Search Results - "Guo, Fangda"

Fast Single Image Super-Resolution via Self-Example Learning and Sparse Representation by Zhu, Zhiliang, Guo, Fangda, Yu, Hai, Chen, Chen

“…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…”
Get full text

Design and Applied Research of Mobile Lymph Nodes Sorting and Analysis System for Gastric Cancer by Guo, Fangda

“…Timely acquisition of comprehensive and accurate lymph node information from surgically resected specimens of gastric cancer is an important indicator for…”
Get more information

Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework by Zhao, Yan, Chen, Xuanlei, Ye, Guanyu, Guo, Fangda, Zheng, Kai, Zhou, Xiaofang

“…Recent years have witnessed a revolution in Spatial Crowdsourcing (SC), in which people with mobile connectivity can perform spatio-temporal tasks that involve…”
Get full text

Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification by Chen Chen, Libing Zhou, Jianzhong Guo, Wei Li, Hongjun Su, Fangda Guo

“…Remote sensing land-use scene classification has a wide range of applications including forestry, urban-growth analysis, and weather forecasting. This paper…”
Get full text

Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria by Guo, Fangda, Yuan, Ye, Wang, Guoren, Chen, Lei, Lian, Xiang, Wang, Zimeng

“…The group nearest neighbor (GNN) search on a road network <inline-formula><tex-math notation="LaTeX">G_r</tex-math>…”
Get full text

A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications by Su, Jie, Sun, Peng, Jiang, Yuting, Wen, Zhenyu, Guo, Fangda, Wu, Yiming, Hong, Zhen, Duan, Haoran, Huang, Yawen, Ranjan, Rajiv, Zheng, Yefeng

“…The rapid growth of the Internet of Things (IoT) has led to the widespread adoption of the IoT networks in numerous digital applications. To counter physical…”
Get full text

Using reliability risk analysis to prioritize test cases by Wang, Ying, Zhu, Zhiliang, Yang, Bo, Guo, Fangda, Yu, Hai

“…•A class-level directed network model based on information flow is introduced.•An evaluation scheme to quantify the risk indexes of classes is proposed.•TCP…”
Get full text

Multi-attributed Community Search in Road-social Networks by Guo, Fangda, Yuan, Ye, Wang, Guoren, Zhao, Xiangguo, Sun, Hao

“…Given a location-based social network, how to find the communities that are highly relevant to query users and have top overall scores in multiple attributes…”
Get full text

Improving the multimodal probabilistic semantic model by ELM classifiers by Zhang, Yu, Yuan, Ye, Guo, Fangda, Wang, Yishu, Wang, Guoren

“…•We propose the multimodal probabilistic semantic model.•We propose the theory of multimodal verification among textual and image modalities.•We use the binary…”
Get full text

Cohesive Group Nearest Neighbor Queries Over Road-Social Networks by Guo, Fangda, Yuan, Ye, Wang, Guoren, Chen, Lei, Lian, Xiang, Wang, Zimeng

“…The group nearest neighbor (GNN) search on a road network Gr, i.e., finding the spatial objects as activity assembly points with the smallest sum of distances…”
Get full text

Robust Temperature Control for Water-Cooled PEM Fuel Cells by Guo, Fangda, Chen, Jian, Sharma, Harsh Mohan

“…The thermal management of proton exchange membrane fuel cells is of great importance during the actual operation of the fuel cell. This study aims at the…”
Get full text

Learning Evolving Tools for Large Language Models by Chen, Guoxin, Zhang, Zhong, Cong, Xin, Guo, Fangda, Wu, Yesai, Lin, Yankai, Feng, Wenzheng, Wang, Yasheng

“…Tool learning enables large language models (LLMs) to interact with external tools and APIs, greatly expanding the application scope of LLMs. However, due to…”
Get full text

FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks by Chen, Guoxin, Guo, Fangda, Wang, Yongqing, Liu, Yanghao, Yu, Peiying, Shen, Huawei, Cheng, Xueqi

“…Community search is a personalized community discovery problem designed to identify densely connected subgraphs containing the query node. Recently, community…”
Get full text

Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering by Yao, Di, Wang, Jin, Chen, Wenjie, Guo, Fangda, Han, Peng, Bi, Jingping

“…Trajectory clustering is an essential task in spatial data mining. To address this problem, many previous studies either extended traditional clustering…”
Get full text

SecMdp: Towards Privacy-Preserving Multimodal Deep Learning in End-Edge-Cloud by Bai, Zhao, Wang, Mingyue, Guo, Fangda, Guo, Yu, Cai, Chengjun, Bie, Rongfang, Jia, Xiaohua

“…Multimodal deep learning technologies have advanced significantly, which brings extensive applications in diverse fields. The substantial computational demands…”
Get full text

SACH: Significant-Attributed Community Search in Heterogeneous Information Networks by Liu, Yanghao, Guo, Fangda, Xu, Bingbing, Bao, Peng, Shen, Huawei, Cheng, Xueqi

“…Community search is a personalized community discovery problem aimed at finding densely-connected subgraphs containing the query vertex. In particular, the…”
Get full text

Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization by Wang, Haodi, Jiang, Tangyu, Guo, Yu, Guo, Fangda, Bie, Rongfang, Jia, Xiaohua

“…Federated learning has emerged as a promising paradigm for large-scale collaborative training tasks, harnessing diverse local datasets from different clients…”
Get full text

Graph Domain Adaptation: Challenges, Progress and Prospects by Shi, Boshen, Wang, Yongqing, Guo, Fangda, Xu, Bingbing, Shen, Huawei, Cheng, Xueqi

“…As graph representation learning often suffers from label scarcity problems in real-world applications, researchers have proposed graph domain adaptation (GDA)…”
Get full text

ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs by Guo, Fangda, Luo, Xuanpu, Liu, Yanghao, Chen, Guoxin, Wang, Yongqing, Shen, Huawei, Cheng, Xueqi

“…Due to the ability of modeling relationships between two different types of entities, bipartite graphs are naturally employed in many real-world applications…”
Get full text

Causality and Independence Enhancement for Biased Node Classification by Chen, Guoxin, Wang, Yongqing, Guo, Fangda, Guo, Qinglang, Shao, Jiangli, Shen, Huawei, Cheng, Xueqi

“…Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data…”
Get full text