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Di Bai
Observed name:
Bai, Di
Institutions:
Google (United States),
University of Toronto,
Chinese Academy of Sciences,
Google DeepMind (United Kingdom),
National Astronomical Observatories,
University of Chinese Academy of Sciences
show all 6
Observed institutions:
Google (United States),
University of Toronto,
Chinese Academy of Sciences,
Google DeepMind (United Kingdom),
National Astronomical Observatories,
University of Chinese Academy of Sciences
show all 6
ORCID:
0009-0009-1813-4844
Observed ORCID:
0009-0009-1813-4844
OpenAlex ID:
A5134930179
Dream-RSI: Recursive Self-Improvement through Evolving Worlds
2026
·
Zheng, Tong
, Wu, Xidong
, et al.
·
arXiv (Cornell University)
·
27
PDF
AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
2026
·
Wu, Xidong
, Zhuan, Yue
, et al.
·
arXiv (Cornell University)
·
8
PDF
Decomposing Staleness in Recommender Systems: A Dual-Filter Framework for Supersession and Decay
2026
·
Di Bai
, Feng Han
, et al.
·
ACM International Conference on Information and Knowledge Management (CIKM)
See you again: an $80^\circ$ NGC~5466 stellar stream and its constraints on the Galactic dark halo mass
2026
·
Bai, Di
, Yang, Yong
, et al.
·
arXiv (Cornell University)
PDF
Toolflation: Seller Agents Distort Tool Markets Through Spontaneous Generative Engine Optimization
2026
·
Tang, Zhenwei
, Bai, Di
, et al.
·
arXiv (Cornell University)
PDF
Reasoning Reranking with Semantic IDs as the Sole Item Representation
2026
·
Tang, Zhenwei
, Liu, Jintao
, et al.
·
arXiv (Cornell University)
PDF
Humanity's Last Choice: A Common Evaluation Standard for Generative Engine Optimization
2026
·
Wen, Qianfeng
, Liu, Yifan Simon
, et al.
·
arXiv (Cornell University)
PDF
Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study
2026
·
Di Bai
, Jintao Liu
, et al.
·
ACM Conference on Recommender Systems (RecSys)
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Works count:
8
Citation count:
35
H-index:
2
I10-index:
1
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