Optical diagnostics of electrical discharge water spray reactors for chemical synthesis. - Kevin Hsieh; Radu Burlica; Bruce R. Locke (IAS, 2011)

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 Comput. Archit. Lett., 2015)

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 (ICCD, 2016)

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 (ISCA, 2016)

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 (MICRO, 2016)

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 001; Gennady Pekhimenko; Samira Manabi Khan; Onur Mutlu (SIGMETRICS, 2016)

D-SLATS: Distributed Simultaneous Localization and Time Synchronization. - Amr Al-Anwar 001; Henrique Ferraz; Kevin Hsieh; Rohit Thazhath; Paul Martin 008; João Pedro Hespanha; Mani B. Srivastava (MobiHoc, 2017)

Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. - Kevin Hsieh; Aaron Harlap; Nandita Vijaykumar; Dimitris Konomis; Gregory R. Ganger; Phillip B. Gibbons; Onur Mutlu (NSDI, 2017)

Toward standardized near-data processing with unrestricted data placement for GPUs. - Gwangsun Kim; Niladrish Chatterjee; Mike O'Connor; Kevin Hsieh (SC, 2017)

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 Comput. Archit. Lett., 2017)

LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. - Amirali Boroumand; Saugata Ghose; Minesh Patel; Hasan Hassan; Brandon Lucia; Nastaran Hajinazar; Kevin Hsieh; Krishna T. Malladi; Hongzhong Zheng; Onur Mutlu (CoRR, 2017)

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 (ISCA, 2018)

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 (ISCA, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Shivaram Venkataraman; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (OSDI, 2018)

Focus: Querying Large Video Datasets with Low Latency and Low Cost. - Kevin Hsieh; Ganesh Ananthanarayanan; Peter Bodík; Paramvir Bahl; Matthai Philipose; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions. - Saugata Ghose; Kevin Hsieh; Amirali Boroumand; Rachata Ausavarungnirun; Onur Mutlu (CoRR, 2018)

Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. - Nandita Vijaykumar; Kevin Hsieh; Gennady Pekhimenko; Samira Manabi Khan; Ashish Shrestha; Saugata Ghose; Adwait Jog; Phillip B. Gibbons; Onur Mutlu (CoRR, 2018)

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. - Kevin K. Chang; Abhijith Kashyap; Hasan Hassan; Saugata Ghose; Kevin Hsieh; Donghyuk Lee; Tianshi Li 001; Gennady Pekhimenko; Samira Manabi Khan; Onur Mutlu (CoRR, 2018)

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 (ISCA, 2019)

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data. - Kevin Hsieh (CoRR, 2019)

Benchmarking of computational error-correction methods for next-generation sequencing data. - 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; et al. (BCB, 2020)

The Non-IID Data Quagmire of Decentralized Machine Learning. - Kevin Hsieh; Amar Phanishayee; Onur Mutlu; Phillip B. Gibbons (ICML, 2020)

Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. - Behnaz Arzani; Kevin Hsieh; Haoxian Chen 001 (HotNets, 2021)

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 001; Srikanth Kandula (HotNets, 2021)

Interpret-able feedback for AutoML systems. - Behnaz Arzani; Kevin Hsieh; Haoxian Chen 001 (CoRR, 2021)

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. - Ankur Mallick; Kevin Hsieh; Behnaz Arzani; Gauri Joshi (MLSys, 2022)

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 (NSDI, 2022)

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. - Jinhyun So; Kevin Hsieh; Behnaz Arzani; Shadi A. Noghabi; Salman Avestimehr; Ranveer Chandra (CoRR, 2022)

Federated Learning under Distributed Concept Drift. - Ellango Jothimurugesan; Kevin Hsieh; Jianyu Wang; Gauri Joshi; Phillip B. Gibbons (AISTATS, 2023)

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 (HotNets, 2023)

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 (HotNets, 2023)

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 (NSDI, 2023)

Mitigating the Performance Impact of Network Failures in Public Clouds. - Pooria Namyar; Behnaz Arzani; Daniel Crankshaw; Daniel S. Berger; Kevin Hsieh; Srikanth Kandula; Ramesh Govindan (CoRR, 2023)

Enhancing Network Management Using Code Generated by Large Language Models. - Sathiya Kumaran Mani; Yajie Zhou; Kevin Hsieh; Santiago Segarra; Ranveer Chandra; Srikanth Kandula (CoRR, 2023)

NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. - Kevin Hsieh; Mike Wong 003; Santiago Segarra; Sathiya Kumaran Mani; Trevor Eberl; Anatoliy Panasyuk; Ravi Netravali; Ranveer Chandra; Srikanth Kandula (NSDI, 2024)

Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation. - Sathiya Kumaran Mani; Kevin Hsieh; Santiago Segarra; Ranveer Chandra; Yajie Zhou; Srikanth Kandula (NSDI, 2025)

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 (NSDI, 2025)

NetPress: Dynamically Generated LLM Benchmarks for Network Applications. - Yajie Zhou; Jiajun Ruan; Eric S. Wang; Sadjad Fouladi; Francis Y. Yan; Kevin Hsieh; Zaoxing Liu (CoRR, 2025)

Orchestration for Domain-specific Edge-Cloud Language Models. - Prasoon Patidar; Alex Crown; Kevin Hsieh; Yifei Xu; Tusher Chakraborty; Ranveer Chandra; Yuvraj Agarwal (CoRR, 2025)