Chang-Dong Wang
Overview
Explore the profile of Chang-Dong Wang including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
55
Citations
217
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Cui C, Chen H, Chen M, Li J, Tong Z, Fang C, et al.
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40031836
Electroencephalography (EEG) is a vital noninvasive technique used in neuroscience research and clinical diagnosis. However, EEG data have a complex nonEuclidean structure and are often scarce, making training effective graph...
2.
Chen M, Lin J, Wang C, Huang D, Lai J
IEEE Trans Neural Netw Learn Syst
. 2025 Mar;
PP.
PMID: 40031247
Ensemble clustering aims to combine different base clusterings into a better clustering than that of the individual one. In general, a co-association matrix depicting the pairwise affinity between different data...
3.
Zheng X, Li Y, Wu Z, Tang Y, Lai P, Chen M, et al.
IEEE J Biomed Health Inform
. 2025 Mar;
PP.
PMID: 40030475
Clinical staging is crucial for treatment strategies and improving 5-year survival rates in hepatocellular carcinoma (HCC) patients. However, existing methods struggle to distinguish stages with highly similar textual features. Additionally,...
4.
Huang L, Huang X, Zou H, Gao Y, Wang C, Yu P
IEEE Trans Neural Netw Learn Syst
. 2025 Mar;
PP.
PMID: 40030341
Over the past few years, cross-domain recommendation has gained great attention to resolve the cold-start issue. Many existing cross-domain recommendation methods model a preference bridge between the source and target...
5.
Zhou Z, Huang D, Wang C
Neural Netw
. 2025 Feb;
185:107217.
PMID: 39919524
With its ability of joint representation learning and clustering via deep neural networks, the deep clustering have gained significant attention in recent years. Despite the considerable progress, most of the...
6.
Cai X, Chen M, Wang C, Zhang H
Neural Netw
. 2025 Jan;
184:107089.
PMID: 39756117
Node classification, seeking to predict the categories of unlabeled nodes, is a crucial task in graph learning. One of the most popular methods for node classification is currently Graph Neural...
7.
Li Y, Zheng X, Li J, Dai Q, Wang C, Chen M
IEEE J Biomed Health Inform
. 2024 Oct;
PP.
PMID: 39392729
Clinical staging of liver cancer (CSoLC), an important indicator for evaluating the degree of deterioration of primary liver cancer cells (PLCCs), is key in the diagnosis, treatment, and rehabilitation of...
8.
He Z, Lin J, Wang C, Guizani M
Neural Netw
. 2024 Oct;
181:106755.
PMID: 39357270
In order to alleviate the issue of data sparsity, knowledge graphs are introduced into recommender systems because they contain diverse information about items. The existing knowledge graph enhanced recommender systems...
9.
Huang L, Zou H, Huang X, Gao Y, Kuang Y, Wang C
Neural Netw
. 2024 Sep;
180:106675.
PMID: 39241435
The next basket recommendation task aims to predict the items in the user's next basket by modeling the user's basket sequence. Existing next basket recommendations focus on improving recommendation performance,...
10.
Lai P, Dai Q, Lu Y, Wang Z, Chen M, Wang C
Neural Netw
. 2024 Aug;
179:106595.
PMID: 39159535
Graph neural networks (GNNs) leveraging metapaths have garnered extensive utilization. Nevertheless, the escalating parameters and data corpus within graph pre-training models incur mounting training costs. Consequently, GNN models encounter hurdles...