Kun Yi

According to our database, Kun Yi authored at least 25 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration.

Zhuojia Wu, Qi Zhang, Duoqian Miao, Xuerong Zhao, Guangyin Bao, Liang Hu, Kun Yi, Yu Zhou

Inf. Fusion, 2026

2025

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.

Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei

CoRR, June, 2025

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.

Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao

IEEE Trans. Neural Networks Learn. Syst., April, 2025

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

CoRR, February, 2025

Self-attention based cloud top height retrieval for intelligent meteorological service recommendation.

Xuhao Shi, Jie Zhang, Guoqiang Liu, Kun Yi, Muhammad Bilal

Inf. Sci., 2025

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.

Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li

Proceedings of the ACM on Web Conference 2025, 2025

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.

Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.

Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.

Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Deep Coupling Network for Multivariate Time Series Forecasting.

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu

ACM Trans. Inf. Syst., September, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao

IEEE Trans. Knowl. Data Eng., June, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.

Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao

CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.

Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

CoRR, 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting.

Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.

Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.

Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.

Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.

An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural Time Series Analysis with Fourier Transform: A Survey.

Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu

CoRR, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.

Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.

Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.

Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu

CoRR, 2022

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.

Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022