International Conference on Pattern Recognition and Machine Learning on July 10-13, 2026 in Ürümqi, China - Conference Index

International Conference on Pattern Recognition and Machine Learning on July 10-13, 2026 in Ürümqi, China

International Conference on Pattern Recognition and Machine Learning July 10, 2026 - Ürümqi, China

Paper Publication:

1. PRML 2026 Conference Proceedings, indexed by Ei Compendex and Scopus.

2. Journal of Advances in Information Technology (ISSN: 1798-2340; Impact Factor 2022: 1.0, CiteScore: 3.1): indexed by ESCI (Web of Science), Scopus, EBSCO, Google Scholar, CNKI, Crossref, etc.


Previous Editions:

PRML 2021-ISBN: 978-1-6654-4382-1, IEEE Xplore, Ei Compendex and Scopus indexed.

PRML 2022-ISBN: 978-1-6654-9950-7, IEEE Xplore, Ei Compendex and Scopus indexed; Selected papers published in the Special Issue of Entropy (ISSN 1099-4300): indexed by Scopus, SCIE.

PRML 2023-ISBN: 979-8-3503-2430-3, IEEE Xplore, Ei Compendex and Scopus indexed.

PRML 2024-ISBN: 979-8-3503-5591-8, IEEE Xplore, Ei Compendex and Scopus indexed; selected papers published in JAIT (ISSN: 1798-2340), ESCI (Web of Science) and Scopus indexed (in press).

PRML 2025-ISBN: 979-8-3503-9257-9, in press


Awards:

1. Best presentation award

2. Best paper award: 1000CNY bonus

3. Best student paper award: 1000CNY bonus


Conference Participate Methods:

1. Authors: Submit a full paper (for publication and presentation) or an abstract (for presentation only) at http://confsys.iconf.org/submission/prml2026.

2. Listeners: Register at http://confsys.iconf.org/register/prml2026

3. Invited Speakers: welcome to apply by sending your English CV to [email protected].


Academic visit of PRML 2026 (The specific itinerary will be planned according to the final conference schedule):

1. Renowned universities and institutions

2. Famous landmarks in Urumqi


Submission and Contact Methods:

Submission Methods: http://confsys.iconf.org/submission/prml2026

E-mail: [email protected]

Wechat: CBEES-BBS

Conference Secretary: Ms. Ruby He


Topics:

Track 1: Computer Vision and Recognition: Image and Video Classification; Object Detection and Tracking; Semantic Segmentation; Content-based Image Retrieval; Facial Recognition; 3D Reconstructions; Action Recognition

Track 2: Deep Learning and Optimization: Neural Generative Models, Autoencoders, GANs; Optimization and Learning Methods; Representation Learning and Deep Learning; Scene Analysis and Understanding; Transfer Learning, Low-Shot, Semi- and Unsupervised Learning; Motion and Tracking

Track 3: Artificial Intelligence (AI) in Biomedical Applications: AI in Biomedical Signal and Image Processing; Bioinformatics for Healthcare Engineering; Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision; Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI; Applying Machine Learning-empowered Sensing to Biomedical Scenarios; Distributed Computing for Big Data in Smart Healthcare using AI; AI-enabled Remote Patient Monitoring using Big Data

Track 4: Vision Applications and Systems: Segmentation, Grouping, and Shape; Vision + Language, Vision + Other Modalities; Video Analysis and Understanding; Vision Applications and Systems; Vision for Robotics and Autonomous Vehicles; Visual Reasoning and Logical Representation

Track 5: Artificial Intelligence (AI) for Data Analytics: Data Clustering, Classification, and Visualisation; Explainable AI and Knowledge Discovery from Databases; Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support; Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics; Predictive Maintenance, Condition Monitoring, Manufacturing Analytics; Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.


Name: Chemical, Biological & Environmental Engineering Society
Website: http://www.cbees.org/

Related Events