Kun Yi

47 papers A* 16A 1Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data.
WWW
Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi
2026 A* conf
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion.
AAAI
Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quan Z. Sheng, Amin Beheshti, Wei Fan
2026 J jnl
MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion.
Inf. Fusion
Wei Fan, Jingru Fei, Jindong Han, Jie Lian, Hangting Ye, Xiaozhuang Song, Xin Lv, Kun Yi, Min Li
2026 J jnl
Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration.
Inf. Fusion
Zhuojia Wu, Qi Zhang, Duoqian Miao, Xuerong Zhao, Guangyin Bao, Liang Hu, Kun Yi, Yu Zhou
2026 J jnl
TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection.
CoRR
Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang
2025 — conf
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation.
KDD (2)
Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025 A* conf
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
AAAI
Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu
2025 J jnl
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
CoRR
Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu
2025 J jnl
Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst.
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2025 A conf
FedMLU: Mitigating Source Inference Attacks in Federated Learning Without Losing Utility for Secure IoT Services.
ICWS
Mengmeng Cui, Hao Cheng, Xuanru Guo, Haolong Xiang, Kun Yi, Xiaoyong Li, Xiaolong Xu
2025 — conf
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.
KDD (1)
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Kun Yi, Qi Zhang, Jiang Bian, Yanjie Fu
2025 A* conf
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
IJCAI
Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei
2025 J jnl
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
CoRR
Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei
2025 J jnl
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion.
CoRR
Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quanzheng Sheng, Amin Beheshti, Wei Fan
2025 J jnl
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
CoRR
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025 J jnl
Multi-KGS: Generating Social Network-Based Meteorological Decision Reports Fusing With Multiple Knowledge.
IEEE Trans. Consumer Electron.
Kaize Shi, Xueping Peng, Yifan Zhu, Hui He, Kun Yi, Zhendong Niu
2025 J jnl
Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift.
IEEE Trans. Neural Networks Learn. Syst.
Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2025 J jnl
SEMPO: Lightweight Foundation Models for Time Series Forecasting.
CoRR
Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
2025 J jnl
Self-attention based cloud top height retrieval for intelligent meteorological service recommendation.
Inf. Sci.
Xuhao Shi, Jie Zhang, Guoqiang Liu, Kun Yi, Muhammad Bilal
2025 A* conf
Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification.
WWW
Wei Fan, Jingru Fei, Dingyu Guo, Kun Yi, Xiaozhuang Song, Haolong Xiang, Hangting Ye, Min Li
2025 A* conf
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.
AAAI
Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2024 A* conf
Decoupled Invariant Attention Network for Multivariate Time-series Forecasting.
IJCAI
Haihua Xu, Wei Fan, Kun Yi, Pengyang Wang
2024 J jnl
Deep Coupling Network For Multivariate Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024 J jnl
Deep Coupling Network for Multivariate Time Series Forecasting.
ACM Trans. Inf. Syst.
Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024 A* conf
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
IJCAI
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 J jnl
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
CoRR
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
2024 A* conf
FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
NeurIPS
Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024 J jnl
FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
CoRR
Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
2024 A* conf
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
AAAI
An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2024 A* conf
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
IJCAI
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024 J jnl
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
CoRR
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024 J jnl
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng.
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2024 A* conf
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
ICML
Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024 J jnl
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
CoRR
Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024 J jnl
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR
Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2024 J jnl
Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR
Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2023 A* conf
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
ICDM
Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang
2023 A* conf
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
NeurIPS
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.
CoRR
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
CoRR
An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2023 A* conf
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
NeurIPS
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023 J jnl
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023 J jnl
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective.
CoRR
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2023 J jnl
Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
2022 A* conf
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.
AAAI
Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
2022 J jnl
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
CoRR
Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao
2022 J jnl
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR
Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu