MLSP-L8: Spatio-Temporal Learning for Time Series Forecasting
Oral
Wed, 6 May, 09:00 - 11:00
Location: Room 112
Session Type: Oral
Track: Machine Learning for Signal Processing [ML]
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Wed, 6 May, 09:00 - 09:20

MLSP-L8.1: SIM-MSTNET: SIM2REAL BASED MULTI-TASK SPATIOTEMPORAL NETWORK TRAFFIC FORECASTING
Hui Ma, Qingzhong Li, Jin Wang, Jie Wu, Xinjiang University, China; Shaoyu Dou, Tongji University, China; Li Feng, Bielefeld University, Germany; Xinjun Pei, Xinjiang University, China
Wed, 6 May, 09:20 - 09:40

MLSP-L8.2: CFGAN: COMPLEX FREQUENCY-DOMAIN GRAPH ATTENTION NETWORK FOR TIME SERIES FORECASTING
Zhihao Li, Lele Gao, Jinan University, China; Wenlong Qiu, Jiangxi Normal University, China; Wenyun Xiao, Jinan University, China; Hongnian Wang, North Sichuan Medical College, China
Wed, 6 May, 09:40 - 10:00

MLSP-L8.3: TSAR: Scalable Time Series Forecasting Meets Next-Scale Autoregressive Modeling
Hao Yang, Yuancheng Bian, Robert Caiming Qiu, Zenan Ling, Huazhong University of Science and Technology, China
Wed, 6 May, 10:00 - 10:20

MLSP-L8.4: A DECOMPOSITION-BASED STATE SPACE MODEL FOR MULTIVARIATE TIME-SERIES FORECASTING
Shunya Nagashima, Shuntaro Suzuki, Shuitsu Koyama, Shinnosuke Hirano, Neurogica Inc., Japan
Wed, 6 May, 10:20 - 10:40

MLSP-L8.5: FLEXIBLE FILTER DESIGN USING DEEP OSCILLATORY NEURAL NETWORKS
Kishore Rajendran, University of California San Diego, United States of America; Nurani Rajagopal Rohan, David Koilpillai, V. Srinivasa Chakravarthy, Indian Institute of Technology Madras, India
Wed, 6 May, 10:40 - 11:00

MLSP-L8.6: A DISCRETE WAVELET TRANSFORM-BASED LIGHTWEIGHT TRANSFORMER MODEL FOR INTELLIGENT FAULT DIAGNOSIS
Jiarui Zhou, Sinian Li, Justin Dauwels, Delft University of Technology, Netherlands