A Minimum-Cost Flow Model for Workload Optimization on Cloud Infrastructure. - Frederick Nwanganga; Mandana Saebi; Gregory R. Madey; Nitesh V. Chawla (CLOUD, 2017)

Detecting Anomalies in Sequential Data with Higher-order Networks. - Jian Xu 019; Mandana Saebi; Bruno Ribeiro 001; Lance M. Kaplan; Nitesh V. Chawla (CoRR, 2017)

HONEM: Network Embedding Using Higher-Order Patterns in Sequential Data. - Mandana Saebi; Giovanni Luca Ciampaglia; Lance M. Kaplan; Nitesh V. Chawla (CoRR, 2019)

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. - Chuxu Zhang; Lu Yu 006; Mandana Saebi; Meng Jiang 001; Nitesh V. Chawla (EMNLP (Findings), 2020)

HONEM: Learning Embedding for Higher Order Networks. - Mandana Saebi; Giovanni Luca Ciampaglia; Lance M. Kaplan; Nitesh V. Chawla (Big Data, 2020)

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. - Mandana Saebi; Steven J. Krieg; Chuxu Zhang; Meng Jiang 001; Nitesh V. Chawla (CoRR, 2020)

Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. - Mandana Saebi; Jian Xu 019; Lance M. Kaplan; Bruno Ribeiro 001; Nitesh V. Chawla (EPJ Data Sci., 2020)

A Discriminative Entity-Aware Language Model for Virtual Assistants. - Mandana Saebi; Ernest Pusateri; Aaksha Meghawat; Christophe Van Gysel (Interspeech, 2021)

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. - Mandana Saebi; Steven Kreig; Chuxu Zhang; Meng Jiang 001; Tomasz Kajdanowicz; Nitesh V. Chawla (Inf. Fusion, 2022)

Apple Intelligence Foundation Language Models: Tech Report 2025. - Hanzhi Zhou; Erik Hornberger; Pengsheng Guo; Xiyou Zhou; Saiwen Wang; Xin Wang; Yifei He; Xuankai Chang; Rene Rauch; Louis D'hauwe; John Peebles; Alec Doane; et al. (CoRR, 2025)