Jiyan Yang

Guiyang Medical University — China

Computer Science · Physical Sciences

19h-index1.1kcitations62works1.02yr avg
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Research Topics

Stochastic Gradient Optimization Techniques(18), Recommender Systems and Techniques(15), Sparse and Compressive Sensing Techniques(9), Advanced Neural Network Applications(8), Advanced Graph Neural Networks(8)

Publications62 total

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations
arXiv (Cornell University)·2025Open Access
Double-layer active packaging for sustainable fish preservation: polyvinyl alcohol electrospun membranes enhanced by cinnamaldehyde-loaded pickering emulsions
LWT·2025Open Access
Multi-Objective Bilevel Learning
arXiv (Cornell University)·2025Open Access
<scp>InterFormer:</scp> Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
2025Open Access
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
2025· 4 cited
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
2025· 6 citedOpen Access
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID
arXiv (Cornell University)·2025Open Access
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
arXiv (Cornell University)·2025Open Access
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
arXiv (Cornell University)·2025· 1 citedOpen Access
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
2025· 1 citedOpen Access
Dual-Layer Active Packaging Material Based on Polyvinyl Alcohol Electrospun Nanofibres and Pickering Emulsion for Fish Fillet Preservation: Improved Stability of Active Ingredients
SSRN Electronic Journal·2025Open Access
A Collaborative Ensemble Framework for CTR Prediction
arXiv (Cornell University)·2024Open Access
InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
arXiv (Cornell University)·2024Open Access
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
2024· 1 citedOpen Access
AutoML for Large Capacity Modeling of Meta's Ranking Systems
2024· 2 citedOpen Access
AutoML for Large Capacity Modeling of Meta's Ranking Systems
arXiv (Cornell University)·2023Open Access
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale
arXiv (Cornell University)·2023Open Access
AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations
2023· 16 cited
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
arXiv (Cornell University)·2023Open Access
Corrigendum: Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning
Frontiers in Neurology·2023· 4 citedOpen Access
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Frequent Co-authors

Michael W. Mahoney(16), Yinlam Chow(10), Dheevatsa Mudigere(9), Jongsoo Park(7), Maxim Naumov(7), Ellie Wen(6), Christopher Ré(6), Junjie Qin(6), Huayu Li(5), Ram Rajagopal(5), Bor-Yiing Su(5), Yuchen Hao(4), Srinivas Sridharan(4), Mustafa Özdal(4), Whitney Zhao(4), Krishnakumar Nair(4), Mikhail Smelyanskiy(4), Alex Gittens(4), Prabhat(4), Xi Liu(4)