Understanding Long Range Memory Effects in Deep Neural Networks. - Chengli Tan; Jiangshe Zhang 001; Junmin Liu (CoRR, 2021)

Automatic Velocity Picking Using Unsupervised Ensemble Learning. - Hongtao Wang; Jiangshe Zhang 001; Chunxia Zhang 002; Zixiang Zhao; Chengli Tan; Zhiyu Yang; Weifeng Geng (CoRR, 2022)

Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion. - Chengli Tan; Jiangshe Zhang 001; Junmin Liu (CoRR, 2022)

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. - Zixiang Zhao; Jiangshe Zhang 001; Xiang Gu; Chengli Tan; Shuang Xu; Yulun Zhang 001; Radu Timofte; Luc Van Gool (ICCV, 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., 2023)

Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategy. - Chengli Tan; Jiangshe Zhang 001; Junmin Liu; Yicheng Wang; Yunda Hao (CoRR, 2024)

Seismic Data Interpolation via Denoising Diffusion Implicit Models With Coherence-Corrected Resampling. - Xiao-Li Wei; Chunxia Zhang 002; Hongtao Wang; Chengli Tan; Deng Xiong; Baisong Jiang; Jiangshe Zhang 001; Sang-Woon Kim (IEEE Trans. Geosci. Remote. Sens., 2024)

Understanding Short-Range Memory Effects in Deep Neural Networks. - Chengli Tan; Jiang-She Zhang 001; Junmin Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks. - Chengli Tan; Jiangshe Zhang 001; Junmin Liu; Zixiang Zhao (Int. J. Mach. Learn. Cybern., 2024)

Sharpness-Aware Lookahead for Accelerating Convergence and Improving Generalization. - Chengli Tan; Jiangshe Zhang 001; Junmin Liu; Yihong Gong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization. - Chengli Tan; Yubo Zhou; Haishan Ye; Guang Dai; Junmin Liu; Zengjie Song; Jiangshe Zhang 001; Zixiang Zhao; Yunda Hao; Yong Xu (CoRR, 2025)