Qun Niu is an Associate Professor at School of Artificial Intelligence, Sun Yat-sen University. His research interests include mobile computing, ubiquitous computing and indoor localization.

He received his PhD degree from School of Data and Computer Science, Sun Yat-sen University in 2019.

[1] Qun Niu, Kunxin Zhu, Suining He, Shaoqi Cen, S.-H. Gary Chan, Ning Liu*. VILL: Toward Efficient and Automatic Visual Landmark Labeling. ACM Transactions on Sensor Networks, Association for Computing Machinery (ACM), 2023, Vol. 19, No. 4, PP. 1-25, April 2023

[2] Ning Liu, Tao He, Suining He, Qun Niu*. Indoor Localization With Adaptive Signal Sequence Representations. IEEE Transactions on Vehicular Technology, 2021, Vol. 70, No. 11, PP. 11678-11694, Sep. 2021

[3] Qun Niu, Tao He, Ning Liu, Suining He, Xiaonan Luo*, Fan Zhou. MAIL: Multi-Scale Attention-Guided Indoor Localization Using Geomagnetic Sequences.  Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 4, No. 2, PP. 54:1-54:23, June 2020

[4] Qun Niu, Ning Liu*, Jianjun Huang, Yangze Luo, Suining He, Tao He, S.-H. Gary Chan, Xiaonan Luo. DeepNavi: A Deep Signal-Fusion Framework for Accurate and Applicable Indoor Navigation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 3, No. 3, PP. 99:1-99:24, Sep. 2019 

[5] Qun Niu, Mingkuan Li, Suining He, Chengying Gao*, S. -H. Gary Chan, Xiaonan Luo. Resource-Efficient and Automated Image-Based Indoor Localization. ACM Transactions on Sensor Networks (TOSN), Vol. 15, No. 2, PP. 19:1-19:31, Feb. 2019