Liangze Jiang

20 papers A* 4Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic source seeking via multi-agent formation with nonconvex scalar fields.
Autom.
Liangze Jiang, Zheng-Guang Wu, Lei Wang
2026 J jnl
Procedural Pretraining: Warming Up Language Models with Abstract Data.
CoRR
Liangze Jiang, Zachary Shinnick, Anton van den Hengel, Hemanth Saratchandran, Damien Teney
2025 J jnl
Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers.
CoRR
Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Damien Teney, Anton van den Hengel
2025 J jnl
Distributed Adaptive Time-Varying Optimization With Global Asymptotic Convergence.
IEEE Trans. Autom. Control.
Liangze Jiang, Zheng-Guang Wu, Lei Wang
2025 J jnl
Distributed Continuous-Time Optimization With Uncertain Time-Varying Quadratic Cost Functions.
IEEE Trans. Syst. Man Cybern. Syst.
Liangze Jiang, Zheng-Guang Wu, Lei Wang
2025 A* conf
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild.
CVPR
Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025 J jnl
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild.
CoRR
Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad
2025 J jnl
Meta-RL Induces Exploration in Language Agents.
CoRR
Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic
2025 A* conf
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
ICML
Liangze Jiang, Damien Teney
2025 J jnl
Optimal Output Synchronization of Euler-Lagrange Systems With Uncertain Time-Varying Quadratic Cost Functions.
IEEE Trans. Cybern.
Liangze Jiang, Zheng-Guang Wu, Lei Wang, Yong Xu, Wei-Wei Che
2025 J jnl
Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning.
CoRR
Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel, Damien Teney
2024 J jnl
Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence.
CoRR
Liangze Jiang, Zheng-Guang Wu, Lei Wang
2024 J jnl
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
CoRR
Liangze Jiang, Damien Teney
2024 A* conf
Unraveling the Key Components of OOD Generalization via Diversification.
ICLR
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2023 J jnl
Distributed Adaptive Time-Varying Convex Optimization for Multi-agent Systems.
CoRR
Liangze Jiang, Zhengguang Wu, Lei Wang
2023 A* conf
Test-Time Robust Personalization for Federated Learning.
ICLR
Liangze Jiang, Tao Lin
2023 J jnl
Unraveling the Key Components of OOD Generalization via Diversification.
CoRR
Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir
2022 J jnl
Distributed Optimal Formation for Uncertain Euler-Lagrange Systems With Collision Avoidance.
IEEE Trans. Circuits Syst. II Express Briefs
Liangze Jiang, Zhenghong Jin, Zhengyan Qin
2022 J jnl
Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements.
Autom.
Zhengyan Qin, Liangze Jiang, Tengfei Liu, Zhong-Ping Jiang
2022 J jnl
Test-Time Robust Personalization for Federated Learning.
CoRR
Liangze Jiang, Tao Lin