Kevin Hsieh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
12
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGCOMM | DEMO: NetArena Adaptation for Next Waves of Network Benchmarks. | Yajie Zhou, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu |
| 2026 | SIGMETRICS | MeshAgent: Enabling Reliable Network Management with Large Language Models. | Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu |
| 2025 | NSDI | Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation. | Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula |
| 2025 | NSDI | Enhancing Network Failure Mitigation with Performance-Aware Ranking. | Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani |
| 2024 | NSDI | 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 |
| 2023 | AISTATS | Federated Learning under Distributed Concept Drift. | Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons |
| 2023 | HOTNETS | 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 |
| 2023 | HOTNETS | 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 |
| 2023 | NSDI | RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. | Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl |
| 2022 | NSDI | 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, Paramvir Bahl, Ion Stoica |
| 2021 | HOTNETS | Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. | Behnaz Arzani, Kevin Hsieh, Haoxian Chen |
| 2021 | HOTNETS | Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. | Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula |
| 2020 | ICML | The Non-IID Data Quagmire of Decentralized Machine Learning. | Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons |
| 2019 | ISCA | 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 |
| 2018 | ISCA | 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 |
| 2018 | ISCA | 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 |
| 2018 | OSDI | Focus: Querying Large Video Datasets with Low Latency and Low Cost. | Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodk, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu |
| 2017 | MOBIHOC | D-SLATS: Distributed Simultaneous Localization and Time Synchronization. | Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, Joo Pedro Hespanha, Mani B. Srivastava |
| 2017 | NSDI | Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. | Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu |
| 2017 | SC | Toward standardized near-data processing with unrestricted data placement for GPUs. | Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh |
| 2016 | ICCD | Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. | Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu |
| 2016 | ISCA | 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 |
| 2016 | MICRO | Zorua: A holistic approach to resource virtualization in GPUs. | Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu |
| 2016 | SIGMETRICS | Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization. | Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu |