EDBT 2026 Demo / reviewers in the wild / expert
Yuhong Du
dblp:217/5557
· DBLP profile ↗
9ranked-venue papers
1as first author
8since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 1 first-author · 4 since 2021Systems, architecture and hardware · 3 · 3 since 2021Computer networks · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A decision-making method based on optimal evaluation index function and aggregation direction under unknown weights
Weijia Ren, XinLong Li, Yuhong Du |
Eng. Appl. Artif. Intell. | 3 |
| 2025 | Intelligent decision making algorithm for path planning based on reference Linguistic Fuzzy set
Lian Gan, Yuhong Du, Weijia Ren, Ziqi Rong, XinLong Li |
J. Supercomput. | 2 |
| 2025 | A multi-feature fusion supervoxel clustering segmentation method based on energy function
Yuhong Du, Leicheng Yang, Guangyu Dong |
J. Supercomput. | 2 |
| 2025 | Infrared and visible military image fusion strategies and applications based on composite decomposition and multi-fuzzy theory
Yuhong Du |
J. Supercomput. | 3 |
| 2024 | Drug-target interactions prediction via graph isomorphic network and cyclic training method
Yuhong Du, Yabing Yao, Jianxin Tang, Zhili Zhao, Zhuoyue Gou |
Expert Syst. Appl. | 1 |
| 2024 | Longitudinal tear detection method for conveyor belt based on multi-mode fusion
Yuhong Du, Changyun Miao, Di Miao, Dengjie Yang |
Wirel. Networks | 2 |
| 2023 | Development of feature extraction method based on interval-valued Pythagorean fuzzy decision theory
Weijia Ren, Yuhong Du, Ronglu Sun, Yuqin Du |
Eng. Appl. Artif. Intell. | 2 |
| 2022 | A novel link prediction algorithm based on inductive matrix completion
Zhili Zhao, Zhuoyue Gou, Yuhong Du, Jun Ma 0037, Tongfeng Li, Ruisheng Zhang |
Expert Syst. Appl. | 3 |
| 2018 | The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discoveryabstractMotivation: As cancer genomics initiatives move toward comprehensive identification of genetic alterations in cancer, attention is now turning to understanding how interactions among these genes lead to the acquisition of tumor hallmarks. Emerging pharmacological and clinical data suggest a highly promising role of cancer-specific protein-protein interactions (PPIs) as druggable cancer targets. However, large-scale experimental identification of cancer-related PPIs remains challenging, and currently available resources to explore oncogenic PPI networks are limited. Results: Recently, we have developed a PPI high-throughput screening platform to detect PPIs between cancer-associated proteins in the context of cancer cells. Here, we present the OncoPPi Portal, an interactive web resource that allows investigators to access, manipulate and interpret a high-quality cancer-focused network of PPIs experimentally detected in cancer cell lines. To facilitate prioritization of PPIs for further biological studies, this resource combines network connectivity analysis, mutual exclusivity analysis of genomic alterations, cellular co-localization of interacting proteins and domain-domain interactions. Estimates of PPI essentiality allow users to evaluate the functional impact of PPI disruption on cancer cell proliferation. Furthermore, connecting the OncoPPi network with the approved drugs and compounds in clinical trials enables discovery of new tumor dependencies to inform strategies to interrogate undruggable targets like tumor suppressors. The OncoPPi Portal serves as a resource for the cancer research community to facilitate discovery of cancer targets and therapeutic development. Availability and implementation: The OncoPPi Portal is available at http://oncoppi.emory.edu. Contact: [email protected] or [email protected]. Andrei A. Ivanov, Brian Revennaugh, Lauren Rusnak, Valentina Gonzalez-Pecchi, Xiulei Mo, Margaret A. Johns, Yuhong Du, Lee A. D. Cooper, Carlos Sanchez Moreno, Fadlo R. Khuri, Haian Fu |
Bioinform. | 7 |