Naifeng Zhang

23 papers A* 2A 1B 1C 1Misc 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Pinned Insect Specimen Digitization: A Deep Learning Pipeline for Future Collaborative Robots.
Adv. Intell. Syst.
Naifeng Zhang, Arianna Salili-James, Sanson T. S. Poon, Jack Hollister, Ben Scott
2026 A* conf
Faster Game Solving via Hyperparameter Schedules.
AAAI
Naifeng Zhang, Stephen Marcus McAleer, Tuomas Sandholm
2025 — conf
A RISC-V Vector Extension for Multi-word Arithmetic.
SC Workshops
Yunhao Lan, Larry Tang, Naifeng Zhang, Youngjin Eum, James C. Hoe, Franz Franchetti
2025 C conf
An Improved Sliding Model Control with a Novel Reaching Law for PMSM Enhancing Low-Speed Stability.
IAS
Kaikai Guo, Naifeng Zhang, Zaixin Song, Yongtao Liang, Xiangyang Wu
2025 A conf
Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU.
CGO
Naifeng Zhang, Franz Franchetti
2025 J jnl
Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU.
CoRR
Naifeng Zhang, Franz Franchetti
2025 — conf
Towards Automated Reasoning Chains for Verification of LLM-Generated Scientific Code.
HPEC
Quentin Oschatz, Naifeng Zhang, Mike Franusich, Franz Franchetti
2025 A* conf
Towards Closing the Performance Gap for Cryptographic Kernels Between CPUs and Specialized Hardware.
MICRO
Naifeng Zhang, Sophia Fu, Franz Franchetti
2025 J jnl
Towards Closing the Performance Gap for Cryptographic Kernels Between CPUs and Specialized Hardware.
CoRR
Naifeng Zhang, Sophia Fu, Franz Franchetti
2025 J jnl
Towards Semantics Lifting for Scientific Computing: A Case Study on FFT.
CoRR
Naifeng Zhang, Sanil Rao, Mike Franusich, Franz Franchetti
2024 J jnl
Faster Game Solving via Hyperparameter Schedules.
CoRR
Naifeng Zhang, Stephen McAleer, Tuomas Sandholm
2023 — conf
Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures.
HPEC
Naifeng Zhang, Austin Ebel, Negar Neda, Patrick Brinich, Benedict Reynwar, Andrew G. Schmidt, Mike Franusich, Jeremy Johnson, Brandon Reagen, Franz Franchetti
2023 — conf
Optimization and Performance Analysis of Shor's Algorithm in Qiskit.
HPEC
Dewang Sun, Naifeng Zhang, Franz Franchetti
2023 B conf
RPU: The Ring Processing Unit.
ISPASS
Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen
2023 J jnl
RPU: The Ring Processing Unit.
CoRR
Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen
2023 J jnl
RPU: The Ring Processing Unit.
IACR Cryptol. ePrint Arch.
Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen
2023 J jnl
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation.
CoRR
David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew G. Schmidt, Ajey P. Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick, Mike Franusich, Bo Zhang, Zeming Cheng, Massoud Pedram
2023 J jnl
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation.
IACR Cryptol. ePrint Arch.
David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew G. Schmidt, Ajey P. Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick, Mike Franusich, Bo Zhang, Zeming Cheng, Massoud Pedram
2022 J jnl
Towards the shortest DRAT proof of the Pigeonhole Principle.
CoRR
Isaac Grosof, Naifeng Zhang, Marijn J. H. Heule
2021 — conf
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms.
PEHC@SC
Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020 — conf
Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads.
ESPM2@SC
Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters
2020 Misc conf
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.
HiPC
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
2020 J jnl
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.
CoRR
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna