<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>鲁东大学智能信息处理实验室</title><link>https://ldu-iiplab.github.io/</link><atom:link href="https://ldu-iiplab.github.io/index.xml" rel="self" type="application/rss+xml"/><description>鲁东大学智能信息处理实验室</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>zh</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://ldu-iiplab.github.io/media/icon_huba49b333ed88df7c814b65256f8aa620_829952_512x512_fill_lanczos_center_3.png</url><title>鲁东大学智能信息处理实验室</title><link>https://ldu-iiplab.github.io/</link></image><item><title>全员读博！智能信息处理实验室2026届四名硕士毕业生全部进入高水平大学攻读博士学位</title><link>https://ldu-iiplab.github.io/news/20260701/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20260701/</guid><description>&lt;p>近日，鲁东大学智能信息处理实验室2026届研究生升学工作传来喜讯：本年度毕业的4名硕士研究生全部成功进入国内高水平大学攻读博士学位，实现博士升学率100%！&lt;/p>
&lt;p>其中，王鑫龙同学进入同济大学攻读博士学位，王峻松同学进入南开大学攻读博士学位，刘承汿同学进入北京工业大学攻读博士学位，张世杰同学进入江南大学攻读博士学位。四名同学将在新的学术平台上继续深耕专业领域，开启更加广阔的科研新征程。&lt;/p>
&lt;p>四名硕士毕业生全部继续攻读博士学位，是同学们长期坚持、潜心科研、不断进取的结果，也是实验室研究生培养质量和育人成效的集中体现。在实验室学习期间，同学们围绕计算机视觉、模式识别、机器学习、食品计算等方向开展了系统深入的科研训练，在文献阅读、学术思维、科研创新、实验实践和论文写作等方面得到了全面锻炼，逐步形成了严谨求实的科研态度和独立开展研究工作的能力。&lt;/p>
&lt;p>近年来，智能信息处理实验室始终坚持以学生成长和学术发展为中心，将人才培养贯穿科研工作的全过程。实验室注重因材施教，通过定期学术研讨、科研进展汇报、论文精读、项目实践和个性化指导等方式，为研究生提供持续、系统的科研训练；同时积极支持学生参与高水平学术交流，鼓励学生面向学科前沿凝练科学问题、开展创新研究，不断提升学生的学术视野和科研能力。&lt;/p>
&lt;p>此次四名毕业生全部进入高水平大学攻读博士学位，充分展现了实验室研究生扎实的专业基础、良好的科研素养和强劲的发展潜力，也标志着实验室在拔尖创新人才培养和高层次人才输送方面取得了新的突破。这既是对四名同学多年努力的充分肯定，也是实验室人才培养体系和科研育人模式取得成效的有力证明。&lt;/p>
&lt;p>求学之路，道阻且长；心有所向，行必能至。衷心祝贺王鑫龙、王峻松、刘承汿、张世杰四名同学！希望他们在新的学术平台上继续保持勤奋严谨、勇于探索的科研精神，瞄准学术前沿，潜心钻研、追求卓越，在未来的科研道路上不断取得新的成绩。&lt;/p>
&lt;p>智能信息处理实验室也将以此为新的起点，进一步加强科研平台建设，持续优化研究生培养机制，不断提升人才培养质量，努力为更多有志于科研创新的青年学生搭建成长成才的平台，为人工智能及相关领域培养和输送更多具有创新精神、科研能力和发展潜力的高层次人才。&lt;/p></description></item><item><title>张大珂博士应邀与智能信息处理实验室研究生开展科研交流</title><link>https://ldu-iiplab.github.io/news/20260626/</link><pubDate>Fri, 26 Jun 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20260626/</guid><description>&lt;p>近日，应鲁东大学智能信息处理实验室邀请，加拿大滑铁卢大学计算机科学博士研究生张大珂来到实验室，与研究生开展专题交流。双方围绕人工智能前沿发展、科研能力培养、学术论文发表以及个人成长规划等话题进行了深入探讨。&lt;/p>
&lt;p>交流中，张大珂结合自己在武汉大学、滑铁卢大学的学习科研经历，以及在亚马逊、微软、华为诺亚方舟实验室和字节跳动等企业的研发实习经历，分享了如何发现有价值的科研问题、开展系统研究和进行严谨实验验证的经验。他还介绍了信息检索、检索增强生成（RAG）和大语言模型评估等领域的最新研究进展。&lt;/p>
&lt;p>实验室研究生结合自身研究方向，就科研选题、创新点凝练、国际学术会议投稿、RAG系统构建和AI工具辅助科研等问题积极提问。张大珂逐一进行了细致解答，并鼓励同学们主动关注人工智能前沿，充分利用开放论文、开源模型和智能工具，在持续学习和实践中不断提升科研判断力与创新能力。此次交流为实验室研究生开展科研工作和规划学术发展提供了有益启发。&lt;/p>
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&lt;p>张大珂，现为加拿大滑铁卢大学（University of Waterloo）计算机科学博士研究生，本科毕业于武汉大学。其研究方向聚焦于信息检索、检索增强生成（RAG）以及面向可信信息获取的大语言模型（LLM）评估，在ACM SIGIR等CCF A类顶级会议发表多篇学术论文。他参与组织了由美国国家标准与技术研究院（NIST）支持的TREC国际评测任务，并发布多套可复用的、基于评分细则的自动评估资源。其开发的多智能体RAG系统在TREC报告生成任务的28份全球参赛作品中排名第一；在健康信息检索方面的研究将搜索结果中用户接触到的健康类虚假信息减少了52%。此外，张大珂曾在亚马逊、微软、华为诺亚方舟实验室及字节跳动等多家科技企业从事机器学习、搜索与推荐系统相关研发实习，参与处理千万级用户会话与评测数据，具备丰富的工业界系统研发与落地经验。他同时担任AAAI、WWW、SIGIR、CIKM、WSDM等多个国际学术会议的审稿人，并通过Computing Research Association（CRA）相关项目指导本科生开展科研训练。&lt;/p>
&lt;/blockquote></description></item><item><title>周鹏飞博士应邀与智能信息处理实验室研究生开展专题交流</title><link>https://ldu-iiplab.github.io/news/20260520/</link><pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20260520/</guid><description>&lt;p>近日，应鲁东大学智能信息处理实验室邀请，新加坡国立大学计算机学院周鹏飞博士来到实验室，与研究生开展专题交流。双方围绕多模态大模型、Agent系统、World Model、AI辅助科研以及研究生成长等话题进行了深入探讨。&lt;/p>
&lt;p>交流中，周鹏飞博士结合自身科研经历，介绍了人工智能领域的前沿发展趋势，并围绕科研选题、创新点凝练、文献调研、实验分析和论文写作等方面分享了经验。他指出，人工智能工具正在深刻改变科研方式，但高质量研究仍离不开扎实的专业基础、清晰的问题意识和严谨的实验验证。&lt;/p>
&lt;p>实验室研究生结合各自研究方向积极提问，周鹏飞博士逐一进行了细致解答，并鼓励同学们持续关注学科前沿，选择具有长期价值和实际意义的研究问题。此次交流拓宽了研究生的学术视野，也为同学们今后的科研选题和学术发展提供了有益启发。&lt;/p>
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&lt;p>周鹏飞，新加坡国立大学计算机学院博士，硕士毕业于中国科学院计算技术研究所。研究方向聚焦面向真实开放世界的多模态智能，主要涉及多模态大模型、Agent系统、World Model、开放世界评测和AI系统落地等方向。其研究工作围绕领域智能、多模态大模型、开放世界评测和Agent系统逐步展开，代表性工作包括食品领域大模型FoodSky、开放式图文交错生成评测OpenING、多学科多模态推理评测MDK12-Bench、群体认知建模评测GroupToM-Bench、神经信号驱动图像编辑以及Agent-as-a-Router等。截至目前，周鹏飞已在NeurIPS、CVPR、ACL、IEEE TIP、Patterns等顶级会议和期刊发表论文20余篇，其中第一作者论文10余篇，相关工作获得CVPR Oral、ACL Oral等学术认可。除学术研究外，他还曾在上海人工智能实验室、阿里巴巴达摩院等机构开展研究实习，并参与食品检测、脑机交互、医疗教育和公共科技等方向的系统研发与落地工作。&lt;/p>
&lt;/blockquote></description></item><item><title>A comparative study of vision–language models for food ingredient recognition and nutrient estimation</title><link>https://ldu-iiplab.github.io/publications/a-comparative-study-of-visionlanguage-models-for-food-ingredient-recognition-and-nutrient-estimation/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/a-comparative-study-of-visionlanguage-models-for-food-ingredient-recognition-and-nutrient-estimation/</guid><description/></item><item><title>中国科学院大学蒋树强教授莅临实验室指导工作</title><link>https://ldu-iiplab.github.io/news/20260307/</link><pubDate>Sat, 07 Mar 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20260307/</guid><description>&lt;p>2026年3月7日，中国科学院大学蒋树强教授在百忙之中莅临鲁东大学智能信息处理实验室，与实验室师生进行了一次简短而高效的学术交流。&lt;/p>
&lt;p>会上，蒋树强教授首先听取了实验室近期科研工作进展的简要汇报。他对实验室近期取得的丰硕研究成果，特别是多篇高水平学术论文的连续发表表示了热烈的祝贺与肯定。&lt;/p>
&lt;p>在随后的交流环节中，蒋老师针对同学们在具体科研项目中遇到的难点进行了精准解答。尽管时间紧凑，他依然凭借丰富的经验直击问题核心，为同学们梳理了清晰的解决思路。
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最后，蒋老师勉励在座的研究生们继续保持扎实严谨的科研作风，再接再厉，力争在接下来的研究中取得更大的突破。&lt;/p></description></item><item><title>Focus more, compute less: Lightweight fruit and vegetable recognition with focus token vision transformer</title><link>https://ldu-iiplab.github.io/publications/focus-more-compute-less-lightweight-fruit-and-vegetable-recognition-with-focus-token-vision-transformer/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/focus-more-compute-less-lightweight-fruit-and-vegetable-recognition-with-focus-token-vision-transformer/</guid><description/></item><item><title>SyMFood: Synergistic Multi-Modal Prompting for Fine-Grained Zero-Shot Food Detection</title><link>https://ldu-iiplab.github.io/publications/symfood-synergistic-multi-modal-prompting-for-fine-grained-zero-shot-food-detection/</link><pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/symfood-synergistic-multi-modal-prompting-for-fine-grained-zero-shot-food-detection/</guid><description/></item><item><title>FoodHash: Context-Aware Proxy Interaction and Fusion for Food Image Retrieval</title><link>https://ldu-iiplab.github.io/publications/foodhash-context-aware-proxy-interaction-and-fusion-for-food-image-retrieval/</link><pubDate>Wed, 04 Feb 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/foodhash-context-aware-proxy-interaction-and-fusion-for-food-image-retrieval/</guid><description/></item><item><title>DPFA-net: a lightweight hybrid neural network with dual path feature aggregation for food image recognition</title><link>https://ldu-iiplab.github.io/publications/dpfa-net-a-lightweight-hybrid-neural-network-with-dual-path-feature-aggregation-for-food-image-recognition/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/dpfa-net-a-lightweight-hybrid-neural-network-with-dual-path-feature-aggregation-for-food-image-recognition/</guid><description/></item><item><title>Hybrid Decoding with Co-Occurrence Awareness for Fine-Grained Food Image Segmentation</title><link>https://ldu-iiplab.github.io/publications/hybrid-decoding-with-co-occurrence-awareness-for-fine-grained-food-image-segmentation/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/hybrid-decoding-with-co-occurrence-awareness-for-fine-grained-food-image-segmentation/</guid><description/></item><item><title>Cross-Layer and Selective Distillation for Asymmetric Image Retrieval</title><link>https://ldu-iiplab.github.io/publications/cross-layer-and-selective-distillation-for-asymmetric-image-retrieval/</link><pubDate>Mon, 12 Jan 2026 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/cross-layer-and-selective-distillation-for-asymmetric-image-retrieval/</guid><description/></item><item><title>LLM-Informed Global-Local Contextualization for Zero-Shot Food Detection</title><link>https://ldu-iiplab.github.io/publications/llm-informed-global-local-contextualization-for-zero-shot-food-detection/</link><pubDate>Fri, 19 Dec 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/llm-informed-global-local-contextualization-for-zero-shot-food-detection/</guid><description/></item><item><title>中国科学院计算技术研究所蒋树强研究员与闵巍庆副研究员莅临指导</title><link>https://ldu-iiplab.github.io/news/20250820/</link><pubDate>Wed, 20 Aug 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20250820/</guid><description>&lt;p>8月19日，中国科学院计算技术研究所蒋树强研究员与闵巍庆副研究员莅临实验室召开组会，听取了实验室研究生的工作汇报并给予了指导。&lt;/p></description></item><item><title>实验室捷报频传：本科生团队暑期多项赛事斩获国家级奖项</title><link>https://ldu-iiplab.github.io/news/20250819/</link><pubDate>Tue, 19 Aug 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20250819/</guid><description>&lt;p>近日，我实验室本科生同学在暑假期间多项全国性科技竞赛中表现优异，连创佳绩，共斩获三项国家级大奖，彰显了实验室在人工智能与计算机视觉应用领域的深厚培养底蕴和学生的卓越创新能力。&lt;/p>
&lt;p>在备受瞩目的睿抗机器人大赛全国总决赛中，由22级软件工程专业李云鹏同学率领的队伍（队员：付统宇、孟浩文、王商梓涵、巩浩钰）凭借项目《智膳图谱——计算机视觉驱动的精准营养评估与个性化膳食方案》荣获全国三等奖。该项目巧妙地将计算机视觉技术应用于健康膳食领域，展现了强大的工程实现能力与人文关怀。&lt;/p>
&lt;p>第27届中国机器人与人工智能大赛中，23级人工智能专业王商梓涵同学作为队长（队员：孟浩文、谢圣智），其项目《“果识特工”：高效视觉Transformer在果蔬识别中的结构化建模探索》同样荣获全国三等奖。该项目聚焦于前沿Transformer模型的结构化优化，体现了同学们对学术前沿的敏锐洞察和扎实的科研探索精神。&lt;/p>
&lt;p>中国大学生计算机设计大赛中，22级软件工程专业李云鹏同学再次率队（队员：张文莉、盛瑛楠、吕聪睿），以项目《秒食鉴：一款搭载双路特征聚合架构的高效食品识别APP》拿下全国三等奖。该项目着眼于移动端应用落地，其设计的轻量化模型架构具有良好的实用价值。&lt;/p>
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&lt;p>三项国家级奖项的取得，不仅是对获奖同学们辛勤付出与卓越才华的充分肯定，也充分体现了实验室在人才培养和创新实践方面取得的显著成效。&lt;/p></description></item><item><title>Channel Grouping Vision Transformer for Lightweight Fruit and Vegetable Recognition</title><link>https://ldu-iiplab.github.io/publications/channel-grouping-vision-transformer-for-lightweight-fruit-and-vegetable-recognition/</link><pubDate>Mon, 16 Jun 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/channel-grouping-vision-transformer-for-lightweight-fruit-and-vegetable-recognition/</guid><description/></item><item><title>中国科学院计算技术研究所闵巍庆副研究员莅临指导</title><link>https://ldu-iiplab.github.io/news/20250420/</link><pubDate>Sun, 20 Apr 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20250420/</guid><description>&lt;p>4月20日，中国科学院计算技术研究所闵巍庆副研究员莅临实验室召开组会，听取了实验室研究生的工作汇报并给予了指导。&lt;/p>
&lt;p>本次活动中，实验室研究生围绕食品计算（Food Computing）这一研究方向，分别汇报了近期在食品推荐系统、食品图像目标检测与分割、跨模态食品检索等领域的研究进展与未来规划。通过精心准备的PPT展示，同学们分享了基于深度学习的食品图像分析算法、个性化饮食推荐模型以及多模态食品数据检索技术等创新成果。闵老师对实验室研究生近期的研究成果和取得的明显进步给予了高度评价，并结合实际应用场景，对算法优化、数据标注效率提升以及用户行为建模等关键问题提出了针对性建议。&lt;/p>
&lt;p>人工智能+食品健康的交叉研究是鲁东大学智能信息处理实验室重要的研究方向之一。该方向通过计算机视觉、自然语言处理等技术赋能食品产业智能化升级。此次交流不仅拓宽了团队的研究视野，也为后续产学研合作提供了新思路。实验室将持续深耕食品计算领域，推动技术创新与实际应用落地。&lt;/p></description></item><item><title>实验室2024届本科毕业生考研捷报频传</title><link>https://ldu-iiplab.github.io/news/20250410/</link><pubDate>Thu, 10 Apr 2025 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20250410/</guid><description>&lt;p>近日，鲁东大学智能信息处理实验室2024届本科毕业生考研录取结果揭晓，实验室人才培养再结硕果。四名大四成员凭借扎实的专业基础和突出的科研能力，成功考取国内知名高校研究生，展现了实验室在智能信息领域高质量育人成效。&lt;/p>
&lt;p>饶全瑞同学以优异成绩被吉林大学（国家“双一流”A类高校）人工智能专业录取； &lt;br>
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孙锦杰同学成功考取北京邮电大学（信息科技领域顶尖学府）人工智能方向研究生； &lt;br>
成建华、安涛两位同学双双进入南京信息工程大学（大气科学与信息工程特色高校）人工智能专业深造。 &lt;br>
实验室始终秉持“创新引领、实践育人”理念，通过科研项目驱动、导师-研究生-本科生传帮带等机制，全面提升学生专业素养与科研能力。近年来，实验室毕业生升学率持续攀升，多名学子进入985/211院校及科研院所深造，印证了实验室在智能信息处理领域人才培养的显著成效。&lt;/p></description></item><item><title>实验室研究生参加2024年多媒体技术回顾与展望论坛</title><link>https://ldu-iiplab.github.io/news/20241109/</link><pubDate>Sat, 09 Nov 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20241109/</guid><description>&lt;p>实验室研究生二年级的四位同学于2024年11月8-9日赴苏州CCF业务总部参加由中国计算机学会（CCF）主办，CCF多媒体技术专业委员会、江苏大学联合承办的多媒体技术回顾与展望论坛。&lt;/p>
&lt;p>该论坛汇聚了国内多媒体领域的顶尖专家学者与技术从业者，围绕多媒体技术的前沿研究与产业发展展开深入探讨。与会期间，研究生积极参与论坛主题报告、技术分享与学术交流，深入了解了多媒体技术在人工智能、虚拟现实、图像处理等领域的最新进展与发展趋势。同时，他们与国内外多家科研机构和企业代表展开交流，开拓了学术视野，进一步明确了研究方向。&lt;/p>
&lt;p>此次参会，不仅加强了实验室与国内多媒体技术领域学术圈的联系，也提升了学生的实践能力与学术水平，为今后的科研创新与学术合作奠定了坚实基础。&lt;/p>
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&lt;/p></description></item><item><title>在第26届中国机器人及人工智能大赛全国总决赛中斩获佳绩</title><link>https://ldu-iiplab.github.io/news/20240825/</link><pubDate>Sun, 25 Aug 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20240825/</guid><description>&lt;p>2024年8月25日，第二十六届中国机器人及人工智能大赛全国决赛(宜兴)圆满结束。鲁东大学信息与电气工程学院学生代表队在本次比赛的人工智能创新赛中表现优异，荣获国家级二等奖一项、国家级三等奖两项、省赛区三等奖一项的荣誉。&lt;/p>
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&lt;p>本次大赛由中国机器人及人工智能大赛组委会、江苏省宜兴市人民政府主办,宜兴陶都科技新城发展有限公司、苏州大学机电工程学院、苏州大闹天宫机器人科技有限公司、乐聚(深圳)机器人技术有限公司、宜兴市大数据发展有限公司联合承办。大赛吸引了来自清华大学、哈尔滨工业大学、浙江大学、国防科技大学、北京航空航天大学、北京理工大学、同济大学、华中科技大学等208所高校的407支队伍、1300余名选手参赛，围绕自动驾驶、机器人、人工智能等领域的前沿技术应用与实践进行技术交流、切磋并展开激烈对决。超200位机器人与人工智能领域的专家学者、行业精英齐聚一堂,共同探讨机器人与人工智能领域前沿技术和应用落地。&lt;/p></description></item><item><title>“兆易创新杯”第十九届中国研究生电子设计竞赛—荣获省赛一等奖</title><link>https://ldu-iiplab.github.io/news/20240815/</link><pubDate>Thu, 15 Aug 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20240815/</guid><description>&lt;p>在“兆易创新杯”第十九届中国研究生电子设计竞赛中，由研究生曹品丹、张世杰、王峻松组成的参赛团队—“智食”分子，获得华北赛区省级一等奖。&lt;/p>
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&lt;/p></description></item><item><title>Lightweight Food Recognition via Aggregation Block and Feature Encoding</title><link>https://ldu-iiplab.github.io/publications/lightweight-food-recognition-via-aggregation-block-and-feature-encoding/</link><pubDate>Mon, 22 Jul 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/lightweight-food-recognition-via-aggregation-block-and-feature-encoding/</guid><description/></item><item><title>中国科学院计算技术研究所蒋树强研究员与闵巍庆副研究员莅临指导</title><link>https://ldu-iiplab.github.io/news/20240713/</link><pubDate>Sat, 13 Jul 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20240713/</guid><description>&lt;p>2024年7月13日下午，中国科学院计算技术研究所&lt;strong>蒋树强&lt;/strong>研究员与&lt;strong>闵巍庆&lt;/strong>副研究员莅临指导。&lt;/p>
&lt;p>在此次活动中，实验室的研究生们积极参与，并依次上台进行了课题汇报和研究成果的总结。&lt;/p>
&lt;p>盛国瑞老师首先总结了上半年实验室工作进展并规划了接下来的工作。&lt;/p>
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&lt;p>2022级研究生汇报。&lt;/p>
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&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2022/20240713%20%285%29_hu6636ddaf158b29f544f2cd94c73260c6_59242_db57fb56bedef661d47a00f4dbb27b2d.webp 400w,
/news/20240713/images/2022/20240713%20%285%29_hu6636ddaf158b29f544f2cd94c73260c6_59242_cb3861a40b92bebfce26cfa583eb7502.webp 760w,
/news/20240713/images/2022/20240713%20%285%29_hu6636ddaf158b29f544f2cd94c73260c6_59242_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2022/20240713%20%285%29_hu6636ddaf158b29f544f2cd94c73260c6_59242_db57fb56bedef661d47a00f4dbb27b2d.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2022/20240713%20%286%29_hu4710acd1be01d9b0e0a9dadea8634e8d_88602_35c1b5e0554cb6f5237ea5f2a69c61ca.webp 400w,
/news/20240713/images/2022/20240713%20%286%29_hu4710acd1be01d9b0e0a9dadea8634e8d_88602_7d7d20dca921de111ffba8ecdccddb8a.webp 760w,
/news/20240713/images/2022/20240713%20%286%29_hu4710acd1be01d9b0e0a9dadea8634e8d_88602_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2022/20240713%20%286%29_hu4710acd1be01d9b0e0a9dadea8634e8d_88602_35c1b5e0554cb6f5237ea5f2a69c61ca.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2022/20240713%20%2829%29_hu04534635861a12c1101c4e9641c7a1d3_95078_1bd084b68c72753b10b637f259be796c.webp 400w,
/news/20240713/images/2022/20240713%20%2829%29_hu04534635861a12c1101c4e9641c7a1d3_95078_947eb1a4bf18fe977118ebae178f6122.webp 760w,
/news/20240713/images/2022/20240713%20%2829%29_hu04534635861a12c1101c4e9641c7a1d3_95078_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2022/20240713%20%2829%29_hu04534635861a12c1101c4e9641c7a1d3_95078_1bd084b68c72753b10b637f259be796c.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p>2023级研究生汇报。&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2023/20240713%20%2826%29_hu6937ebefe4df06118c549f034f316fc5_59546_c54d988abc49cc8841f0d734ef985bd6.webp 400w,
/news/20240713/images/2023/20240713%20%2826%29_hu6937ebefe4df06118c549f034f316fc5_59546_2a7e535bfa05e6877276efd06c61e34c.webp 760w,
/news/20240713/images/2023/20240713%20%2826%29_hu6937ebefe4df06118c549f034f316fc5_59546_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2023/20240713%20%2826%29_hu6937ebefe4df06118c549f034f316fc5_59546_c54d988abc49cc8841f0d734ef985bd6.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2023/20240713%20%2818%29_hub0eb04c15a0fc05cacf20538285b9884_51164_c826dfb17a0b75dce72d43a386b708db.webp 400w,
/news/20240713/images/2023/20240713%20%2818%29_hub0eb04c15a0fc05cacf20538285b9884_51164_1ea45d92dbe8641f0b3ccf0ef6988cb4.webp 760w,
/news/20240713/images/2023/20240713%20%2818%29_hub0eb04c15a0fc05cacf20538285b9884_51164_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2023/20240713%20%2818%29_hub0eb04c15a0fc05cacf20538285b9884_51164_c826dfb17a0b75dce72d43a386b708db.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2023/20240713%20%289%29_hued8c165c1be916d06b8e69dd95033b59_92081_06494ca2e72ee9b65c7c2dea00f21e2e.webp 400w,
/news/20240713/images/2023/20240713%20%289%29_hued8c165c1be916d06b8e69dd95033b59_92081_04cb8d10d83dd0c6a4af1005a34cfef8.webp 760w,
/news/20240713/images/2023/20240713%20%289%29_hued8c165c1be916d06b8e69dd95033b59_92081_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2023/20240713%20%289%29_hued8c165c1be916d06b8e69dd95033b59_92081_06494ca2e72ee9b65c7c2dea00f21e2e.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2023/20240713%20%2820%29_hu05b77519c926fd116b149b80f1da1788_88312_43ea11ba458a4fb68528bf2362d21b34.webp 400w,
/news/20240713/images/2023/20240713%20%2820%29_hu05b77519c926fd116b149b80f1da1788_88312_10f83b76456acc4474bcffa5f2945ffd.webp 760w,
/news/20240713/images/2023/20240713%20%2820%29_hu05b77519c926fd116b149b80f1da1788_88312_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2023/20240713%20%2820%29_hu05b77519c926fd116b149b80f1da1788_88312_43ea11ba458a4fb68528bf2362d21b34.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p>2024级研究生汇报。&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%283%29_hu7207ddd7fbc1f83b4e55e6c7b16f6acb_59183_ad8e28b22b4d39d321bfef86de8623a8.webp 400w,
/news/20240713/images/2024/20240713%20%283%29_hu7207ddd7fbc1f83b4e55e6c7b16f6acb_59183_e04ef8ed84fea03ce62eea507ec9c352.webp 760w,
/news/20240713/images/2024/20240713%20%283%29_hu7207ddd7fbc1f83b4e55e6c7b16f6acb_59183_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%283%29_hu7207ddd7fbc1f83b4e55e6c7b16f6acb_59183_ad8e28b22b4d39d321bfef86de8623a8.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2832%29_hu338f4ae9dfb40f2e21419443c853d839_157717_409af4fe8d516620097481472a1de5e7.webp 400w,
/news/20240713/images/2024/20240713%20%2832%29_hu338f4ae9dfb40f2e21419443c853d839_157717_c92e72d291aa497e3ea326f7ed3df0be.webp 760w,
/news/20240713/images/2024/20240713%20%2832%29_hu338f4ae9dfb40f2e21419443c853d839_157717_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2832%29_hu338f4ae9dfb40f2e21419443c853d839_157717_409af4fe8d516620097481472a1de5e7.webp"
width="760"
height="566"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2833%29_huf72517a6dbdbf79018695649aefa4cf0_472055_76d803b024eacbccff02e6c362fda013.webp 400w,
/news/20240713/images/2024/20240713%20%2833%29_huf72517a6dbdbf79018695649aefa4cf0_472055_66f537aa72ce379ada64f5573c547bc0.webp 760w,
/news/20240713/images/2024/20240713%20%2833%29_huf72517a6dbdbf79018695649aefa4cf0_472055_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2833%29_huf72517a6dbdbf79018695649aefa4cf0_472055_76d803b024eacbccff02e6c362fda013.webp"
width="760"
height="569"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2819%29_hub699c32ca4e4c16be68ef7ebc417653a_61232_ce98dfa4e81c38f4b7f00a64f47b32a8.webp 400w,
/news/20240713/images/2024/20240713%20%2819%29_hub699c32ca4e4c16be68ef7ebc417653a_61232_8090791b980555fb11d2ba6596ae632e.webp 760w,
/news/20240713/images/2024/20240713%20%2819%29_hub699c32ca4e4c16be68ef7ebc417653a_61232_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2819%29_hub699c32ca4e4c16be68ef7ebc417653a_61232_ce98dfa4e81c38f4b7f00a64f47b32a8.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2811%29_hu1514c14a4ccb2b120003eab3e402b60a_56408_eeeb5434d24a246852c06187a4f91594.webp 400w,
/news/20240713/images/2024/20240713%20%2811%29_hu1514c14a4ccb2b120003eab3e402b60a_56408_6dfec10be987e1dbeb19dc4bd03ff473.webp 760w,
/news/20240713/images/2024/20240713%20%2811%29_hu1514c14a4ccb2b120003eab3e402b60a_56408_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2811%29_hu1514c14a4ccb2b120003eab3e402b60a_56408_eeeb5434d24a246852c06187a4f91594.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2827%29_huf2cacfa7c985cc078390064a8a83ba00_86901_03d19e1303dddbe698bae4027da78b96.webp 400w,
/news/20240713/images/2024/20240713%20%2827%29_huf2cacfa7c985cc078390064a8a83ba00_86901_210bea52b0da08ae4862d4eef1d283a5.webp 760w,
/news/20240713/images/2024/20240713%20%2827%29_huf2cacfa7c985cc078390064a8a83ba00_86901_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2827%29_huf2cacfa7c985cc078390064a8a83ba00_86901_03d19e1303dddbe698bae4027da78b96.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/2024/20240713%20%2834%29_hu23a8fd74bee8ca3cd49c56fddfce4620_4442607_392d0ef65db30befa02969c38e2871dc.webp 400w,
/news/20240713/images/2024/20240713%20%2834%29_hu23a8fd74bee8ca3cd49c56fddfce4620_4442607_655bf916e5ef0ca49a39dffe409d2dcc.webp 760w,
/news/20240713/images/2024/20240713%20%2834%29_hu23a8fd74bee8ca3cd49c56fddfce4620_4442607_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/2024/20240713%20%2834%29_hu23a8fd74bee8ca3cd49c56fddfce4620_4442607_392d0ef65db30befa02969c38e2871dc.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p>
&lt;p>最后，&lt;strong>蒋树强&lt;/strong>研究员与&lt;strong>闵巍庆&lt;/strong>副研究员耐心解答了同学们提出的各类问题，并分享了他们宝贵的科研经验与心得。&lt;/p>
&lt;p>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/20240713%20%2836%29_hudf6df96a0873f4c192e7e407c4af71b3_2488359_cf4aa0d3c10d3d442dd468095de1264f.webp 400w,
/news/20240713/images/20240713%20%2836%29_hudf6df96a0873f4c192e7e407c4af71b3_2488359_5f5f078fdac4235e903b66e5e5b38d82.webp 760w,
/news/20240713/images/20240713%20%2836%29_hudf6df96a0873f4c192e7e407c4af71b3_2488359_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/20240713%20%2836%29_hudf6df96a0873f4c192e7e407c4af71b3_2488359_cf4aa0d3c10d3d442dd468095de1264f.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/20240713%20%2841%29_hu10ba1e5f112ad329f068cf05ee2c99f8_3308531_1310a4eab76f23077e512aa4caa15337.webp 400w,
/news/20240713/images/20240713%20%2841%29_hu10ba1e5f112ad329f068cf05ee2c99f8_3308531_ae216aafeefcef399be2c102dbbe3dea.webp 760w,
/news/20240713/images/20240713%20%2841%29_hu10ba1e5f112ad329f068cf05ee2c99f8_3308531_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/20240713%20%2841%29_hu10ba1e5f112ad329f068cf05ee2c99f8_3308531_1310a4eab76f23077e512aa4caa15337.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
/news/20240713/images/20240713%20%2849%29_hub4b47be9d77db65945c10c9bf426ae78_2546030_43d0269ef8b2340c5438662e1d6c4281.webp 400w,
/news/20240713/images/20240713%20%2849%29_hub4b47be9d77db65945c10c9bf426ae78_2546030_3364548910b8e457f5b21114a49e5f3b.webp 760w,
/news/20240713/images/20240713%20%2849%29_hub4b47be9d77db65945c10c9bf426ae78_2546030_1200x1200_fit_q100_h2_lanczos.webp 1200w"
src="https://ldu-iiplab.github.io/news/20240713/images/20240713%20%2849%29_hub4b47be9d77db65945c10c9bf426ae78_2546030_43d0269ef8b2340c5438662e1d6c4281.webp"
width="760"
height="570"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>基于Transformer的零样本食品图像检测</title><link>https://ldu-iiplab.github.io/publications/%E5%9F%BA%E4%BA%8Etransformer%E7%9A%84%E9%9B%B6%E6%A0%B7%E6%9C%AC%E9%A3%9F%E5%93%81%E5%9B%BE%E5%83%8F%E6%A3%80%E6%B5%8B/</link><pubDate>Fri, 31 May 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/%E5%9F%BA%E4%BA%8Etransformer%E7%9A%84%E9%9B%B6%E6%A0%B7%E6%9C%AC%E9%A3%9F%E5%93%81%E5%9B%BE%E5%83%8F%E6%A3%80%E6%B5%8B/</guid><description/></item><item><title>Lightweight Food Image Recognition With Global Shuffle Convolution</title><link>https://ldu-iiplab.github.io/publications/lightweight-food-image-recognition-with-global-shuffle-convolution/</link><pubDate>Thu, 02 May 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/lightweight-food-image-recognition-with-global-shuffle-convolution/</guid><description/></item><item><title>基于增强Vision Transformer的哈希食品图像检索</title><link>https://ldu-iiplab.github.io/publications/%E5%9F%BA%E4%BA%8E%E5%A2%9E%E5%BC%BAvision-transformer%E7%9A%84%E5%93%88%E5%B8%8C%E9%A3%9F%E5%93%81%E5%9B%BE%E5%83%8F%E6%A3%80%E7%B4%A2/</link><pubDate>Sat, 09 Mar 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/%E5%9F%BA%E4%BA%8E%E5%A2%9E%E5%BC%BAvision-transformer%E7%9A%84%E5%93%88%E5%B8%8C%E9%A3%9F%E5%93%81%E5%9B%BE%E5%83%8F%E6%A3%80%E7%B4%A2/</guid><description/></item><item><title>A lightweight hybrid model with location-preserving vit for efficient food recognition</title><link>https://ldu-iiplab.github.io/publications/a-lightweight-hybrid-model-with-location-preserving-vit-for-efficient-food-recognition/</link><pubDate>Mon, 08 Jan 2024 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/a-lightweight-hybrid-model-with-location-preserving-vit-for-efficient-food-recognition/</guid><description/></item><item><title>团队前往云南参加2023年中国多媒体大会</title><link>https://ldu-iiplab.github.io/news/20230801/</link><pubDate>Tue, 01 Aug 2023 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20230801/</guid><description>&lt;p>2023年8月2-4日由中国计算机学会（CCF）、中国图象图形学学会（CSIG）主办，CCF多媒体技术专业委员会、CSIG多媒体专业委员会、云南大学承办，昆明理工大学、云南师范大学和云南民族大学联合承办的中国多媒体大会（ChinaMM 2023）在云南省昆明市成功举办。&lt;/p>
&lt;p>大会包含4个大会主旨报告，1场企业特邀报告，2个讲习班，15个论坛，多场创新成果展等，团队盛国瑞老师带领两位研究生前往参加进行学术交流。&lt;/p>
&lt;p>
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&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230801/images/20230802-2_hua1703d8794d9f9bd4acdafb00540e65f_1528540_59011a7a6e0fce478b2154bead449163.webp"
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&lt;div class="w-100" >&lt;img alt="" srcset="
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/news/20230801/images/20230802-1_huc7c6b9862e0489afcb130559ba47700f_1094259_fd59c1193e3e388b3fe22030be637649.webp 760w,
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src="https://ldu-iiplab.github.io/news/20230801/images/20230802-1_huc7c6b9862e0489afcb130559ba47700f_1094259_d7dd1ec75cd76b981ed3cd131fdca981.webp"
width="760"
height="446"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>中国科学院计算技术研究所闵巍庆副研究员莅临指导</title><link>https://ldu-iiplab.github.io/news/20230629/</link><pubDate>Thu, 29 Jun 2023 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20230629/</guid><description>&lt;p>2023年6月29日下午，中国科学院计算技术研究所&lt;strong>闵巍庆&lt;/strong>副研究员莅临指导。&lt;/p>
&lt;p>在此次活动中，实验室的研究生们积极参与，并依次上台进行了课题汇报和研究成果的总结。&lt;/p>
&lt;p>
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src="https://ldu-iiplab.github.io/news/20230629/images/20230629_hu2d7ad6a5d9f1c046d3e9e44a8c146cd5_396763_3a7aead661d2b9cc009c033a2c7ab414.webp"
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src="https://ldu-iiplab.github.io/news/20230629/images/20230629-1_hu096dfc49a3ce4b5ff06f6b5793af1be1_470079_885db2db09f9c69101126ae6c3c6a03b.webp"
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&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230629/images/20230629-3_hu4b092d4f94f2f3b1ab78dfa95cf507af_533306_cb9ba024af42703e0380bc7dd8f298b0.webp"
width="714"
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&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>CCF-CV走进高校系列报告会（@鲁东大学）</title><link>https://ldu-iiplab.github.io/news/20230625/</link><pubDate>Sun, 25 Jun 2023 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20230625/</guid><description>&lt;p>中国计算机学会计算机视觉专委会 (CCF-CV) 成立于2013年10月26日，是直属于中国计算机学会的计算机视觉领域的专业分支机构。
2023年6月25日，由中国计算机学会计算机视觉专委会（CCF-CV）主办、鲁东大学信息与电气工程学院承办的走进高校系列报告会在鲁东大学信息与电气工程学院报告厅(22-317)成功举办。&lt;/p>
&lt;p>本次活动由鲁东大学信息与电气工程学院院长&lt;strong>王丽丽&lt;/strong>教授、副院长&lt;strong>姚涛&lt;/strong>副教授担任执行主席。著名学者复旦大学教授&lt;strong>姜育刚&lt;/strong>、山东师范大学教授&lt;strong>朱磊&lt;/strong>、中科院计算所研究员&lt;strong>蒋树强&lt;/strong>应邀作专题报告，实验室团队成员参加了报告会。&lt;/p>
&lt;p>
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&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230625/images/DSC_6526_huf97279350ae28e09faa0a6944c7771ac_9706965_93b01653624bc695fbab883d760949fa.webp"
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src="https://ldu-iiplab.github.io/news/20230625/images/DSC_6530_huf97279350ae28e09faa0a6944c7771ac_10739172_85a18b4d0bc8cec9e494d0c9415125b8.webp"
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src="https://ldu-iiplab.github.io/news/20230625/images/DSC_6598_huf97279350ae28e09faa0a6944c7771ac_10329368_7a71d9484514e68d490f3864865b55a6.webp"
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src="https://ldu-iiplab.github.io/news/20230625/images/DSC_6539_huf97279350ae28e09faa0a6944c7771ac_10163895_26d21396a60e1b20c1f85208fbf0cb3c.webp"
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src="https://ldu-iiplab.github.io/news/20230625/images/DSC_6634_huf97279350ae28e09faa0a6944c7771ac_9457610_2f105335ec09132377a3f49cd5e0c645.webp"
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width="760"
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&lt;/p></description></item><item><title>第二十五届中国机器人及人工智能大赛获奖</title><link>https://ldu-iiplab.github.io/news/20230605/</link><pubDate>Mon, 05 Jun 2023 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20230605/</guid><description>&lt;p>在第二十五届中国机器人及人工智能大赛中，参赛队伍斩获国赛三等奖一项以及省赛区三等奖两项。
&lt;figure >
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&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230605/images/certificate2-2_hu29e45fae66e25d2eaeea384d22f80090_7957565_5de90899a87808a28cb3262d882341e7.webp"
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&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230605/images/certificate3-2_hu29e45fae66e25d2eaeea384d22f80090_7951283_730d338dcd02f2fe0f79ca885da9dcd1.webp"
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src="https://ldu-iiplab.github.io/news/20230605/images/certificate3-3_hu29e45fae66e25d2eaeea384d22f80090_7939814_715ef8f6fc7a3725afd5699d12128ec0.webp"
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&lt;/p></description></item><item><title>我校信息与电气工程学院举办学术报告会及座谈会，中国科学院计算技术研究所专家莅临指导科研工作</title><link>https://ldu-iiplab.github.io/news/20230420/</link><pubDate>Thu, 20 Apr 2023 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20230420/</guid><description>&lt;p>2023年4月20日上午，应信息与电气工程学院邀请，中国科学院计算技术研究所&lt;strong>蒋树强&lt;/strong>研究员、&lt;strong>闵巍庆&lt;/strong>副研究员为我校教师和研究生做学术报告并与科研团队人员召开座谈会。&lt;/p>
&lt;p>报告会和座谈会由信息与电气工程学院院长&lt;strong>王丽丽&lt;/strong>教授主持，相关科研团队教师和全体硕士研究生参加报告会，科研团队负责人参加了座谈会。
下午，两位老师分别对实验室成员进行了科研学习指导。
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20230420/images/1_hucff96fb12be32225f532d09b2ec503ae_949468_f3fd1f961e86cc248425610d22f4a439.webp"
width="760"
height="514"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>Food recognition via an efficient neural network with transformer grouping</title><link>https://ldu-iiplab.github.io/publications/food-recognition-via-an-efficient-neural-network-with-transformer-grouping/</link><pubDate>Fri, 02 Sep 2022 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/publications/food-recognition-via-an-efficient-neural-network-with-transformer-grouping/</guid><description/></item><item><title>第二十四届中国机器人及人工智能大赛获奖</title><link>https://ldu-iiplab.github.io/news/20220805/</link><pubDate>Fri, 05 Aug 2022 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/news/20220805/</guid><description>&lt;p>在第二十四届中国机器人及人工智能大赛中，参赛队伍斩获国赛一等奖。
&lt;figure >
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img alt="" srcset="
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src="https://ldu-iiplab.github.io/news/20220805/images/certificate_hu4728f9dc034f38ca286fb28bc434d081_731399_ab28e71a4c1ed3a2ff69084a617cd9fd.webp"
width="760"
height="538"
loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
&lt;/p></description></item><item><title>具身智能</title><link>https://ldu-iiplab.github.io/research/embodied-intelligence/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/research/embodied-intelligence/</guid><description>&lt;p>围绕物体目标导航、多物体目标导航和视觉语言导航，研究目标理解、环境探索、场景记忆、空间关系建模、自然语言指令理解以及跨场景泛化方法。&lt;/p></description></item><item><title>联系我们</title><link>https://ldu-iiplab.github.io/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/contact/</guid><description/></item><item><title>食品计算与 Agent</title><link>https://ldu-iiplab.github.io/research/food-computing-agent/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/research/food-computing-agent/</guid><description>&lt;p>研究食品与食材的识别、检测、分割和图像检索，关注细粒度类别、开放场景与轻量化模型；研究食品图像、食谱文本、食材信息和营养知识之间的关联建模，并探索领域知识检索、工具调用、任务规划与可信交互方法。&lt;/p></description></item><item><title>研究团队</title><link>https://ldu-iiplab.github.io/people/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ldu-iiplab.github.io/people/</guid><description/></item></channel></rss>