Defu Cao

Orcid: 0000-0003-0240-3818

According to our database¹, Defu Cao authored at least 22 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving.

[BibT_eX]

[DOI]

CoRR, 2024

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Neuro-Inspired Hierarchical Multimodal Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model.

[BibT_eX]

[DOI]

CoRR, 2023

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2023

Estimating Treatment Effects in Continuous Time with Hidden Confounders.

[BibT_eX]

[DOI]

Defu Cao

James Enouen

Yan Liu

CoRR, 2023

Time-delayed Multivariate Time Series Predictions.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Coupled Multiwavelet Operator Learning for Coupled Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Large Scale Financial Time Series Forecasting with Multi-faceted Model.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

SVGformer: Representation Learning for Continuous Vector Graphics using Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.

[BibT_eX]

[DOI]

CoRR, 2022

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media.

[BibT_eX]

[DOI]

Yizhou Zhang

Defu Cao

Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Spectral Temporal Graph Neural Network for Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Trust, 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multivariate Time-series Anomaly Detection via Graph Attention Network.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Defu Cao

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