Local Feature Extraction and Information Bottleneck-Based Segmentation of Brain Magnetic Resonance (MR) Images. - Pengcheng Shen; Chunguang Li 001 (Entropy, 2013)

Diffusion Information Theoretic Learning for Distributed Estimation Over Network. - Chunguang Li 001; Pengcheng Shen; Ying Liu 020; Zhaoyang Zhang 001 (IEEE Trans. Signal Process., 2013)

Distributed Information Theoretic Clustering. - Pengcheng Shen; Chunguang Li 001 (IEEE Trans. Signal Process., 2014)

Distributed Vector Quantization Based on Kullback-Leibler Divergence. - Pengcheng Shen; Chunguang Li 001; Luo Yiliang (Entropy, 2015)

Minimum Total Error Entropy Method for Parameter Estimation. - Pengcheng Shen; Chunguang Li 001 (IEEE Trans. Signal Process., 2015)

Distributed Semi-Supervised Metric Learning. - Pengcheng Shen; Xin Du 005; Chunguang Li 001 (IEEE Access, 2016)

Distributed Active Learning. - Pengcheng Shen; Chunguang Li 001; Zhaoyang Zhang 001 (IEEE Access, 2016)

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages. - Ke Zhang; Xiaokang Ge; Pengcheng Shen; Wanyu Li; Xiaojun Liu 003; Qiang Cao 002; Yan Zhu 005; Weixing Cao; Yongchao Tian (Remote. Sens., 2019)

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. - Yuge Huang; Yuhan Wang 002; Ying Tai; Xiaoming Liu 002; Pengcheng Shen; Shaoxin Li 001; Jilin Li; Feiyue Huang (CVPR, 2020)

Improving Face Recognition from Hard Samples via Distribution Distillation Loss. - Yuge Huang; Pengcheng Shen; Ying Tai; Shaoxin Li 001; Xiaoming Liu 002; Jilin Li; Feiyue Huang; Rongrong Ji (ECCV (30), 2020)

Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples. - Yuge Huang; Pengcheng Shen; Ying Tai; Shaoxin Li 001; Xiaoming Liu 002; Jilin Li; Feiyue Huang; Rongrong Ji (CoRR, 2020)

Assembly consistency improvement of straightness error of the linear axis based on the consistency degree and GA-MSVM-I-KM. - Yang Hui; Xuesong Mei; Gedong Jiang; Fei Zhao 001; Pengcheng Shen (J. Intell. Manuf., 2020)

Graph Game Embedding. - Xiaobin Hong 002; Tong Zhang 021; Zhen Cui 001; Yuge Huang; Pengcheng Shen; Shaoxin Li 001; Jian Yang 003 (AAAI, 2021)

Spherical Confidence Learning for Face Recognition. - Shen Li 004; Jianqing Xu; Xiaqing Xu; Pengcheng Shen; Shaoxin Li 001; Bryan Hooi (CVPR, 2021)

Consistent Instance False Positive Improves Fairness in Face Recognition. - Xingkun Xu; Yuge Huang; Pengcheng Shen; Shaoxin Li 001; Jilin Li; Feiyue Huang; Yong Li 044; Zhen Cui 001 (CVPR, 2021)

Wasserstein Coupled Graph Learning for Cross-Modal Retrieval. - Yun Wang; Tong Zhang 021; Xueya Zhang; Zhen Cui 001; Yuge Huang; Pengcheng Shen; Shaoxin Li 001; Jian Yang 003 (ICCV, 2021)

Scribble-Supervised Semantic Segmentation Inference. - Jingshan Xu; Chuanwei Zhou; Zhen Cui 001; Chunyan Xu; Yuge Huang; Pengcheng Shen; Shaoxin Li 001; Jian Yang 003 (ICCV, 2021)

A Two-DOF Ultrasonic Motor Based on Longitudinal and Bending-Bending Vibrations for Manipulator. - Dongmei Xu; Liangliang Zhao; Simiao Yu; Bingjie Zhang 005; Yao Xiong; Pengcheng Shen; Xuhui Zhang (ICIRA (2), 2021)

Federated Face Recognition. - Fan Bai 001; Jiaxiang Wu 001; Pengcheng Shen; Shaoxin Li 001; Shuigeng Zhou (CoRR, 2021)

ALSNAP: Attention-based long and short-period network security situation prediction. - Dongmei Zhao; Pengcheng Shen; Shuiguang Zeng (Ad Hoc Networks, 2023)

Security situation assessment in UAV swarm networks using TransReSE: A Transformer-ResNeXt-SE based approach. - Dongmei Zhao; Pengcheng Shen; Xunzheng Han; Shuiguang Zeng (Veh. Commun., 2024)

Multi-positive contrastive learning-based cross-attention model for T cell receptor-antigen binding prediction. - Yi Shuai; Pengcheng Shen; Xianrui Zhang (Comput. Methods Programs Biomed., 2025)

Instance-Consistent Fair Face Recognition. - Yong Li 032; Yufei Sun; Zhen Cui 001; Pengcheng Shen; Shiguang Shan (IEEE Trans. Pattern Anal. Mach. Intell., 2025)