Aoming Liu

12 papers A* 3Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning.
CoRR
Shengao Wang, Arjun Chandra, Aoming Liu, Venkatesh Saligrama, Boqing Gong
2025 J jnl
Beyond Token Pruning: Operation Pruning in Vision-Language Models.
CoRR
Aoming Liu, Reuben Tan, Boqing Gong, Bryan A. Plummer
2025 J jnl
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization.
CoRR
Siqi Wang, Aoming Liu, Bryan A. Plummer
2025 A* conf
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging.
EMNLP
Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025 J jnl
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging.
CoRR
Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2024 — conf
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance.
ECCV (27)
Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer
2024 J jnl
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance.
CoRR
Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer
2024 J jnl
Source-Free Domain Adaptation With Self-Supervised Learning for Nonintrusive Load Monitoring.
IEEE Trans. Instrum. Meas.
Feichi Zhong, Zihan Shan, Gangquan Si, Aoming Liu, Gerui Zhao, Bo Li
2021 A* conf
Direct Differentiable Augmentation Search.
ICCV
Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang
2021 J jnl
Direct Differentiable Augmentation Search.
CoRR
Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang
2021 A* conf
Neural Architecture Search as Sparse Supernet.
AAAI
Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool
2020 J jnl
Neural Architecture Search as Sparse Supernet.
CoRR
Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool