Yi, Kun

17 publications

AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu

IJCAI 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

NeurIPS 2025 SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang

AAAI 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

IJCAI 2024 Decoupled Invariant Attention Network for Multivariate Time-Series Forecasting Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang

IJCAI 2024 Deep Frequency Derivative Learning for Non-Stationary Time Series Forecasting Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

NeurIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

AAAI 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

IJCAI 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

ICML 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

CVPR 2024 ViT-Lens: Towards Omni-Modal Representations Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou

NeurIPS 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

NeurIPS 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

ICLR 2023 Masked Image Modeling with Denoising Contrast Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie

CVPR 2023 RILS: Masked Visual Reconstruction in Language Semantic Space Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang

AAAI 2022 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

ECCV 2022 Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-Training Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan