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Dong Liang
Observed name:
Liang, Dong
Institution:
Meta (United States)
Observed institution:
Meta (United States)
ORCID:
0009-0007-1832-0765
Observed ORCID:
0009-0007-1832-0765
OpenAlex ID:
A5103089343
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta
2024
·
Wei Zhang
, Dai Li
, et al.
·
International World Wide Web Conference (WWW)
·
12
PDF
Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms
2025
·
Min Zhang
, Ganlin Song
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
1
PDF
Towards Complementary Keypoint Detection via Mixture of Detectors
2026
·
Lu, Xiaoyong
, Xiao, Guobao
, et al.
·
arXiv (Cornell University)
PDF
SOLARIS:Speculative Offloading of Latent-bAsed Representation for Inference Scaling
2026
·
Zikun Liu
, Liang Luo
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Cross-Stage Signal Propagation for Negative Filtering in Multi-Stage Ad Delivery
2026
·
Min Zhang
, Ganlin Song
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations
2026
·
Liang Luo
, Yuxin Chen
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling
2026
·
Liu, Zikun
, Luo, Liang
, et al.
·
arXiv (Cornell University)
PDF
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
2024
·
Gu, Shuhao
, Zhang, Jialing
, et al.
·
arXiv (Cornell University)
PDF
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System
2024
·
Zhou, Fang
, Huang, Yaning
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
9
Citation count:
13
H-index:
1
I10-index:
1
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