Lintao Ma

According to our database1, Lintao Ma authored at least 16 papers between 2016 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DiffusionTrack: Diffusion Model for Multi-Object Tracking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.
CoRR, 2023

Continuous Invariance Learning.
CoRR, 2023

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
CoRR, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.
CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.
Proceedings of the Database Systems for Advanced Applications, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.
CoRR, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Memory Augmented State Space Model for Time Series Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
A Graph Regularized Point Process Model For Event Propagation Sequence.
Proceedings of the International Joint Conference on Neural Networks, 2021

2019
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

2016
A Context-Aware Method for Top-k Recommendation in Smart TV.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016


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