6 citations · 7 across the 5 of their papers we have counts for
6 papers
AdaLens: Interactive Storyline for Monitoring and Steering Long-Running Agentic Data Analysis
Yangtian Liu, Yan Miao, Shuhan Liu +4
Large language models are pushing data science toward increasingly autonomous and agentic workflows, with recent systems already supporting multi-step and long-running analyses. As…
POEM: Phase-Aware Feature Rotation for Time Series Forecasting Under Periodicity Drift
Jiawen Zhu, Shuhan Liu, Shengxuan Li +2
Deep learning has advanced time series forecasting, but periodicity drift, in which cycle timing and phase vary over time, remains a challenging problem. Existing methods predomina…
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
Jiawen Zhu, Shuhan Liu, Di Weng +1
Non-stationary time series forecasting is challenged by evolving distribution shifts that static models struggle to capture. While Mixture-of-Experts (MoE) architectures offer a pr…
RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems
Shuhan Liu, Yunfan Zhou, Lu Ying +9
Finding the root causes of anomalies in cloud computing systems quickly is crucial to ensure availability and efficiency since accurate root causes can guide engineers to take appr…
Relation-driven Query of Multiple Time Series
Shuhan Liu, Yuan Tian, Zikun Deng +4
Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect…
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
Tan Tang, Renzhong Li, Xinke Wu +7
Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizatio…