FedHD: federated learning with hyperdimensional computing. - Quanling Zhao; Kai Lee; Jeffrey Liu; Muhammad Huzaifa; Xiaofan Yu 001; Tajana Rosing (MobiCom, 2022)

ns3-fl: Simulating Federated Learning with ns-3. - Emily Ekaireb; Xiaofan Yu 001; Kazim Ergun; Quanling Zhao; Kai Lee; Muhammad Huzaifa; Tajana Rosing (WNS3, 2022)

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. - Xiaofan Yu 001; Lucy Cherkasova; Harsh Vardhan; Quanling Zhao; Emily Ekaireb; Xiyuan Zhang 001; Arya Mazumdar; Tajana Rosing (IoTDI, 2023)

Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing. - Quanling Zhao; Xiaofan Yu 001; Tajana Rosing (IPSN, 2023)

MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing. - Quanling Zhao; Xiaofan Yu 001; Shengfan Hu; Tajana Rosing (DATE, 2024)

Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing. - Run Wang 003; Shirley Bian; Xiaofan Yu 001; Quanling Zhao; Le Zhang; Tajana Rosing (SenSys, 2024)

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method. - Quanling Zhao; Anthony Hitchcock Thomas; Ari Brin; Xiaofan Yu 001; Tajana Rosing (AAAI, 2025)

Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. - Le Zhang; Quanling Zhao; Run Wang 003; Shirley Bian; Onat Güngör; Flavio Ponzina; Tajana Rosing (SenSys, 2025)

An unlabelled data-driven sparse coding fusion framework for tumor classification. - Xiaohui Yang; Quanling Zhao; Wenming Wu; Limin Su (Pattern Recognit., 2026)