罗昕

个人信息Personal Information

助理研究员 硕士生导师

性别:男

毕业院校:山东大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在职

所在单位:软件学院

入职时间:2019-08-22

办公地点:软件园校区
软件学院办公楼 425

联系方式:luoxin@sdu.edu.cn


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个人简介Personal Profile

    罗昕,博士,山东大学软件学院助理研究员,硕士生导师。入选山东大学青年学者未来计划。2010年进入国家基础学科拔尖学生培养试验计划(珠峰计划)山东大学“泰山学堂”,2014年获得学士学位;于2019年3月申请提前答辩并顺利通过,在山东大学计算机科学与技术学院获得博士学位;毕业后留校任教。

    主要研究领域为机器学习、机器视觉、数据挖掘、信息检索和图像/视频内容分析与检索等。在国际学术期刊和会议上发表论文三十余篇,如WWW、AAAI、MM、IJCAI、SIGIR、TIP等。已获得国家授权的发明专利十余项。曾获山东省人工智能科技进步一等奖、ACM新星奖(济南分会)、山东大学校长奖、山东大学优秀博士论文、山东省人工智能学会优秀博士论文等荣誉。教育教学方面获山东省高校青年教师教学比赛三等奖、山东大学青年教学能手称号、山东大学优秀班主任、山东大学青年教师教学比赛一等奖、山东大学课程思政教学名师、山东大学优秀本科毕业论文(设计)指导奖。

    现任中国计算机学会人工智能与模式识别专业委员会执行委员,中国计算机学会多媒体技术专业委员会通讯委员,中国人工智能学会机器学习专业委员会通讯委员,山东省人工智能学会理事,山东省神经科学学会理事。担任ACM MM、AAAI、IJCAI等国际学术会议的程序委员会委员,并担任IEEE TCYB、IEEE TMM、INS、PR、ACM TOMM等国际学术期刊审稿人。



招生信息

学术型硕士生:人工智能、软件工程

专业型硕士生:电子信息(人工智能方向、软件工程方向)

** 2023年度招生名额情况:人工智能学硕剩余1名人工智能专硕剩余1名,其他已招满。(动态更新中)


山东大学机器学习与媒体分析实验室(MIMA)成立于2012年,隶属于山东大学软件学院,其负责人是许信顺教授。实验室每年招收博士后1-2人,博士生1-2人,硕士生6-12人,欢迎软件、计算机、人工智能、数学和信息等相关专业的同学加入。


Education:

◼ Shandong University, Jinan, China (Sep 2014 - Mar 2019)

   - Doctor of Philosophy (Ph.D.), Computer Science and Technology

   - Advisor: Prof. Xin-Shun Xu  (许信顺教授) and Prof. Liqiang Nie (聂礼强教授)


◼ Shandong University, Jinan, China (Sep 2010 - Jun 2014)

   - Bachelor of Science (B.S.), Computer Science and Technology

   - In particular, I was a member of Taishan College. (泰山学堂)


◼ National University of Singapore, NUS, Singapore (Jan 2018 - Feb 2019)  

   - Visiting student, in NEXT++, School of Computing

   - Advised by Prof. Tat-Seng Chua.   


Academic Service:

Journal Reviewer

-IEEE Transactions on Circuits and Systems for Video Technology 

-IEEE Transactions on Cybernetics

-IEEE Transactions on Knowledge and Data Engineering

-IEEE Transactions on Multimedia

-IEEE Transactions on Neural Networks and Learning System

-IEEE Access

-ACM Transactions on Information Systems

-ACM Transactions on Multimedia Computing, Communications, and Applications

-Information Sciences

-Pattern Recognition

-Journal of Software

-SCIENCE CHINA Information Sciences

-Knowledge-Based Systems

-Neurocomputing

-Wireless Communications and Mobile Computing

-Signal Processing Journal

-Multimedia System

-EURASIP Journal on Image and Video Processing

-Neural Processing Letters

-Frontiers of Computer Science

Conference Reviewer

-International Joint Conference on Artificial Intelligence 2021/2022 - PC member

-AAAI Conference on Artificial Intelligence 2021/2022/2023 - PC member 

-ACM International Conference on Multimedia 2019/2020/2021/2022 - PC member 

-ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022 - PC member

-IEEE International Conference on Acoustics, Speech, & Signal Processing 2023 - PC member

-Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022/2023 -  PC member

-CCF Conference on Artificial Intelligence (CCFAI)  2021 - PC member 

-ACM Multimedia Asia 2020/2021/2022 - PC member

-International Conference on Web Search and Data Mining 2022 - PC member

-China Conference on Data Mining (CCDM) 2020/2022

-ChinaMM 2020

-Annual Meeting of the Association for Computational Linguistics

-Pacific-Rim Conference on Multimedia


科研、教研项目

2023,面向大规模流式多媒体数据的快速跨模态检索相关问题研究,国家自然科学基金青年,第一位

2022,基于联邦学习的5G基站能耗及切片优化模型研究,横向,第一位

2022,山东大学青年学者未来计划项目,山东大学人才计划,第一位

2021,2021年度课程思政示范项目,校级,第一位

2021,深度学习轻量化模型研究与应用,横向,第一位

2021,面向复杂场景下的多媒体数据的快速检索研究,省自然科学基金青年,第一位

2021,AI课程思政教学设计与实践研究,以“机器学习”课程为例,校级一般,第一位

2020,研究生国际化课程-深度学习与应用,校级,第一位 


Full Publication List: (Google Scholar

In the year of 2022:

ØXiao-Ming WuXin Luo*, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, and Xin-Shun Xu. Online enhanced semantic hashing: Towards effective and efficient retrieval for streaming multi-modal data. AAAI Conference on Artificial Intelligence (AAAI). 2022. (Full, CCF A)  [code is available]

Ø Yan Wang, Yu-Wei Zhan, Xin Luo*, Meng Liu,  and Xin-Shun Xu. Survey on video moment retrieval. Journal of Software (软件学报). 2022, Accepted. (In Chinese, CCF A) 

ØChen-Lu Ding, Xin Luo*Xiao-Ming Wu, Yu-Wei Zhan, Rui Li, Hui Zhang, and Xin-Shun Xu. Weakly-Supervised Online Hashing with Refined Pseudo Tags. ACM International Conference on Information and Knowledge Management  (CIKM). 2022.  (Full, CCF B)  [code will be available soon]

ØYu-Wei Zhan,Xin Luo*, Yongxin Wang, Zhen-Duo Chen,  and Xin-Shun Xu. Three-stream joint network for zero-shot sketch-based image retrieval. 2022, arXiv.  [paper]

ØYan Wang, Xin Luo*Zhen-Duo Chen, Peng-Fei Zhang, Meng Liu, Xin-Shun Xu. FedVMR: A New Federated Learning method for Video Moment Retrieval. 2022, arXiv. [paper]

ØJiale Liu, Yu-Wei ZhanXin Luo*, Zhen-Duo Chen, Yongxin Wang, Xin-Shun Xu. Prototype-Based Layered Federated Cross-Modal Hashing. 2022, arXiv. [paper]

ØZhen-Duo Chen, Xin Luo, Yongxin Wang, Shanqing Guo, and Xin-Shun Xu. Fine-grained hashing with double filtering. IEEE Transactions on Image Processing (TIP). 2022, 31, 1671-1683. (SCI, CCF A, IF=10.856)  [code is available]

ØYali Du, Yinwei Wei , Wei Ji, Fan Liu, Xin Luo, and Liqiang Nie. Multi-queue Momentum Contrast for Microvideo-Product Retrieval. ACM International Conference on Web Search and Data Mining (WSDM). 2023. (CCF B)

Ø  Yongxin Wang, Zhen-Duo Chen, Xin Luo, and Xin-Shun Xu. A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2022. ( SCI, CCF B,  IF=5.859)   [code is available]

Ø  Tian-Zi Niu, Shan-Shan Dong, Zhen-Duo Chen, Xin Luo, Zi Huang, Shanqing Guo, and Xin-Shun Xu. A Multi-layer Memory Sharing Network for Video Captioning. Pattern Recognition, 2022. (SCI, CCF B)

ØXinyu Liu, Xiaoqian Liu, Bin Wang,  Xin Luo, and Xin-Shun Xu. Arbitrary-shaped scene text detection with scoring mask quality. IEEE International Conference on Multimedia & Expo (ICME). 2022. (CCF B)

ØShanshan Dong, Tianzi Niu,  Xin Luo, Wu Liu, and Xin-Shun Xu. Semantic embedding  guided attention with explicit visual feature fusion for video captioning. ACM Transactions on Multimedia Computing Communications and Applications (TOMM). 2022. (CCF B)

ØJieru Tian, Yongxin Wang, Zhen-Duo Chen, Xin Luoand Xin-Shun Xu. Weakly-Supervised Fine-Grained Classification of Breast Cancer. ACM Transactions on Intelligent Systems and Technology (TIST). 2022. (SCI)

ØPeng-Fei Zhang, Zi Huang, Xin Luo, Pengfei Zhao. Robust Learning with Adversarial Perturbations and Label Noise: A Two-Pronged Defense Approach.  ACM Multimedia Asia. 2022. (Regular)

ØZi-Chao Zhang, Zhen-Duo Chen, Yongxin Wang, Xin Luo, and Xin-Shun Xu. ViT-FOD: A vision transformer based fine-grained object discriminator. 2022, arXiv.  [paper]


In the year of 2021:

ØYongxin Wang, Zhen-Duo Chen, Xin Luo*, and Xin-Shun Xu. High-dimensional sparse cross-modal hashing with fine-grained similarity embedding. In proceedings of the Web Conference (WWW). 2021, 2900-2909. (Full,Oral, CCF A)   [code is available]

ØHui-Qiong Li, Yongxin Wang, Zhen-Duo Chen, Xin Luo*, and Xin-Shun Xu. Ranking-based supervised discrete cross-modal hashing. Chinese Journal of Computers (计算机学报). 2021, 44(8): 1620-1635. (In Chinese, CCF A) 

ØYu-Wei Zhan, Yongxin Wang, Yu Sun, Xiao-Ming Wu, Xin Luo*, and Xin-Shun Xu. Discrete online cross-modal hashing.Pattern Recognition, 2021, 108262. (SCI, CCF B, IF=7.740) [code is available]

ØYu-Wei Zhan, Xin Luo*, Yu Sun, Yongxin Wang, Zhen-Duo Chen, and Xin-Shun Xu. Weakly-supervised online hashing. IEEE International Conference on Multimedia & Expo (ICME). 2021. (Full, Oral, CCF B) [code is avaiable] 

ØHong-Lei Yao, Yu-Wei Zhan, Zhen-Duo Chen, Xin Luo*, and Xin-Shun Xu. TEACH: Attention-aware deep cross-modal hashing. ACM International Conference on Multimedia Retrieval (ICMR'21), 2021. (Full, oral, CCF B)

ØXiao-Ming WuXin Luo*, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, and Xin-Shun Xu. Online enhanced semantic hashing: Towards effective and efficient retrieval for streaming multi-modal data. 2021, arXiv. [paper]

ØYongxin Wang, Jie-Ru Tian, Zhen-Duo Chen, Xin Luo,  and Xin-Shun Xu. Label enhancement discrete cross-modal hashing method. Journal of Software (软件学报). 2021, Accepted. (In Chinese, CCF A) 

ØYongxin Wang, Zhen-Duo Chen, Xin Luo, Rui Li, and Xin-Shun Xu. Fast cross-modal hashing with global and local similarity embedding. IEEE Transactions on Cybernetics(TCYB). 2021. (SCI, CCF B) [code is avaiable]

ØPeng-Fei Zhang, Pengfei Zhao, Xin Luo, and Xin-Shun Xu. BRUSH: Label reconstructing and similarity preserving hashing for cross-modal retrieval.  ACM Multimedia Asia. 2021. (Regular)


In the year of 2020:

ØYu-Wei Zhan, Xin Luo*, Yongxin Wang, and Xin-Shun Xu. Supervised hierarchical deep hashing for cross-modal retrieval. In proceedings of the ACM International Conference on Multimedia (MM). 2020, 3386-3394. (Full, Poster, CCF A) [code is avaiable]

ØYu-Wei Zhan, Xin Luo*, Yu Sun, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu. Weakly-supervised online hashing. 2020, arXiv.  [paper]

ØYongxin Wang, Xin Luo, Xin-Shun Xu. Label embedding online hashing for cross-modal retrieval. In proceedings of the ACM International Conference on Multimedia(MM).2020,871-879.(Full, Oral, CCF A) [code is avaiable]

ØYongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, Xin-Shun Xu. BATCH: A scalable asymmetric discrete cross-modal hashing. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2020, 33(11), 3507-3519.(SCI, CCF A, IF=3.85) [code is avaiable


In the year of 2019:

ØXin Luo, Peng-Fei Zhang, Zi Huang, Liqiang Nie, Xin-Shun Xu. Discrete hashing with multiple supervision. IEEE Transactions on Image Processing(TIP). 2019, 28(6): 2962-2975.(SCI, CCF A, IF=6.79)

ØZhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun Xu. A two-step cross-modal hashing by exploiting label correlations and preserving similarity in both steps. In proceedings of the ACM International Conference on Multimedia(MM). 2019,1694-1702.(Full, Oral, CCF A)

ØChuan-Xiang Li, Ting-Kun Yan, Xin Luo, Liqiang Nie, and Xin-Shun Xu. Supervised robust discrete multimodal hashing for cross-media retrieval. IEEE Transactions on Multimedia, 2019. (SCI, CCF B, IF=5.452)

ØZhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang, and Xin-Shun Xu. SCRATCH: A scalable discrete matrix factorization hashing framework for cross-modal retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 2019. ( SCI, CCF B,  IF=4.046)

ØYongxin Wang, Xin Luo, Huaxiang Zhang, and Xin-Shun Xu. Sparse manifold embedded hashing for multimedia retrieval. IEEE International Conference on Data Engineering Workshops, 2019. (ICDE Workshop)

ØWan-Jin Yu, Zhen-Duo Chen, Xin Luo, Wu Liu, and Xin-Shun Xu. DELTA:A deep dual-stream network for multi-label image classification.Pattern Recognition, 2019, 91, 322-331. (SCI, CCF B, IF=5.898) 


In the year of 2018:

ØChuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu. SCRATCH: A scalable discrete matrix factorization hashing for cross-modal retrieval.In proceedings of the ACM International Conference on Multimedia(MM). 2018, 1-9.(Full, Poster, CCF A) [code is avaiable]

ØXin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu. SDMCH: Supervised discrete manifold-embedded cross-modal hashing. In proceedings of the International Joint Conference on Artificial Intelligence(IJCAI). 2018,2518-2524.(Full, Oral, CCF A)

ØXin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu. Fast scalable supervised hashing. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR).2018,735-744.(Full, Oral, CCF A)  [code is avaiable]

ØYe Wu, Xin Luo, Xin-Shun Xu, Shanqing Guo, and Yuliang Shi. Dictionary learning based supervised discrete hashing for cross-media retrieval. ACM International Conference on Multimedia Retrieval (ICMR'18), 2018. (Full, Spotlight, CCF B)

ØXin Luo, Peng-Fei Zhang, Ye Wu, Zhen-Duo Chen, Hua-Junjie Huang, and Xin-Shun Xu. Asymmetric discrete cross-modal hashing. ACM International Conference on Multimedia Retrieval (ICMR'18), 2018. (Full, Spotlight, CCF B)

ØXin Luo, Ye Wu, Wan-Jin Yu, and Xin-Shun Xu. Class consistent hashing for fast web data searching. World Wide Web Journal (WWWJ), 2018. (SCI, CCF B, IF=1.77)

ØXin Luo, Ye Wu, Xin-Shun Xu. Scalable supervised discrete hashing for large-scale search.In proceedings of the World Wide Web Conference (WWW). 2018,1603-1612. (Full, Oral, CCF A) 


In the year of 2017:

ØXin Luo, Zhen-Duo Chen, Gao-Yuan Du, and Xin-Shun Xu. Improving hashing by leveraging multiple layers of deep neural networks. International Conference on Neural Information Processing (ICONIP'17), 2017. (Full, Oral, CCF C)

ØKuikui Wang, Lu Yang, Gongping Yang, Xin Luo, Kun Su, and Yilong Yin. Finger vein image retrieval via coding scale-varied superpixel feature. ACM International Conference on Multimedia Retrieval (ICMR'17), 2017. (Full, Spotlight, CCF B) 



山东省人工智能科技进步奖一等奖

山东大学优秀本科毕业论文(设计)指导奖

山东省第九届“超星杯”高校青年教师教学比赛三等奖

山东大学教师教学创新大赛二等奖

山东大学青年教学能手、山东大学青年教师教学比赛一等奖

山东大学课程思政教学名师、山东大学课程思政教学团队

山东大学软件学院青年教学能手、山东大学软件学院青年教师教学比赛一等奖

山东大学优秀班主任

ACM新星奖(济南分会)

山东省人工智能学会优秀博士论文

山东大学“同屏在线、共振育人”在线直播教学比赛三等奖

ACM优秀博士论文(济南分会)

山东大学校长奖学金

山东省优秀毕业生

山东大学研究生标兵

山东大学研究生优秀学术成果奖

国家奖学金



  • 教育经历Education Background
  • 工作经历Work Experience
    2019.8 至今
    • 山东大学
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
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团队成员Research Group

团队名称:山东大学机器学习与媒体分析实验室(MIMA)

团队介绍:http://mima.sdu.edu.cn/

    山东大学机器学习与媒体分析实验室(MIMA)成立于2012年,隶属于 山东大学 软件学院。目前研究组有教师5人,博士后2人,学生35人,其负责人是许信顺教授。

    MIMA的含义是 "Machine Intelligence & Media Analysis",即“机器学习与媒体分析”。目前,MIMA的主要研究兴趣包括机器学习、信息检索、数据挖掘、机器视觉、模式识别、智能计算等领域。其中,具体的研究内容包括:集成学习、半监督学习、多示例学习,多标记学习、多示例与多标记学习、哈希学习、深度学习、降维与特征选择、神经网络、文本的分类和聚类、web的分类和聚类、图像与视频的内容分析与理解、基于内容的图像检索、 基于内容的视频检索、大数据分析等。

    实验室学术氛围浓厚,就业面广,毕业学生多人赴国外大学继续深造或者在知名企业、机关事业等单位就职。实验室每年招收博士后1-2人,博士生1-2人,硕士生6-12人,欢迎软件、计算机、人工智能、数学和信息等相关专业的同学加入。