Publications
Journals
[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. [CCF-A] [PDF]
[2] Weina Jiang, Shaoqi Cen, Lin Shi, Qun Niu, Ning Liu. Dual-Robust Radio Map Generation and Updating with Multi-scale Feature Fusion for Indoor Localization. *Expert Systems with Applications, Vol. 299, No. Part C, March 2026. [PDF]
[3] 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, Vol. 291, October 2025. [PDF]
[4] Ning Liu, Gezhi Peng, Hua-Bao Ling, Qun Niu, Tao He. Spatio–Temporal Constrained Geomagnetic Indoor Localization With Arbitrary Walking Speed. *IEEE Internet of Things Journal, Vol. 12, No. 12, PP. 21740-21756, March 2025. [PDF]
[5] Zhiwei Chen, Sisi Liu, Qun Niu*. Black-Box Backdoor Attack With Everyday Physical Object in Mobile Crowdsourcing. Expert Systems with Applications, Vol. 265, March 2025. [PDF]
[6] Weina Jiang, Lin Shi, Qun Niu, Ning Liu. Fast Radio Map Construction with Domain Disentangled Learning for Wireless Localization. *Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 7, No. 3, PP. 101:1-101:27, September 2023. [CCF-A] [PDF]
[7] Weina Jiang, Qun Niu, Suining He, Ning Liu. Adaptive radio map reconstruction via adversarial wireless fingerprint learning. *Neural Computing and Applications , Vol. 35, No. 25, 18585–18602, June 2023. [PDF]
[8] Qun Niu, Kunxin Zhu, Suining He, Shaoqi Cen, S.-H. Gary Chan, Ning Liu, VILL: Towards Efficient and Automatic Visual Landmark Labeling. *ACM Transactions on Sensor Networks (TOSN), Vol. 19, No. 4, PP. 74:1-74:25, April 2023 [CCF-B] [PDF]
[9] Tao He, Qun Niu, Ning Liu. GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 6, No. 4, PP. 165:1-165:27, Jan. 2023 [CCF-A] [PDF]
[10] Ning Liu, Tao He, Suining He, Qun Niu*. Indoor Localization with Adaptive Signal Sequence Representations. IEEE Transactions on Vehicular Technology (TVT), Vol. 70, No. 11, PP. 11678 - 11694, Nov. 2021. [PDF]
[11] 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 [CCF-A] [PDF]
[12] 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 [CCF-A] (PDF)
[13] 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 [CCF-B, IF: 2.469] [PDF]
[14] Mingkuan Li, Ning Liu*, Qun Niu, Chang Liu, S.-H. Gary Chan, Chengying Gao. SweepLoc: Automatic Video-Based Indoor Localization by Camera Sweeping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT/UbiComp), Vol. 2, No. 3, PP. 120:1-120:25, Sep. 2018 [CCF-A] [PDF]
[15] Qun Niu, Hefeng Wu, Chengying Gao*, Xiaonan Luo. Laser-Based Bidirectional Pedestrian Counting via Height Map Guided Regression and Voting. Signal, Image and Video Processing (SIViP), Vol. 11, PP. 897–904, July 2017 [SCI] [PDF]
Conferences
[1] Tao Chen, Qun Niu*, Ning Liu. NeRF-VLD: Efficient Visual Landmark Database Construction via Scene Constraints. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, pp. 1-5, 06-11 April 2025. (CCF-B) [PDF]
[2] Zhiwei Chen, Qun Niu*. Position-Independent and Stealthy Backdoor Attack of IMU Systems. 2024 IEEE Global Communication Conference, Cape Town, South Africa, pp. 3371-3376, 08-12 December 2024. (CCF-C) [PDF]
[3] Shaoqi Cen, Weina Jiang, Qun Niu, Ning Liu. FDAP: Efficient Radio Map Reconstruction Using Sparse Signals. *2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, pp. 5913-5918, 04-08 December 2023. (CCF-C) [PDF]
[4] Mengya Kou, Tao He, Qun Niu, Ning Liu. Deep Inertial Odometry Using Hierarchical Temporal Features of IMU Sequences. *2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, pp. 2808-2813, 04-08 December 2023. (CCF-C) [PDF]
[5] Hui Zhuang, Tao He, Qun Niu, Ning Liu*, Efficient Indoor Localization with Multiple Consecutive Geomagnetic Sequences. 2022 International Conference on Computer Communications and Networks (ICCCN), Honolulu, USA, pp. 1-9, 25-28 July 2022 (CCF-C) [PDF]
[6] Kunxin Zhu, Yongxin Hu, Ning Liu, Qun Niu*. Fusing Directional and Omnidirectional Wi-Fi Antennas for Accurate Indoor Localization. International Conference on Wireless Algorithms, Systems, and Applications (WASA), Nanjing, China, pp. 78-91, 25-27 June 2021 (CCF-C) [PDF]
[7] Kaishi Gao, Qun Niu, Haoquan You, Chengying Gao*. Self-Bootstrapping Pedestrian Detection in Downward-Viewing Fisheye Cameras Using Pseudo-Labeling. 2020 IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, pp. 1-6, 6-10 July, 2020 (CCF-B) [PDF]
[8] Tao He, Qun Niu, Suining He, Ning Liu*. Indoor Localization with Spatial and Temporal Representations of Signal Sequences. 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, pp. 1-7, 9-13 Dec. 2019 (CCF-C) [PDF]
[9] Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu*. ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, pp. 3220-3229, 15-20 June, 2019 (CCF-A) [PDF]
[10] Qun Niu, Ying Nie, Suining He, Ning Liu, Xiaonan Luo*. RecNet: A Convolutional Network for Efficient Radiomap Reconstruction. 2018 IEEE International Conference on Communications (ICC), Kansas City, USA, pp. 1-7, 20-24 May, 2018 (CCF-C) [PDF]
