2027 International Conference on Pattern Analysis and Artificial Intelligence(PAAI 2027)

Welcome

Welcome to

PAAI 2027

2027 International Conference on Pattern Analysis and Artificial Intelligence

Venue

Xiamen, China

Conference Dates

April 23-25, 2027

Full Paper Submission Date

February 6, 2027

Notification of Acceptance

March 7, 2027

Final Paper Submission Date

March 24, 2027

about

About PAAI 2026

The International Conference on Pattern Analysis and Artificial Intelligence 2027 (PAAI 2027) will take place from April 23 to 25, 2027, in Xiamen, China.As a premier academic forum convening leading researchers worldwide, PAAI 2027 is committed to fostering an open, innovative, and collaborative environment for scholars, engineers, and industry professionals in pattern recognition and artificial intelligence. At a time when AI is fundamentally transforming the global technology and industrial landscape, the conference seeks to present cutting-edge research, tackle critical technical challenges, and bridge academic innovation with industrial application, with particular emphasis on the core theories and frontier applications of pattern analysis and intelligent information processing.

The conference features five major thematic tracks spanning foundational theory to applied systems: pattern recognition and machine learning, encompassing supervised and semi-supervised learning, deep learning, transfer and meta-learning, and explainable AI; computer vision and multimodal analysis, covering object detection, 3D reconstruction, vision-language models, and medical and remote sensing image understanding; speech, language, and multimodal intelligence, highlighting large language models, cross-lingual NLP, multimodal sentiment analysis, and dialogue systems; data mining and knowledge discovery, featuring spatiotemporal pattern mining, causal inference, recommender systems, and privacy preservation; and perception-driven intelligent systems, addressing embodied intelligence, autonomous navigation, digital twins, and lightweight edge AI technologies that reflect the growing convergence of AI and the physical world.

More than a platform for academic exchange, PAAI 2027 offers a vital opportunity for intellectual dialogue and industry-academia collaboration. Located on China’s southeastern coast, Xiamen boasts a vibrant innovation ecosystem and an inclusive, cosmopolitan atmosphere that makes it an ideal host for this international gathering. We warmly welcome experts and scholars from across the globe to join us in Xiamen to share insights, build partnerships, and collectively advance the frontiers of pattern analysis and artificial intelligence.

sub&Pub

Submission & Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

Please send the full paper (Word+PDF) to Submission System.

📤︎Submission System (EN)📤︎Submission System (CN)

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

CFP

The topics of interest for submission include,

But are not limited to:

📚︎Track 1: Pattern Recognition & Machine Learning

Supervised, unsupervised, and semi-supervised learning; Deep learning architectures and theory; Transfer learning and domain adaptation; Meta-learning and few-shot learning; Generative models and adversarial learning; More...

📚︎Track 2: Computer Vision & Multimodal Analysis

Image and video processing; Object detection, recognition, and tracking; Scene understanding and semantic segmentation; 3D vision and reconstruction; Motion analysis and optical flow; More...

📚︎Track 3: Speech, Language, and Multimodal Intelligence

Speech recognition and synthesis; Speaker recognition and diarization; Natural language understanding and generation; Machine translation and multilingual processing; Text classification, summarization, and question answering; More...

📚︎Track 4:Pattern Mining and Knowledge Discovery from Data

Clustering, classification, and anomaly pattern detection; Sequential and temporal pattern recognition; Spatiotemporal pattern mining and analysis; Graph structure and network pattern analysis; Causal pattern discovery and inference; More...

📚︎Track 5:Perception-driven Pattern Recognition and Intelligent Systems

Multimodal perception and sensor-based pattern recognition; Visual scene understanding and environment modeling; Human behavior, gesture, and activity pattern recognition; Intention and interaction pattern recognition in human-robot interaction; More..

contact

Alexia Zhang

(Conference Secretary)

contact (1)副本.png

E-Mail: ic_paai@163.com

If you have any questions or inquiries,

Please feel free to contact us.

code