8th Asia Conference on Machine Learning and Computing(ACMLC 2026)

☛ PUBLICATION Submitted papers will be strictly reviewed by technical committee. Accepted papers will be included into Conference Proceedings, which will be submitted for indexing by Ei Compendex and Scopus. The authors of the papers will be invited to participate in the ACMLC 2026 to display their research results. ☛ CALL FOR PAPERS Authors are invited to submit full papers describing original research work in areas including, but not limited to: TRACK 1: Large Language Model Agents Theory and Applications Multimodal LLM Agents: Vision-language-audio integrated agent systems Agent Planning and Reasoning: Task decomposition, path planning, and logical reasoning with large models Tool Use and API Integration: External tool invocation and system integration capabilities for agents Multi-Agent Collaboration: Large model-driven multi-agent coordination and cooperation mechanisms Agent Safety and Alignment: Safety assurance and value alignment for trustworthy AI agents Domain-Specific Agents: Specialized agents for vertical domains such as healthcare, finance, and education Agent Evaluation and Benchmarking: Capability assessment frameworks and standardized testing for intelligent agents Agent Memory and Learning: Long-term memory systems and continual learning for persistent agents Human-Agent Interaction: Natural language interfaces and interaction design for AI agents Agent Architecture and Infrastructure: Scalable frameworks and platforms for deploying LLM agents TRACK 2: Social Computing and Human-AI Collaboration Computational Social Science: Simulation, prediction, and modeling of social phenomena and communities Human-AI Collaboration Patterns: Workflow design for AI agent and human cooperation Social Network Dynamics: Behavioral pattern mining and analysis in large-scale social networks Collective Intelligence: Group decision-making, crowdsourcing, and distributed problem-solving systems Agent-Driven Social Modeling: Using AI agents for social behavior analysis and human preference learning Social Media and Cultural Computing: Content analysis, sentiment analysis, cross-cultural AI systems, and bias mitigation AI Ethics and Social Impact: Research on AI systems' effects on social structures, relationships, and equity Explainable and Socially-Aware AI: Interpretable AI systems that understand and adapt to social contexts Digital Governance and Policy: AI applications in public administration, policy-making, and social governance Social Robotics and Interaction: Human-robot interaction in social and collaborative contexts Digital Humanities: AI applications in humanities research and cultural heritage preservation For details about topics, please visit at http://www.acmlc.org/topics.html ☛ SUBMISSION 1. Full Paper (Publication and Presentation) 2. Abstract (Presentation Only) For full paper(.pdf), please upload to https://www.zmeeting.org/submission/ACMLC2026 For abstract, please send it to [email protected] More details about submission, please visit at http://www.acmlc.org/submission.html ☛ CONTACT Mary Zhan (Conference Secretary) Tel.: +86-186-2405-8113 (10:00AM to 5:00PM, GMT+8) E-mail: [email protected]