Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method | Paper Citation Record

Observation 152d5b07-1c2f-41cd-b9bb-fb305d1a10bd · outbound

This paper cites Cisco annual internet report (2018–2023) white paper,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Cisco annual internet report (2018–2023) white paper,

Reference 1

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Observation 1ca9b459-1b85-456a-8bd0-f244e1bb9867 · outbound

This paper cites A variegated look at 5g in the wild: performance, power, and qoe implications,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A variegated look at 5g in the wild: performance, power, and qoe implications,

Reference 2

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Observation 8e00829e-f9a2-43ef-839c-4357e2c58211 · outbound

This paper cites Evolution of wireless communication to 6g: Potential applications and research directions,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Evolution of wireless communication to 6g: Potential applications and research directions,

Reference 3

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Observation 19037be4-2959-40b7-a4e8-934f0846f34e · outbound

This paper cites Cell zooming for cost-efficient green cellular networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Cell zooming for cost-efficient green cellular networks,

Reference 4

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Observation 2d7d836c-5015-4f13-87f7-fc9dc28ae8dc · outbound

This paper cites The deep learning vision for heterogeneous network traffic control: Proposal, challenges, and future perspective,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method The deep learning vision for heterogeneous network traffic control: Proposal, challenges, and future perspective,

Reference 5

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This paper cites Deepcog: Optimizing resource provisioning in network slicing with ai-based capacity forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Deepcog: Optimizing resource provisioning in network slicing with ai-based capacity forecasting,

Reference 6

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This paper cites Intelligent 5g: When cellular networks meet artificial intelligence,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Intelligent 5g: When cellular networks meet artificial intelligence,

Reference 7

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Observation d24d821c-c2de-4f72-a87e-6661641af7f6 · outbound

This paper cites Wireless traffic modeling and prediction using seasonal arima models,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Wireless traffic modeling and prediction using seasonal arima models,

Reference 8

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Observation 4f8de4ab-1f9f-474b-b49b-e28074aae674 · outbound

This paper cites Traffic predictability based on arima/garch model,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Traffic predictability based on arima/garch model,

Reference 9

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Observation aed923cc-e156-4521-9780-dd59173242e7 · outbound

This paper cites Big data driven mobile traffic understanding and forecasting: A time series approach,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Big data driven mobile traffic understanding and forecasting: A time series approach,

Reference 10

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This paper cites The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice,

Reference 11

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Observation ab57724b-08c2-4708-be5c-70d3a2ab6424 · outbound

This paper cites Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.984528Z

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Observation d2da0f50-b09f-4079-854d-fae1500e3fa6 · outbound

This paper cites The learning and prediction of application-level traffic data in cellular networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method The learning and prediction of application-level traffic data in cellular networks,

Reference 13

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This paper cites 25 years of time series forecast- ing,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method 25 years of time series forecast- ing,

Reference 14

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Observation 5f112853-d32e-4870-b782-731a813bb2fd · outbound

This paper cites A study of deep learning networks on mobile traffic forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A study of deep learning networks on mobile traffic forecasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.943468Z

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Observation 4bf62b0a-6d24-467f-996b-7bd21982ded1 · outbound

This paper cites Citywide cellular traffic prediction based on densely connected convolutional neural networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Citywide cellular traffic prediction based on densely connected convolutional neural networks,

Reference 16

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Observation f153f5d6-c893-4d52-8f9f-78055d6edfc0 · outbound

This paper cites Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Deep transfer learning for intelligent cellular traffic prediction based on cross-domain big data,

Reference 17

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Observation 46d0fe1f-57ab-41c3-81fb-db1a6dd57221 · outbound

This paper cites Mvstgn: A multi-view spatial- temporal graph network for cellular traffic prediction,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Mvstgn: A multi-view spatial- temporal graph network for cellular traffic prediction,

Reference 18

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This paper cites Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Dynamic graph convolutional recurrent network for traffic prediction: Benchmark and solution,

Reference 19

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Observation ca64035b-a4e7-4f4e-a818-8d184b65de65 · outbound

This paper cites Approximation capabilities of multilayer feedforward net- works,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Approximation capabilities of multilayer feedforward net- works,

Reference 20

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This paper cites Gradient-based learning applied to document recognition,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Gradient-based learning applied to document recognition,

Reference 21

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This paper cites The graph neural network model,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method The graph neural network model,

Reference 22

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This paper cites Recurrent neural net- works and robust time series prediction,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Recurrent neural net- works and robust time series prediction,

Reference 23

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Observation ec9765d6-53f5-4016-8530-b6a6b1eb9f78 · outbound

This paper cites A meta-learning scheme for adaptive short-term network traffic prediction,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A meta-learning scheme for adaptive short-term network traffic prediction,

Reference 24

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This paper cites A forecasting approach to improve control and management for 5g networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A forecasting approach to improve control and management for 5g networks,

Reference 25

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Observation 11e6e5d7-ab18-498c-b34f-e2734c017806 · outbound

This paper cites Context- aware traffic prediction: Loss function formulation for predicting traffic in 5g networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Context- aware traffic prediction: Loss function formulation for predicting traffic in 5g networks,

Reference 26

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This paper cites Mobile traffic forecasting using a combined fft/lstm strategy in sdn networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Mobile traffic forecasting using a combined fft/lstm strategy in sdn networks,

Reference 27

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This paper cites Forecasting at scale,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Forecasting at scale,

Reference 28

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This paper cites N-beats: Neural basis expansion analysis for interpretable time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method N-beats: Neural basis expansion analysis for interpretable time series forecasting,

Reference 29

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Observation 304b1680-75c6-4081-8efa-2008c001889b · outbound

This paper cites Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting,

Reference 30

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Observation 5d8b9924-bd6b-4b41-b802-990f3953123e · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 31

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This paper cites FED- former: Frequency enhanced decomposed transformer for long-term series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method FED- former: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 32

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This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 33

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Observation d73a8ea8-897c-447d-9395-5dc17c101dd5 · outbound

This paper cites Progressive Neural Networks.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Progressive Neural Networks

Reference 34

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Observation 5ce6da18-9749-4fd8-80e4-96bf9773a158 · outbound

This paper cites Stl: A seasonal-trend decomposition,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Stl: A seasonal-trend decomposition,

Reference 35

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Observation caf2ec25-27d4-4a4f-8485-c14a7faaf5ae · outbound

This paper cites Forecasting time series with complex seasonal patterns using exponential smoothing,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Forecasting time series with complex seasonal patterns using exponential smoothing,

Reference 36

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This paper cites Time series forecasting for nonlinear and non- stationary processes: a review and comparative study,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Time series forecasting for nonlinear and non- stationary processes: a review and comparative study,

Reference 37

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Observation 543dec48-29a2-4a7b-bf9d-8e0ad6d31802 · outbound

This paper cites Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Analyzing and modeling spatio-temporal dependence of cellular traffic at city scale,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.656424Z

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Observation 42dc8b9f-fd3b-43ce-a768-ba2995b4c13e · outbound

This paper cites A multi-source dataset of urban life in the city of milan and the province of trentino,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A multi-source dataset of urban life in the city of milan and the province of trentino,

Reference 39

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Observation 1c8f4176-723e-4d7b-9b99-3823fad2434e · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Adam: A method for stochastic optimiza- tion,

Reference 40

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Observation cece223f-a8be-4770-87aa-a9e7adeb4c81 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 41

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Observation 8da0caa7-03ef-4849-af6c-4aec822401cf · outbound

This paper cites Frequency-domain mlps are more effective learners in time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Frequency-domain mlps are more effective learners in time series forecasting,

Reference 42

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This paper cites TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Reference 43

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This paper cites Fouriergnn: Rethinking multivariate time series forecast- ing from a pure graph perspective,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Fouriergnn: Rethinking multivariate time series forecast- ing from a pure graph perspective,

Reference 44

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Observation c6373fdf-5cd7-4c18-9fae-be82fa37c7e5 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A time series is worth 64 words: Long-term forecasting with transformers,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.584037Z

Source-reported events for the cited work

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Observation 61758911-5709-44bc-84b0-a2635a2cbb02 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 46

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Observation 91a7c77f-7be1-46c4-9ec4-8b13887d4693 · outbound

This paper cites Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

Reference 47

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Observation 67ea93ac-c94c-4267-97ca-48d3df2c4f7c · outbound

This paper cites Are transformers effective for time series forecasting?.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Are transformers effective for time series forecasting?

Reference 48

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Observation 05b4c0b7-023e-410d-92c3-0150d8e0e162 · outbound

This paper cites Attention is all you need,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Attention is all you need,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.555900Z

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Observation 8b2b04c9-02a9-4861-8da5-e99730eb1150 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Graph wavenet for deep spatial-temporal graph modeling,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.541529Z

Source-reported events for the cited work

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Observation 48285e3a-8dd0-4365-a1ba-240f33562e89 · outbound

This paper cites A distance measure for classifying arima models,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A distance measure for classifying arima models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.528650Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcee1e5f-f159-44d4-b52d-b538a72be9c1 · outbound

This paper cites Exponential smoothing: The state of the art,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Exponential smoothing: The state of the art,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.258232Z

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Observation b3bc3898-1dc8-4bf4-a1c6-701687c3d8d7 · outbound

This paper cites Parsimonious linear fingerprint- ing for time series,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Parsimonious linear fingerprint- ing for time series,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.508410Z

Source-reported events for the cited work

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Observation 8a17b160-cecb-4057-af35-ac1cdfec05e2 · outbound

This paper cites Classification and regression by randomfor- est,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Classification and regression by randomfor- est,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.496897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31844bee-e347-4c5b-b10d-dae9a770acb4 · outbound

This paper cites Online-svr for short-term traffic flow prediction under typical and atypical traffic conditions,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Online-svr for short-term traffic flow prediction under typical and atypical traffic conditions,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.485332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02006d16-1505-47d4-8829-63f831419263 · outbound

This paper cites Densely connected convolutional networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Densely connected convolutional networks,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.271799Z

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Observation 0e9b7e91-b4e9-4043-97ea-0e5cfb7dc339 · outbound

This paper cites Difftad: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Difftad: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.464747Z

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Observation 5d6c6954-4207-4679-8c41-e377c455c354 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method A time series is worth 64 words: Long-term forecasting with transformers,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.451314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2d5c0379-91f1-4166-b2c2-c82680c04545 · outbound

This paper cites Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.282341Z

Source-reported events for the cited work

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Observation b2bd5f31-5e54-4b27-af97-eae0b595fd93 · outbound

This paper cites En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.437732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 74a5035f-6e91-49c7-a2d8-2f56f802eaa5 · outbound

This paper cites Time-series,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Time-series,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.425481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea1ee0aa-5a1b-4072-a921-ffb4c2b42b01 · outbound

This paper cites Stwave ++: A multi- scale efficient spectral graph attention network with long-term trends for disentangled traffic flow forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Stwave ++: A multi- scale efficient spectral graph attention network with long-term trends for disentangled traffic flow forecasting,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.411787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1db40aef-1569-48ff-be4e-4b4e37f83f8c · outbound

This paper cites When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.397773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13056a02-bb21-4ae6-8782-66f4a45c6f38 · outbound

This paper cites Spatio-temporal hierarchical mlp network for traffic forecasting,.

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Spatio-temporal hierarchical mlp network for traffic forecasting,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.385003Z

Source-reported events for the cited work

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