3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
Learned Data Compression: Challenges and Opportunities for the Future
Qiyu Liu, Siyuan Han, Jianwei Liao +4
Compressing integer keys is a fundamental operation among multiple communities, such as database management (DB), information retrieval (IR), and high-performance computing (HPC).…
Why Are Learned Indexes So Effective but Sometimes Ineffective?
Qiyu Liu, Siyuan Han, Yanlin Qi +4
Learned indexes have attracted significant research interest due to their ability to offer better space-time trade-offs compared to traditional B+-tree variants. Among various lear…
Automate Strategy Finding with LLM in Quant Investment
Zhizhuo Kou, Holam Yu, Junyu Luo +7
We present a novel three-stage framework leveraging Large Language Models (LLMs) within a risk-aware multi-agent system for automate strategy finding in quantitative finance. Our a…
UniCL: A Universal Contrastive Learning Framework for Large Time Series Models
Jiawei Li, Jingshu Peng, Haoyang Li +1
Time-series analysis plays a pivotal role across a range of critical applications, from finance to healthcare, which involves various tasks, such as forecasting and classification.…