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Jinliang Deng

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The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting

Feb 03, 2024
Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong

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Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting

Dec 01, 2023
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Xuan Song

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STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

Aug 26, 2023
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song

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Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

Aug 22, 2023
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song

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Learning Gaussian Mixture Representations for Tensor Time Series Forecasting

Jun 07, 2023
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

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Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation

Jun 07, 2023
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang

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Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting

May 24, 2023
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang

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A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting

Sep 02, 2021
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

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DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

Aug 20, 2021
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki

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