
Fangda Guo
Zhao Bai, Mingyue Wang, Fangda Guo*, Yu Guo, Chengjun Cai, Rongfang Bie, Xiaohua Jia. "SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud" 40th IEEE International Conference on Data Engineering (ICDE 2024) , pp. 1659-1670, Utrecht, Netherlands, May 13-16.
Zhiliang Zhu, Member, IEEE, Fangda Guo , Hai Yu and Chen Chen, Student Member, IEEE Abstract—In this paper, we propose a novel algorithm for fast single image super-resolution based on self-example learning and sparse representation. We propose an efficient implementation based on the K-singular value decomposition (SVD) algorithm,
f †fangda@stu, §yuanye@, zhaoxiangguo@, †[email protected], §[email protected] Abstract—Given a location-based social network, how to find the communities that are highly relevant to query users and
Fangda Guo Northeastern Univ ersity (Shenyang, China) 6 PUBLICA 90 CITATIONS SEE PROFILE All content following this page was uploaded b y Chen Chen on 26 July 2015. The user has r equested enhancement of the do wnloaded file. …
Cohesive Group Nearest Neighbor Queries over Road-Social Networks Fangda Guo1, Ye Yuan1*, Guoren Wang2, Lei Chen3, Xiang Lian4, Zimeng Wang1 1School of Computer Science and Engineering, Northeastern University, Shenyang, China 2School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 3Department of Computer Science …
Fangda Guo, Student Member, IEEE, Ye Yuan, Guoren Wang, Member, IEEE, Lei Chen, Member, IEEE, Xiang Lian, and Zimeng Wang, Student Member, IEEE, Abstract—The group nearest neighbor (GNN) search on a road network Gr, i.e., finding the spatial objects as activity assembly points
Yu Zhang, Ye Yuan, Fangda Guo, Yishu Wang, and Guoren Wang Northeastern University Shenyang, 110819, China Abstract. The multi-modal retrieval is considered as performing infor-mation retrieval among di erent modalities of multimedia information. Nowadays, it becomes increasingly important in the information science eld.