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罗笑南 正高级 (luoxn@guet.edu.cn)    

计算机与信息安全学院    

数字家庭技术、移动计算、图形图象处理及三维仿真CAD技术。;医学图像处理,水下机器人;;

个人简介

罗笑南,男,1991年获大连理工大学计算数学专业博士学位,1992年到1995年于西安电子科技大学任博士后研究员,2004年获国家科技进步二等奖,2005年获国家杰出青年科学基金,2006年获海外杰出青年科学基金中方负责人,享受国务院颁发的政府特殊津贴。

现为桂林电子科技大学教授,博士生导师,桂林电子科技大学学术委员会委员,国家数字家庭工程技术研究中心主任,中山大学学术委员会委员,中国电子工业标准化技术协会数字家庭互动应用标准工作委员会主任,广东省数字家庭标准委员会主任。

主要研究方向为数字家庭技术,图形图象处理,三维仿真CAD技术,水下三维全景感知技术,智慧医疗,智能诊断等。
 
教育背景

1992.01-1995.03 西安电子科技大学 电子学与通讯 博士后研究员

1988.09-1991.12 大连理工大学 计算数学 理学博士

1983.09-1985.12 西安电子科技大学 应用数学 理学硕士

1979.09-1983.07 江西师范大学 计算数学 理学学士

工作经历

2016.07-至今  桂林电子科技大学计算机与信息安全学院教授

2011.01-至今  国家数字家庭工程技术研究中心主任

2008.06-至今  中国电子工业标准化技术协会数字家庭互动应用标准工作委员会主任

1995.03-至今  中山大学任副教授、教授、博导

1992.01-1995.03  西安电子科技大学电子学与通讯进行博士后研究工作

1987.09-1989.03  Apollo公司的美国、香港CGM GroupResearch fellow

1986.01-1987.09  西安电子科技大学计算机系任助教

主要荣誉

2021   八桂人工智能科学技术发明二等奖   

2019   广西八桂学者

2019   广西第一批高层次人才(B层次)

2013   一种数字家庭网络多任务并发执行装置的并发执行方法 中国专利优秀奖

2011   使数字家庭网络的终端可播放多种媒体格式的装置与方法 中国专利优秀奖

2010   应用于家庭网络的中间件及设备互联互操作方法 中国专利优秀奖

2008   基于3C融合的学习内容频点服务及学习机 广东省科技进步奖一等奖

2007   广东省丁颖科技奖

2005   流程控制与多媒体传输关键技术应用系统 广东省科技进步奖二等奖

2005  “掌讯通移动数据终端的软件集成系统 15届全国发明 展览会金奖

2004  “掌讯通移动数据终端的软件集成系统 国家科技进步二等奖

2003  “掌讯通移动数据终端的软件集成系统 教育部提名国家科技进步一等奖

2003 “Garment's pressure sensation (1): subjective assessment and predictability for the sensation”

“Garment's pressure sensation (2): the psychophysical mechanism for the sensation”英国Literati Club 2003年杰出研究论文

2001   计算机辅助服装设计与纺织服装业信息化集成系统 中国高校科技进步奖一等奖

学术活动

[1]     香港理工大学兼职博导

[2]     合肥工业大学、澳门科技大学兼职教授

[3]     Winston Salem State University(USA)客座研究员

[4]     《数学研究与应用》期刊编委

[5]     《Journal of Computational Information Systems》(USA)期刊编委

[6]     《Journal of Information and Computational Science》(USA)期刊编委

[7]     International Conference on Digital Home’2020, Dalian, 大会主席

[8]     International Conference on Digital Home’2018, Guilin, 大会主席

[9]     International Conference on Digital Home’2016, Guangzhou, 大会主席

[10]   International Conference on Digital Home’2014, Nov. 28-30, 2014, Guangzhou, 大会主席;

[11]   International Conference on Digital Home’2012, Nov. 23-25, 2012, Guangzhou, 大会主席;

[12]   International Conference on Digital Life’2010, Dec. 10-12, 2010, Guangzhou, 大会主席;

[13]   International Conference on Digital Life’2008, jointly with DEA’2008, Nov. 7-10, 2008, Guangzhou, 共同主席;

[14]   Sports Medicine And Rehabilitation Therapy-TBIS 2008, August 14-16, 2008, Hong Kong, 共同主席;

[15]   International e-Conference of Computer Science,session: Mathematical Modeling and Computer Simulation28 June – 8 July 2007 Part I, 1-8 December 2007 Part II, 组织者.

[16]   Nansha Science and Technology Forum, February 26-27, 2006, Nansha, Guangzhou, P. R. China共同主席。


 
教学信息

主讲过研究生、本科生课程计算机辅助几何图形设计” 计算机图形学数字通信技术软件能力成熟度模型、“智能科学与技术前沿讲座”等课程近20门。

培养硕士研究生245人,其中224人已获学位;培养博士生55人,其中38人已获博士学位;指导博士后14人。

主要论文

[1]     Wang, X., Lan, R., Wang, H., Liu, Z., & Xiaonan Luo (2021). Fine-grained correlation analysis for medical image retrieval. Computers & Electrical Engineering, 90, 106992.

[2]     Han, D., Pan, J., Xie, C., Zhao, Xiaonan Luo, X., & Chen, W. (2021). A Visual Analytics Approach for Structural Differences Among Graphs via Deep Learning. IEEE Computer Graphics and Applications, 41(5), 18-31.

[3]     Deng, Z., Ma, F., Lan, R., Huang, W., & Xiaonan Luo (2021). A two-stage Chinese text summarization algorithm using keyword information and adversarial learning. Neurocomputing, 425, 117-126.

[4]     Pang, C., Wang, W., Lan, R., Shi, Z., & Xiaonan Luo (2021). Bilinear pyramid network for flower species categorization. Multimedia Tools and Applications, 80(1), 215-225.

[5]     Lan, R., Zou, H., Pang, C., Zhong, Y., Liu, Z., & Xiaonan Luo (2021). Image denoising via deep residual convolutional neural networks. Signal, Image and Video Processing, 15(1), 1-8.

[6]     Lan, R., Sun, L., Liu, Z., Lu, H., Su, Z., Pang, C., & Xiaonan Luo (2020). Cascading and enhanced residual networks for accurate single-image super-resolution. IEEE transactions on cybernetics, 51(1), 115-125.

[7]     Lan, R., Sun, L., Liu, Z., Lu, H., Pang, C., & Xiaonan Luo (2020). Madnet: A fast and lightweight network for single-image super resolution. IEEE transactions on cybernetics, 51(3), 1443-1453.

[8]     Wang, H., Zhang, L., Wang, Z., & Xiaonan Luo (2019). Pals: high-accuracy pedestrian localization with fusion of smartphone acoustics and PDR. In IPIN (Short Papers/Work-in-Progress Papers) (pp. 291-298).

[9]     Zou, H., Lan, R., Zhong, Y., Liu, Z., & Xiaonan Luo (2019, September). EDCNN: A novel network for image denoising. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 1129-1133). IEEE.

[10]   Lan, R., Zhou, Y., Liu, Z., & Xiaonan Luo (2018). Prior knowledge-based probabilistic collaborative representation for visual recognition. IEEE transactions on cybernetics, 50(4), 1498-1508.

[11]   Wang, X., Gu, T., Luo, X., Cai, Xiaonan Luo T., Chen, W., ... & Chen, W. (2018). A user study on the capability of three geo-based features in analyzing and locating trajectories. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3375-3385.

[12]   Lan, R., Wang, H., Zhong, S., Liu, Z., & Xiaonan Luo (2018). An integrated scattering feature with application to medical image retrieval. Computers & Electrical Engineering, 69, 669-675.

[13]   He, J., Lan, R., Wang, S., & Xiaonan Luo (2017, November). An Integrated Chaotic System with Application to Image Encryption. In International Conference on Neural Information Processing (pp. 837-847). Springer, Cham.

[14]   Su, Z., Zeng, K., Li, H., & Xiaonan Luo (2017). A Dual-Domain Perceptual Framework for Generating Visual Inconspicuous Counterparts. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 13(2), 1-21.

[15]   Chen, T., Lin, L., Liu, L., Xiaonan Luo, & Li, X. (2016). Disc: Deep image saliency computing via progressive representation learning. IEEE transactions on neural networks and learning systems, 27(6), 1135-1149.

[16]   Zhao, B., Xu, S., Lin, S., Xiaonan Luo, & Duan, L. (2016). A new visual navigation system for exploring biomedical Open Educational Resource (OER) videos. Journal of the American Medical Informatics Association, 23(e1), e34-e41.

[17]   Li, H., Wu, H., Lin, S., Lin, L., Xiaonan Luo, & Izquierdo, E. (2016, November). Boosting zero-shot image classification via pairwise relationship learning. In Asian Conference on Computer Vision (pp. 85-99). Springer, Cham.

[18]   Kang, Y., Xu, C., Lin, S., Xu, S., Xiaonan Luo, & Chen, Q. (2015). Component segmentation of sketches used in 3D model retrieval. In ACM SIGGRAPH 2015 Posters (pp. 1-1).

[19]   Zhan, J., Wu, H., Zhang, H., & Xiaonan Luo (2015). Cascaded probabilistic tracking with supervised dictionary learning. Signal Processing: Image Communication, 39, 212-225.

[20]   Li, H., Li, D., & Xiaonan Luo (2014, November). Bap: Bimodal attribute prediction for zero-shot image categorization. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 1013-1016).

[21]   Zhuo Su, Kun Zeng*, Li Liu, Bo Li, Xiaonan Luo, Corruptive Artifacts Suppression for Example-based Color Transfer, IEEE Transactions on Multimedia, Vol. 16, No. 4, 2014, 988-999  (SCI AJ8LN).

[22]   Yuhua Li, Songhua Xu*, Xiaonan Luo*, Shujing Lin, A New Algorithm for Product Image Search Based on Salient Edge Characterization, Journal of the American Society for Information Science and Technology, 65(12), 2014, 2534~2551 (SCI AU2IO).

[23]   Kaishun Wu, Haochao Li, Lu Wang, Youwen Yi, Yunhuai Liu, Dihu Chen, Xiaonan Luo, Qian Zhang, Lionel M. Ni, hJam: Attachment transmission in WLANs, IEEE Transactions on Mobile Computing, 12(12), Dec. 2013, 2334~2345 (SCI 282TJ).

[24]   Kaishun Wu, Jiang Xiao, Youwen Yi, Dihu Chen, Xiaonan Luo, Lionel M. Ni, CSI-based indoor localization, IEEE Transactions on Parallel and Distributed Systems, 24(7), July 2013, 1300~1309  (SCI 154ME).

[25]   Songhua Xu*, Jianqiang Sheng*, Xiaonan Luo, A New Algorithm for Context-Based Biomedical Diagram, Bioinformatics, Vol. 29,  No. 6, 2013, 780~789 (SCI 108DA).

[26]   Zhuo Su, Xiaonan Luo, Zhengjie Deng, Yun Liang, Zhen Ji, Edge-Preserving Texture Suppression Filter Based on Joint Filtering Schemes, IEEE Transactions on Multimedia, Vol. 15, No. 3, April 2013, 535~548 (SCI).

[27]   Jianqiang Sheng, Songhua Xu,* Xiaonan Luo*, Categorizing biomedicine images using novel image features and sparse coding representation, BMC Medical Genomics, 6(Suppl 3):S8, 2013, 6~13 (SCI 286CJ).

[28]   Zhuo Su, Daiguo Deng, Xue Yang, Xiaonan Luo,  Color transfer based on multiscale edge preserving decomposition and color distribution mapping, ACM International Conference on Multimedia 2012, Oct. 29-Nov. 2, 2012, Nara, Japan.

[29]   Liang, Y., Liu, Y. J., Luo, X. N., Xie, L., & Fu, X. (2012). Optimal-scaling-factor assignment for patch-wise image retargeting. IEEE computer graphics and applications, 33(5), 68-78.

[30]   Hefeng Wu, Guanbin Li, Zhuo Su, Xiaonan Luo*, Onlline boosted tracking with discriminative feature selection and scale adaptation, International Conference on Image Processing 2012 (ICIP2012), Sept. 30- Oct. 3, 2012, Orlando, USA.

[31]   Yun Liang*, Zhuo Su, Xiaonan Luo*, Patchwise scaling method for content-aware image resizing, Signal Processing, 92 (2012), 1243~1257 (SCI 891GC).

[32]   Zhuo Su, Xiaonan Luo, Zhengjie Deng, Local oscillation suppression based on joint Bilateral Filtering framework, SIGGRAPH Asia 2011 Technical Sketches & Posters  Program, Hong Kong, Dec. 12-15, 2011.

[33]   Xiaonan Luo, Zhongming Zhao, Zhuo Su*, Yun Liang, Multiple-cue saliency measurement and optimized image composition for image retargeting, Journal of Computational and Applied Mathematics, Vol. 236, Iss. 5, 1 Oct. 2011, 704~713 ( SCI 857KJ).

[34]   Zheng Li, David Levin, Zhengjie Deng, Dingyuan Liu, Xiaonan Luo, Cage-free local deformations using Green Coordinates, Computer Graphics International 2010, June 8-11, Singapore,Visual Computer, Vol. 26, No. 6-8, Jun. 2010 , 1027~1036   (SCI 602JQ).

[35]   Kai-Shun Wu, Di-Hu Chen, Xiao-Nan Luo, He-Zhou Wang, Phase response of omnidirectional reflection one-dimensional photonic crystals and defect modes, Optics Communications, 283(2010), 4911~4915 (SCI 682XO)

[36]   HE HaiTao, LUO XiaoNan, MA FeiTeng, CHE ChunHui, WANG JianMin, Network traffic classification based on ensemble learning and co-training, Science in China Series F: Information Sciences, Vol.52, No.2, Feb.2009, 338~346 (SCI 397ZZ).

[37]   Ruotian Ling, Xiaonan Luo, Zhongxian Chen, Ternary butter?y subdivision, Computers & Graphics, Vol.33, Iss. 4, 2009, 566~575 (SCI 504PJ).

[38]   Xiaonan Luo, Guifeng Zheng, Progressive meshes transmission over a wired-to-wireless network, ACM Journal of Wireless Networks, Vol.14, No.1, Feb. 2008, 47~53 (DOI 10.1007/s11276-006-7603-1, SCI 248YQ, EI 080311034468).

[39]    Aihua Mao, Yi Li, Xiaonan Luo, Ruomei Wang, Shuxiao Wang, A CAD system for multi-style thermal functional design of clothing, Computer-Aided-Design, Vol. 40, Iss. 9, Sept. 2008, 916~930 (SCI 374LI, EI 083911597455)

[40]   Shujin Lin, Xiaonan Luo*, Fang You, Zheng Li, Deducing interpolating subdivision schemes from approximating subdivision schemes, Siggraph 2008, ACM Transactions on Graphics, Vol. 27, No. 5 (SCI 458BG, 2008 ACM 0730-0301/2008/05-ART146 DOI 10.1145/1409060.1409099).

[41]   Zhongxian Chen, Xiaonan Luo*, Le Tan, Binghong Ye, Jiapeng Chen, Progressive interpolation based on Catmull-Clark subdivision surfaces, Pacific Graphic 2008, Computer Graphics Forum, Vol. 27, No. 7, 2008,1823~1827  (SCI 397ME).

[42]   Zhuo Shi, Shujin Lin, Xiaonan Luo, Renhong Wang, The interpolatory loop scheme and the mixed loop scheme, Pacific Graphic 2008, Computer Grahics Forum, Vol. 27, No. 7, 2008, 1829~1835 (SCI 397ME).

[43]   Shujin Lin, Xiaonan Luo, A unified interpolatory and approximation sqrt-3 subdivision scheme, EUROGRAPHICS 2007, Prague, Czech, Sept. 3-7, 2007.

[44]   Xiaonan Luo, Wenbang Hou, Yi Li, A fuzzy-neutral network model to predict clothing thermal comfort, Computers and Mathematics with Applications, Vol. 53, Iss. 12, June 2007, 1840~1846.(SCI 190OT, EI 072410648754).

[45]   Li Yi, Mao Aihua, Wang Ruomei, Luo Xiaonan et al., P-smart—A virtual system for clothing thermal functional design, Computer-Aided Designm, Vol. 38, No. 7, July 2006, 726~739(SCI 077UN ).

[46]   J.-H. Zhang, Q. Zhang, B. Li, X.-N. Luo and W.-W. Zhu, Energy efficient routing in mobile ad-hoc networks: Mobility assisted case, IEEE Transactions on Vehicular Technology, 55(1), 2006, 369~379 (SCI 012FN, EI06079698504).

[47]   Xiaonan Luo, Qingzhen Xu, Fourth-order algorithm for solving 2D transient heat and moisture transfer simulation through fabric, Applied Mathematics and Computation, Vol. 182, Iss. 2, Nov. 2006,  1542~1555 (SCI 122CE,EI 064910288613).

[48]   Xiaonan Luo, Huimin Luo, A computing model of pressure distribution from tight underwear, Journal of Computational and Applied Mathematics, Vol. 195, Iss. 1-2, Oct. 15, 2006, 106~112 (SCI 066VI, ISTP, EI 06269965439).

[49]   Xiaonan Luo, Qingzhen Xu, A new numerical implementation on 2D heat and moisture transfer through fabric, Applied Mathematics and Computation, Vol. 174, Iss. 2, Mar. 15, 2006, 1135~1150 (SCI 027HY, EI 06109743877).

[50]   Fang You, Jianmin Wang, Xiaonan Luo, Garment‘s pressure sensation (1): Subjective assessment and predictability for the sensation, The International Journal of Clothing Science and Technology, 14(5) , 2002 (EI, TOC).

学术著作

[1]     Xiaonan Luo, Zhongxuan Luo, Lionel M. Ni, Ruomei Wang, Proceeding of 2014 International Conference on Digital Home, Piscataway, NJ, IEEE

[2]     Xiaonan Luo, Zhongxuan Luo, Lionel M. Ni, Ruomei Wang, Proceeding of the Fourth International Conference on Digital Home, Piscataway, NJ, IEEE

[3]     罗笑南,潘志庚,纪庆革,高成英,主编,数字娱乐与艺术进展-第三届全国数字娱乐与艺术暨数字家庭交互应用技术与设计学术研讨会论文集,电子工业出版社

[4]     罗笑南,王若梅,计算机图形学,中山大学出版社

[5]     王若梅,罗笑南,数据结构与算法,中山大学出版社

[6]     罗笑南MIT硕士研究生系列教材,澳门科技大学出版社


科研项目

[1]     水下主从式高动态范围三维全景感知系统与探测设备 国家重大科研仪器研制项目 2021-2025 在研

[2]     几何观点下的深度学习可解释性的关机理论与模型构建 国家自然科学基金重点项目子课题 2020-2024 在研

[3]     类人智能、智慧模型研究 科技部2030 -“新一代人工智能重大项目子课题 2020-2024 在研

[4]     基于医学图像三维重建及可视化的递归图方法 面上项目 2018-2021 在研

[5]     三维声源的感知检测方法及应用 广西科技基地和人才专项 2018-2020 结题

[6]     三维位置感知关键技术及智能微代理应用示范 广西创新驱动发展专项 2018-2020 结题

[7]     多功能照明手机灯及其普适信息显示技术的研究与开发 广西重点研发计划 2017-2020 结题

[8]     智能医疗信息的检索分析及三维重建 重点国际(地区)合作研究项目 2014-2018 结题

[9]     可视媒体智能处理理论和传输方法研究 NSFC-广东联合基金 2008-2011 结题

[10]   计算机在新应用领域中的基础研究 国家杰出青年科学基金 2006-2009 结题

[11]   新一代几何系统中部分关键理论与技术 青年科学基金项目 1994-1996 结题


知识产权

[1]     罗笑南、袁媛、李致昊、朱闽峰、徐莹、陈为, 一种基于流可视化的城市移动数据分析方法,发明专利

[2]     王斛成、罗笑南、钟艳如, 一种基于优化卡尔曼滤波的非视距室内定位方法,发明专利

[3]     钟艳如、郭秀艳、罗笑南、李芳、刘斯韵、李一媛, 一种室内语义地图时空关系的抽取方法,发明专利

[4]     钟艳如、谢庆博、袁智翔、赵蕾先、罗笑南, 一种基于位置信息的伙伴关系分析方法,发明专利

[5]     钟艳如、袁智翔、赵帅杰、高宏、罗笑南, 一种基于WIFIPDR融合的室内定位方法,发明专利

[6]     罗笑南,陶训芳,李冀,孙波,秦子钦,黄惠文,唐文博,李猷兴, 一种基于掌纹掌静脉身份识别方法的车载追踪器,实用新型

[7]     罗笑南 , 孙波 , 李冀 , 陶训芳, 基于手掌静脉识别的门禁系统,实用新型

联系信息

邮箱:luoxn@guet.edu.cn

地址:广西桂林市桂林电子科技大学金鸡岭校区图书馆308

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