Yuchen Li

Orcid: 0000-0002-3869-7881

Affiliations:

Shanghai Jiao Tong University, China
Dalian University of Technology, Dalian, Liaoning, China (former)

According to our database¹, Yuchen Li authored at least 17 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

GS<sup>2</sup>P: a generative pre-trained learning to rank model with over-parameterization for web-scale search.

[BibT_eX]

[DOI]

Mach. Learn., July, 2024

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2024

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).

[BibT_eX]

[DOI]

CoRR, 2024

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.

[BibT_eX]

[DOI]

CoRR, 2024

When Search Engine Services meet Large Language Models: Visions and Challenges.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Learning-based congestion control simulator for mobile internet education.

[BibT_eX]

[DOI]

Proceedings of the MobiArch@MobiCom 2021: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, 2021

2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Yuchen Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...