牛群，中山大学 人工智能学院-尊龙凯时官方app下载

牛群，博士，现于中山大学人工智能学院任副教授。他的研究方向为移动与泛在计算、基于智能技术的空间感知和物联网。

牛群于2019年在中山大学取得计算机科学博士学位。

[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, 19(4): 1--25

[2] ning liu, tao he, suining he, qun niu*. indoor localization with adaptive signal sequence representations. ieee transactions on vehicular technology, 2021, 70(11): 11678-11694

[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 trans. sen. netw. (tosn), vol. 15, no. 2, pp. 19:1-19:31, feb. 2019