Neural Architecture Search as Sparse Supernet. - Yan Wu 019; Aoming Liu; Zhiwu Huang; Siwei Zhang; Luc Van Gool (AAAI, 2021)

Direct Differentiable Augmentation Search. - Aoming Liu; Zehao Huang; Zhiwu Huang; Naiyan Wang (ICCV, 2021)

PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance. - Aoming Liu; Zhong Li; Zhang Chen; Nannan Li 004; Yi Xu 002; Bryan A. Plummer (ECCV (27), 2024)

Source-Free Domain Adaptation With Self-Supervised Learning for Nonintrusive Load Monitoring. - Feichi Zhong; Zihan Shan; Gangquan Si; Aoming Liu; Gerui Zhao; Bo Li (IEEE Trans. Instrum. Meas., 2024)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization. - Siqi Wang; Aoming Liu; Bryan A. Plummer (CoRR, 2025)

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. - Shengao Wang; Arjun Chandra; Aoming Liu; Venkatesh Saligrama; Boqing Gong (CoRR, 2025)

Beyond Token Pruning: Operation Pruning in Vision-Language Models. - Aoming Liu; Reuben Tan; Boqing Gong; Bryan A. Plummer (CoRR, 2025)