Jinhong Lin

According to our database, Jinhong Lin authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training.

Jinhong Lin, Pan Wang, Zitong Zhan, Lin Zhang, Pedro Morgado

CoRR, April, 2026

2025

Scaling Up Audio-Synchronized Visual Animation: An Efficient Training Paradigm.

Lin Zhang, Zefan Cai, Yufan Zhou, Shentong Mo, Jinhong Lin, Cheng-En Wu, Yibing Wei, Yijing Zhang, Ruiyi Zhang, Wen Xiao, Tong Sun, Junjie Hu, Pedro Morgado

CoRR, August, 2025

Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP.

Cheng-En Wu, Jinhong Lin, Yu Hen Hu, Pedro Morgado

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

Trackverse: a Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning.

Yibing Wei, Samuel Church, Victor Suciu, Jinhong Lin, Cheng-En Wu

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

From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling.

Jinhong Lin, Cheng-En Wu, Huanran Li, Jifan Zhang, Yu Hen Hu, Pedro Morgado

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Patch Ranking: Efficient CLIP by Learning to Rank Local Patches.

Cheng-En Wu, Jinhong Lin, Yu Hen Hu, Pedro Morgado

CoRR, 2024

Accelerating Augmentation Invariance Pretraining.

Jinhong Lin, Cheng-En Wu, Yibing Wei, Pedro Morgado

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

Extracting knowledge from features with multilevel abstraction.

Jinhong Lin, Zhaoyang Li

CoRR, 2021