会议信息

ICAIGC 2027: IEEE International Conference on Artificial Intelligence and Generated Content

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截稿日期:
2027-02-20 还有 118 天
通知日期:
2027-03-20
会议日期:
2027-08-14
会议地点:
Melaka, Malaysia
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全站第 3,536 名 / 共 5,759 个会议 · 前 62%

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证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-25

征稿

ICAIGC 2027 (IEEE International Conference on Artificial Intelligence and Generated Content) is an academic conference held in Melaka, Malaysia on 2027-08-14. The paper submission deadline is 2027-02-20. Acceptance notifications are sent on 2027-03-20.

We invite original, high-quality contributions advancing Artificial Intelligence and Generated Content, including but not limited to the topics below. Topics of interest include, but are not limited to: Topic 1: Foundations, Architecture, and Generative Modeling Paradigms Generative AI and Foundation Models Large Language Models (LLMs) and Alignment Diffusion, Flow and Score-based Generative Models Autoregressive and Energy-Based Generative Models Self-Supervised and Representation Learning for Generation Model Scaling Laws and Architectural Innovations Advanced Neural Network Architectures for Synthesis Model Compression, Distillation and Pruning Efficient Training and Optimization Strategies Theoretical Foundations of Generative Adversarial Networks Topic 2: Multimodal Understanding, Cross-Modal Synthesis, and Content Creation Multimodal Learning and Understanding AI-Generated Content (AIGC) Systems & Pipelines Text-to-Image / Text-to-Video / Text-to-3D Generation Cross-Modal Retrieval and Alignment Techniques Creative AI, Art and Digital Media Synthesis Audio, Speech and Music Generation Frameworks Interactive 3D Asset Generation and Rendering Immersive Virtual Reality and Game Content Generation Human-AI Co-creation and Design Workflows Cross-Modal Storytelling and Narrative Generation Topic 3: Trustworthiness, Safety, Governance, and Evaluation of Generative Models AI Safety, Security, Ethics and Governance Evaluation, Benchmarking and Hallucination Control Copyright, Provenance and Watermarking of AIGC Robustness, Adversarial Defense and Trustworthiness Data Privacy, Fairness and Bias Mitigation Fake Content Detection and Forensic Techniques Regulatory Frameworks and Policy Compliance for AIGC Explainability and Interpretability of Generative Outputs Content Moderation and Risk Management in LLMs Secure Deployment and Red Teaming Methodologies Topic 4: Interdisciplinary Applications: Science, Agents, Edge Computing, and Society AI for Science, Engineering and Discovery AI Agents and Autonomous Content Workflows Efficient & Edge Generation (distillation, quantization) Generative AI in Healthcare and Biomedical Data Intelligent Educational Technologies and Pedagogical Generation Autonomous Multi-Agent Collaboration Systems Edge-Device Deployment and Hardware Acceleration Industrial IoT and Smart City Applications of AIGC Socio-Economic Impacts and Sustainable AI Deployment Financial Modeling and Enterprise Process Automation Special Tracks To address cutting-edge research frontiers and emerging interdisciplinary directions in artificial intelligence and generated content, ICAIGC 2027 features a series of dedicated Special Tracks. These tracks are curated to foster intensive academic discussions, encourage focused technological explorations, and highlight specialized applications. We warmly invite prospective researchers and experts to lead or contribute to the following specialized tracks: 1 Multimodal Foundation Models and Cross-Modal Generation Complex creative content generation across text, image, audio, and video. 2 Trustworthy Large Language Models Alignment, factuality, and robust security governance for LLMs. 3 Generative AI for Science & Engineering Scientific discovery and advanced engineering systems powered by generative models. 4 Efficient Foundation Models on Edge Devices Training, quantization, and deployment on resource-constrained hardware. 5 AIGC in Digital Media, VR & Gaming Immersive virtual reality and interactive gaming ecosystems. 6 Copyright, Watermarking & Forensics Verifying authentic AI-generated media and protecting intellectual property. 7 AI in Education & Content Generation Intelligent educational technologies driven by large models. 8 Generative AI in Healthcare Medical imaging and biomedical data synthesis applications. 9 Autonomous Agents & Multi-Agent Systems Collaborative workflows powered by generative models. 10 Socio-Economic Impact & Policy Ethical frameworks and policy regulations for sustainable AIGC deployment.
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