{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:28:38Z","timestamp":1763191718003,"version":"3.45.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228242","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["WPMnet: Time Series Forecasting via Wavelet Patch Multi-Scale"],"prefix":"10.1109","author":[{"given":"Botao","family":"Wu","sequence":"first","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}]},{"given":"Xuelin","family":"Cheng","sequence":"additional","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}]},{"given":"Haozheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}]},{"given":"Runjie","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang University,School of Software Technology,Ningbo,China"}]},{"given":"Chang","family":"You","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology,College of Computer Science &#x0026; Technology,Hangzhou,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.09.010"},{"key":"ref2","first-page":"22419","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","author":"Wu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"journal-title":"Mpr-net: Multi-scale pattern reproduction guided universality time series interpretable forecasting","year":"2023","author":"Zhao","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110794"},{"key":"ref5","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref7","article-title":"Contiformer: Continuous-time transformer for irregular time series modeling","volume":"36","author":"Chen","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"article-title":"Timemixer: Decomposable multiscale mixing for time series forecasting","volume-title":"ICLR","author":"Wang","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i13.29337"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00264"},{"article-title":"Timesnet: Temporal 2d-variation modeling for general time series analysis","volume-title":"ICLR","author":"Wu","key":"ref12"},{"article-title":"Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting","volume-title":"ICLR","author":"Liu","key":"ref13"},{"key":"ref14","first-page":"5816","article-title":"Scinet: Time series modeling and forecasting with sample convolution and interaction","volume":"35","author":"Liu","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446883"},{"journal-title":"Adawavenet: Adaptive wavelet network for time series analysis","year":"2024","author":"Yu","key":"ref16"},{"journal-title":"Timesieve: Extracting temporal dynamics through information bottlenecks","year":"2024","author":"Feng","key":"ref17"},{"journal-title":"On the relationship between self-attention and convolutional layers","year":"2019","author":"Cordonnier","key":"ref18"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"ICLR","author":"Dosovitskiy","key":"ref19"},{"article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"ICLR","author":"Nie","key":"ref20"},{"journal-title":"Patchmixer: A patch-mixing architecture for long-term time series forecasting","year":"2023","author":"Gong","key":"ref21"},{"journal-title":"Learning to embed time series patches independently","year":"2023","author":"Lee","key":"ref22"},{"journal-title":"Mts-mixers: Multivariate time series forecasting via factorized temporal and channel mixing","year":"2023","author":"Li","key":"ref23"},{"journal-title":"Tsmixer: An all-mlp architecture for time series forecasting","year":"2023","author":"Chen","key":"ref24"},{"article-title":"Reversible instance normalization for accurate time-series forecasting against distribution shift","volume-title":"ICLR","author":"Kim","key":"ref25"},{"journal-title":"Gaussian error linear units (gelus)","year":"2016","author":"Hendrycks","key":"ref26"},{"article-title":"itransformer: Inverted transformers are effective for time series forecasting","volume-title":"ICLR","author":"Liu","key":"ref27"},{"key":"ref28","first-page":"27268","article-title":"Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting","volume-title":"ICML","author":"Zhou"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228242.pdf?arnumber=11228242","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:26:55Z","timestamp":1763191615000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228242\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228242","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}