activity
20232025
most citedScalable Transformer for High Dimensional Multivariate Time Series Forecasting

18 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

MoTime: A Dataset Suite for Multimodal Time Series Forecasting

Xin Zhou, Weiqing Wang, Francisco J. Baldán +2

While multimodal data sources are increasingly available from real-world forecasting, most existing research remains on unimodal time series. In this work, we present MoTime, a sui…

cs.AI2025

Unveiling the Potential of Text in High-Dimensional Time Series Forecasting

Xin Zhou, Weiqing Wang, Shilin Qu +2

Time series forecasting has traditionally focused on univariate and multivariate numerical data, often overlooking the benefits of incorporating multimodal information, particularl…

cs.CL2024

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues

Shilin Qu, Weiqing Wang, Xin Zhou +6

Sociocultural norms serve as guiding principles for personal conduct in social interactions, emphasizing respect, cooperation, and appropriate behavior, which is able to benefit ta…

cs.LG2024★ 18 cited

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting

Xin Zhou, Weiqing Wang, Wray Buntine +4

Deep models for Multivariate Time Series (MTS) forecasting have recently demonstrated significant success. Channel-dependent models capture complex dependencies that channel-indepe…

cs.LG2024

OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation

Weicong Tan, Weiqing Wang, Xin Zhou +3

Most existing medication recommendation models learn representations for medical concepts based on electronic health records (EHRs) and make recommendations with learnt representat…

cs.LG2023

Hypergraph Node Representation Learning with One-Stage Message Passing

Shilin Qu, Weiqing Wang, Yuan-Fang Li +2

Hypergraphs as an expressive and general structure have attracted considerable attention from various research domains. Most existing hypergraph node representation learning techni…