We stand with Ukraine

We stand with Ukraine

Yuanpeng He

Orcid: 0000-0001-9071-2260

According to our database¹, Yuanpeng He authored at least 63 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Cloud-top infrared observations reveal the four-dimensional precipitation structure.

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Andrea Marinoni

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CoRR, May, 2026

From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology.

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CoRR, May, 2026

When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs.

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CoRR, April, 2026

ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation.

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CoRR, February, 2026

BrowseComp-V<sup>3</sup>: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents.

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CoRR, February, 2026

Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models.

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CoRR, January, 2026

Towards Structure-Aware Model for Multi-Modal Knowledge Graph Completion.

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IEEE Trans. Multim., 2026

Ternary coding of maximum Deng entropy.

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Fuzzy Sets Syst., 2026

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.

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Proceedings of the ACM Web Conference 2026, 2026

Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Edge Healthcare Collaboration.

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IEEE Trans. Mob. Comput., December, 2025

Time Evidence Fusion Network: Multi-Source View in Long-Term Time Series Forecasting.

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IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs.

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CoRR, November, 2025

Transfer Graph in the Context of Evidence Theory.

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Comput. Appl. Math., October, 2025

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories.

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CoRR, September, 2025

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.

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CoRR, August, 2025

DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment.

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CoRR, July, 2025

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting.

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CoRR, June, 2025

Co-Evidential Fusion with Information Volume for Medical Image Segmentation.

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CoRR, June, 2025

Rethinking Regularization Methods for Knowledge Graph Completion.

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CoRR, May, 2025

Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation.

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CoRR, May, 2025

Mutual Evidential Deep Learning for Medical Image Segmentation.

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CoRR, May, 2025

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation.

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CoRR, March, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

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CoRR, January, 2025

UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration.

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CoRR, January, 2025

A Novel Method for Pignistic Information Fusion in the View of Z-number.

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CoRR, January, 2025

Indirect Detection of Short-Pitch Rail Corrugation Using Acoustic Signal.

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IEEE Trans. Instrum. Meas., 2025

Co-evidential fusion with information volume for semi-supervised medical image segmentation.

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Pattern Recognit., 2025

Evidential Prototype Learning for Semi-supervised Medical Image Segmentation.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Multi-Prototype-based Embedding Refinement for Medical Image Segmentation.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Differential Convolutional Fuzzy Time Series Forecasting.

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IEEE Trans. Fuzzy Syst., March, 2024

Residual Feature-Reutilization Inception Network.

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Pattern Recognit., 2024

Residual Feature-Reutilization Inception Network for Image Classification.

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CoRR, 2024

A novel framework for MCDM based on Z numbers and soft likelihood function.

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CoRR, 2024

Towards Realistic Long-tailed Semi-supervised Learning in an Open World.

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CoRR, 2024

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting.

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CoRR, 2024

EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation.

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CoRR, 2024

Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation.

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CoRR, 2024

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization.

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Proceedings of the IEEE International Conference on Acoustics, 2024

Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Efficient Prototype Consistency Learning in Semi-Supervised Medical Image Segmentation via Joint Uncertainty and Data Augmentation.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Ordinal belief entropy.

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Soft Comput., June, 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.

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Remote. Sens., June, 2023

TDQMF: Two-Dimensional Quantum Mass Function.

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Inf. Sci., April, 2023

Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window.

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CoRR, 2023

GoogLe2Net: Going Transverse with Convolutions.

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CoRR, 2023

2022

MMGET: a Markov model for generalized evidence theory.

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Comput. Appl. Math., 2022

A new base function in basic probability assignment for conflict management.

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Appl. Intell., 2022

NNDF: A New Neural Detection Network for Aspect-Category Sentiment Analysis.

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Proceedings of the Knowledge Science, Engineering and Management, 2022

2021

Conflicting management of evidence combination from the point of improvement of basic probability assignment.

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Int. J. Intell. Syst., 2021

DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting.

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CoRR, 2021

Construction Cost Index Forecasting: A Multi-feature Fusion Approach.

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CoRR, 2021

Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise.

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CoRR, 2021

MMGET: A Markov model for generalized evidence theory.

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CoRR, 2021

Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory.

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CoRR, 2021

An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment.

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CoRR, 2021

Combining conflicting ordinal quantum evidences utilizing individual reliability.

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CoRR, 2021

Ordinal relative belief entropy.

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CoRR, 2021

TDQMF: Two-dimensional quantum mass function.

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CoRR, 2021

A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis.

[DOI]

CoRR, 2021

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