Time series anomaly detection using recessive subsequence. - Yonchanok Khaokaew; Sirikarn Pukkawanna (ICOIN, 2012)

CoSEM: Contextual and Semantic Embedding for App Usage Prediction. - Yonchanok Khaokaew; Mohammad Saiedur Rahaman; Ryen W. White; Flora D. Salim (CIKM, 2021)

Imagining future digital assistants at work: A study of task management needs. - Yonchanok Khaokaew; Indigo Holcombe-James; Mohammad Saiedur Rahaman; Jonathan Liono; Johanne R. Trippas; Damiano Spina; Peter Bailey; Nicholas J. Belkin; Paul N. Bennett; Yongli Ren; Mark Sanderson; Falk Scholer; et al. (Int. J. Hum. Comput. Stud., 2022)

Understanding Mobile Information Needs and Behaviours. - Yonchanok Khaokaew; Flora D. Salim; Hao Xue 001 (UbiComp/ISWC Adjunct, 2023)

ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality. - Yonchanok Khaokaew; Thuc Hanh Nguyen; Kaixin Ji; Hiruni Kegalle; Marwah Alaofi (CoRR, 2023)

WorkR: Occupation Inference for Intelligent Task Assistance. - Yonchanok Khaokaew; Hao Xue 001; Mohammad Saiedur Rahaman; Flora D. Salim (ISWC, 2024)

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. - Francis Zac dela Cruz; Flora D. Salim; Yonchanok Khaokaew; Jeffrey Chan (RecSys, 2024)

Understanding Mobile Information Needs and Behaviours. - Yonchanok Khaokaew (2024)

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings. - Yonchanok Khaokaew; Hao Xue 001; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition. - Baiyu Chen; Wilson Wongso; Zechen Li; Yonchanok Khaokaew; Hao Xue 001; Flora D. Salim (CoRR, 2025)

Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare. - Yonchanok Khaokaew; Flora D. Salim; Andreas Züfle; Hao Xue 001; Taylor Anderson 001; C. Raina MacIntyre; Matthew Scotch; David J. Heslop (CoRR, 2025)