activity
20172022
most citedAre Updatable Learned Indexes Ready?

69 citations · 80 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DB2022★ 3 cited

When Private Blockchain Meets Deterministic Database

Ziliang Lai, Chris Liu, Eric Lo

Private blockchain as a replicated transactional system shares many commonalities with distributed database. However, the intimacy between private blockchain and deterministic data…

cs.DB2022★ 69 cited

Are Updatable Learned Indexes Ready?

Chaichon Wongkham, Baotong Lu, Chris Liu +3

Recently, numerous promising results have shown that updatable learned indexes can perform better than traditional indexes with much lower memory space consumption. But it is unkno…

cs.DB2020★ 1 cited

Top-K Deep Video Analytics: A Probabilistic Approach

Ziliang Lai, Chenxia Han, Chris Liu +3

The impressive accuracy of deep neural networks (DNNs) has created great demands on practical analytics over video data. Although efficient and accurate, the latest video analytic…

cs.DB2018

Towards Self-Tuning Parameter Servers

Chris Liu, Pengfei Zhang, Bo Tang +4

Recent years, many applications have been driven advances by the use of Machine Learning (ML). Nowadays, it is common to see industrial-strength machine learning jobs that involve…

cs.IR2018★ 4 cited

Decentralized Search on Decentralized Web

Ziliang Lai, Chris Liu, Eric Lo +2

Decentralized Web, or DWeb, is envisioned as a promising future of the Web. Being decentralized, there are no dedicated web servers in DWeb; Devices that retrieve web contents also…

cs.DB2017★ 3 cited

InferSpark: Statistical Inference at Scale

Zhuoyue Zhao, Jialing Pei, Eric Lo +2

The Apache Spark stack has enabled fast large-scale data processing. Despite a rich library of statistical models and inference algorithms, it does not give domain users the abilit…