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Liangze Jiang
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2020 – today
- 2025
- [j5]Liangze Jiang
, Zheng-Guang Wu, Lei Wang
Distributed Adaptive Time-Varying Optimization With Global Asymptotic Convergence. IEEE Trans. Autom. Control. 70(4): 2667-2674 (2025) - [j4]Liangze Jiang
Optimal Output Synchronization of Euler-Lagrange Systems With Uncertain Time-Varying Quadratic Cost Functions. IEEE Trans. Cybern. 55(4): 1648-1658 (2025) - [j3]Liangze Jiang
Distributed Continuous-Time Optimization With Uncertain Time-Varying Quadratic Cost Functions. IEEE Trans. Syst. Man Cybern. Syst. 55(2): 1526-1536 (2025) - [i6]Damien Teney, Liangze Jiang, Florin Gogianu, Ehsan Abbasnejad:
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild. CoRR abs/2503.10065 (2025) - 2024
- [c2]Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar, Mattia Rigotti, Amir Zamir:
Unraveling the Key Components of OOD Generalization via Diversification. ICLR 2024 - [i5]Liangze Jiang, Zheng-Guang Wu, Lei Wang:
Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence. CoRR abs/2407.20897 (2024) - [i4]Liangze Jiang, Damien Teney:
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? CoRR abs/2410.02735 (2024) - 2023
- [c1]Liangze Jiang, Tao Lin:
Test-Time Robust Personalization for Federated Learning. ICLR 2023 - [i3]Liangze Jiang, Zhengguang Wu, Lei Wang:
Distributed Adaptive Time-Varying Convex Optimization for Multi-agent Systems. CoRR abs/2310.13541 (2023) - [i2]Harold Benoit, Liangze Jiang, Andrei Atanov, Oguzhan Fatih Kar
Unraveling the Key Components of OOD Generalization via Diversification. CoRR abs/2312.16313 (2023) - 2022
- [j2]Zhengyan Qin, Liangze Jiang, Tengfei Liu, Zhong-Ping Jiang:
Distributed optimization for uncertain Euler-Lagrange Systems with local and relative measurements. Autom. 139: 110113 (2022) - [j1]Liangze Jiang
Distributed Optimal Formation for Uncertain Euler-Lagrange Systems With Collision Avoidance. IEEE Trans. Circuits Syst. II Express Briefs 69(8): 3415-3419 (2022) - [i1]Liangze Jiang, Tao Lin:
Test-Time Robust Personalization for Federated Learning. CoRR abs/2205.10920 (2022)
Coauthor Index
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