Robert Qiu

2 accepted papers

2026

Consistency Deep Equilibrium Models

Junchao Lin, Zenan Ling, Jingwen Xu, Robert Qiu

ICML 2026poster

Deep Equilibrium Models (DEQs) have emerged as a powerful paradigm in deep learning, offering the ability to model infinite-depth networks with constant memory usage. However, DEQs incur significant inference latency due to the iterative nature of fixed-point solvers. In this work, we introduce the …

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2026

Diving into Kronecker Adapters: Component Design Matters

Jiayu Bai, Danchen Yu, Zhenyu Liao, TianQi Hou, Feng Zhou, Robert Qiu +1

ICML 2026poster

Kronecker adapters have emerged as a promising approach for fine-tuning large-scale models, enabling high-rank updates through tunable component structures. However, existing work largely treats the component structure as a fixed or heuristic design choice, leaving the dimensions and number of Krone…

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