activity
20192021
most citedTime-Series Anomaly Detection Service at Microsoft

588 citations · 596 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2021★ 3 cited

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

Qi Chen, Bing Zhao, Haidong Wang +5

The in-memory algorithms for approximate nearest neighbor search (ANNS) have achieved great success for fast high-recall search, but are extremely expensive when handling very larg…

cs.CR2021★ 1 cited

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version)

Xian Zhang, Xiaobing Guo, Zixuan Zeng +7

Anti-piracy is fundamentally a procedure that relies on collecting data from the open anonymous population, so how to incentivize credible reporting is a question at the center of…

cs.LG2020

OpEvo: An Evolutionary Method for Tensor Operator Optimization

Xiaotian Gao, Cui Wei, Lintao Zhang +1

Training and inference efficiency of deep neural networks highly rely on the performance of tensor operators on hardware platforms. Manually optimizing tensor operators has limitat…

cs.LG2019★ 4 cited

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Yujing Wang, Yaming Yang, Yiren Chen +7

Learning text representation is crucial for text classification and other language related tasks. There are a diverse set of text representation networks in the literature, and how…

cs.LG2019★ 588 cited

Time-Series Anomaly Detection Service at Microsoft

Hansheng Ren, Bixiong Xu, Yujing Wang +7

Large companies need to monitor various metrics (for example, Page Views and Revenue) of their applications and services in real time. At Microsoft, we develop a time-series anomal…