Liangze Jiang

PhD student, EPFL

Joined

May 2022

Names

Liangze Jiang (Preferred)

Emails

****@epfl.ch (Confirmed)

****@idiap.ch (Confirmed)

****@meta.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

EPFL (ic.epfl.ch)

2023 – Present

MS student

EPFL (epfl.ch)

2020 – 2023

Student Researcher

Research, Google (research.google.com)

2022 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Damien Teney

2024 – Present

PhD Advisor

Caglar Gulcehre

2024 – Present

Coauthor

Tao Lin

2022 – 2023

Expertise

Data Efficiency

2025 – Present

Language Models

2024 – Present

Machine Learning

2022 – Present

Generalization

2022 – Present

Publications

Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild
Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
- CVPR 2025
- Readers: Everyone
Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic
- ICLR 2026 Poster
- Readers: Everyone
Procedural Pretraining: Warming Up Language Models with Abstract Data
Liangze Jiang, Zachary Shinnick, Anton van den Hengel, Hemanth Saratchandran, Damien Teney
- Submitted to ICLR 2026
- Readers: Everyone
Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
Damien Teney, Liangze Jiang, Hemanth Saratchandran, Simon Lucey
- ICLR 2026 Poster
- Readers: Everyone
Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning
Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel, Damien Teney
- MOSS@ICML2025
- Readers: Everyone
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang, Damien Teney
- ICML 2025 poster
- Readers: Everyone
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang, Damien Teney
- Submitted to ICLR 2025
- Readers: Everyone
TF-GNN: Graph Neural Networks in TensorFlow
OLEKSANDR FERLUDIN, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Goncalves de Almeida, Pedro Gonnet, Liangze Jiang, Parth Kothari, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab Mirrokni, John Palowitch et al. (6 additional authors not shown)
- CoRR 2023
- Readers: Everyone
Unraveling the Key Components of OOD Generalization via Diversification
Harold Luc Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
- ICLR 2024 poster
- Readers: Everyone
Test-Time Robust Personalization for Federated Learning
Liangze Jiang, Tao Lin
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone

Co-Authors

View all 41 co-authors