Buyun Zhang

Orcid: 0009-0007-9053-4661

According to our database1, Buyun Zhang authored at least 17 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LoKA: Low-precision Kernel Applications for Recommendation Models At Scale.
CoRR, May, 2026

Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction.
CoRR, March, 2026


2025
Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations.
CoRR, December, 2025

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.
CoRR, February, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.
CoRR, January, 2025

InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction.
CoRR, 2024

Wukong: Towards a Scaling Law for Large-Scale Recommendation.
CoRR, 2024

AutoML for Large Capacity Modeling of Meta's Ranking Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Wukong: Towards a Scaling Law for Large-Scale Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DistDNAS: Search Efficient Feature Interactions within 2 Hours.
Proceedings of the IEEE International Conference on Big Data, 2024

2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.
CoRR, 2022

2019
Colorectal cancer predictive test using germ-line DNA data and multiple machine learning methods
PhD thesis, 2019


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