Scholar

Le Yu

Google Scholar ID: -h_ehVsAAAAJ

Alibaba Qwen Team, Beihang University

Language Models

Citations & Impact

All-time

Citations

5,860

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

2 items

2026

Cited

2026

Cited

Resume (English only)

Academic Achievements

2024: Papers accepted at ICML, ACM TOIS, KSEM, IEEE TKDE (2 papers), and 2 arXiv preprints.
2023: Papers accepted at NeurIPS, EMNLP (Findings), IEEE TKDE (2 papers), and 1 arXiv preprint.
2022: Papers accepted at IJCAI, AAAI, IEEE TKDE, WWW, and Knowledge-Based Systems.
2020: Papers accepted at KDD and Neurocomputing.
Successfully defended doctoral dissertation in June 2024.

Background

Currently an Algorithm Engineer at the Qwen Team, Alibaba Group, primarily responsible for post-training alignment of the Qwen series models.
Research interests include (large) language models, graph neural networks, and recommender systems.
Focuses on designing neural networks for representation learning on spatio-temporal data (including texts, sequences, and graphs) and applying learned representations to various real-world scenarios.
Has published multiple peer-reviewed papers in top-tier venues such as ICML, NeurIPS, KDD, WWW, IEEE TKDE, ACM TOIS, EMNLP, AAAI, and IJCAI.
Has served as a PC member/reviewer for conferences/journals including ICLR, AAAI, LOG, ACM TOIS, ACM TKDD, IEEE TKDE, IEEE TNNLS, and Neural Networks.

Co-authors

11 total