, Kevin Hsieh, Yifei Xu, Tusher Chakraborty, Ranveer Chandra, Yuvraj Agarwal
2025 Misc conf
Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation.
NSDI
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
2024 Misc conf
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security.
NSDI
Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
2023 Misc conf
Enhancing Network Management Using Code Generated by Large Language Models.
HotNets
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
2023 J jnl
Enhancing Network Management Using Code Generated by Large Language Models.
CoRR
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula
2023 A conf
Federated Learning under Distributed Concept Drift.
AISTATS
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
2023 J jnl
Mitigating the Performance Impact of Network Failures in Public Clouds.
CoRR
Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan
2023 Misc conf
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics.
NSDI
Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
2023 Misc conf
Securing Public Clouds using Dynamic Communication Graphs.
HotNets
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
2022 Misc conf
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.
NSDI
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
2022 J jnl
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations.
CoRR
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra
2022 J jnl
Federated Learning under Distributed Concept Drift.
CoRR
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
2022 — conf
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems.
MLSys
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
2021 J jnl
Interpret-able feedback for AutoML systems.
CoRR
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
2021 Misc conf
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking.
HotNets
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
2021 Misc conf
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks.
HotNets
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
2021 J jnl
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks.
CoRR
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
2020 — conf
Benchmarking of computational error-correction methods for next-generation sequencing data.
BCB
Keith Mitchell, Jaqueline J. Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry (Taegyun) Yang, Kevin Hsieh, Linus Chen, Eli Littman, Taylor Shabani, German Enik, Douglas Yao, Ren Sun, Jan Schroeder, Eleazar Eskin, Alex Zelikovsky, Pavel Skums, Mihai Pop, Serghei Mangul
2020 J jnl
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers.
CoRR
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
2020 A* conf
The Non-IID Data Quagmire of Decentralized Machine Learning.
ICML
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
2019 A* conf
CoNDA: efficient cache coherence support for near-data accelerators.
ISCA
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
2019 J jnl
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data.
CoRR
Kevin Hsieh
2019 J jnl
The Non-IID Data Quagmire of Decentralized Machine Learning.
CoRR
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
2018 A* conf
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory.
ISCA
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance.
CoRR
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions.
CoRR
Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu
2018 J jnl
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips.
CoRR
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu
2018 A* conf
Focus: Querying Large Video Datasets with Low Latency and Low Cost.
OSDI
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Focus: Querying Large Video Datasets with Low Latency and Low Cost.
CoRR
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
2018 A* conf
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs.
ISCA
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
2018 J jnl
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management.
CoRR
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu
2017 B conf
D-SLATS: Distributed Simultaneous Localization and Time Synchronization.
MobiHoc
Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava
2017 J jnl
D-SLATS: Distributed Simultaneous Localization and Time Synchronization.
CoRR
Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava
2017 Misc conf
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds.
NSDI
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
2017 J jnl
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory.
IEEE Comput. Archit. Lett.
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
2017 J jnl
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures.
CoRR
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
2017 A conf
Toward standardized near-data processing with unrestricted data placement for GPUs.
SC
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
2016 C conf
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation.
ICCD
Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
2016 A* conf
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems.
ISCA
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
2016 A* conf
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.
SIGMETRICS
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu
2016 A* conf
Zorua: A holistic approach to resource virtualization in GPUs.
MICRO
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
2015 J jnl
Fast Bulk Bitwise AND and OR in DRAM.
IEEE Comput. Archit. Lett.
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
2011 C conf
Optical diagnostics of electrical discharge water spray reactors for chemical synthesis.
IAS
Kevin Hsieh, Radu Burlica, Bruce R. Locke