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Liu Ziyin
Joined
September 2019
Names
Liu Ziyin
(Preferred)
,Â
Ziyin Liu
Emails
****@cat.phys.s.u-tokyo.ac.jp
(Confirmed)
,Â
****@gmail.com
(Confirmed)
,Â
****@mit.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
Career & Education History
Researcher
Research Laboratory of Electronics,
Massachusetts Institute of Technology
(mit.edu)
2023
–
2025
Researcher
Physics & Informatics Laboratory ,
NTT Research
(ntt-research.com)
2023
–
2025
PhD student
Department of Physics,
The University of Tokyo
(u-tokyo.ac.jp)
2018
–
2023
Advisors, Relations & Conflicts
PhD Advisor
Masahito Ueda
2018
–
2023
Expertise
neuroscience
2024
–
Present
analog hardware
2024
–
Present
deep learning
2018
–
Present
physics
2018
–
Present
Publications
Stabilizing Continuous-Time Kolen–Pollack Learning with a Scale-Balance Condition
Marc Gong Bacvanski
,
Liu Ziyin
,
Tomaso Poggio
HiLD at ICML 2026 Poster
Readers:
Everyone
Agent Systems for Academic Research Automation
Pierfrancesco Beneventano
,
Riccardo Neumarker
,
Theodoros Evgeniou
,
Marc Gong Bacvanski
,
Kushagra Tiwary
,
Emanuele Rimoldi
,
Mehdi Hajoub
,
Yulu Gan
,
Qianli Liao
,
Mahmoud Abdelmoneum
,
Liu Ziyin
,
Tomer Galanti
,
Andrea Pinto
,
Tomaso Poggio
ICML2026-AI4Science Poster
Readers:
Everyone
Continuous-Time Heteroassociative Memory at Biological Timescales
Marc Gong Bacvanski
,
Liu Ziyin
,
Tomaso Poggio
NFAM 2026 Poster
Readers:
Everyone
An Equivariance Toolbox for Learning Dynamics
Yongyi Yang
,
Liu Ziyin
ICLR 2026 DeLTa Workshop Poster
Readers:
Everyone
Topological Invariance and Breakdown in Learning
Yongyi Yang
,
Tomaso Poggio
,
Isaac L. Chuang
,
Liu Ziyin
ICLR 2026 Workshop GRaM Poster
Readers:
Everyone
A universal compression theory for lottery ticket hypothesis and neural scaling laws
Hong-Yi Wang
,
Di Luo
,
Isaac L. Chuang
,
Tomaso Poggio
,
Liu Ziyin
ICLR 2026 Workshop GRaM Poster
Readers:
Everyone
When Reasoning Meets Its Laws
Junyu Zhang
,
Yifan Sun
,
Tianang Leng
,
Jingyan Shen
,
Liu Ziyin
,
Paul Pu Liang
,
Huan Zhang
NeurIPS 2025 ER Workshop Oral
Readers:
Everyone
On Biologically Plausible Learning in Continuous Time
Marc Gong Bacvanski
,
Liu Ziyin
,
Tomaso Poggio
Submitted to ICLR 2026
Readers:
Everyone
Ubiquity of Hebbian Dynamics in Complex Learning Rules
David Aaron Koplow
,
Tomaso Poggio
,
Liu Ziyin
Submitted to ICLR 2026
Readers:
Everyone
A universal compression theory for lottery ticket hypothesis and neural scaling laws
Hong-Yi Wang
,
Di Luo
,
Tomaso Poggio
,
Isaac L. Chuang
,
Liu Ziyin
ICLR 2026 Poster
Readers:
Everyone
View all 92 publications
Co-Authors
Abraham J Fetterman
Abraham J. Fetterman
Amir Zadeh
Andrea Pinto
Blair Chen
Botao Li
Brian Cheung
Chanakya Ekbote
Daniel Geisz
Daoyuan Qian
David Aaron Koplow
Di Luo
Ekdeep Singh Lubana
Emanuele Rimoldi
Eric P. Xing
Guiyun Zhou
Hanlin Zhang
Hidenori Tanaka
Hong-Yi Wang
Hongchao Li
Huan Zhang
Ila R Fiete
Isaac Chuang
Isaac L. Chuang
James B Simon
View all 77 co-authors