Kun Yi

Beijing Institute of Technology — China

Computer Science · Physical Sciences

11h-index504citations64works4.32yr avg
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Research Topics

Time Series Analysis and Forecasting(22), Neural Networks and Applications(6), Domain Adaptation and Few-Shot Learning(6), Multimodal Machine Learning Applications(6), Stock Market Forecasting Methods(5)

Publications64 total

SEMPO: Lightweight Foundation Models for Time Series Forecasting
arXiv (Cornell University)·2025Open Access
MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion
Information Fusion·2025
Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift
IEEE Transactions on Neural Networks and Learning Systems·2025
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
2025· 10 cited
Multi-KGS: Generating Social Network-Based Meteorological Decision Reports Fusing With Multiple Knowledge
IEEE Transactions on Consumer Electronics·2025
FedMLU: Mitigating Source Inference Attacks in Federated Learning Without Losing Utility for Secure IoT Services
2025
Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
2025· 4 citedOpen Access
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 2 citedOpen Access
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 4 citedOpen Access
Self-attention based cloud top height retrieval for intelligent meteorological service recommendation
Information Sciences·2025· 2 cited
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting
2025· 2 citedOpen Access
Three-dimensional promotion path and benefit analysis of RMB settlement in cross-border fruit trade: a multi-agent collaborative perspective based on individual businesses, banks, and governments
Journal of Applied Economics and Policy Studies·2025Open Access
Development and validation of an insulin resistance prediction model in children and adolescents using machine learning algorithms
Translational Pediatrics·2025Open Access
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
arXiv (Cornell University)·2025Open Access
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
arXiv (Cornell University)·2025Open Access
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
arXiv (Cornell University)·2024· 11 citedOpen Access
RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis
2024· 2 citedOpen Access
Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
2024· 13 citedOpen Access
Efficient Algorithms for Electing Successive Committees
2024· 7 citedOpen Access
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Qi Zhang(15), Zhendong Niu(10), Hui He(10), Yixiao Ge(8), Ying Shan(8), Longbing Cao(7), Shoujin Wang(6), Liang Hu(6), Duoqian Miao(5), Zhi Wang(5), Lifeng Sun(5), Wei Fan(5), Wei Fan(4), Pengyang Wang(4), Ning An(4), Kaize Shi(4), Defu Lian(3), Liang Hu(3), Xiaotong Li(3), Jing Fei(3)