Yongxing Chen

VLDB 2026 Research / reviewers in the wild / expert

dblp:52/1356 · DBLP profile ↗

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4ranked-venue papers

0as first author

2since 2021 · last 2026

—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing 2 papers		Bioinformatics and computational biology · 100%
Computer graphics and multimedia 1 paper		Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing 1 paper		Interaction techniques and input · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Bioinformatics and computational biology › protein analysis › protein bioinformatics protein annotation	0.7	1	2023	Annotation of biologically relevant ligands in UniProtKB using ChEBI · Bioinform. 2023
Visualization and visual analytics › information visualization › eye tracking visualization gaze visualization	0.4	1	2019	Head Pointer or Eye Gaze: Which Helps More in MR Remote Collaboration? · VR 2019
Bioinformatics and computational biology identifier mapping	0.1	1	2011	A comprehensive protein-centric ID mapping service for molecular data integration · Bioinform. 2011
Interaction techniques and input › input modality eye gaze	0.1	1	2019	Head Pointer or Eye Gaze: Which Helps More in MR Remote Collaboration? · VR 2019
Bioinformatics and computational biology › data integration database integration	0.0	1	2011	A comprehensive protein-centric ID mapping service for molecular data integration · Bioinform. 2011

Methods — techniques the papers use, named apart from their topics

user study · 0.8ontology-based annotation · 0.7SPARQL querying · 0.7web services · 0.1

Year	Publication	Venue	Position
2026	KHOI-SMOTE: An efficient oversampling technique based on k-means clustering and h-outlyingness index for imbalanced medical data Silei Xie, Mengmeng Du, Huiping An, Huijing Lv, Guofu Ji, Yongxing Chen, Yanling Yang	Neurocomputing	14
2023	Annotation of biologically relevant ligands in UniProtKB using ChEBI abstract MOTIVATION: To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts to study and predict functionally relevant interactions between protein sequences and structures and small molecule ligands. RESULTS: We structured the data model for cognate ligand binding site annotations in UniProtKB and performed a complete reannotation of all cognate ligand binding sites using stable unique identifiers from ChEBI, which we now use as the reference vocabulary for all such annotations. We developed improved search and query facilities for cognate ligands in the UniProt website, REST API and SPARQL endpoint that leverage the chemical structure data, nomenclature and classification that ChEBI provides. AVAILABILITY AND IMPLEMENTATION: Binding site annotations for cognate ligands described using ChEBI are available for UniProtKB protein sequence records in several formats (text, XML and RDF) and are freely available to query and download through the UniProt website (www.uniprot.org), REST API (www.uniprot.org/help/api), SPARQL endpoint (sparql.uniprot.org/) and FTP site (https://ftp.uniprot.org/pub/databases/uniprot/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Elisabeth Coudert, Sebastien Gehant, Edouard De Castro, Monica Pozzato, Delphine Baratin, Teresa Batista Neto, Christian J. A. Sigrist, Nicole Redaschi, Alan J. Bridge, Lucila Aimo, Ghislaine Argoud-Puy, Andrea H. Auchincloss, Kristian B. Axelsen, Parit Bansal, Marie-Claude Blatter, Jerven T. Bolleman, Emmanuel Boutet, Lionel Breuza, Blanca Cabrera Gil, Cristina Casals-Casas, Kamal Chikh Echioukh, Béatrice A. Cuche, Anne Estreicher, Maria Livia Famiglietti, Marc Feuermann, Elisabeth Gasteiger, Pascale Gaudet, Vivienne Baillie Gerritsen, Arnaud Gos, Nadine Gruaz-Gumowski, Chantal Hulo, Nevila Hyka-Nouspikel, Florence Jungo, Arnaud Kerhornou, Philippe Le Mercier, Damien Lieberherr, Patrick Masson, Anne Morgat, Venkatesh Muthukrishnan, Salvo Paesano, Ivo Pedruzzi, Sandrine Pilbout, Lucille Pourcel, Sylvain Poux, Manuela Pruess, Catherine Rivoire, Karin Sonesson, Shyamala Sundaram, Alex Bateman, Maria Jesus Martin, Sandra E. Orchard, Michele Magrane, Shadab Ahmad, Emanuele Alpi, Emily H. Bowler-Barnett, Ramona Britto, Hema Bye-A-Jee, Austra Cukura, Paul Denny 0002, Tunca Dogan, Thankgod Ebenezer, Penelope Garmiri, Leonardo Jose da Costa Gonzales, Emma Hatton-Ellis, Abdulrahman Hussein, Alexandr Ignatchenko, Giuseppe Insana, Rizwan Ishtiaq, Vishal Joshi, Dushyanth Jyothi, Swaathi Kandasamy, Antonia Lock, Aurelien Luciani, Marija Lugaric, Yvonne Lussi, Alistair MacDougall, Fábio Madeira, Mahdi Mahmoudy, Alok Mishra 0004, Katie Moulang, Andrew Nightingale, Sangya Pundir, Guoying Qi, Shriya Raj, Pedro Raposo, Daniel Rice, Rabie Saidi, Elena Speretta, James D. Stephenson, Prabhat Totoo, Edward Turner, Nidhi Tyagi, Preethi Vasudev, Kate Warner, Xavier Watkins, Rossana Zaru, Hermann Zellner, Cathy H. Wu, Cecilia N. Arighi, Leslie Arminski, Chuming Chen, Yongxing Chen, Hongzhan Huang, Kati Laiho, Peter B. McGarvey, Darren A. Natale, Karen E. Ross, C. R. Vinayaka, Qinghua Wang 0003	Bioinform.	105
2019	Head Pointer or Eye Gaze: Which Helps More in MR Remote Collaboration? abstract This paper investigates how two different unique gaze visualizations (the head pointer(HP), eye gaze(EG)) affect table-size physical tasks in Mixed Reality (MR) remote collaboration. We developed a remote collaborative MR Platform which supports sharing of the remote expert's HP and EG. The prototype was evaluated with a user study comparing two conditions: sharing HP and EG with respect to their effectiveness in the performance and quality of cooperation. There was a statistically significant difference between two conditions on the performance time, and HP is a good proxy for EG in remote collaboration. Peng Wang 0083, Shusheng Zhang, Xiaoliang Bai, Mark Billinghurst, Weiping He, Shuxia Wang, Jiaxiang Du, Yongxing Chen	VR	9
2011	A comprehensive protein-centric ID mapping service for molecular data integration abstract MOTIVATION: Identifier (ID) mapping establishes links between various biological databases and is an essential first step for molecular data integration and functional annotation. ID mapping allows diverse molecular data on genes and proteins to be combined and mapped to functional pathways and ontologies. We have developed comprehensive protein-centric ID mapping services providing mappings for 90 IDs derived from databases on genes, proteins, pathways, diseases, structures, protein families, protein interaction, literature, ontologies, etc. The services are widely used and have been regularly updated since 2006. AVAILABILITY: www.uniprot.org/mappingandproteininformation-resource.org/pirwww/search/idmapping.shtml CONTACT: [email protected]. Hongzhan Huang, Peter B. McGarvey, Baris E. Suzek, Raja Mazumder, Jian Zhang 0051, Yongxing Chen, Cathy H. Wu	Bioinform.	6