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ORCIDKun Yi 0001
Person information
- affiliation: Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
Other persons with the same name
- Kun Yi — disambiguation page
Other persons with a similar name
- Yi-Kun Chen
- Kunyi Guo (aka: Kun-Yi Guo)
- Kun-Yi Hsin
- Kun-Yi Huang
![[0000-0002-3629-7091]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3629-7091")
— National Cheng Kung University, Tainan City, Taiwan - Yi-Kuen Lee
- Kuen-Yi Lin
- Kun-Yi Lin
- Yi-Kun Tang
- Kun-Yi Wu
- Kun-Yi Yang
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2020 – today
- 2024
[j2]Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. 36(6): 2504-2516 (2024)- [j1]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. 42(5): 127:1-127:28 (2024) - [c9]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434 - [c8]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. ICML 2024 - [c7]Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang:
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. IJCAI 2024: 2487-2495 - [c6]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. IJCAI 2024: 3944-3952 - [c5]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. IJCAI 2024: 6550-6558 - [i14]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR abs/2402.15134 (2024) - [i13]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. CoRR abs/2404.11938 (2024) - [i12]Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR abs/2404.13282 (2024) - [i11]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. CoRR abs/2406.01460 (2024) - [i10]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR abs/2407.00502 (2024) - [i9]Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao:
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR abs/2407.13194 (2024) - [i8]Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. CoRR abs/2411.01623 (2024) - 2023
- [c4]Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM 2023: 160-169 - [c3]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023 - [c2]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [i7]Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR abs/2301.11535 (2023) - [i6]Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu:
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR abs/2302.02173 (2023) - [i5]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i4]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023) - [i3]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR abs/2312.11023 (2023) - 2022
- [c1]Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu:
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. AAAI 2022: 4030-4038 - [i2]Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao:
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR abs/2209.00654 (2022) - [i1]Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu:
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR abs/2210.03093 (2022)
Coauthor Index
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