activity
20192023
most citedTime2Graph: Revisiting Time Series Modeling with Dynamic Shapelets

75 citations · 129 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2023

Breaking the Curse of Quality Saturation with User-Centric Ranking

Zhuokai Zhao, Yang Yang, Wenyu Wang +5

A key puzzle in search, ads, and recommendation is that the ranking model can only utilize a small portion of the vastly available user interaction data. As a result, increasing da…

cs.SI2021★ 6 cited

How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode

Xuanwen Huang, Yang Yang, Ziqiang Cheng +5

A taocode is a kind of specially coded text-link on Taobao(the world's biggest online shopping website), through which users can share messages about products with each other. Anal…

cs.CY2020★ 27 cited

Understanding Electricity-Theft Behavior via Multi-Source Data

Wenjie Hu, Yang Yang, Jianbo Wang +2

Electricity theft, the behavior that involves users conducting illegal operations on electrical meters to avoid individual electricity bills, is a common phenomenon in the developi…

cs.LG2019★ 75 cited

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets

Ziqiang Cheng, Yang Yang, Wei Wang +3

Time series modeling has attracted extensive research efforts; however, achieving both reliable efficiency and interpretability from a unified model still remains a challenging pro…

cs.LG2019★ 2 cited

Time-Series Event Prediction with Evolutionary State Graph

Wenjie Hu, Yang Yang, Ziqiang Cheng +2

The accurate and interpretable prediction of future events in time-series data often requires the capturing of representative patterns (or referred to as states) underpinning the o…

cs.LG2019

Capturing Evolution Genes for Time Series Data

Wenjie Hu, Jianping Huang, Liang Wu +5

The modeling of time series is becoming increasingly critical in a wide variety of applications. Overall, data evolves by following different patterns, which are generally caused b…