MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation. - Sitan Yang; Carson Eisenach; Dhruv Madeka (CoRR, 2022)

GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting. - Sitan Yang; Malcolm Wolff; Shankar Ramasubramanian; Vincent Quenneville-Bélair; Ronak Metha; Michael W. Mahoney (CoRR, 2023)

Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced Meta-Learning. - Zexing Xu; Linjun Zhang; Sitan Yang; Nan Jiang (WACV (Workshops), 2024)

F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. - Zexing Xu; Linjun Zhang; Sitan Yang; S. Rasoul Etesami 001; Hanghang Tong; Huan Zhang 001; Jiawei Han 001 (CoRR, 2024)

♠ SPADE ♠ Split Peak Attention DEcomposition. - Malcolm Wolff; Kin G. Olivares; Boris N. Oreshkin; Sunny Ruan; Sitan Yang; Abhinav Katoch; Shankar Ramasubramanian; Youxin Zhang; Michael W. Mahoney; Dmitry Efimov; Vincent Quenneville-Bélair (CoRR, 2024)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. - Zhiyuan Zhao 002; Sitan Yang; Kin G. Olivares; Boris N. Oreshkin; Stan Vitebsky; Michael W. Mahoney; B. Aditya Prakash; Dmitry Efimov (CoRR, 2025)

SPADE-S: A Sparsity-Robust Foundational Forecaster. - Malcolm Wolff; Matthew Li; Ravi Kiran Selvam; Hanjing Zhu; Kin G. Olivares; Ruijun Ma; Abhinav Katoch; Shankar Ramasubramanian; Mengfei Cao; Roberto Bandarra; Rahul Gopalsamy; Stefania La Vattiata; et al. (CoRR, 2025)