A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis. - Yuanpeng He (CoRR, 2021)

TDQMF: Two-dimensional quantum mass function. - Yuanpeng He (CoRR, 2021)

Ordinal relative belief entropy. - Yuanpeng He (CoRR, 2021)

Combining conflicting ordinal quantum evidences utilizing individual reliability. - Yuanpeng He (CoRR, 2021)

An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment. - Yuanpeng He (CoRR, 2021)

Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory. - Tianxiang Zhan; Yuanpeng He; Hanwen Li; Fuyuan Xiao 001 (CoRR, 2021)

MMGET: A Markov model for generalized evidence theory. - Yuanpeng He (CoRR, 2021)

Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise. - Yuanpeng He (CoRR, 2021)

Construction Cost Index Forecasting: A Multi-feature Fusion Approach. - Tianxiang Zhan; Yuanpeng He; Fuyuan Xiao 001 (CoRR, 2021)

DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting. - Tianxiang Zhan; Yuanpeng He; Hanwen Li; Fuyuan Xiao 001 (CoRR, 2021)

Conflicting management of evidence combination from the point of improvement of basic probability assignment. - Yuanpeng He; Fuyuan Xiao 001 (Int. J. Intell. Syst., 2021)

NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis. - Lijian Li 003; Yuanpeng He; Li Li 006 (KSEM (3), 2022)

A new base function in basic probability assignment for conflict management. - Yuanpeng He; Fuyuan Xiao 001 (Appl. Intell., 2022)

MMGET: a Markov model for generalized evidence theory. - Yuanpeng He; Yong Deng 001 (Comput. Appl. Math., 2022)

GoogLe2Net: Going Transverse with Convolutions. - Yuanpeng He (CoRR, 2023)

Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window. - Yuanpeng He (CoRR, 2023)

TDQMF: Two-Dimensional Quantum Mass Function. - Yuanpeng He; Yong Deng 001 (Inf. Sci., 2023)

Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective. - Tianchi Xu; Kai Yan 001; Yuanpeng He; Si Gao; Kai Yang; Jingrui Wang; Jinxiu Liu; Zhao Liu (Remote. Sens., 2023)

Ordinal belief entropy. - Yuanpeng He; Yong Deng 001 (Soft Comput., 2023)

Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation. - Lijian Li 003; Yuanpeng He; Chi-Man Pun (BIBM, 2024)

Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation. - Yuanpeng He; Yali Bi; Lijian Li 003; Chi-Man Pun; Wenpin Jiao; Zhi Jin (BIBM, 2024)

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization. - Yuanpeng He; Lijian Li 003; Tianxiang Zhan; Wenpin Jiao; Chi-Man Pun (ICASSP, 2024)

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation. - Yuanpeng He; Lijian Li 003 (CoRR, 2024)

EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation. - Yuanpeng He (CoRR, 2024)

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting. - Tianxiang Zhan; Yuanpeng He; Zhen Li 051; Yong Deng 001 (CoRR, 2024)

Towards Realistic Long-tailed Semi-supervised Learning in an Open World. - Yuanpeng He; Lijian Li 003 (CoRR, 2024)

A novel framework for MCDM based on Z numbers and soft likelihood function. - Yuanpeng He (CoRR, 2024)

Residual Feature-Reutilization Inception Network for Image Classification. - Yuanpeng He; Wenjie Song 002; Lijian Li 003; Tianxiang Zhan; Wenpin Jiao (CoRR, 2024)

Residual Feature-Reutilization Inception Network. - Yuanpeng He; Wenjie Song 002; Lijian Li 003; Tianxiang Zhan; Wenpin Jiao (Pattern Recognit., 2024)

Differential Convolutional Fuzzy Time Series Forecasting. - Tianxiang Zhan; Yuanpeng He; Yong Deng 001; Zhen Li 051 (IEEE Trans. Fuzzy Syst., 2024)

Revisit Self-Debugging with Self-Generated Tests for Code Generation. - Xiancai Chen; Zhengwei Tao; Kechi Zhang; Changzhi Zhou; Xinyu Zhang; Wanli Gu; Yuanpeng He; Mengdi Zhang; Xunliang Cai; Haiyan Zhao 001; Zhi Jin (ACL (1), 2025)

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization. - Lijian Li 003; Yuanpeng He; Chi-Man Pun (ICASSP, 2025)

Multi-Prototype-based Embedding Refinement for Medical Image Segmentation. - Yali Bi; Enyu Che; Yinan Chen; Yuanpeng He; Jingwei Qu (ICASSP, 2025)

Co-evidential fusion with information volume for semi-supervised medical image segmentation. - Yuanpeng He; Lijian Li 003; Tianxiang Zhan; Chi-Man Pun; Wenpin Jiao; Zhi Jin (Pattern Recognit., 2025)

Indirect Detection of Short-Pitch Rail Corrugation Using Acoustic Signal. - Jian Han; Hao Wang; Guotang Zhao; Xiaolong Liu; Xinbiao Xiao; Yuanpeng He (IEEE Trans. Instrum. Meas., 2025)

A Novel Method for Pignistic Information Fusion in the View of Z-number. - Yuanpeng He (CoRR, 2025)

UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration. - Chung-ju Huang; Yuanpeng He; Xiao Han 001; Wenpin Jiao; Zhi Jin; Leye Wang (CoRR, 2025)

Revisit Self-Debugging with Self-Generated Tests for Code Generation. - Xiancai Chen; Zhengwei Tao; Kechi Zhang; Changzhi Zhou; Wanli Gu; Yuanpeng He; Mengdi Zhang; Xunliang Cai; Haiyan Zhao 001; Zhi Jin (CoRR, 2025)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation. - Yali Bi; Enyu Che; Yinan Chen; Yuanpeng He; Jingwei Qu (CoRR, 2025)

Mutual Evidential Deep Learning for Medical Image Segmentation. - Yuanpeng He; Yali Bi; Lijian Li 003; Chi-Man Pun; Wenpin Jiao; Zhi Jin (CoRR, 2025)

Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation. - Lijian Li 003; Yuanpeng He; Chi-Man Pun (CoRR, 2025)

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion. - LinYu Li 001; Zhi Jin; Yichi Zhang; Dongming Jin; Chengfeng Dou; Yuanpeng He; Xuan Zhang 002; Haiyan Zhao 001 (CoRR, 2025)

Rethinking Regularization Methods for Knowledge Graph Completion. - Linyu Li 001; Zhi Jin; Yuanpeng He; Dongming Jin; Haoran Duan 002; Zhengwei Tao; Xuan Zhang 002; Jiandong Li (CoRR, 2025)

Co-Evidential Fusion with Information Volume for Medical Image Segmentation. - Yuanpeng He; Lijian Li 003; Tianxiang Zhan; Chi-Man Pun; Wenpin Jiao; Zhi Jin (CoRR, 2025)

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting. - Tianxiang Zhan; Ming Jin 005; Yuanpeng He; Yuxuan Liang; Yong Deng 001; Shirui Pan (CoRR, 2025)

DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. - Yiwei Lou; Yuanpeng He; Rongchao Zhang; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (CoRR, 2025)

Transfer Graph in the Context of Evidence Theory. - Tianxiang Zhan; Qianzhou Zhou; Yuanpeng He; Yong Deng 001 (Comput. Appl. Math., 2025)