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Tao Di
Observed name:
Di, Tao
Institutions:
Microsoft (United States),
Emory University
Observed institutions:
Microsoft (United States),
Emory University
OpenAlex ID:
A5112900210
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
2022
·
Shitao Xiao
, Zheng Liu
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
40
PDF
Neural CTR Prediction for Native Ad
2019
·
Mingxiao An
, Fangzhao Wu
, et al.
·
Lecture notes in computer science
·
7
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data
2020
·
Wu, Chuhan
, Wu, Fangzhao
, et al.
·
arXiv (Cornell University)
·
3
PDF
Training Microsoft News Recommenders with Pretrained Language Models in the Loop.
2021
·
Shitao Xiao
, Zheng Liu
, et al.
·
arXiv (Cornell University)
·
2
Learning Better Reasoning for Generative Recommendation with Semantic IDs
2026
·
Zhu, Mengdan
, Zhao, Yufan
, et al.
·
arXiv (Cornell University)
PDF
From Interests to Semantic IDs: Retrieval-Grounded Credit Assignment for Generative Recommendation
2026
·
Zhu, Mengdan
, Zhao, Yufan
, et al.
·
arXiv (Cornell University)
PDF
Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
2026
·
Zhu, Mengdan
, Zhao, Yufan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
7
Citation count:
52
H-index:
3
I10-index:
1
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