Chonglin Sun
According to our database1,
Chonglin Sun authored at least 14 papers
between 2015 and 2026.
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Bibliography
2026
SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling.
CoRR, April, 2026
Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation.
Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026
2025
Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation.
CoRR, October, 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation.
CoRR, February, 2025
2024
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System.
CoRR, 2024
2022
Software-hardware co-design for fast and scalable training of deep learning recommendation models.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
2021
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
CoRR, 2021
2020
2016
Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations.
IEEE Access, 2016
2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015