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MLEIL 2026: International Conference on Machine Learning, Embodied Intelligence and Large Models

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MLEIL
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투고 마감일:
2026-09-03 Extended
통보일:
2026-10-05
개최일:
2026-10-23
개최지:
Changsha, China
조회: 1174   팔로우: 0   참가: 0

회반 지수 (CP-I)

45.0 / 100
전체 5,651개 중 2,746위 · 상위 49%

인공지능·기계학습 분야 736개 중 298위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
23
공개 자료 충실도 (15%)
35

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 20명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-07

논문 모집

MLEIL 2026 (International Conference on Machine Learning, Embodied Intelligence and Large Models) is an academic conference held in Changsha, China on 2026-10-23. The paper submission deadline is 2026-09-03 (extended). Acceptance notifications are sent on 2026-10-05.

The International Conference on Machine Learning, Embodied Intelligence and Large Models (MLEIL) is dedicated to focusing on cutting-edge interdisciplinary research within the field of artificial intelligence, establishing a high-calibre academic exchange platform for researchers worldwide. Centred on machine learning theory, embodied intelligent systems, and large-scale model technologies, the conference brings together domestic and international experts to share cutting-edge research findings and innovative advancements while exploring critical scientific questions and technical challenges. Through in-depth exchanges and intellectual discourse, it propels the profound integration and innovative development of large-scale models, multimodal learning, autonomous agents, and robotic systems. This fosters collaborative innovation across industry, academia, and research, thereby accelerating breakthroughs in artificial intelligence technologies and facilitating their high-quality practical implementation. Machine Learning Architecture Design for Robotic Foundation Models Embodied Agents Theoretical Foundations of Embodied Intelligence Reinforcement Learning and Imitation Learning from Multimodal Data Continual/Lifelong Learning Embodied Intelligent Agent Perception and Motion Planning Embodied Driving Agents Multimodal Embodied Learning and Decision-making Tactile Feedback and Multisensory Fusion Interaction Embodied Interaction in Human-computer Collaboration Visual Language Action Multimodal Alignment Collaborative Interaction between Swarm Intelligence and Multi-agent Systems Cognitive Reasoning and Scene Understanding Application of Embodied Systems in Healthcare and Industry General Machine Learning Deep Learning Theory of Machine Learning Machine Learning Systems Optimisation Probabilistic Methods Reinforcement Learning Trustworthy Machine Learning Application-driven Machine Learning Health, Bioinformatics Industrial and Engineering Applications Security Applications Smart Cities and Autonomous Driving Intelligent Virtual Environments Embodied Intelligence Architecture Design for Robotic Foundation Models Embodied Agents Theoretical Foundations of Embodied Intelligence Reinforcement Learning and Imitation Learning from Multimodal Data Continual/Lifelong Learning Embodied Intelligent Agent Perception and Motion Planning Embodied Driving Agents Multimodal Embodied Learning and Decision-making Tactile Feedback and Multisensory Fusion Interaction Embodied Interaction in Human-computer Collaboration Visual Language Action Multimodal Alignment Collaborative Interaction between Swarm Intelligence and Multi-agent Systems Cognitive Reasoning and Scene Understanding Application of Embodied Systems in Healthcare and Industry Large Model Generative Large-scale Models Large-scale Models Integrating Visual and Optical Sensing Multimodal Fusion Training and Optimization of Large-scale Models Large-scale Distributed Training Hardware Acceleration and Heterogeneous Computing Visual Large-scale Models Clinical Decision Support Agents Generative Medical Imaging Industrial Autonomous Agents Driving Foundation Models Autonomous Inspection Systems Intelligent Video Surveillance Cybersecurity and Autonomous Intelligence
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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BMachine Learning2.9Springer0885-6125
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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