Nathan Zhang

Orcid: 0000-0002-7959-7000

According to our database1, Nathan Zhang authored at least 19 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Excess iron in deep gray matter is associated with cognitive and functional decline: The mediating role of white matter myelin.
NeuroImage, 2026

Utilizing virtual reality to improve ICU visual displays.
Int. J. Medical Informatics, 2026

Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

FuseFlow: A Fusion-Centric Compilation Framework for Sparse Deep Learning on Streaming Dataflow.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025
Cyclotron: Compilation of Recurrences to Distributed and Systolic Architectures.
CoRR, November, 2025

Streaming Tensor Program: A streaming abstraction for dynamic parallelism.
CoRR, November, 2025

AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence.
CoRR, March, 2025

A Probabilistic Perspective on Tiling Sparse Tensor Algebra.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024
DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings.
CoRR, 2024

Implementing and Optimizing the Scaled Dot-Product Attention on Streaming Dataflow.
CoRR, 2024

Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents.
Proceedings of the 3rd Workshop on Practical Adoption Challenges of ML for Systems, 2024

The Dataflow Abstract Machine Simulator Framework.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023
On the Steganographic Capacity of Selected Learning Models.
CoRR, 2023

2021
Fast Linear Interpolation.
ACM J. Emerg. Technol. Comput. Syst., 2021

SARA: Scaling a Reconfigurable Dataflow Accelerator.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

High performance lattice regression on FPGAs via a high level hardware description language.
Proceedings of the International Conference on Field-Programmable Technology, 2021

2020
Undergraduate-Led Survey Class to Improve CS Education for New Students.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2017
Snowflake: A Lightweight Portable Stencil DSL.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017


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