北京交通大学硕士研究生导师信息：金一

　　在读研期间，所有与你读研相关的事情，可能都需要经过你的导师同意，所以说，选择导师真的很重要，也希望大家能够认真对待这件事，怎样才能选择适合自己的导师呢?这就要我们提前做足功课，尽可能多的搜集有关你准备报考的导师的信息，下面新东方在线考研频道为大家分享：“北京交通大学硕士研究生导师信息：金一”文章。

　　北京交通大学硕士研究生导师信息：金一

　　金一

　　博士、教授、博导、院长助理

　　基本信息

　　办公电话：电子邮件： yjin@bjtu.edu.cn

　　通讯地址：北京市海淀区上园村3号，北京交通大学邮编：100044

　　个人简介

　　金一，北京交通大学计算机与信息技术学院教授，博导，院长助理。主要研究方向为交通视频语义理解、可信行为分析、人脸防伪及面部识别、行人再识别等。发表或录用学术论文70余篇，其中包括IEEE/ACM汇刊等领域重要期刊和CCF A类会议CVPR，AAAI，ICCV，IJCAI，ACM MM等。作为项目负责人主持机器视觉、模式识别理论研究方向的国家自然科学基金项目、国家重点研发计划课题、“173”基础加强重大项目课题、北京市自然科学基金项目、教育部-中移动联合重点项目在内的项目等项目。任2022 PAAP财务主席，2019 IEEE BESC出版主席，CCF A类会议AAAI2021 SPC，ACM MM2021、IEEE ICSP PC等，任SCI期刊《Journal of The Franklin Institute》、《Journal of Electronic Imaging》编委、多家国际国内期刊的客座编委，任中国图象图形学学会交通视频专委会副秘书长，中国图象图形学学会女工委委员，中国计算机学会YOCSEF总部学术秘书(23-24)，智慧交通分会常委，多媒体专委会执委等。主编或参编专著教材2部，其中入选“十二五”普通高等教育本科国家级规划教材1部。申请国家发明专利45项，国际PCT发明专利1项，申请相关行业标准草案1项。核心数据处理与分析软件形成自主知识产权的计算机软件著作权6项。研究成果在智慧城市、智能交通、能源电力等领域实现产业化应用。获IEEE Computer Society 年度最佳论文奖 Runner-up(2022)，中国计算机学会科学技术奖科技进步优秀奖1项(2020)，北京市高等教育教学成果奖二等奖1项(2017)，IEEE ICSP突出贡献奖，IEEE BESC最佳服务奖等奖励，入选北京市轨道交通学会杰出青年人才(2023)，京东研究院“葡萄树学者计划”(2020)。

　　[Google Scholar 个人主页]

　　教育背景

　　金一，女，博士，北京交通大学计算机与信息技术学院教授，计算机科学与技术专业，博士研究生导师。2010年1月获得北京交通大学信号与信息处理专业博士学位。后进入北京交通大学计算机科学与技术博士后流动站工作两年。主要研究经历：

　　2021/01-今，北京交通大学，计算机与信息技术学院，教授;

　　2016/01-2020/12，北京交通大学，计算机与信息技术学院，副教授;

　　2012/01-2015/12，北京交通大学，计算机与信息技术学院，讲师;

　　2013/03-2014/03，新加坡南洋理工大学，电气与电子工程学院，博士后研究员，主要从事异质人脸识别研究;

　　2010/01-2011/12，北京交通大学，计算机与信息技术学院，博士后;

　　2008/03-2008/9，西班牙马德里理工大学，电信工程学院，图像处理研究组，国际交换生，主要从事3D人体动画研究。

　　研究兴趣：

　　多模态数据处理及智能感知，主要关注如何利用机器学习及深度学习，结合图像、视频及3D点云数据处理，研究复杂、开放环境下的特定目标检测与识别、场景理解等任务。

　　2024年度硕士招生情况(全日制统考生)：

　　本年度还余3名硕士研究生名额，主要研究方向：多模态融合感知，多媒体大数据分析等方向，要求：有较好的编程能力和素养，有计算机视觉、图像处理等相关基础，了解基本深度学习框架，课题组经费充足，如有意愿者请与我电邮联系。

　　2024年度硕士招生情况(非全日制统考生)：

　　本年度拟计划招1名非全日制硕士研究生，主要工作地点：北京，要求：有较好的编程能力，熟悉计算机视觉领域的基本深度学习框架，有较好的文字能力、沟通能力与团队合作精神，全职在交大工作，我们将一起与业内知名企业优秀团队共事(工资面议)。

　　目前课题组名额较为充足，欢迎联系。

　　研究方向

　　计算机技术

　　软件工程

　　人工智能

　　大数据技术与工程

　　生成式人工智能与安全

　　智能感知与具身智能

　　新一代电子信息技术

　　招生专业

　　计算机科学与技术硕士

　　计算机技术硕士

　　软件工程硕士

　　人工智能硕士

　　大数据技术与工程硕士

　　计算机科学与技术博士

　　人工智能博士

　　新一代电子信息技术(含量子技术等)硕士

　　软件工程博士

　　计算机技术博士

　　新一代电子信息技术(含量子技术等)博士

　　科研项目

　　国家重点研发计划：支持隐私保护的多媒体大数据处理与分析平台(2022YFB3103505 )，2022-12-5--2025-11-30，2513.0万元(国拨513.0万元)，主持(在研)

　　国家自然科学基金“面上”项目：面向复杂场景的无监督迁移学习行人再识别方法研究(61972030)，2020-01-01--2023-12-31，58.0万元，主持(已结题)

　　红果园国家级科技委、后勤保障项目：***目标感知与认知一体化技术研究，2020-08-01--2022-07-31，100.0万元，主持(已结题)

　　教育部-中移动基金项目：智慧城市安全治理复杂场景下的人体行为分析关键技术研究(MCM20200203)，2020.12-2022.12，150.0万元，主持(已结题)

　　国家自然科学基金“青年基金”：跨模态人脸特征学习方法及其应用研究，2015-01-01--2017-12-31，26.0万元，主持(结题)

　　北京市自然科学基金“预探索项目”：基于特征学习的跨视角行人再识别方法及其应用研究，2016-01-01--2018-12-31，6.0万元，主持 (结题)

　　基本科研业务费：面向社会网络的三维人脸重建与跨模态识别问题研究，2014-01-01--2015-12-31，主持(结题)

　　北京交通大学：消费者情感表征模式的自动识别分析，2013-09-01--2015-08-31，主持

　　博士点基金：基于智能感知的三维人脸特征提取及识别研究，2013-01-09--2015-12-31，主持

　　科技部国家基础重大研究计划(“973”)：面向公共安全的社会感知数据处理(物理与网络空间的协同感知)，2012-01-01--2016-12-31，参加

　　国家自然科学基金“面上”：三维表情识别中的张量表示及分解理论和算法研究，2015-01-01--2018-12-31，90.0万元，参加

　　国家自然科学基金“面上”：面向可视媒体内容安全的取证技术研究，2013-01-01--2016-12-31，80.0万元，参加

　　国家自然科学基金“面上”：基于多目视觉的形体语言感知与识别研究，2012-01-01--2015-12-31，60.0万元，参加

　　教学工作

　　[主讲课程]：

　　本科生课程《操作系统A》，课程号：80L108Q(本科生第三年-春季学期)

　　研究生课程《机器视觉》，课程号：M502024B(研究生第一年-秋季学期)

　　[招生信息]：

　　我招收硕士、博士研究生(推免/招考, 硕士生：4-5 名/年，博士生：1 名/年)和学有余力的本科实习生(特别是有意攻读博士学位的本科生)，如愿意选择我作为导师(学术型硕士生优先)，请电邮联系并附简历。

　　招生要求：熟悉python、java、C++等语言工具，对深度学习下的图像感知、视频分析等任务有前期基础和较深理解(有读博意愿优先)，招收非全日制学生2名(全职在交大工作，薪资面议)。

　　论文/期刊

　　News:

　　One paper "PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification," has been recognized as the Runner-up for the 2020 Best Paper Award from IEEE MultiMedia by the IEEE Computer Society Publications Board. An announcement has been posted online here: https://www.computer.org/publications/best-paper-award-winners.

　　One paper "VSLN: View‐aware sphere learning network for cross‐view vehicle re‐identification" has been acceptted by International Journal of Intelligent Systems(IF=8.7088，Q1).

　　One paper "Blockchain-Based Decentralized Cloud Storage with Reliable Deduplication and Storage Balancing" has been acceptted by IEEE Transactions on Network Science and Engineering.

　　One paper "Weakly Supervised Object Detection with Class Prototypical Network" has been acceptted by IEEE Transactions on Multimedia(IF=6.513，Q1).

　　Special Issues：

　　ACM TOMM (IF=3.144)

　　"Multimedia Cognitive Computing for Intelligent Transportation System". Call for papers.

　　Submission deadlin: March 31, 2022. Expected publication in Dec. 2022.

　　Signal Processing: Image Communication (IF=3.256，Q2)

　　"Special Issue on Explainable Artificial Intelligence for Image Understanding". Call for papers.

　　Submission deadline: April 30, 2022. Expected publication in Dec. 2022.

　　IEEE International Conference on Intelligent Transportation Systems(IEEE ITSC 2022, IEEE 智能交通系统学会年度旗舰会议)

　　"Long-tailed Situation Understanding in New Era of Intelligent Transportation: Benchmarks, Models and Applications". 【PDF】

　　October 8-12, 2022 Macau, China.

　　IEEE International Conference on Multimedia and Expo (IEEE ICME 2022, IEEE国际多媒体领域年度旗舰会议)

　　"Visual Question Answering for Fine-grained Multimedia Understanding".

　　July 18-22, 2022 Taipei, Taiwan.

　　《计算机工程》 (已被Scopus数据库收录)

　　《区块链理论与技术》专栏征文

　　投稿截止时间：2022年3月31日，专栏出版时间：2022年6月15日。

　　Publications:

　　2021：

　　Yajun Gao, Tengfei Liang, Yi Jin*, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang, MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification. ACM MM 2021. (CCF A类)

　　Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin. Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment. AAAI, 2021. (CCF A类)

　　Yi Jin, Yue Zhang, Yigang Cen, Yidong Li, Vladimir Mladenovic, Viacheslav Voronin . Pedestrian detection with super-resolution reconstruction for low-quality image[J]. Pattern Recognition, 2021, 115: 107846. (CCF B类，Q1)

　　Yi Jin, Chenning Li, Yidong Li, Peixi Peng, George A Giannopoulos. Model Latent Views With Multi-Center Metric Learning for Vehicle Re-Identification[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(3): 1919-1931. (CCF B类，Q1)

　　Yidong Li, Wenhua Liu, Yi Jin*, Yuanzhouhan Cao. SPGAN: Face Forgery Using Spoofing Generative Adversarial Networks[J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021, 17(1s): 1-20. (CCF B类，Q1)

　　Lichen Cheng, Jiqiang Liu, Yi Jin, Yidong Li, Wei Wang. Account Guarantee Scheme: Making Anonymous Accounts Supervised in Blockchain[J]. ACM Transactions on Internet Technology (TOIT), 2021, 21(1): 1-19. (CCF B类，Q1)

　　Gengyu Lyu, Songhe Feng, Yi Jin, Yidong Li. Partial Label Learning via Self-Paced Curriculum Strategy[C]. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II. Springer International Publishing, 2021: 489-505. (CCF B类)

　　Shuqin Wang, Yongyong Chen, Yi Jin, Yigang Cen, Yidong Li, Linna Zhang. Error-robust low-rank tensor approximation for multi-view clustering[J]. Knowledge-Based Systems, 2021, 215: 106745. (CCF C类，Q1)

　　Ruicong Zhi, Caixia Zhou, Tingting Li, Shuai Liu, Yi Jin. Action unit analysis enhanced facial expression recognition by deep neural network evolution[J]. Neurocomputing, 2021, 425: 135-148. (CCF C类，Q1)

　　Min Wang, Congyan Lang, Songhe Feng, Tao Wang, Yi Jin, Yidong Li. Text to photo-realistic image synthesis via chained deep recurrent generative adversarial network[J]. Journal of Visual Communication and Image Representation, 2021, 74: 102955. (CCF C类，Q1)

　　Xu Wang, Yi Jin*, Yigang Cen, Tao Wang, Yidong Li. Attention Models for Point Clouds in Deep Learning: A Survey[J]. arXiv preprint arXiv:2102.10788, 2021. (Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2021)

　　Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z Li. Cross‐ethnicity face anti‐spoofing recognition challenge: A review[J]. IET Biometrics, 2021, 10(1): 24-43. (Q1)

　　2020：

　　Yangru Huang, Peixi Peng, Yi Jin*, Yidong Li, Junliang Xing. Domain adaptive attention learning for unsupervised person re-identification[C]. AAAI 2020, 34(07): 11069-11076. (CCF A类)

　　Tao Wang, He Liu, Yidong Li, Yi Jin, Xiaohui Hou, Haibin Ling. Learning combinatorial solver for graph matching[C]. CVPR 2020: 7568-7577. (CCF A类)

　　Yi Jin, Xingyan Guo, Yidong Li*, Junliang Xing, Hui Tian. Towards stabilizing facial landmark detection and tracking via hierarchical filtering: A new method[J]. Journal of the Franklin Institute, 2020, 357(5): 3019-3037. (Q1)

　　Jieru Jia, Qiuqi Ruan, Yi Jin*, Gaoyun An, Shiming Ge. View-specific subspace learning and re-ranking for semi-supervised person re-identification[J]. Pattern Recognition, 2020, 108: 107568. (CCF B类，Q1)

　　Yidong Li, Kai Liu, Yi Jin, Tao Wang, Weipeng Lin. VARIlD: Viewpoint-Aware Re-IDentification of Vehicle Based on Triplet Loss[J]. IEEE Transactions on Intelligent Transportation Systems, 2020. (CCF B类，Q1)

　　Tengfei Liang, Yi Jin*, Yidong Li, Tao Wang, Songhe Feng, Congyan Lang. EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising[J]. arXiv preprint arXiv:2011.00139, 2020. (Release Code)

　　Zikai Zhang, Yidong Li, Hairong Dong, Honghao Gao, Yi Jin, Wei Wang. Spectral-based Directed Graph Network for Malware Detection[J]. IEEE Transactions on Network Science and Engineering, 2020. (Q1)

　　Yue Zhang*, Yi Jin*, Jianqiang Chen, Shichao Kan, Yigang Cen, Qi Cao. PGAN: Part-based nondirect coupling embedded GAN for person reidentification[J]. IEEE MultiMedia, 2020, 27(3): 23-33. (Best Paper Award from IEEE MultiMedia by the IEEE Computer Society Publications Board，Q1)

　　Yangru Huang, Yi Jin*, Yidong Li, Zhiping Lin. Towards Imbalanced Image Classification: A Generative Adversarial Network Ensemble Learning Method[J]. IEEE Access, 2020, 8: 88399-88409. (Q1)

　　Gengyu Lyu, Songhe Feng, Yidong Li, Yi Jin, Guojun Dai, Congyan Lang. Hera: Partial label learning by combining heterogeneous loss with sparse and low-rank regularization[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2020, 11(3): 1-19. (Q1)

　　2019：

　　Lijuan Sun, Songhe Feng, Tao Wang, Congyan Lang, Yi Jin. Partial multi-label learning by low-rank and sparse decomposition[C]. Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33(01): 5016-5023. (CCF A类)

　　Zhongyi Li, Yi Jin*, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang. Learning part-alignment feature for person re-identification with spatial-temporal-based re-ranking method[J]. World Wide Web, 2019: 1-17. (CCF B类，Q2)

　　Chen Qian, Yi Jin, Yidong Li, Congyan Lang, Songhe Feng, Tao Wang. Deep Domain Adaptation for Asian Face Recognition via Ada-IBN[C]. 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2019: 525-530. (CCF B类)

　　Yunfang Fu, Qiuqi Ruan, Ziyan Luo, Yi Jin, Gaoyun An, Jun Wan. FERLrTc: 2D+ 3D facial expression recognition via low-rank tensor completion[J]. Signal Processing, 2019, 161: 74-88. (CCF C类，Q1)

　　Xiaolin Xu, Yidong Li, Yi Jin*. Hierarchical discriminant feature learning for cross-modal face recognition[J]. Multimedia Tools and Applications, 2019: 1-20. (CCF C类，Q1)

　　Fanghui Zhang, Yi Jin, Shichao Kan, Linna Zhang, Yigang Cen, Jin Wen. Vehicle Detection in Distorted Driving Video Based on Metric Learning and Single Shot MultiBox Detector[C]. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC). IEEE, 2019: 1-6.

　　Jun Zhou, Tao Wang, Yi Jin. The hypergraph matching based on CCRP[C]. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC). IEEE, 2019: 1-6.

　　Juan Song, Yi Jin*, YiDong Li, Congyan Lang. Learning structural similarity with evolutionary-gan: A new face de-identification method[C]. 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC). IEEE, 2019: 1-6.

　　Yangru Huang, Yi Jin*, Peixi Peng, Congyan Lang, Yidong Li. Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network[C]. International Conference on Image and Graphics. Springer, Cham, 2019: 517-528.

　　Yangru Huang, Peixi Peng, Yi Jin*, Junliang Xing, Congyan Lang, Songhe Feng. Domain adaptive attention model for unsupervised cross-domain person re-identification[J]. arXiv preprint arXiv:1905.10529, 2019.

　　Yunfang Fu, Qiuqi Ruan, Yi Jin, Gaoyun An. Orthogonal Low Rank Tucker Decomposition for 2D+ 3D Facial Expression Recognition[M]. Fuzzy Systems and Data Mining V. IOS Press, 2019: 1026-1037.

　　2018：

　　Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Yi Jin, Yidong Li. Constrained confidence matching for planar object tracking[C]. 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018: 659-666. (CCF B类)

　　Jun Zhou, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin. A novel hypergraph matching algorithm based on tensor refining[J]. Journal of Visual Communication and Image Representation, 2018, 57: 69-75. (CCF C类，Q1)

　　Lipeng Wan, Jun Wan, Yi Jin*, Zichang Tan, Stan Z Li. Fine-grained multi-attribute adversarial learning for face generation of age, gender and ethnicity[C]. 2018 International Conference on Biometrics (ICB). IEEE, 2018: 98-103. (CCF C类)

　　Peng Bian, Wanwan Li, Yi Jin*, Ruicong Zhi. Ensemble feature learning for material recognition with convolutional neural networks[J]. EURASIP Journal on Image and Video Processing, 2018, 2018(1): 1-11. (Q2)

　　Peng Bian, Zhengnan Xie, Yi Jin*. Multi-task feature learning-based improved supervised descent method for facial landmark detection[J]. Signal, Image and Video Processing, 2018, 12(1): 17-24. (Q2)

　　Xiaolin Xu, Yidong Li, Yi Jin, Congyan Lang, Songhe Feng, Tao Wang. Hierarchical Discriminant Feature Learning for Heterogeneous Face Recognition[C]. 2018 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2018: 1-4.

　　Ju Zhang, Qiuqi Ruan, Yi Jin, Jing Ge. Image Deeper Passive Forgery Detection Based on SIFT and Higher-Order Statistics Features[C]. 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM). IEEE, 2018: 1-6.

　　Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin. Graph-based visual odometry for VSLAM[J]. Industrial Robot: An International Journal, 2018.

　　Xingyan Guo, Yi Jin, Yidong Li, Junliang Xing, Congyan Lang. Stabilizing video facial landmark detection and tracking via global and local filtering[C]. Proceedings of the 10th International Conference on Internet Multimedia Computing and Service. 2018: 1-7.

　　Yajie Jiang, Qiuqi Ruan, Gaoyun An, Yi Jin. Fast Non-Negative Tensor Factorization based on CP decomposition for 3D Facial Expression Recognition[C]. 2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE, 2018: 527-532.

　　Zhe Li, Yi Jin, Yidong Li, Zhiping Lin, Shan Wang. Imbalanced adversarial learning for weather image generation and classification[C]. 2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE, 2018: 1093-1097.

　　Yunfang Fu, Qiuqi Ruan, Yi Jin, Gaoyun An. Sparse Orthogonal Tucker Decomposition for 2D+ 3D Facial Expression Recognition[C]. 2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE, 2018: 516-521.

　　Peng Bian, Yi Jin, Jiuwen Cao. Facial landmark detection via elm feature selection and improved sdm[M]. Proceedings of ELM-2016. Springer, Cham, 2018: 217-228.

　　2017：

　　Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin. Robust object tracking based on temporal and spatial deep networks[C]. Proceedings of the IEEE International Conference on Computer Vision. 2017: 1144-1153. (CCF A类)

　　Jieru Jia, Qiuqi Ruan, Gaoyun An, Yi Jin. Multiple metric learning with query adaptive weights and multi-task re-weighting for person re-identification[J]. Computer Vision and Image Understanding, 2017, 160: 87-99. (CCF B类，Q1)

　　Yi Jin*, Jie Li, Congyan Lang, Qiuqi Ruan. Multi-task clustering ELM for VIS-NIR cross-modal feature learning[J]. Multidimensional Systems and Signal Processing, 2017, 28(3): 905-920. (Q1)

　　before 2016：

　　Yi Jin, Jiwen Lu, Qiuqi Ruan. Coupled discriminative feature learning for heterogeneous face recognition[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(3): 640-652. (CCF A类，Q1)

　　Yi Jin*, Jiwen Lu, Qiuqi Ruan, Yap-Peng Tan. Complete discriminative feature learning: A new approach for heterogeneous face recognition[C]. 2014 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2014: 1-6. (CCF B类)

　　Yi Jin*, Jiuwen Cao, Yizhi Wang, Ruicong Zhi. Ensemble based extreme learning machine for cross-modality face matching[J]. Multimedia Tools and Applications, 2016, 75(19): 11831-11846. (CCF C类，Q1)

　　Jieru Jia, Qiuqi Ruan, Yi Jin. Geometric preserving local fisher discriminant analysis for person re-identification[J]. Neurocomputing, 2016, 205: 92-105. (CCF C类，Q1)

　　Yi Jin*, Jiwen Lu, Qiuqi Ruan. Large margin coupled feature learning for cross-modal face recognition[C]. 2015 International Conference on Biometrics (ICB). IEEE, 2015: 286-292. (CCF C类)

　　Xiaoli Li, Qiuqi Ruan, Yi Jin, Gaoyun An, Ruizhen Zhao. Fully automatic 3D facial expression recognition using polytypic multi-block local binary patterns[J]. Signal Processing, 2015, 108: 297-308. (CCF C类，Q1)

　　Shuai Liu, Qiuqi Ruan, Yi Jin. Orthogonal tensor rank one differential graph preserving projections with its application to facial expression recognition[J]. Neurocomputing, 2012, 82: 238-249. (CCF C类，Q1)

　　Chengyuan Zhang, Qiuqi Ruan, Yi Jin. Fusing global and local complete linear discriminant features by fuzzy integral for face recognition[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22(07): 1427-1445. (CCF C类)

　　Xiaoli Li, Qiuqi Ruan, Gaoyun An, Yi Jin, Ruizhen Zhao. Multiple strategies to enhance automatic 3D facial expression recognition[J]. Neurocomputing, 2015, 161: 89-98. (CCF C类，Q1)

　　Peng Bian, Yi Jin, Luyue Jiang, Yidong Li. Coupled feature spaces learning with joint graph regularization for person re-identification[C]. 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC). IEEE, 2016: 1-5.

　　Yunfang Fu, Qiuqi Ruan, Gaoyun An, Yi Jin. Fast nonnegative tensor factorization based on graph-preserving for 3D facial expression recognition[C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP). IEEE, 2016: 292-297.

　　Zhengnan Xie, Yi Jin, Peng Bian, Wei Zhou. Facial landmark detection via self-adaption model and multi-task feature learning[C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP). IEEE, 2016: 113-117.

　　Dantong Zhang, Kunpeng Wang, Yi Jin, Peng Bian, Jibo Tan. NR image quality assessment of satellite image[C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP). IEEE, 2016: 1867-1871.

　　Zhan Wang, Qiuqi Ruan, Gaoyun An, Yi Jin. A regularized low-rank representation model for facial expression recognition[C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP). IEEE, 2016: 1072-1076.

　　Xiaoli Li, Qiuqi Ruan, Gaoyun An, Yi Jin. Analysis of range images used in 3D facial expression recognition systems[J]. Computing and Informatics, 2016, 35(1): 203-221.

　　Lei Tian, Chunxiao Fan, Yue Ming, Yi Jin. Stacked PCA network (SPCANet): an effective deep learning for face recognition[C]. 2015 IEEE International Conference on Digital Signal Processing (DSP). IEEE, 2015: 1039-1043.

　　Chunxiao Fan, Lei Tian, Guangchao Wang, Yue Ming, Jiakun Shi, Yi Jin. 3D human behavior recognition based on spatiotemporal texture features[C]. 2015 8th International Conference on Human System Interaction (HSI). IEEE, 2015: 350-356.

　　Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An. 3D face recognition using closest point coordinates and spherical vector norms[J]. 2015.

　　Yue Ming, Yi Jin. Robust 3D Local SIFT Features for 3D Face Recognition[M]. Intelligent Robotics and Applications. Springer, Cham, 2015: 352-359.

　　Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An. Three-dimensional face recognition under expression variation[J]. EURASIP Journal on Image and Video Processing, 2014, 2014(1): 1-11.

　　Xiaoli Li, Qiuqi Ruan, Gaoyun An, Yi Jin. Automatic 3D facial expression recognition based on polytypic Local Binary Pattern[C]. 2014 12th International Conference on Signal Processing (ICSP). IEEE, 2014: 1030-1035.

　　Jie Li, Yi Jin, Qiuqi Ruan. Matching NIR face to VIS face using multi-feature based MSDA[C]. 2014 12th International Conference on Signal Processing (ICSP). IEEE, 2014: 1443-1447.

　　Ju Zhang, Qiuqi Ruan, Yi Jin. Combined SIFT and bi-coherence features to detect image forgery[C]. 2014 12th International Conference on Signal Processing (ICSP). IEEE, 2014: 1859-1863.

　　Ruicong Zhi, Lei Zhao, Bolin Shi, Yi Jin. Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition[J]. IEICE TRANSACTIONS on Information and Systems, 2014, 97(9): 2434-2442.

　　Xiaoli Li, Qiuqi Ruan, Yi Jin, Gaoyun An. A novel approach to enhance automatic 3D facial expression recognition[C]. 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2014: 1-6.

　　Ruicong Zhi, Lei Zhao, Bolin Shi, Yi Jin. New dimensionality reduction model (manifold learning) coupled with electronic tongue for green tea grade identification[J]. European Food Research and Technology, 2014, 239(1): 157-167. (Q1)

　　Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An. Expression robust three-dimensional face recognition based on Gaussian filter and dual-tree complex wavelet transform[J]. Journal of Intelligent & Fuzzy Systems, 2014, 26(1): 193-201. (Q1)

　　Gaoyun An, Shuai Liu, Yi Jin, Qiuqi Ruan, Shan Lu. Facial expression recognition based on discriminant neighborhood preserving nonnegative tensor factorization and ELM[J]. Mathematical Problems in Engineering, 2014, 2014. (Q1)

　　Yi Jin*, Jiuwen Cao, Qiuqi Ruan, Xueqiao Wang. Cross-modality 2D-3D face recognition via multiview smooth discriminant analysis based on ELM[J]. Journal of Electrical and Computer Engineering, 2014, 2014. (Q2)

　　Xueqiao Wang, Qiuqi Ruan, Gaoyun An, Yi Jin. 2D+ 3D face recognition using Dual-tree Wavelet Transform[C]. 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013). IEEE, 2013: 1-4.

　　Ruicong Zhi, Lei Zhao, Bolin Shi, Houyin Wang, Zhi Li, Jian Zhang, Xingjun Xi, Yi Jin. Predicting sensory quality of Longjing tea on the basis of physiochemical data[J]. Sensors and Materials, 2013, 25(4): 269-284.

　　Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An. Expression-insensitive three-dimensional face recognition using holistic and local features[J]. 2013.

　　Xueqiao Wang, Qiuqi Ruan, Yi Jin, Gaoyun An. Three-dimensional face recognition based on Dual-tree Complex Wavelet Transform and weighted spherical face representation[C]. 2012 IEEE 11th International Conference on Signal Processing. IEEE, 2012, 3: 2193-2198.

　　Yuefeng Liu, Yizhi Wang, Yi Jin. Research and design of heterogeneous data integration based on SOA[C]. 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011: 3863-3867.

　　Yi Jin, Yizhi Wang, Qiuqi Ruan, Xueqiao Wang. A new scheme for 3D face recognition based on 2D Gabor Wavelet Transform plus LBP[C]. 2011 6th International Conference on Computer Science & Education (ICCSE). IEEE, 2011: 860-865.

　　Yi Jin, Qiu-Qi Ruan, Yi-Zhi Wang. 3D Face recognition using Tensor orthogonal locality sensitive discriminant analysis[C]. IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS. IEEE, 2010: 1394-1397.

　　Peng Bian, Yi Jin, Nai-ren Zhang. Fuzzy c-means clustering based digital camouflage pattern design and its evaluation[C]. IEEE 10th International Conference on Signal Processing Proceedings. IEEE, 2010: 1017-1020.

　　Peng Bian, Yi Jin, Nairen Zhang. Research on human-computer interaction design for distance education websites[C]. 2010 5th International Conference on Computer Science & Education. IEEE, 2010: 716-719.

　　Yi Jin, Yizhi Wang, Peng Bian. An approach of design and implementation on SOA-based computer aided learning platform[C]. 2010 5th International Conference on Computer Science & Education. IEEE, 2010: 1558-1573.

　　Yi Jin, Qiu-Qi Ruan. Orthogonal Locality Sensitive Discriminant Analysis for Face Recognition[J]. Journal of Information Science & Engineering, 2009, 25(2). (Q2)

　　Yi Jin, Qiu Qi Ruan. Face recognition using gabor-based improved supervised locality preserving projections[J]. Computing and Informatics, 2009, 28(1): 81-95.

　　GaoYun An, QiuQi Ruan, JiYing Wu, Yi Jin. Local Lighting Invariant features for face recognition[C]. 2008 9th International Conference on Signal Processing. IEEE, 2008: 1604-1607.

　　Yi Jin, Qiuqi Ruan, Jiying Wu. Gabor-based orthogonal locality sensitive discriminant analysis for face recognition[C]. 2008 9th International Conference on Signal Processing. IEEE, 2008: 1625-1628.

　　Jiying Wu, Qiuqi Ruan, Gaoyun An, Yi Jin. Multi-scale preprocessing model for face recognition[C]. 2008 9th International Conference on Signal Processing. IEEE, 2008: 1544-1547.

　　Yi Jin, Qiu-Qi Ruan. A partially weighted two-dimensional PCA for face recognition[J]. Zhineng Xitong Xuebao(CAAI Transactions on Intelligent Systems), 2007, 2(3): 25-29.

　　Yi Jin, Qiu-Qi Ruan. An image matrix compSression based supervised LPP for face recognition[C]. International Symposium on Intelligent Signal Processing and Communication Systems. 2007.

　　Yi Jin, Qiu-Qi Ruan. Gabor-based improved locality preserving projections for Face Recognition[C]. 2007 IEEE International Conference on Image Processing. IEEE, 2007, 1: I-153-I-156.

　　Yi Jin, Qiu-Qi Ruan. An image matrix compression based supervised locality preserving projections for face recognition[C]. 2007 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2007: 738-741.

　　Yi Jin, Qiuqi Ruan. Face recognition using assembled matrix distance metric based 2DLDA algorithm[C]. 2006 8th international Conference on Signal Processing. IEEE, 2006, 3.

　　Xuan Li, Jun Wan, Yi Jin, Ajian Liu, Guodong Guo, Stan Z Li. 3DPC-Net: 3D Point Cloud Network for Face Anti-spoofing[C]. 2020 IEEE International Joint Conference on Biometrics (IJCB). IEEE, 1-8.

　　专著/译著

　　王移芝, 许宏丽, 魏慧琴, 金一.《大学计算机》(“十二五” 高等教育本科国家级规划教材, 第五版)[M].国内：高等教育出版社，2015-06.

　　许宏丽, 时庆国, 周筱来, 金一, 靳小燕.《多媒体技术及应用》[M]。国内:清华出版社，2011-02

　　专利

　　1.金一，蔡斯琪等，一种基于眨眼检测的人脸识别方法(授权号：ZL201611039329.4)

　　2.金一，安高云等，基于多任务学习的人脸关键特征点的定位方法(授权号：ZL201710010146.8)

　　3.金一，黄杨茹，李哲等，基于对抗生成网络的图像处理方法和装置(授权号：ZL201811404816.5)

　　4.李浥东，王涛，王飞，金一等，智能停车场中的AGV 调度方法(授权号：ZL201910779887.1)

　　5.金一，高雅君，黄杨茹等，一种无监督域适应的目标重识别方法(公开申请号：ZL202010597480.X)

　　软件著作权

　　获奖与荣誉

　　2020年，大数据驱动的高速铁路智能安全检测方法，中国计算机学会(CCF)科学技术奖科技进步优秀奖

　　2017年，计算机与信息技术类大类招生及分流培养探索与实践，北京市高等教育成果奖二等奖

　　2013年，北京交通大学，握奇奖教金

　　2012年，跟踪科技发展前沿，深化研究生学位课建设-北京交通大学优秀教学成果二等奖

　　社会兼职

　　中国图象图形学学会(CSIG)交通视频专委会 副秘书长、中国计算机学会(CCF)多媒体专业委员会 委员，CCF YOCSEF 总部委员;

　　任IEEE Trans. on Image Processing，IEEE Trans. on Information Forensics and Security，Journal of Visual Communication and Image Representation，Multimedia tools and applications，电子与信息学报等国内外EI、SCI期刊审稿人;

　　任SCI期刊Mathematical Problems in Engineering，特邀编辑(Guest Editor);

　　以上就是小编为大家分享的：“北京交通大学硕士研究生导师信息：金一”，更多研究生导师信息，欢迎继续浏览新东方在线研究生导师频道。