Kun Yi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Multivariate Time Series

Top Venues

Publications

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR (2024)
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 (2024)
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) (2024)
Kong Yuntao, Kun Yi, Lijun Wang, Cheng Peng, Le Minh Nguyen, Qiang Ma
RPMTD: A Route Planning Model With Consideration of Tourists' Distribution. IEEE Access 12 (2024)
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 (2024)
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) (2024)
Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou
A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks. Connect. Sci. 36 (1) (2024)
Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR (2024)
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 (2024)
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)
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)
Weixian Lei, Yixiao Ge, Jianfeng Zhang, Dylan Sun, Kun Yi, Ying Shan, Mike Zheng Shou
ViT-Lens: Towards Omni-modal Representations. CoRR (2023)
Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou
ViT-Lens-2: Gateway to Omni-modal Intelligence. CoRR (2023)
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)
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 (2023)
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 (2023)
Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang
RILS: Masked Visual Reconstruction in Language Semantic Space. CVPR (2023)
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 (2023)
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 (2023)
Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie
Masked Image Modeling with Denoising Contrast. ICLR (2023)
Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang
Masked Visual Reconstruction in Language Semantic Space. CoRR (2023)
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)
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR (2023)
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 (2022)
Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie
Masked Image Modeling with Denoising Contrast. CoRR (2022)
Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. AAAI (2022)
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 (2022)
Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. ECCV (30) (2022)
Kun Yi, Guo-Hua Wang, Jianxin Wu
PENCIL: Deep Learning with Noisy Labels. CoRR (2022)
Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. CoRR (2022)
Shuheng Zhang, Hanguo Zeng, Wei Ji, Kun Yi, Shuangfeng Yang, Peisheng Mao, Zhanjun Wang, Hongqian Yu, Manli Li
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology. Sensors 22 (7) (2022)
Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma
Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating. CoRR (2021)
Kun Yi, Yu Guo, Zhi Wang, Lifeng Sun, Wenwu Zhu
Personalized Text Summarization Based on Gaze Patterns. MIPR (2020)
Kun Yi, Yu Guo, Weifeng Jiang, Zhi Wang, Lifeng Sun
A dataset for exploring gaze behaviors in text summarization. MMSys (2020)
Kun Yi, Jianxin Wu
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. CVPR (2019)
Kun Yi, Jianxin Wu
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels. CoRR (2019)
Haitian Pang, Zhi Wang, Chen Yan, Qinghua Ding, Kun Yi, Jiangchuan Liu, Lifeng Sun
Content Harvest Network: Optimizing First Mile for Crowdsourced Live Streaming. IEEE Trans. Circuits Syst. Video Technol. 29 (7) (2019)
Wen Hu, Jiahui Huang, Zhi Wang, Peng Wang, Kun Yi, Yonggang Wen, Kaiyan Chu, Lifeng Sun
MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning. IWQoS (2017)
Ming Ma, Zhi Wang, Kun Yi, Jiangchuan Liu, Lifeng Sun
Joint Request Balancing and Content Aggregation in Crowdsourced CDN. ICDCS (2017)