Kun Yi

According to our database, Kun Yi authored at least 28 papers between 2017 and 2024.

Collaborative distances:

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

2024

Deep Coupling Network For Multivariate Time Series Forecasting.

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

CoRR, 2024

A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks.

Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou

Connect. Sci., 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

ViT-Lens-2: Gateway to Omni-modal Intelligence.

Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou

CoRR, 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

CoRR, 2023

ViT-Lens: Towards Omni-modal Representations.

Weixian Lei, Yixiao Ge, Jianfeng Zhang, Dylan Sun, Kun Yi, Ying Shan, Mike Zheng Shou

CoRR, 2023

Neural Time Series Analysis with Fourier Transform: A Survey.

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

CoRR, 2023

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

CoRR, 2023

Masked Visual Reconstruction in Language Semantic Space.

Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang

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

Masked Image Modeling with Denoising Contrast.

Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie

Proceedings of the Eleventh International Conference on Learning Representations, 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

RILS: Masked Visual Reconstruction in Language Semantic Space.

Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology.

Shuheng Zhang, Hanguo Zeng, Wei Ji, Kun Yi, Shuangfeng Yang, Peisheng Mao, Zhanjun Wang, Hongqian Yu, Manli Li

Sensors, 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

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

CoRR, 2022

PENCIL: Deep Learning with Noisy Labels.

Kun Yi, Guo-Hua Wang, Jianxin Wu

CoRR, 2022

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training.

Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan

Proceedings of the Computer Vision - ECCV 2022, 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

2021

Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating.

Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma

CoRR, 2021

2020

A dataset for exploring gaze behaviors in text summarization.

Kun Yi, Yu Guo, Weifeng Jiang, Zhi Wang, Lifeng Sun

Proceedings of the 11th ACM Multimedia Systems Conference, 2020

Personalized Text Summarization Based on Gaze Patterns.

Kun Yi, Yu Guo, Zhi Wang, Lifeng Sun, Wenwu Zhu

Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

2019

Content Harvest Network: Optimizing First Mile for Crowdsourced Live Streaming.

Haitian Pang, Zhi Wang, Chen Yan, Qinghua Ding, Kun Yi, Jiangchuan Liu, Lifeng Sun

IEEE Trans. Circuits Syst. Video Technol., 2019

Probabilistic End-to-end Noise Correction for Learning with Noisy Labels.

Kun Yi, Jianxin Wu

CoRR, 2019

Probabilistic End-To-End Noise Correction for Learning With Noisy Labels.

Kun Yi, Jianxin Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning.

Wen Hu, Jiahui Huang, Zhi Wang, Peng Wang, Kun Yi, Yonggang Wen, Kaiyan Chu, Lifeng Sun

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Joint Request Balancing and Content Aggregation in Crowdsourced CDN.

Ming Ma, Zhi Wang, Kun Yi, Jiangchuan Liu, Lifeng Sun

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017