Mark Zhao

According to our database, Mark Zhao authored at least 25 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval.

Junyoung Kim, Anton Korikov, Jiazhou Liang, Justin Cui, Yifan Simon Liu, Qianfeng Wen, Mark Zhao, Scott Sanner

CoRR, April, 2026

SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling.

Athinagoras Skiadopoulos, Mark Zhao, Swapnil Gandhi, Thomas Norrie, Shrijeet Mukherjee, Christos Kozyrakis

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

SHARD: A Compatibility Framework for Deploying Transformer Models on Edge NPUs.

Adhitya Mohan, Richard Thompson, Eric Keller, Mark Zhao

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments.

Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner

CoRR, October, 2025

ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning.

Hanyang Chen, Mark Zhao, Rui Yang, Qinwei Ma, Ke Yang, Jiarui Yao, Kangrui Wang, Hao Bai, Zhenhailong Wang, Rui Pan, Mengchao Zhang, Jose A. Barreiros, Aykut Özgün Önol, ChengXiang Zhai, Heng Ji, Manling Li, Huan Zhang, Tong Zhang

CoRR, October, 2025

Strata: Hierarchical Context Caching for Long Context Language Model Serving.

Zhiqiang Xie, Ziyi Xu, Mark Zhao, Yuwei An, Vikram Sharma Mailthody, Scott A. Mahlke, Michael Garland, Christos Kozyrakis

CoRR, August, 2025

Accelerating Mixture-of-Experts Training with Adaptive Expert Replication.

Athinagoras Skiadopoulos, Mark Zhao, Swapnil Gandhi, Thomas Norrie, Shrijeet Mukherjee, Christos Kozyrakis

CoRR, April, 2025

Remote Power Side- Channel Attacks on FPGAs.

Mark Zhao, G. Edward Suh

IEEE Des. Test, February, 2025

Adaptive Semantic Prompt Caching with VectorQ.

Luis Gaspar Schroeder, Shu Liu, Alejandro Cuadron, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez

CoRR, February, 2025

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.

Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval.

Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

cedar: Optimized and Unified Machine Learning Input Data Pipelines.

Mark Zhao, Emanuel Adamiak, Christos Kozyrakis

Proc. VLDB Endow., October, 2024

SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures.

Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis

CoRR, 2024

cedar: Composable and Optimized Machine Learning Input Data Pipelines.

Mark Zhao, Emanuel Adamiak, Christos Kozyrakis

CoRR, 2024

ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation.

Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis

Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles, 2024

High-throughput and Flexible Host Networking for Accelerated Computing.

Athinagoras Skiadopoulos, Zhiqiang Xie, Mark Zhao, Qizhe Cai, Saksham Agarwal, Jacob Adelmann, David Ahern, Carlo Contavalli, Michael D. Goldflam, Vitaly Mayatskikh, Raghu Raja, Daniel Walton, Rachit Agarwal, Shrijeet Mukherjee, Christos Kozyrakis

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

2023

Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training.

Mark Zhao, Satadru Pan, Niket Agarwal, Zhaoduo Wen, David Xu, Anand Natarajan, Pavan Kumar, Shiva Shankar P., Ritesh Tijoriwala, Karan Asher, Hao Wu, Aarti Basant, Daniel Ford, Delia David, Nezih Yigitbasi, Pratap Singh, Carole-Jean Wu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.

Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.

Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

ShEF: shielded enclaves for cloud FPGAs.

Mark Zhao, Mingyu Gao, Christos Kozyrakis

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.

Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol

CoRR, 2021

Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.

Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2018

To Centralize or Not to Centralize: A Tale of Swarm Coordination.

Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou

CoRR, 2018

FPGA-Based Remote Power Side-Channel Attacks.

Mark Zhao, G. Edward Suh

Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

HyperFlow: A Processor Architecture for Nonmalleable, Timing-Safe Information Flow Security.

Andrew Ferraiuolo, Mark Zhao, Andrew C. Myers, G. Edward Suh

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018