Quanling Zhao

According to our database, Quanling Zhao authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An unlabelled data-driven sparse coding fusion framework for tumor classification.

Xiaohui Yang, Quanling Zhao, Wenming Wu, Limin Su

Pattern Recognit., 2026

2025

Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs.

Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method.

Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin, Xiaofan Yu, Tajana Rosing

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing.

Run Wang, Shirley Bian, Xiaofan Yu, Quanling Zhao, Le Zhang, Tajana Rosing

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing.

Quanling Zhao, Xiaofan Yu, Shengfan Hu, Tajana Rosing

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing.

Quanling Zhao, Xiaofan Yu, Tajana Rosing

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks.

Xiaofan Yu, Lucy Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022

ns3-fl: Simulating Federated Learning with ns-3.

Emily Ekaireb, Xiaofan Yu, Kazim Ergun, Quanling Zhao, Kai Lee, Muhammad Huzaifa, Tajana Rosing

Proceedings of the WNS3 2022: 2022 Workshop on ns-3, Virtual Event, USA, June 22, 2022

FedHD: federated learning with hyperdimensional computing.

Quanling Zhao, Kai Lee, Jeffrey Liu, Muhammad Huzaifa, Xiaofan Yu, Tajana Rosing

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022