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

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

[1] Ning Liu, Rui Fu, Hua-Bao Ling, Qun Niu*. GRETE: Enhancing Geomagnetic Indoor Localization with Relative Trajectory Encoding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 10, No. 1, PP. 13:1-13:29, March 2026

[2] Qun Niu, Tao Chen, Xing Zhang, Yifan Wang, Ning Liu. LLM-Loc: Bootstrap single-image indoor localization with large language model. Expert Systems with Applications, Elsevier BV, 2025, 291

[3] Zhiwei Chen, Sisi Liu, Qun Niu*. Black-Box Backdoor Attack With Everyday Physical Object in Mobile Crowdsourcing. Expert Systems with Applications, Elsevier BV, 2025, 265

[4] 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, 19(4): 1--25

[5] 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