Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements. - Zhengyan Qin; Liangze Jiang; Tengfei Liu; Zhong-Ping Jiang (Autom., 2022)

Distributed Optimal Formation for Uncertain Euler-Lagrange Systems With Collision Avoidance. - Liangze Jiang; Zhenghong Jin; Zhengyan Qin (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Test-Time Robust Personalization for Federated Learning. - Liangze Jiang; Tao Lin (ICLR, 2023)

Distributed Adaptive Time-Varying Convex Optimization for Multi-agent Systems. - Liangze Jiang; Zhengguang Wu; Lei Wang 059 (CoRR, 2023)

Unraveling the Key Components of OOD Generalization via Diversification. - Harold Benoit; Liangze Jiang; Andrei Atanov; Oguzhan Fatih Kar; Mattia Rigotti; Amir Zamir (ICLR, 2024)

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? - Liangze Jiang; Damien Teney (CoRR, 2024)

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)

Distributed Continuous-Time Optimization With Uncertain Time-Varying Quadratic Cost Functions. - Liangze Jiang; Zheng-Guang Wu; Lei Wang 059 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Distributed Adaptive Time-Varying Optimization With Global Asymptotic Convergence. - Liangze Jiang; Zheng-Guang Wu; Lei Wang 059 (IEEE Trans. Autom. Control., 2025)

Optimal Output Synchronization of Euler-Lagrange Systems With Uncertain Time-Varying Quadratic Cost Functions. - Liangze Jiang; Zheng-Guang Wu; Lei Wang 059; Yong Xu 005; Wei-Wei Che (IEEE Trans. Cybern., 2025)

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning. - Zachary Shinnick; Liangze Jiang; Hemanth Saratchandran; Anton van den Hengel; Damien Teney (CoRR, 2025)