Le Dai

Orcid: 0000-0002-3594-9326

According to our database1, Le Dai authored at least 12 papers between 2020 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing.
Qual. Reliab. Eng. Int., December, 2024

A parallel deep neural network for intelligent fault diagnosis of drilling pumps.
Eng. Appl. Artif. Intell., 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation.
CoRR, 2024

Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Causal Inference.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.
Proceedings of the ACM Web Conference 2023, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process.
Reliab. Eng. Syst. Saf., 2022

PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio.
Proceedings of the International Joint Conference on Neural Networks, 2022

Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

2020
Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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