Chengli Tan

According to our database, Chengli Tan authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Sharpness-Aware Lookahead for Accelerating Convergence and Improving Generalization.

Chengli Tan, Jiangshe Zhang, Junmin Liu, Yihong Gong

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks.

Chengli Tan, Jiangshe Zhang, Junmin Liu, Zixiang Zhao

Int. J. Mach. Learn. Cybern., November, 2024

Understanding Short-Range Memory Effects in Deep Neural Networks.

Chengli Tan, Jiang-She Zhang, Junmin Liu

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling.

Xiao-Li Wei, Chunxia Zhang, Hongtao Wang, Chengli Tan, Deng Xiong, Baisong Jiang, Jiangshe Zhang, Sang-Woon Kim

IEEE Trans. Geosci. Remote. Sens., 2024

Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy.

Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng Wang, Yunda Hao

CoRR, 2024

2023

Robust Teacher: Self-correcting pseudo-label-guided semi-supervised learning for object detection.

Shijie Li, Junmin Liu, Weilin Shen, Jianyong Sun, Chengli Tan

Comput. Vis. Image Underst., October, 2023

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.

Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion.

Chengli Tan, Jiangshe Zhang, Junmin Liu

CoRR, 2022

Automatic Velocity Picking Using Unsupervised Ensemble Learning.

Hongtao Wang, Jiangshe Zhang, Chunxia Zhang, Zixiang Zhao, Chengli Tan, Zhiyu Yang, Weifeng Geng

CoRR, 2022

2021

Understanding Long Range Memory Effects in Deep Neural Networks.

Chengli Tan, Jiangshe Zhang, Junmin Liu

CoRR, 2021