Yingtao Luo

Orcid: 0000-0003-1794-3657

According to our database1, Yingtao Luo authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training.
CoRR, 2024

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring.
IEEE Trans. Knowl. Data Eng., July, 2023

GSLB: The Graph Structure Learning Benchmark.
CoRR, 2023

GSLB: The Graph Structure Learning Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Improving Multi-Interest Network with Stable Learning.
CoRR, 2022

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CoRR, 2022

Learning Differential Operators for Interpretable Time Series Modeling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Heterogeneous Graph Based Knowledge Tracing.
Proceedings of the 11th International Conference on Educational and Information Technology, 2022

Deep Stable Representation Learning on Electronic Health Records.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer.
CoRR, 2021

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE).
CoRR, 2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients.
CoRR, 2021

STAN: Spatio-Temporal Attention Network for Next Location Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Deep Spatial Learning with Molecular Vibration.
CoRR, 2020

A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures.
CoRR, 2020


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