Jinliang Deng
Orcid: 0000-0002-0759-947X
According to our database1,
Jinliang Deng
authored at least 20 papers
between 2021 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, January, 2024
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting.
CoRR, 2024
The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting.
CoRR, 2024
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
2023
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., August, 2023
World Wide Web (WWW), July, 2023
CoRR, 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
CoRR, 2023
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR, 2023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data, 2021
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021