Mark Zhao

28 papers A* 8Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
SHARD: A Compatibility Framework for Deploying Transformer Models on Edge NPUs.
EuroMLSys@EuroSys
Adhitya Mohan, Richard Thompson, Eric Keller, Mark Zhao
2025 J jnl
Accelerating Mixture-of-Experts Training with Adaptive Expert Replication.
CoRR
Athinagoras Skiadopoulos, Mark Zhao, Swapnil Gandhi, Thomas Norrie, Shrijeet Mukherjee, Christos Kozyrakis
2025 J jnl
Adaptive Semantic Prompt Caching with VectorQ.
CoRR
Luis Gaspar Schroeder, Shu Liu, Alejandro Cuadron, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez
2025 J jnl
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning.
CoRR
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
2025 A* conf
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.
ICML
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
2025 J jnl
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.
CoRR
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
2025 A* conf
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval.
EMNLP
Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025 J jnl
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval.
CoRR
Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025 J jnl
Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments.
CoRR
Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner
2025 J jnl
Remote Power Side- Channel Attacks on FPGAs.
IEEE Des. Test
Mark Zhao, G. Edward Suh
2025 J jnl
Strata: Hierarchical Context Caching for Long Context Language Model Serving.
CoRR
Zhiqiang Xie, Ziyi Xu, Mark Zhao, Yuwei An, Vikram Sharma Mailthody, Scott A. Mahlke, Michael Garland, Christos Kozyrakis
2024 A* conf
High-throughput and Flexible Host Networking for Accelerated Computing.
OSDI
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
2024 A* conf
ReCycle: Resilient Training of Large DNNs using Pipeline Adaptation.
SOSP
Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis
2024 J jnl
SlipStream: Adapting Pipelines for Distributed Training of Large DNNs Amid Failures.
CoRR
Swapnil Gandhi, Mark Zhao, Athinagoras Skiadopoulos, Christos Kozyrakis
2024 J jnl
cedar: Composable and Optimized Machine Learning Input Data Pipelines.
CoRR
Mark Zhao, Emanuel Adamiak, Christos Kozyrakis
2024 J jnl
cedar: Optimized and Unified Machine Learning Input Data Pipelines.
Proc. VLDB Endow.
Mark Zhao, Emanuel Adamiak, Christos Kozyrakis
2023 — conf
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
MLSys
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
2023 — conf
Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training.
USENIX ATC
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
2022 J jnl
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
CoRR
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
2022 A* conf
ShEF: shielded enclaves for cloud FPGAs.
ASPLOS
Mark Zhao, Mingyu Gao, Christos Kozyrakis
2022 A* conf
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.
ISCA
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
2021 — conf
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.
SoCC
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 J jnl
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.
CoRR
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 J jnl
ShEF: Shielded Enclaves for Cloud FPGAs.
CoRR
Mark Zhao, Mingyu Gao, Christos Kozyrakis
2021 J jnl
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.
CoRR
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
2018 A* conf
FPGA-Based Remote Power Side-Channel Attacks.
IEEE Symposium on Security and Privacy
Mark Zhao, G. Edward Suh
2018 A* conf
HyperFlow: A Processor Architecture for Nonmalleable, Timing-Safe Information Flow Security.
CCS
Andrew Ferraiuolo, Mark Zhao, Andrew C. Myers, G. Edward Suh
2018 J jnl
To Centralize or Not to Centralize: A Tale of Swarm Coordination.
CoRR
Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou