刘歆
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  • 姓名:刘歆
  • 性别:
  • 主要任职:专任教师
  • 电子邮件:
  • 在职信息:在岗
  • 职称:副教授
  • 单位:计算机学院
  • 学历:博士研究生毕业
  • 学位:工学博士
  • 毕业院校:重庆大学/Chongqing University
  • 联系方式:liuxin@cqupt.edu.cn
  • 个人简历
  • 研究方向
  • 社会兼职
  • 教育经历
  • 工作经历
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  刘歆,博士,副教授,重庆邮电大学计算机科学与技术学院。主要从事大数据分析与大数据技术应用、计算机视觉等领域的研究。2008年硕士毕业于重庆大学计算机科学与技术专业,2012年博士毕业于重庆大学计算机科学与技术专业。

 发表的论文:

       1.  刘歆, 曾奎, 陈奉.  基于多查询token选择机制的Transformer行为识别模型[J]. 智能系统学报, 2026. 已录用.

       2. Liu, Xin, Yapeng Meng, Feng Chen, Dengjian Qiao, and Fan Wu. "GCTGNN: A forecasting method for time series based on graph neural networks and graph clustering." Neurocomputing 626 (2025): 129544.

       3. 刘歆,  王奕琀, 钱鹰, 刘苏, 谢雨欣.  基于改进YOLOX的安全帽佩戴检测方法[J].重庆邮电大学学报(自然科学版)[2025-12-03].

       4. Zhu, Hongjun, Yuan, Shun, Liu, Xin, Chen, Kuo, Jia, Chaolong, and Qian, Ying. "CasCIFF: A cross-domain information fusion framework tailored for cascade prediction in social networks." Knowledge-Based Systems 303, (2024): 112391.

       5. Liu, Xin, Hongli Du, and Jian Yu. "A forecasting method for non-equal interval time series based on recurrent neural network." Neurocomputing 556 (2023): 126648.

       6. Liu, Xin, Jiuluan Lv, Feng Chen, Qingjie Wei, Hangxuan He, and Ying Qian. "Multi-Party Federated Recommendation Based on Semi-Supervised Learning." IEEE Transactions on Big Data 10, no. 4 (2023): 356-370.

       7. Liu, Xin, Yichao Ma, and Jian Yu. "Forecasting Method Based on Attenuated LSTM for Time Series With Missing Data." Journal of Grey System 35, no. 3 (2023).

       8. Zhu, Hongjun, Li, Yan, Jin, Xuelian, Huang, Jiangping, Liu, Xin, Qian, Ying, and Tan, Jindong. "Transmission dynamics and control methodology of COVID-19: A modeling study." Applied Mathematical Modelling 89, (2021): 1983-1998.

       9. Zhu, Hongjun, Li, Yan, Liu, Xin, Yin, Xuehui, Shao, Yanhua, Qian, Ying, and Tan, Jindong. "Camera calibration from very few images based on soft constraint optimization." Journal of the Franklin Institute 357, no. 4(2020): 2561-2584.

       10. Zhu, Hongjun, Liu, Xin, Jia, Chaolong, Du, Baisong, Liu, Simeng, and Qian, Ying. "An experimental study on the corrosion amount using a statistical analysis." Corrosion Engineering, Science and Technology 53, no. 1(2018): 26-35.

       11. Liu, Xin, Jin Dai, and Weijie Zhou. "Research on Grey Modeling for Multi-stream Information." Journal of Grey System 28, no. 4 (2016).

       12.  Liu, Xin, and Jin Dai. "A method of video shot-boundary detection based on grey modeling for histogram sequence." International Journal of Signal Processing, Image Processing and Pattern Recognition 9, no. 4 (2016): 265-280.

       13.  Liu, Xin, Jin Dai, Yuanyuan Jia, and Rubin Liu. "Caption Region Detection in Video Images by Improved Corner Detector." International Journal of Signal Processing, Image Processing and Pattern Recognition 7, no. 4 (2014): 409-420.

      14. 刘歆, 吴小倩. 轻量化YOLOv4的安全帽佩戴检测方法[J].重庆邮电大学学报:自然科学版, 2023, 35(4):671-679.DOI:10.3979/j.issn.1673-825X.202205310133.

      15. 刘歆, 杜红力, 温道洲. 基于图神经网络和长短期记忆模型的房价预测方法[J].计算机应用研究, 2023, 40(11):3282-3288.DOI:10.19734/j.issn.1001-3695.2023.03.0104.

      16. Liu, Xin, Yihan Wang, Xue Chen, and Feng Chen. "An improved YOLOv5 multi-scale object detection method." In 2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR), pp. 50-55. IEEE, 2023.

      17. Liu, Xin, Jianping Ma, Dengjian Qiao, and Chunhua Lian. "A Click-through Rate Prediction Method Based on Interaction Features Extraction for High  dimensional Sparse Data." In 2023 10th International Conference on Dependable Systems and Their Applications (DSA), pp. 347-355. IEEE, 2023.

      18. Liu, Xin, Chen Zhang, and Hongjun Zhu. "Video Shot-Boundary Detection based on Matrix sequence Grey model." In 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017), pp. 1484-1489. Atlantis Press, 2017.

      19. Liu, Xin, Chen Zhang, and ShunChao Nie. "A Method for Detecting Face Pigment Regions Based on Improved LBF." In 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), pp. 433-437. IEEE, 2019.

      20. Shi, Meifeng, He, Zhongshi, Chen, Ziyu, and Liu, Xin. "A full variate Gaussian model-based RM-MEDA without clustering process." International Journal of Machine Learning and Cybernetics 9, no. 10(2018): 1591-1608.

      21. Jin, Dai, Feng, Hu, and Xin, Liu. "Research on Grey Incidence Measurement Method Based on Dynamic Time Warping Distance." Journal of Grey System 27, no. 1(2015): 117-126.

      22. Jin, Dai, Feng, Hu, and Xin, Liu. "Novel rapid grey incidence analysis method based on data distribution." Journal of Jilin University (Engineering and Technology Edition) 45, no. 1(2015): 283-290.

      23. Jin, Dai, and Xin, Liu. "Approach for Text Classification Based on the Similarity Measurement between Normal Cloud Models." The Scientific World Journal 2014, (2014): 784392.

      24. Jin, Dai, Xin, Liu, and Feng, Hu. "Reduction algorithm for decision table combined with grey relational analysis." International Journal of Signal Processing, Image Processing and Pattern Recognition 7, no. 3(2014): 193-201.

      25. Dai, Jin, Liu, Xin, and Hu, Feng. "Research and Application for Grey Relational Analysis in Multigranularity Based on Normality Grey Number." The Scientific World Journal 2014, (2014): 312645.

      26. Xin, Liu, Tian Yufang, He Zhongshi, and Deng Julong. "An Improved Partial Grey Model." Journal of Grey System 24, no. 3 (2012).

      27. Xin, Liu, He Zhongshi, and Chen Haizhu. "Partial Grey Model and It's Diagonal Transformation." Journal of Grey System 23, no. 3 (2011).

      28. Liu, X., Z. He, and Y. Tian. "A diagonal transformation grey model based on matrix series." Journal of Computational Information Systems 7, no. 14 (2011): 5177-5184.

      29. He, Zhongshi, Xin Liu, and Yinong Chen. "Secondary-diagonal mean transformation partial grey model based on matrix series." Simulation Modelling Practice and Theory 26 (2012): 168-184.

      30. Shi, Meifeng, He, Zhongshi, Liu, Xin, and Huang, Meiyan. "A distance weight object tracking method based on combining mean shift and GM(1,1)." International Journal of Digital Content Technology and Its Applications 6, no. 1(2012): 318-325.

      31. 刘歆,黄颖.面向软件工程的数字媒体课程体系和人才培养模式研究[J].教育现代化:电子版, 2016(28):3.DOI:CNKI:SUN:JYXD.0.2016-28-003.

      32. 刘歆,黄颖,钟明,等.数字媒体设计与开发课程的翻转课堂教学模式设计与应用[J].计算机教育, 2020, 000(006):95-98,102.

      

出版的著作:

 1. 刘歆, 刘玲慧, 朱红军. 数字媒体技术基础[M]. 北京:人民邮电出版社, 2021.


获奖:

 1.重庆市科技进步奖三等奖,2018.(排2)

 2.重庆邮电大学教学成果奖三等奖,2021.(排2)


授权专利:

 1.刘歆,杜红力,钱鹰,姜美兰,孟雅朋,曾奎,陈奉.一种非等间隔时间的体检数据患病风险预测系统.

 2.刘歆,钱鹰,陈奉,姜美兰,杜红力,陈仕杰,朱红军,周宁. 一种理发店员工工作内容智能识别方法.

 3.刘歆,马艺超,钱鹰,朱红军,杜红力,温道洲.基于时序缺失感知和多源因素融合的空气质量集成预测方法.

 4.刘歆,陈泓宇,钱鹰,韦庆杰,金霜,郑钧宇,刘苏,梁晋周.一种面向纵向联邦学习的多方多类数据生成方法及系统.

 5.刘歆,马建平,陈雪,姜美兰,万邦睿,宋鹏,宋阳,刘娟.一种针对高维数据的商业信息评估方法及系统.

 6.刘歆,吴小倩,钱鹰,张彩玲,陈波.一种轻量化YOLOv4的建筑工地安全帽佩戴检测方法及装置.

 7.刘歆,陈波,钱鹰,姜美兰,赵义铭,吴小倩.一种复杂场景下实时视频多人行为识别方法及系统.

 8.刘歆,赵义铭,钱鹰,陈奉,曾奎,孟雅朋,姜美兰.基于Transformer网络模型的行人重识别方法、装置及计算机设备.

 9.陈奉,何杭轩,钱鹰,陈雪,吕九峦,刘歆,韦庆杰,熊炜.一种多方半监督学习的金融产品潜在用户推荐方法.

 10.钱鹰,郑钧予,刘歆,万邦睿,吴钒,林森,吴治中,刘苏.一种针对小样本场景的行为迁移学习识别方法.

 11.韦庆杰,伍曾伟,刘歆,赵世望.一种针对非自由选择结构的流程模型结构性评估方法.

 12.钱鹰,梁晋周,万邦睿,刘歆,陈奉,刘苏,姜美兰,王心怡.一种基于行为活动图的理发服务内容识别方法.

 13.韦庆杰,朱思宇,刘歆,陈奉,万邦睿,姜美兰,王奕琀,宋阳.一种基于行为文本处理的语音服务内容识别方法.

 14.钱鹰,莫昊恂,刘歆,陈奉,宋阳,熊炜,陈雪,杨世利.基于多方高维数据纵向联邦学习的商业信息推荐方法及装置.

 15.钱鹰,陈仕杰,杨世利,陈雪,刘歆,柯礼灵,熊炜.基于深度残差网络和注意力机制的声纹识别方法及装置.

 16.韦庆杰,李黎,刘歆,钱鹰,赵晨阳,伍曾伟.一种基于多源数据联邦学习的贷款风险评估方法.

 17.钱鹰,刘振龙,刘歆,韦庆杰,安春生,姜美兰.一种基于多方数据集的信用分类方法.

 18.钱鹰,史旭鹏,刘歆,姜美兰.一种自然场景图像中字符元素检测方法.


参与项目:

 1.公积金服务质量智能监测评估技术研究及应用,重庆市建设科技计划项目

 2.面向川渝民生服务一体化协同的大数据智能管理软件研发及多场景应用,四川省科技计划区域创新合作领域重点研发项目.

 3.成渝政务服务协同的智能软件研发及应用,成都市重点研发支撑计划项目.

 4.面向多流数据灰建模的实时视频跟踪技术研究,重庆市教委科技项目.

 5.基于企业雷达的公积金扩面智能决策支撑平台研发及应用,国家住房和城乡建设部科技示范项目.

 6.数字媒体技术类课程混合式教学模式改革的实践与探索,重庆市教改一般项目.

 7.数字媒体技术基础,重庆邮电大学金课.

 8.面向数字媒体课程的启发教学研究,重庆邮电大学教改项目.

 9.数字媒体设计与开发, 重庆邮电大学翻转课堂教学模式试点课程.





大数据分析;视频图像识别

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