CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Simeng Bai; Kun Yi 001; Zhendong Niu (AAAI, 2022)

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Liang Hu 004; Hui He; Ning An 001; Longbing Cao; Zhendong Niu (CoRR, 2022)

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. - Xuanming Hu; Wei Fan 010; Kun Yi 001; Pengfei Wang 008; Yuanbo Xu; Yanjie Fu; Pengyang Wang (ICDM, 2023)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Hui He; Liang Hu 004; Pengyang Wang; Ning An 001; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Shoujin Wang; Pengyang Wang; Hui He; Ning An 001; Defu Lian; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Neural Time Series Analysis with Fourier Transform: A Survey. - Kun Yi 001; Qi Zhang 020; Shoujin Wang; Hui He; Guodong Long; Zhendong Niu (CoRR, 2023)

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. - An Lao; Qi Zhang 020; Chongyang Shi 001; Longbing Cao; Kun Yi 001; Liang Hu 004; Duoqian Miao 001 (AAAI, 2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Yu Zhang 133; Qi Zhang 020; Zixuan Gong; Yiwei Shi; Yepeng Liu; Duoqian Miao 001; Yang Liu; Ke Liu; Kun Yi 001; Wei Fan 010; Liang Hu 004; Changwei Wang 001 (ICML, 2024)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. - Wei Fan 010; Kun Yi 001; Hangting Ye; Zhiyuan Ning; Qi Zhang 020; Ning An 001 (IJCAI, 2024)

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Wei Fan 010; Liang Hu 004 (IJCAI, 2024)

Decoupled Invariant Attention Network for Multivariate Time-series Forecasting. - Haihua Xu 005; Wei Fan 010; Kun Yi 001; Pengyang Wang (IJCAI, 2024)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting. - Kun Yi 001; Jingru Fei; Qi Zhang 020; Hui He; Shufeng Hao; Defu Lian; Wei Fan 010 (NeurIPS, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. - Hui He; Qi Zhang 020; Kun Yi 001; Xiaojun Xue; Shoujin Wang; Liang Hu 004; Longbing Cao (CoRR, 2024)

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. - Hui He; Qi Zhang 020; Shoujin Wang; Kun Yi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2024)

Deep Coupling Network for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Hui He; Kaize Shi; Liang Hu 004; Ning An 001; Zhendong Niu (ACM Trans. Inf. Syst., 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. - Jingru Fei; Kun Yi 001; Wei Fan 010; Qi Zhang 020; Zhendong Niu (AAAI, 2025)

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. - Wei Fan 010; Shun Zheng 001; Pengyang Wang; Rui Xie 002; Kun Yi 001; Qi Zhang 020; Jiang Bian 002; Yanjie Fu (KDD (1), 2025)

Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (WWW, 2025)

Self-attention based cloud top height retrieval for intelligent meteorological service recommendation. - Xuhao Shi; Jie Zhang; Guoqiang Liu; Kun Yi 001; Muhammad Bilal 003 (Inf. Sci., 2025)

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification. - Wei Fan 010; Jingru Fei; Dingyu Guo; Kun Yi 001; Xiaozhuang Song; Haolong Xiang; Hangting Ye; Min Li 007 (CoRR, 2025)

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Kun Yi 001; Kaize Shi; Zhendong Niu; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection. - Jianing He; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Shufeng Hao; Hongyun Zhang; Zhihua Wei 001 (CoRR, 2025)

Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xuerong Zhao; Guangyin Bao; Liang Hu 004; Kun Yi 001; Yu Zhou (Inf. Fusion, 2026)