Hsinyu Tsai

Joined

May 2024

Names

Hsinyu Tsai (Preferred)

Emails

****@us.ibm.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Principal Researcher

Research, International Business Machines (ibm.com)

2021 – 2025

Researcher

Research, International Business Machines (ibm.com)

2011 – 2021

PhD student

EECS, Massachusetts Institute of Technology (mit.edu)

2005 – 2011

Advisors, Relations & Conflicts

No relations added

Expertise

AI Hardware

2016 – Present

Publications

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang
- ICLR 2026 Poster
- Readers: Everyone
CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory
William Andrew Simon, Irem Boybat, Riselda Kodra, Elena Ferro, Gagandeep Singh, Mohammed Alser, Shubham Jain, Hsinyu Tsai, Geoffrey W. Burr, Onur Mutlu, Abu Sebastian
- IEEE Trans. Parallel Distributed Syst. 2025
- Readers: Everyone
Analog Foundation Models
Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Hsinyu Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
- NeurIPS 2025 poster
- Readers: Everyone
Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing
Julian Büchel, Athanasios Vasilopoulos, William Andrew Simon, Irem Boybat, Hsinyu Tsai, Geoffrey W. Burr, Hernan Castro, Bill Filipiak, Manuel Le Gallo, Abbas Rahimi, Vijay Narayanan, Abu Sebastian
- Nat. Comput. Sci. 2025
- Readers: Everyone
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
Hadjer Benmeziane, Corey Lammie, Athanasios Vasilopoulos, Irem Boybat, Manuel Le Gallo, Hsinyu Tsai, Kaoutar El Maghraoui, Abu Sebastian
- MLNCP Poster
- Readers: Everyone
Pipeline Gradient-based Model Training on Analog In-memory Accelerators
Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Hsinyu Tsai, Kaoutar El Maghraoui, Tianyi Chen
- CoRR 2024
- Readers: Everyone
An analog-AI chip for energy-efficient speech recognition and transcription
Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Andrea Fasoli, Charles Mackin, Kohji Hosokawa, Akiyo Nomura, Takeo Yasuda, An Chen, Alexander M. Friz, Masatoshi Ishii, Jose Luquin, Yasuteru Kohda, Nicole Saulnier, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre et al. (4 additional authors not shown)
- Nat. 2023
- Readers: Everyone
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui
- CoRR 2023
- Readers: Everyone
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited)
Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, Victor Chan, Samuel Choi, T. Gordon, T. M. Levin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, An Chen, Andrea Fasoli et al. (5 additional authors not shown)
- VLSI Technology and Circuits 2023
- Readers: Everyone

View all 27 publications

Co-Authors

View all 102 co-authors