Aosong Cheng

According to our database, Aosong Cheng authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation.

Ronyu Zhang, Aosong Cheng, Gaole Dai, Yulin Luo, Jiaming Liu, Li Du, Huanrui Yang, Dan Wang, Leyuan Fang, Yuan Du, Shanghang Zhang

CoRR, May, 2026

Key-Embedded Privacy for Decentralized AI in Biomedical Omics.

Rongyu Zhang, Hongyu Dong, Gaole Dai, Ziqi Qiao, Shenli Zheng, Yuan Zhang, Aosong Cheng, Xiaowei Chi, Jincai Luo, Pin Li, Li Du, Dan Wang, Yuan Du, Xudong Xing, Jianxu Chen, Shanghang Zhang

CoRR, March, 2026

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation.

Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Dan Wang, Yuan Du

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

Qizhe Zhang, Aosong Cheng, Ming Lu, Renrui Zhang, Zhiyong Zhuo, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework.

Yueru Jia, Aosong Cheng, Yuhui Yuan, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.

Qizhe Zhang, Aosong Cheng, Ming Lu, Zhiyong Zhuo, Minqi Wang, Jiajun Cao, Shaobo Guo, Qi She, Shanghang Zhang

CoRR, 2024

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions.

Xiaowei Chi, Yatian Wang, Aosong Cheng, Pengjun Fang, Zeyue Tian, Yingqing He, Zhaoyang Liu, Xingqun Qi, Jiahao Pan, Rongyu Zhang, Mengfei Li, Ruibin Yuan, Yanbing Jiang, Wei Xue, Wenhan Luo, Qifeng Chen, Shanghang Zhang, Qifeng Liu, Yike Guo

CoRR, 2024

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation.

Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang

CoRR, 2024

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing.

Yueru Jia, Yuhui Yuan, Aosong Cheng, Chuke Wang, Ji Li, Huizhu Jia, Shanghang Zhang

CoRR, 2024