Ellie Wen

Computer Science · Physical Sciences

6h-index165citations16works0.82yr avg
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Research Topics

Recommender Systems and Techniques(8), Stochastic Gradient Optimization Techniques(5), Parallel Computing and Optimization Techniques(4), Advanced Graph Neural Networks(3), Advanced Neural Network Applications(2)

Publications16 total

Generative Reasoning Re-ranker
ArXiv.org·2026Open Access
Generative Reasoning Re-ranker
arXiv (Cornell University)·2026Open Access
C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems
arXiv (Cornell University)·2025Open Access
Closing the Online-Offline Gap: A Scalable Framework for Composed Model Evaluation
2025
Negative Exclusion Filtering: Optimizing Ad Delivery Efficiency for Large-Scale Social Media Platforms
2025Open Access
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
2025· 6 citedOpen Access
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
arXiv (Cornell University)·2025Open Access
Personalized Interpolation: Achieving Efficient Conversion Estimation with Flexible Optimization Windows
ArXiv.org·2025Open Access
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
arXiv (Cornell University)·2023Open Access
Software-hardware co-design for fast and scalable training of deep learning recommendation models
2022· 116 cited
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
arXiv (Cornell University)·2022· 8 citedOpen Access
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
arXiv (Cornell University)·2021Open Access
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale
IEEE Micro·2021· 8 cited
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
arXiv (Cornell University)·2021· 18 citedOpen Access
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
arXiv (Cornell University)·2021· 3 citedOpen Access
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data
arXiv (Cornell University)·2020· 6 citedOpen Access

Frequent Co-authors

Jiyan Yang(8), Jongsoo Park(7), Maxim Naumov(5), Mikhail Smelyanskiy(5), Dheevatsa Mudigere(4), Yuchen Hao(4), Jianyu Huang(4), Huayu Li(4), Yinbin Ma(4), Mingfu Liang(4), Liang Tan(4), Srinivas Sridharan(3), Mustafa Özdal(3), Jade Nie(3), Leon Gao(3), Aarti Basant(3), Ehsan K. Ardestani(3), Xiaodong Wang(3), Rakesh Komuravelli(3), Ching-Hsiang Chu(3)