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Defu Cao
Defu Cao
Peking University; University of Southern California
Подтвержден адрес электронной почты в домене usc.edu - Главная страница
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Процитировано
Процитировано
Год
Multivariate time-series anomaly detection via graph attention network
H Zhao, Y Wang, J Duan, C Huang, D Cao, Y Tong, B Xu, J Bai, J Tong, ...
2020 IEEE international conference on data mining (ICDM), 841-850, 2020
6702020
Spectral temporal graph neural network for multivariate time-series forecasting
D Cao, Y Wang, J Duan, C Zhang, X Zhu, C Huang, Y Tong, B Xu, J Bai, ...
Advances in neural information processing systems 33, 17766-17778, 2020
6362020
TEMPO: Prompt-based generative pre-trained transformer for time series forecasting
D Cao, F Jia, SO Arik, T Pfister, Y Zheng, W Ye, Y Liu
ICLR 2024, 2023
1702023
When physics meets machine learning: A survey of physics-informed machine learning
C Meng, S Seo, D Cao, S Griesemer, Y Liu
arXiv preprint arXiv:2203.16797, 2022
972022
Spectral temporal graph neural network for trajectory prediction
D Cao, J Li, H Ma, M Tomizuka
2021 IEEE International Conference on Robotics and Automation (ICRA), 1839-1845, 2021
802021
Gpt4mts: Prompt-based large language model for multimodal time-series forecasting
F Jia, K Wang, Y Zheng, D Cao, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23343 …, 2024
442024
Counterfactual neural temporal point process for estimating causal influence of misinformation on social media
Y Zhang, D Cao, Y Liu
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
242022
Detecting out-of-context multimodal misinformation with interpretable neural-symbolic model
Y Zhang, L Trinh, D Cao, Z Cui, Y Liu
arXiv preprint arXiv:2304.07633 2, 2023
202023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
D Cao, J Enouen, Y Wang, X Song, C Meng, H Niu, Y Liu
AAAI 2023, 2023
202023
FTCLNet: Convolutional LSTM with Fourier transform for vulnerability detection
D Cao, J Huang, X Zhang, X Liu
2020 IEEE 19th International Conference on Trust, Security and Privacy in …, 2020
202020
Mu2rest: Multi-resolution recursive spatio-temporal transformer for long-term prediction
H Niu, C Meng, D Cao, G Habault, R Legaspi, S Wada, C Ono, Y Liu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 68-80, 2022
122022
Coupled multiwavelet neural operator learning for coupled partial differential equations
X Xiao, D Cao, R Yang, G Gupta, G Liu, C Yin, R Balan, P Bogdan
ICLR 2023, 2023
102023
Neuro-inspired information-theoretic hierarchical perception for multimodal learning
X Xiao, G Liu, G Gupta, D Cao, S Li, Y Li, T Fang, M Cheng, P Bogdan
arXiv preprint arXiv:2404.09403, 2024
92024
Svgformer: Representation learning for continuous vector graphics using transformers
D Cao, Z Wang, J Echevarria, Y Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
D Cao, Y El-Laham, L Trinh, S Vyetrenko, Y Liu
NeurIPS 2022 on Distribution Shifts: Connecting Methods and Applications, 2022
9*2022
Effects of Non‐Ionic Surfactants on the Rheological, Electrical and Electrochemical Properties of Highly Loaded Silicon Suspension Electrodes for Semi‐Solid Flow Batteries
Y Wu, D Cao, X Bai, H Liu, H Hao, J Xing, J Dong, L Liao
ChemElectroChem 7 (17), 3623-3631, 2020
92020
Coupled Multiwavelet Operator Learning for Coupled Differential Equations
X Xiao, D Cao, R Yang, G Gupta, G Liu, C Yin, R Balan, P Bogdan
The 7th International Conference on Learning Representations, 0
9*
Time-delayed multivariate time series predictions
H Niu, G Habault, R Legaspi, C Meng, D Cao, S Wada, C Ono, Y Liu
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
82023
Enhancing self-attention with knowledge-assisted attention maps
J Bai, Y Wang, H Sun, R Wu, T Yang, P Tang, D Cao, M Zhang, Y Tong, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
82022
An examination on the effectiveness of divide-and-conquer prompting in large language models
Y Zhang, L Du, D Cao, Q Fu, Y Liu
arXiv preprint arXiv:2402.05359, 2024
72024
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Статьи 1–20