李锡荣
副教授、博士生导师。分别于2005年、2007年获清华大学计算机专业本科、硕士学位，2012年获荷兰阿姆斯特丹大学计算机博士学位。同年5月份加入中国人民大学数据工程与知识工程教育部重点实验室，任讲师。2016年晋升副教授，2017年晋升博导，并入选中国人民大学首批杰出支持计划。主要研究领域是人工智能与媒体计算（AI and Media Computing）。在相关领域主要国际会议和期刊发表论文 60 余篇，Google scholar被引用数 2400 多次，H指数25。获 2017中国多媒体大会优秀论文奖, ACM Multimedia 2016 Grand Challenge Award, PCM 2016 Best Paper Runner-up, ACM SIGMM 2013年杰出博士论文奖、IEEE Transactions on Multimedia 2012年度期刊最佳论文奖、2011年国家优秀自费留学生奖学金、2010年国际图像与视频检索会议 CIVR 最佳论文奖。中国计算机学会会员、多媒体专委会委员，国际期刊 Multimedia Systems 编委。
详细>>
个人主页：http://lixirong.net/
电子邮箱：名下划线姓@126.com

详细资料

教育经历
2007.08 - 2012.03, 博士, 荷兰阿姆斯特丹大学 Intelligent Systems Lab Amsterdam
2005.09 - 2007.06, 硕士, 清华大学 计算机系
2001.09 - 2005.07, 本科, 清华大学 计算机系

工作经历
2016.08 - 至今, 副教授，中国人民大学
2012.05 - 2016.08, 讲师, 中国人民大学

研究方向
图像/视频搜索
图像自然语言理解
跨媒体表示学习
基于深度学习的医学影像分析
学术报告／讲座：
+ 2019.11 Learn to Represent Queries and Videos for Ad-hoc Video Search, TRECVID 2019 workshop, Gaithersburg
+ 2019.10 Deep Learning for Video Retrieval by Natural Language, Keynote talk at the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia
+ 2019.09 眼科影像理解的人工智能方法，浙江工商大学，杭州
+ 2019.08 面向眼底影像的深度学习技术，2019 北京眼科大会（协和眼科论坛），北京
+ 2019.04 Dual Encoding for Zero-Example Video Retrieval, 第十四届图像图形技术与应用学术会议, 北京
+ 2019.01 Deep Models for Zero-Example Video Retrieval, ITI-CERTH, Greece
+ 2018.11 Recent Advances in Zero-Example Video Retrieval, YOCSEF成都“智能视觉前沿发展技术报告会”，成都
+ 2018.11 Word2VisualVec++ for Ad-hoc Video Search, TRECVID 2018 workshop, Gaithersburg
+ 2018.06 人工智能与影像识别，中央财经大学文化与传媒学院，北京
+ 2018.05 人工智能在眼科的应用, 眼科E20新设备新技术高峰论坛, 杭州
+ 2018.04 基于深度学习的图像内容识别，CFDA医疗器械技术审评中心，北京
+ 2017.11 Multi-Scale Word2VisualVec for Video Caption Retrieval, TRECVID 2017 workshop, Gaithersburg
+ 2017.10 人工智能机遇与挑战: 以影像内容理解为例, 2017眼科影像与信息高峰论坛，上海
+ 2016.11 Word2VisualVec for Video-To-Text Matching and Ranking, TRECVID 2016 workshop，Gaithersburg
+ 2016.10 Tag Embeddings for Multimedia Retrieval and Description, SIGMM Raising Stars Symposium 2016, Amsterdam
+ 2016.04 图片句子生成的新进展, 北京大学语言、逻辑、认知及计算论坛 (LLCC), 北京

讲授课程
1. 模式识别
2. 图像内容分析 (数字图像处理)
3. 实用Python编程

对学生的培养要求
招生要求：
+ 踏实勤奋
+ 有较强的求知欲
+ 具备C++ / Python编程能力
+ 具备较强的英文阅读、写作和表达能力
+ 保研的同学, 需通过人大信息学院优秀大学生夏令营选拔

科研项目
[8] 北京市自然科学基金 (面上项目)：面向常见眼底病识别的多模态可解释深度学习研究，2020.01-2022.12 (No. **)
[7] 中国人民大学决策咨询及预研委托项目：多媒体内容的中文语言自动描述，2018.01-2020.12 (No. 18XNLG19)
[6] 国家自然科学基金（面上项目）：面向中文的看图造句若干关键问题研究, 2017.01-2020.12 (No. **)
[5] 上海市智能信息处理重点实验室开放基金：基于相关样本的图像标签相关性计算研究，2014.01-2015.12 (No. IIPL-2013-002)
[4] 国家自然科学基金（青年基金项目）: 基于网上弱标注数据的个性化图像标注研究，2014.01-2016.12 (No. **)
[3] 教育部高等学校博士点专项科研基金(新教师类): 基于分类的社会化标签与图像相关度估计方法研究，2014.01-2016.12 (No. 20**6)
[2] 教育部留学回国人员科研启动基金项目: 社会网上图像检索若干关键问题研究，2014.01-2015.12
[1] 中国人民大学新教师启动金项目: 基于社会化媒体的图像检索新方法研究, 2013.01-2015.12 (No. 13XNLF05)

科研成果
*** 论文 ***
[38] Zhengxiong Jia, Xirong Li (2020): iCap: Interactive Image Captioning with Predictive Text. In: ACM International Conference on Multimedia Retrieval (ICMR), 2020
[37] Yutong Liu, Jingyuan Yang, Yang Zhou, Weisen Wang, Jianchun Zhao, Weihong Yu, Dingding Zhang, Dayong Ding, Xirong Li, Youxin Chen (2020): Prediction of OCT Images of Short-term Response to Anti-VEGF Treatment for Neovascular Age-related Macular Degeneration using Generative Adversarial Network. In: British Journal of Ophthalmology, 2020
[36] Jianfeng Dong, Xun Wang, Leimin Zhang, Chaoxi Xu, Gang Yang, Xirong Li (2019): Feature Re-Learning with Data Augmentation for Video Relevance Prediction. In: IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
[35] Xirong Li, Chaoxi Xu, Gang Yang, Zhineng Chen, Jianfeng Dong (2019): W2VV++: Fully Deep Learning for Ad-hoc Video Search. In: ACM Multimedia, 2019
[34] Zhuoya Yang, Xirong Li, Xixi He, Dayong Ding, Yanting Wang, Fangfang Dai, Xuemin Jin (2019): Joint Localization of Optic Disc and Fovea in Ultra-Widefield Fundus Images. The 10th International Workshop on Machine Learning in Medical Imaging (MLMI), 2019
[33] Chaoxi Xu, Xiangjia Zhu, Wenwen He, Yi Lu, Xixi He, Zongjiang Shang, Jun Wu, Keke Zhang, Yinglei Zhang, Xianfang Rong, Zhennan Zhao, Lei Cai, Dayong Ding, Xirong Li (2019): Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 (early accept)
[32] Weisen Wang, Zhiyan Xu, Weihong Yu, Jianchun Zhao, Jingyuan Yang, Feng He, Zhikun Yang, Di Chen, Dayong Ding, Youxin Chen, Xirong Li (2019): Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 (early accept)
[31] Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, Xun Wang (2019): Dual Encoding for Zero-Example Video Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[30] Xirong Li, Chaoxi Xu, Xiaoxu Wang, Weiyu Lan, Zhengxiong Jia, Gang Yang, Jieping Xu (2019): COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval. IEEE Transactions on Multimedia (TMM), 2019
[29] 蓝玮毓, 王晓旭, 杨刚, 李锡荣 (2019): 标签增强的中文看图造句, 计算机学报, 2019
[28] Xin Lai, Xirong Li, Rui Qian, Dayong Ding, Jun Wu, Jieping Xu (2019): Four Models for Automatic Recognition of Left and Right Eye in Fundus Images. the 25th International Conference on MultiMedia Modeling (MMM), 2019
[27] Qijie Wei, Xirong Li, Hao Wang, Dayong Ding, Weihong Yu, Youxin Chen (2018): Laser Scar Detection in Fundus Images using Convolutional Neural Networks. Asian Conference on Computer Vision (ACCV), 2018
[26] Xirong Li, Jianfeng Dong, Chaoxi Xu, Jing Cao, Xun Wang, Gang Yang (2018): Renmin University of China and Zhejiang Gongshang University at TRECVID 2018: Deep Cross-Modal Embeddings for Video-Text Retrieval. TRECVID 2018 Workshop, 2018
[25] Jianfeng Dong, Xirong Li, Chaoxi Xu, Gang Yang, Xun Wang, Feature Re-Learning with Data Augmentation for Content-based Video Recommendation, ACM Multimedia, 2018 (Grand challenge paper)
[24] Gang Yang, Jinlu Liu, Jieping Xu, Xirong Li, Dissimilarity Representation Learning for Generalized Zero-Shot Recognition, ACM Multimedia, 2018
[23] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi (2018): Deep Text Classification Can be Fooled. IJCAI, 2018
[22] Gang Yang, Jinlu Liu, Xirong Li (2018): Imagination Based Sample Construction for Zero-Shot Learning. SIGIR, 2018
[21] Jianfeng Dong, Xirong Li, Cees G. M. Snoek (2018): Predicting Visual Features from Text for Image and Video Caption Retrieval. IEEE Transactions on Multimedia (TMM), 2018
[20] Jianfeng Dong, Xirong Li, Duanqing Xu (2018): Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild. IEEE Transactions on Multimedia (TMM), 2018
[19] Cees G. M. Snoek, Xirong Li, Chaoxi Xu, Dennis C. Koelma (2017): University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video. TRECVID Workshop, 2017
[18] Weiyu Lan, Xirong Li, Jianfeng Dong (2017): Fluency-Guided Cross-Lingual Image Captioning. ACM Multimedia, 2017
[17] Qijie Wei, Xiaoxu Wang, Xirong Li (2017): Harvesting Deep Models for Cross-Lingual Image Annotation. CBMI, 2017
[16] Xirong Li (2017): Tag Relevance Fusion for Social Image Retrieval. In: Multimedia Systems, 23 (1), pp. 29–40, 2017
[15] Cees G. M. Snoek, Jianfeng Dong, Xirong Li, Xiaoxu Wang, Qijie Wei, Weiyu Lan, Efstratios Gavves, Noureldien Hussein, Dennis C. Koelma, Arnold W. M. Smeulders (2016): University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video. TRECVID Workshop, 2016
[14] Jianfeng Dong, Xirong Li, Weiyu Lan, Yujia Huo, Cees G. M. Snoek (2016): Early Embedding and Late Reranking for Video Captioning. ACM Multimedia, 2016
[13] Xirong Li, Yujia Huo, Qin Jin, Jieping Xu (2016): Detecting Violence in Video using Subclasses. ACM Multimedia, 2016
[12] Xirong Li, Qin Jin (2016): Improving Image Captioning by Concept-based Sentence Reranking. PCM, 2016
[11] Masoud Mazloom, Xirong Li, Cees G. M. Snoek (2016): TagBook: A Semantic Video Representation Without Supervision for Event Detection. In: IEEE Transactions on Multimedia (TMM), 18 (7), pp. 1378-1388, 2016
[10] Xirong Li, Weiyu Lan, Jianfeng Dong, Hailong Liu (2016): Adding Chinese Captions to Images. ICMR, 2016
[9] Xirong Li, Tiberio Uricchio, Lamberto Ballan, Marco Bertini, Cees G. M. Snoek, Alberto Del Bimbo (2016): Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval. ACM Computing Surveys (CSUR), 49 (1), pp. 14:1-14:39, 2016
[8] Xirong Li, Tiberio Uricchio, Lamberto Ballan, Marco Bertini, Cees G. M. Snoek, Alberto Del Bimbo (2015): Image Tag Assignment, Refinement and Retrieval. ACM Multimedia, 2015
[7] Jianfeng Dong, Xirong Li, Shuai Liao, Jieping Xu, Duanqing Xu, Xiaoyong Du (2015): Image Retrieval by Cross-Media Relevance Fusion. ACM Multimedia, 2015
[6] Qin Jin, Xirong Li, Haibing Cao, Yujia Huo, Shuai Liao, Gang Yang, Jieping Xu (2015): RUCMM at MediaEval 2015 Affective Impact of Movies Task: Fusion of Audio and Visual Cues. In: Working Notes Proceedings of the MediaEval 2015 Workshop, 2015
[5] Xirong Li, Qin Jin, Shuai Liao, Junwei Liang, Xixi He, Yujia Huo, Weiyu Lan, Bin Xiao, Yanxiong Lu, Jieping Xu (2015): RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation. CLEF (Working Notes), 2015
[4] Xirong Li, Shuai Liao, Weiyu Lan, Xiaoyong Du, Gang Yang (2015): Zero-shot Image Tagging by Hierarchical Semantic Embedding. SIGIR, 2015
[3] Shuai Liao, Xirong Li, Heng Tao Shen, Yang Yang, Xiaoyong Du (2015): Tag Features for Geo-Aware Image Classification. In: IEEE Transactions on Multimedia (TMM), 17 (7), pp. 1058-1067, 2015
[2] Junwei Liang, Qin Jin, Xixi He, Gang Yang, Jieping Xu, Xirong Li (2015): Detecting semantic concepts in consumer videos using audio. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2279–2283, 2015
[1] Svetlana Kordumova, Xirong Li, Cees G.M. Snoek (2015): Best Practices for Learning Video Concept Detectors from Social Media Examples. In: Multimedia Tools and Applications (MTAP), 74 (4), pp. 1291–1315, 2015
*** 国际评测 ***
[7] Winner of the ACM Multimedia 2018 Hulu Content-based Video Relevance Prediction Challenge
[6] Top performer of the TRECVID 2018 Ad-hoc Video Search (AVS) task
[5] Top performer of the TRECVID 2018 Video-to-Text (VTT) Matching and Ranking task
[4] Top performer of the TRECVID 2016 Video-to-Text (VTT) task
[3] Top performer of the ImageCLEF 2015 Image Sentence Generation task
[2] Top performer of the MSR Bing Image Retrieval Challenge at ACM Multimedia 2015
[1] Top performer of the TRECVID 2013 Video Semantic Indexing with No Annotation task

社会兼职
http://lixirong.net/prof
+ Associate Editor, Multimedia Systems
+ PC co-chair, MMM 2021 (https://mmm2021.cz/)
+ Area chair, ICPR 2020
+ Area chair, ACM Multimedia 2020
+ Workshop co-chair, ACM Multimedia Asia 2019
+ Area chair, ACM Multimedia 2019
+ Senior PC, ACM ICMR 2019
+ Area chair, ACM Multimedia 2018
+ Area chair, ICPR 2016
+ Demo / short paper co-chair, PCM 2015
+ Publication co-chair, ICMR 2015
+ Publicity co-chair, ICMR 2013

荣誉获奖
[9] Winner of The Content-Based Video Relevance Prediction (CBVRP) Challenge, ACM Multimedia 2018 (Feature Re-Learning with Data Augmentation for Content-based Video Recommendation)
[8] 2017 中国多媒体大会优秀论文奖 (标签增强的中文看图造句)
[7] ACM Multimedia 2016 Grand Challenge Award (Early Embedding and Late Reranking for Video Captioning)
[6] PCM 2016 Best Paper Runner-Up (Improving Image Captioning by Concept-based Sentence Reranking)
[5] PCM 2014 Outstanding Reviewer Award
[4] SIGMM 2013 Best PhD Thesis Award (Content-based Visual Search Learned from Social Media)
[3] IEEE Transactions on Multimedia 2012 Prize Paper Award (Learning Social Tag Relevance by Neighbor Voting)
[2] 2011 国家优秀自费留学生奖学金
[1] ACM International Conference on Image and Video Retrieval 2010 Best Paper Award (Unsupervised multi-feature tag relevance learning for social image retrieval)