Yuanpeng He - RankMe

62 papers A* 2Misc 3Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrowseComp-V CoRR Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu, Zhiyong Cao, Jiaoyang Chen, Yuqian Han, Zinan Sheng, Zhengwei Tao, Hao Liang, Jialong Wu, Yang Shi, Yuanpeng He, Jiaye Lin, Qintong Zhang, Guochen Yan, Runhao Zhao, Zhengpin Li, Xiaohan Yu, Lang Mei, Chong Chen, Wentao Zhang, Bin Cui
2026	A*	`conf`	Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding. WWW Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Xuan Zhang, Zhengwei Tao, Tashi Nyima
2026	J	`jnl`	Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models. CoRR Siru Zhong, Junjie Qiu, Yangyu Wu, Yiqiu Liu, Yuanpeng He, Zhongwen Rao, Bin Yang, Chenjuan Guo, Hao Xu, Yuxuan Liang
2026	A*	`conf`	Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. AAAI Yiwei Lou, Yuanpeng He, Rongchao Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang
2026	J	`jnl`	ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation. CoRR Dongming Jin, Zhi Jin, Zheng Fang, Linyu Li, Xiaotian Yang, Yuanpeng He, Xiaohong Chen
2026	J	`jnl`	Towards Structure-Aware Model for Multi-Modal Knowledge Graph Completion. IEEE Trans. Multim. Linyu Li, Zhi Jin, Yichi Zhang, Dongming Jin, Chengfeng Dou, Yuanpeng He, Xuan Zhang, Haiyan Zhao
2026	J	`jnl`	Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models. CoRR Chung-ju Huang, Huiqiang Zhao, Yuanpeng He, Lijian Li, Wenpin Jiao, Zhi Jin, Peixuan Chen, Leye Wang
2025	J	`jnl`	A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs. CoRR Dongming Jin, Zhi Jin, Xiaohong Chen, Zheng Fang, Linyu Li, Yuanpeng He, Jia Li, Yirang Zhang, Yingtao Fang
2025	J	`jnl`	A Novel Method for Pignistic Information Fusion in the View of Z-number. CoRR Yuanpeng He
2025	Misc	`conf`	An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization. ICASSP Lijian Li, Yuanpeng He, Chi-Man Pun
2025	J	`jnl`	Co-Evidential Fusion with Information Volume for Medical Image Segmentation. CoRR Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, Zhi Jin
2025	J	`jnl`	Co-evidential fusion with information volume for semi-supervised medical image segmentation. Pattern Recognit. Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, Zhi Jin
2025	J	`jnl`	Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting. CoRR Tianxiang Zhan, Ming Jin, Yuanpeng He, Yuxuan Liang, Yong Deng, Shirui Pan
2025	J	`jnl`	DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. CoRR Yiwei Lou, Yuanpeng He, Rongchao Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang
2025	J	`jnl`	Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation. CoRR Lijian Li, Yuanpeng He, Chi-Man Pun
2025	—	`conf`	Evidential Prototype Learning for Semi-supervised Medical Image Segmentation. KDD (2) Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, Zhi Jin
2025	J	`jnl`	Indirect Detection of Short-Pitch Rail Corrugation Using Acoustic Signal. IEEE Trans. Instrum. Meas. Jian Han, Hao Wang, Guotang Zhao, Xiaolong Liu, Xinbiao Xiao, Yuanpeng He
2025	J	`jnl`	Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding. CoRR Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Nyima Tashi
2025	J	`jnl`	Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation. CoRR Yali Bi, Enyu Che, Yinan Chen, Yuanpeng He, Jingwei Qu
2025	Misc	`conf`	Multi-Prototype-based Embedding Refinement for Medical Image Segmentation. ICASSP Yali Bi, Enyu Che, Yinan Chen, Yuanpeng He, Jingwei Qu
2025	J	`jnl`	Mutual Evidential Deep Learning for Medical Image Segmentation. CoRR Yuanpeng He, Yali Bi, Lijian Li, Chi-Man Pun, Wenpin Jiao, Zhi Jin
2025	J	`jnl`	Rethinking Regularization Methods for Knowledge Graph Completion. CoRR Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Haoran Duan, Zhengwei Tao, Xuan Zhang, Jiandong Li
2025	—	`conf`	Revisit Self-Debugging with Self-Generated Tests for Code Generation. ACL (1) Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Xinyu Zhang, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin
2025	J	`jnl`	Revisit Self-Debugging with Self-Generated Tests for Code Generation. CoRR Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin
2025	J	`jnl`	Time Evidence Fusion Network: Multi-Source View in Long-Term Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, Qingsong Wen
2025	J	`jnl`	Towards Structure-aware Model for Multi-modal Knowledge Graph Completion. CoRR Linyu Li, Zhi Jin, Yichi Zhang, Dongming Jin, Chengfeng Dou, Yuanpeng He, Xuan Zhang, Haiyan Zhao
2025	J	`jnl`	Transfer Graph in the Context of Evidence Theory. Comput. Appl. Math. Tianxiang Zhan, Qianzhou Zhou, Yuanpeng He, Yong Deng
2025	J	`jnl`	UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration. CoRR Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang
2025	J	`jnl`	UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Edge Healthcare Collaboration. IEEE Trans. Mob. Comput. Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang
2025	J	`jnl`	UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories. CoRR Dongming Jin, Zhi Jin, Yiran Zhang, Zheng Fang, Linyu Li, Yuanpeng He, Xiaohong Chen, Weisong Sun
2024	J	`jnl`	A novel framework for MCDM based on Z numbers and soft likelihood function. CoRR Yuanpeng He
2024	J	`jnl`	Differential Convolutional Fuzzy Time Series Forecasting. IEEE Trans. Fuzzy Syst. Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li
2024	J	`jnl`	EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation. CoRR Yuanpeng He
2024	—	`conf`	Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation. BIBM Lijian Li, Yuanpeng He, Chi-Man Pun
2024	Misc	`conf`	Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization. ICASSP Yuanpeng He, Lijian Li, Tianxiang Zhan, Wenpin Jiao, Chi-Man Pun
2024	J	`jnl`	Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization. CoRR Yuanpeng He, Lijian Li, Tianxiang Zhan, Wenpin Jiao, Chi-Man Pun
2024	—	`conf`	Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation. BIBM Yuanpeng He, Yali Bi, Lijian Li, Chi-Man Pun, Wenpin Jiao, Zhi Jin
2024	J	`jnl`	Residual Feature-Reutilization Inception Network for Image Classification. CoRR Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan, Wenpin Jiao
2024	J	`jnl`	Residual Feature-Reutilization Inception Network. Pattern Recognit. Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan, Wenpin Jiao
2024	J	`jnl`	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting. CoRR Tianxiang Zhan, Yuanpeng He, Zhen Li, Yong Deng
2024	J	`jnl`	Towards Realistic Long-tailed Semi-supervised Learning in an Open World. CoRR Yuanpeng He, Lijian Li
2024	J	`jnl`	Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation. CoRR Yuanpeng He, Lijian Li
2023	J	`jnl`	Differential Convolutional Fuzzy Time Series Forecasting. CoRR Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li
2023	J	`jnl`	GoogLe2Net: Going Transverse with Convolutions. CoRR Yuanpeng He
2023	J	`jnl`	Ordinal belief entropy. Soft Comput. Yuanpeng He, Yong Deng
2023	J	`jnl`	Spatio-Temporal Variability Analysis of Vegetation Dynamics in China from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image Classification Perspective. Remote. Sens. Tianchi Xu, Kai Yan, Yuanpeng He, Si Gao, Kai Yang, Jingrui Wang, Jinxiu Liu, Zhao Liu
2023	J	`jnl`	TDQMF: Two-Dimensional Quantum Mass Function. Inf. Sci. Yuanpeng He, Yong Deng
2023	J	`jnl`	Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window. CoRR Yuanpeng He
2022	J	`jnl`	A new base function in basic probability assignment for conflict management. Appl. Intell. Yuanpeng He, Fuyuan Xiao
2022	J	`jnl`	MMGET: a Markov model for generalized evidence theory. Comput. Appl. Math. Yuanpeng He, Yong Deng
2022	—	`conf`	NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis. KSEM (3) Lijian Li, Yuanpeng He, Li Li
2021	J	`jnl`	A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis. CoRR Yuanpeng He
2021	J	`jnl`	An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment. CoRR Yuanpeng He
2021	J	`jnl`	Combining conflicting ordinal quantum evidences utilizing individual reliability. CoRR Yuanpeng He
2021	J	`jnl`	Conflicting management of evidence combination from the point of improvement of basic probability assignment. Int. J. Intell. Syst. Yuanpeng He, Fuyuan Xiao
2021	J	`jnl`	Construction Cost Index Forecasting: A Multi-feature Fusion Approach. CoRR Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
2021	J	`jnl`	DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting. CoRR Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao
2021	J	`jnl`	Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise. CoRR Yuanpeng He
2021	J	`jnl`	MMGET: A Markov model for generalized evidence theory. CoRR Yuanpeng He
2021	J	`jnl`	Ordinal relative belief entropy. CoRR Yuanpeng He
2021	J	`jnl`	TDQMF: Two-dimensional quantum mass function. CoRR Yuanpeng He
2021	J	`jnl`	Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory. CoRR Tianxiang Zhan, Yuanpeng He, Hanwen Li, Fuyuan Xiao