People团队培养
A research group that trains AI students through publications, systems, challenges, and real-world deployment.在论文、系统、竞赛与产业场景中培养有温度的 AI 研究者。
A Lab for AI Researchers Who Build With Human Context培养能把研究带进真实场景的 AI 人才
MAC-Lab, the Multimedia Affective Computing Lab led by Professor Xiao Sun, trains students to move fluently between algorithmic research, deployable engineering, human-centered evaluation, and public communication. The lab now extends its multimodal affective computing foundation toward ubiquitous psychological computing and embodied emotional intelligence.MAC-Lab 全称 Multimedia Affective Computing Lab，即多模态情感计算实验室。今天，实验室在这一基础上进一步延伸到普适心理计算与具身情感智能。我们希望学生既懂算法，也懂人；既能做出高水平论文，也能把系统带到真实场景中验证。
The lab's intellectual roots connect Dalian University of Technology's NLP tradition and Tokushima University's affective computing lineage. Professor Sun's doctoral training under Professor Huang Degen, CAS Academician Gao Qingshi, and Professor Fuji Ren gives MAC-Lab a stable academic route rather than a short-term trend portfolio.实验室的学术底色连接大连理工大学自然语言处理传统与日本德岛大学情感计算脉络。孙晓教授曾在大连理工师从黄德根教授和中国科学院院士高庆狮先生，在日本国立德岛大学师从日本工程院院士任福继教授，这使 MAC-Lab 形成了有清晰传承和持续深化的学术路线。
The group works across national research programs, digital health, healthy living, smart mobility, psychological services, and human factors. Students are encouraged to develop a compound profile: academic depth, engineering capability, product awareness, interdisciplinary literacy, and the courage to explain science to society.团队长期面向国家级科研项目、数字健康、健康人居、智能心理服务和人因工程等方向开展研究与系统研发，鼓励学生形成“学术深度 + 工程能力 + 公共表达”的综合竞争力。
Publish serious research做扎实的研究
Students work on NLP, multimodal affective computing, emotional dialogue, mental-state modeling, and ubiquitous psychological computing, aiming for high-quality international venues and meaningful long-term research questions.围绕自然语言处理、多模态情感计算、情感对话、心理状态建模与普适心理计算，面向高水平论文和长期科学问题开展研究。
Build deployable systems做能落地的系统
Research is connected to platforms such as intelligent psychological monitoring, mind-body assessment devices, smart cockpits, digital humans, and intervention systems for education and health scenarios.研究成果与智能心理监护、身心评测一体机、智能座舱、数字人和教育健康场景中的干预系统相连接。
Communicate responsibly做可信的表达
We encourage students to explain AI beyond the lab: to collaborators, clinicians, teachers, parents, students, industry partners, and the public. Good science should be precise, but it should also be understandable.团队鼓励学生面向合作伙伴、医生、教师、家长、产业伙伴和公众解释 AI，让前沿技术既严谨也可被理解。
For Undergraduates: Competition, Research, and Platform Training面向本科生：竞赛、科研与平台化训练
Undergraduate students often care about a very practical question: what can I actually do after joining? MAC-Lab provides a pathway from course projects and coding practice to innovation competitions, research papers, patents, and deployable AI systems.本科生最关心的是：加入之后到底能做什么？MAC-Lab 提供从课程项目、算法实践，到创新竞赛、科研论文、专利软著和真实系统平台的完整成长路径。
Compete on real AI problems带学生打高水平竞赛
Students have been guided in the China International College Students' Innovation Competition, National IoT Design Contest, Computer Design Contest, Robotics and AI competitions, digital media innovation contests, e-commerce innovation challenges, and national AI application competitions.指导学生参加中国国际大学生创新大赛、全国大学生物联网设计竞赛、中国大学生计算机设计大赛、机器人及人工智能大赛、数字媒体科技作品竞赛、电子商务“三创赛”和通用人工智能创新应用大赛等。
Turn projects into research output把项目做成科研成果
Competition projects are encouraged to grow into papers, patents, software copyrights, datasets, prototypes, and long-term research questions.实验室鼓励把竞赛项目继续打磨成论文、专利、软著、数据集、原型系统和长期研究问题，让一次比赛成为长期成长的入口。
Build on mature lab platforms依托成熟平台做事
Students work on existing foundations such as affective NLP systems, multimodal emotion recognition, psychological assessment devices, smart cockpits, mind-body intervention systems, and embodied emotional interaction platforms.学生可以依托情感 NLP、多模态情绪识别、心理测评一体机、智能座舱、心身干预系统和具身情感交互平台等已有基础继续深化。
Grow inside a stable research line在稳定方向中成长
The lab has long followed NLP, human-computer interaction, and multimedia affective computing, extending these directions into ubiquitous psychological computing and embodied emotional intelligence through sustained accumulation.实验室长期坚持自然语言处理、人机交互和多模态情感计算，并在此基础上延伸到普适心理计算与具身情感智能，强调持续积累和主线深化。
Selected Student Competition Outcomes指导学生代表性竞赛成果
We do not treat competitions as isolated trophies. Strong projects are selected, refined, and connected to papers, patents, prototypes, and long-term research platforms.我们不会把竞赛只当成奖项展示，而是把有潜力的项目继续沉淀为论文、专利、原型系统和长期研究平台。下面仅列代表性成果，避免把页面做成完整履历清单。
China International College Students' Innovation Competition中国国际大学生创新大赛
Representative national awards include a national silver prize for ubiquitous psychological detection and analysis in real-world scenarios, national bronze prizes for affective AI and smart-home innovation, and provincial gold/silver projects around micro-expression analysis, mental-health protection, and AI-enabled civil-military applications.指导项目获得“普适场景中的智能心理检测与分析解决方案”国赛银奖，“灵心智能·情感智脑”“融合 AI 技术的智能家居应用创新”等国赛铜奖，以及微表情智能分析、飞行员心理健康守护、AI 赋能军民融合创新应用等省赛金奖/银奖。
National IoT Design Contest全国大学生物联网设计竞赛
Students won the national final first prize and provincial first prize in the Huawei Cup National Undergraduate IoT Design Contest, showing the lab's ability to turn affective and interactive AI ideas into robust hardware-software systems.指导学生在“华为杯”全国大学生物联网设计竞赛中获得全国总决赛一等奖、省赛一等奖，体现了团队把情感智能与交互 AI 做成软硬件系统的能力。
Computer Design and Digital Media计算机设计与数字媒体
Representative outcomes include a national first prize in the National Digital Media Technology and Creative Works Competition and national/provincial awards in the China University Computer Design Contest and national computing-skill challenges.指导学生获得全国大学生数字媒体科技作品及创意竞赛全国总决赛一等奖，并在中国大学生计算机设计大赛、全国高校计算机能力挑战赛等赛事中获得国家级和省级奖项。
Robotics, AI, and Human-Centered Systems机器人、人工智能与人本系统
Student projects have been recognized in robotics entrepreneurship, robotics and AI, smart transportation, and AI application competitions, with topics ranging from attention-supervised robots to intelligent mental-state assessment.指导学生在全国大学生机器人大赛创业赛、机器人及人工智能、交通运输科技、通用人工智能创新应用等赛事中获奖，选题覆盖注意力监督机器人、智能交通、人机交互和心理状态智能评估。
Innovation, Entrepreneurship, and Technology Transfer创新创业与成果转化
Projects have reached national and provincial stages in the Three Innovations and Entrepreneurship Competition and Internet+ style entrepreneurship tracks, helping students learn market framing, product definition, and technology communication.指导学生在电子商务“三创赛”和“互联网+”类创新创业赛道中获得省赛特等奖、国赛二等奖等成果，让学生训练技术表达、商业场景定义和产品化思维。
From Competition to Publication and Platform从竞赛走向论文与平台
The most valuable outcomes are students who learn to keep improving a problem after the contest: publish stronger work, build reusable systems, and join national-project-level research.更有价值的是让学生学会把竞赛项目继续深化：形成更好的论文、可复用的平台系统，并进入国家级项目支撑的科研训练链条。
Student Community学生与团队成员
This roster presents MAC-Lab's student community, including current students, alumni, and closely connected members in the lab's training network. It is maintained as a living record of the group's research mentorship and talent-development ecosystem.本名单呈现 MAC-Lab 的学生共同体，包括在读学生、往届成员以及与实验室培养网络保持紧密联系的团队成员。名单将随团队建设持续更新，用于展示实验室的人才培养梯队、学术传承与共同成长生态。
Training Philosophy培养理念
MAC-Lab combines paper-driven research, system engineering, innovation competitions, and industrial collaboration. The lab's student training is built on a stable intellectual route: natural language processing, human-computer interaction, multimedia affective computing, ubiquitous psychological computing, and now embodied emotional intelligence. Joint graduate training and academic exchange with partner universities further broaden students' research context. We welcome students who want to deepen a direction and grow with a long-term research platform.团队注重论文研究、工程系统和创新创业竞赛协同培养。我们的学生培养建立在一条稳定的学术路线之上：自然语言处理、人机交互、多模态情感计算、普适心理计算，并进一步深化到具身情感智能。与国防科技大学等单位的研究生联合培养和高校合作交流，也让学生在更开放的学术网络中成长。我们欢迎愿意长期深耕、和平台一起成长的同学。