Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. - Xin Zhou 023; Zhu Sun 001; Guibing Guo; Yuan Liu 002 (PAKDD (1), 2020)

Multi-facet user preference learning for fine-grained item recommendation. - Xin Zhou 023; Guibing Guo; Zhu Sun 001; Yuan Liu 002 (Neurocomputing, 2020)

Hypergraph Node Representation Learning with One-Stage Message Passing. - Shilin Qu; Weiqing Wang 001; Yuan-Fang Li; Xin Zhou 023; Fajie Yuan (CoRR, 2023)

Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. - Xin Zhou 023; Weiqing Wang 001; Wray L. Buntine; Shilin Qu; Abishek Sriramulu; Weicong Tan; Christoph Bergmeir (CIKM, 2024)

OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation. - Weicong Tan; Weiqing Wang 001; Xin Zhou 023; Wray L. Buntine; Gordon Bingham (CoRR, 2024)

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues. - Shilin Qu; Weiqing Wang 001; Xin Zhou 023; Haolan Zhan; Zhuang Li 001; Lizhen Qu; Linhao Luo; Yuan-Fang Li; Gholamreza Haffari (CoRR, 2024)

OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. - Weicong Tan; Weiqing Wang 001; Xin Zhou 023; Wray L. Buntine; Gordon Bingham; Hongzhi Yin (World Wide Web (WWW), 2024)

Unveiling the Potential of Text in High-Dimensional Time Series Forecasting. - Xin Zhou 023; Weiqing Wang 001; Shilin Qu; Zhiqiang Zhang; Christoph Bergmeir (CoRR, 2025)

MoTime: A Dataset Suite for Multimodal Time Series Forecasting. - Xin Zhou 023; Weiqing Wang 001; Francisco J. Baldán; Wray L. Buntine; Christoph Bergmeir (CoRR, 2025)