Chonglin Sun

According to our database1, Chonglin Sun authored at least 14 papers between 2015 and 2026.

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Timeline

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Bibliography

2026
Learning Evidence Highlighting for Frozen LLMs.
CoRR, April, 2026

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling.
CoRR, April, 2026

Generative Reasoning Re-ranker.
CoRR, February, 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

2021
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.
CoRR, 2021

2020
Time-based Sequence Model for Personalization and Recommendation Systems.
CoRR, 2020

2016
Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations.
IEEE Access, 2016

2015
A C-LSTM Neural Network for Text Classification.
CoRR, 2015

Category Enhanced Word Embedding.
CoRR, 2015

Efficient Methods for Multi-label Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015


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