Kevin Hsieh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Video Analytics

Resource Management

Data Processing

Top Venues

Publications

Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI (2024)
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
Federated Learning under Distributed Concept Drift. AISTATS (2023)
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
Enhancing Network Management Using Code Generated by Large Language Models. HotNets (2023)
Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan
Mitigating the Performance Impact of Network Failures in Public Clouds. CoRR (2023)
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
Securing Public Clouds using Dynamic Communication Graphs. HotNets (2023)
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula
Enhancing Network Management Using Code Generated by Large Language Models. CoRR (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)
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys (2022)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI (2022)
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
Federated Learning under Distributed Concept Drift. CoRR (2022)
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR (2022)
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR (2021)
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets (2021)
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
Interpret-able feedback for AutoML systems. CoRR (2021)
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. HotNets (2021)
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
The Non-IID Data Quagmire of Decentralized Machine Learning. ICML (2020)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR (2020)
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
Benchmarking of computational error-correction methods for next-generation sequencing data. BCB (2020)
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
CoNDA: efficient cache coherence support for near-data accelerators. ISCA (2019)
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
The Non-IID Data Quagmire of Decentralized Machine Learning. CoRR (2019)
Kevin Hsieh
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data. CoRR (2019)
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. CoRR (2018)
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory. ISCA (2018)
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs. ISCA (2018)
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. CoRR (2018)
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
Focus: Querying Large Video Datasets with Low Latency and Low Cost. OSDI (2018)
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
Focus: Querying Large Video Datasets with Low Latency and Low Cost. CoRR (2018)
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. CoRR (2018)
Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions. CoRR (2018)
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. CoRR (2017)
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. NSDI (2017)
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
Toward standardized near-data processing with unrestricted data placement for GPUs. SC (2017)
Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava
D-SLATS: Distributed Simultaneous Localization and Time Synchronization. MobiHoc (2017)
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory. IEEE Comput. Archit. Lett. 16 (1) (2017)
Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava
D-SLATS: Distributed Simultaneous Localization and Time Synchronization. CoRR (2017)
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization. SIGMETRICS (2016)
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
Zorua: A holistic approach to resource virtualization in GPUs. MICRO (2016)
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA (2016)
Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. ICCD (2016)
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
Fast Bulk Bitwise AND and OR in DRAM. IEEE Comput. Archit. Lett. 14 (2) (2015)
Kevin Hsieh, Radu Burlica, Bruce R. Locke
Optical diagnostics of electrical discharge water spray reactors for chemical synthesis. IAS (2011)