Yuan Wang

Yuan Wang

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Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings
Jimin Li
Eric Xiao
Wei Qiao
Katie Warren
Enming Luo
Krishna Viswanathan
Ariel Fuxman
Yuan Wang
Bill Li
Yintao Liu
(2025)
Scaling Up LLM Reviews for Google Ads Content Moderation
Ariel Fuxman
Chih-Chun Chia
Chun-Ta Lu
Dongjin Kwon
Enming Luo
Mehmet Tek
Otilia Stretcu
Ranjay Krishna
Tiantian Fang
Tushar Dogra
Wei Qiao
Yu-Han Lyu
Yuan Wang
(2024)
Advertiser Content Understanding via LLMs for Google Ads Safety
Wei Qiao
Josey Wallace
Tushar Dogra
Yuan Wang
2024
Scalable Hierarchical Agglomerative Clustering
Nick Monath
Avinava Dubey
Guru Prashanth Guruganesh
Manzil Zaheer
Amr Mahmoud El Houssieny Ahmed
Andrew McCallum
Gokhan Mergen
Marc Najork
Mert Terzihan
Bryon Tjanaka
Yuan Wang
Yuchen Wu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2021), 1245–1255
Anchor & Transform: Learning Sparse Representations of Discrete Objects
Amr Mahmoud El Houssieny Ahmed
Manzil Zaheer
Paul Pu Liang
Yuan Wang
ICLR (2019)
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models
Manzil Zaheer
Amr Ahmed
Yuan Wang
Daniel Silva
Marc Najork
Yuchen Wu
Shibani Sanan
Surojit Chatterjee
Proceedings of the 12 ACM International Conference on Web Search and Data Mining (2019), pp. 186-194
State Space LSTM Models with Particle MCMC Inference
Xun Zheng
Manzil Zaheer
Amr Ahmed
Yuan Wang
Alex J. Smola
Eric Xing
The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) workshop on Bayesian Deep Learning. (2017)
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications
Amr Ahmed
Daniel Silva
James Long
Yuan Wang
KDD (2017), pp. 1713-1721
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