当前位置: X-MOL首页全球导师 国内导师 › 关键

个人简介

关键,预聘副教授,累计发表学术论文30余篇,申请及授权发明专利10余项。ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Signal Processing,IEEE Transactions on Multimedia, EURASIP Journal of Advances in Signal Processing, Circuits Systems and Signal Processing, IET Signal Processing等学术期刊审稿人。 教育经历 哈尔滨工业大学深圳研究生院 计算机应用技术 工学博士 萨里大学(University of Surrey) 电气工程 联合培养 吉林大学 计算机应用技术 工学硕士 吉林大学 计算机科学与技术 理学学士 工作经历 2018.11-至今 哈尔滨工程大学 计算机科学与技术学院 2011-2012 吉林大学珠海学院 计算机科学与技术学院 承担项目 国家重点实验室开放基金 在研 主持 黑龙江省自然科学基金优青项目 在研 主持 中央高校-面向学术前沿学科交叉项目 在研 主持 哈工程-腾讯游戏语音降噪合作研究 结项 主持 学术交流 2020.9 Our work has been virtually presented on International Geoscience and Remote Sensing Symposium (IGARSS 2020), Hawaii, US. 2020.5 Our papers are virtually presented on International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain. 2020.3 “AI for Speech Signal Processing and Remote Sensing”学术报告---哈尔滨工程大学人工智能技术青年研讨会,哈尔滨 2020.1 Oral presentaion on 26th International Conference on Multimedia Modeling (MMM 2020), Daejeon, Korea. 2019.8 Two papers are presented on International Geoscience and Remote Sensing Symposium (IGARSS 2019), Yokohama, Japan. 2019.3-2019.4 Academic visit the Institute of Sound and Vibration Research (ISVR), University of Southampton, UK. 2018.8 "Sparse Representation for Blind Speech Deconvolution"---Keynote talk on the China Computer Federation (CCF) Workshop on Sparse Representation and Deep Learning, Shenzhen, China. 招生信息 欢迎加入智能信号处理实验室(Group of Intelligent Signal Processing, GISP),进行相关理论及应用研究工作。具体要求:具有扎实的专业基础,良好的数学、英语运用能力,勤奋踏实,能够独立思考。 本科生授课课程 操作系统 操作系统实验课 专利成果 申请及授权专利10余项

研究领域

声音和语音信号处理、图像处理、遥感信息处理、人工智能。主要研究内容包括:语音增强/去混响、声学信道建模、声音事件检测、盲信号估计;遥感图像解译、遥感目标检测/识别;稀疏表示方法及应用;深度学习理论及应用。

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

主要期刊论文: 9.J. Guan, J. Liu, P. Feng, W. Wang, "Multi-Scale Deep Neural Network with Two-Stage Loss for SAR Target Recognition with Small Training Set", IEEE Geoscience and Remote Sensing Letters, 2021. (SCI, JCR:1区) 8.F. Jia, X. Wang, J. Guan, et al., "WRGPruner: A New Model Pruning Solution for Tiny Salient Object Detection", Image and Vision Computing, 2021. (SCI, JCR:1区) 7.Y. Yuan, J. Guan*, P. Feng, Y. Wu, "A Practical Solution for SAR Despeckling with Adversarial Learning Generated Speckled-to-Speckled Images", IEEE Geoscience and Remote Sensing Letters, Dec., 2020. (SCI, JCR:1区) 6.D. Xu, J. Guan*, P. Feng, W. Wang, "Association Loss for Visual Object Detection", IEEE Signal Processing Letters, vol. 27, pp. 1435-1439, July, 2020. (SCI, JCR:2区) (D. Xu本科生) 5.F. Jia, X. Wang, J. Guan, et al., "Bi-Connect Net for Salient Object Detection", Neurocomputing, vol. 384, pp. 142-155, April, 2020.(SCI, JCR:1区) 4.Y. Liu, V. Kilic, J. Guan, and W. Wang, "Audio-Visual Particle Flow SMC-PHD Filtering for Multi-Speaker Tracking", IEEE Transactions on Multimedia, vol. 22(4), pp. 934-948, April, 2020..(SCI, JCR:1区) 3.J. Dong, Z. Xue, J. Guan, Z. Han, and W. Wang, “Low Rank Matrix Completion Using Truncated Nuclear Norm and Sparse Based Regularizer”, Signal Processing: Image Communication, vol. 68, pp.76-87, Oct., 2018. (SCI, JCR: 2区) 2.J. Guan, X. Wang, P. Feng, J. Dong, J. Chambers, Z. Jiang, and W. Wang, “Polynomial Dictionary Learning Algorithms in Sparse Representations”, Signal Processing, vol. 142, pp.492-503, Jan., 2018. (SCI, JCR:1区) 1.J. Guan, X. Wang, W. Wang, and L. Huang, “Sparse Blind Speech Deconvolution with Dynamic Range Regularization and Indicator Function”, Circuits, Systems, and Signal Processing, vol. 36(10), pp. 4145–4160, Oct., 2017. (SCI, JCR: 2区) 主要会议论文: 15. J. Guan, W. Wang, et al., "Low-dimensional Denoising Embedding Transformer for ECG Classification",in Proc. of 46th IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. (CCF B) 14.P. Feng, Y. Lin, G. He, J. Guan*, et al., "A Dynamic End-to-end Fusion Filter for Local Climate Zone Classification using SAR and Multi-spectrum Remote Sensing Data", in Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), Hawaii, US, Sept. 26- Oct. 2, 2020. 13.P. Feng, Y. Lin, J. Guan*, G. He, H. Shi, J. Chambers, "TOSO: Student's-T Distribution Aided One-stage Orientation Target Detection in Remote Sensing Images",in Proc. of 45th IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 4-8, 2020. (CCF B) 12.J. Guan, J. Liu, et al., "Meta Metric Learning for Highly Imbalanced Aerial Scene Classification",in Proc. of 45th IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 4-8, 2020. ( CCF B, ICASSP is the world's largest and most comprehensive technical conference focused on signal processing) 11.J. Guan, L. Yin, et al.,“Enhanced Gaze Following via Object Detection and Human Pose Estimation”,in Proc. of 26th International Conference on Multimedia Modeling (MMM 2020), Daejeon, Korea, January 5-8, 2020. (CCF C) 10.F. Jia, X. Wang, J. Guan, et al., “Bi-directional Features Reuse Network for Salient Object Detection”, in Proc. of the 16th Pacific Rim International Conferences on Artificial Intelligence (PRICAI 2019), Nadi, Fiji, August 26-30, 2019. (CCF C) 9.Y. Wu, Y. Yuan, J. Guan, et al., “Joint Convolutional Neural Network for Small-scale Ship Classification in SAR Images”, in Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Yokohama, Japan , July 28 - August 2, 2019.(IGARSS is a flagship conference in remote sensing) 8.P. Feng, Y. Lin, J. Guan*, et al, “Embranchment CNN based Local Climate Zone Classification using SAR and Multispectral Remote Sensing Data", in Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Yokohama, Japan , July 28 - August 2, 2019. (IGARSS is a flagship conference in remote sensing) 7.Q. Zhou, S. Qi, X. Wang, J. Guan and L. Yao, “Balance the Loss: Improving Deep Hash via Loss Weighting and Semantic Preserving”, in Proc. of IEEE International Conference on Multimedia and Expo 2018 (ICME 2018), San Diego, USA, July 23-27, 2018. (CCF B) 6.Y. Liu, X. Wang, S. Qi, J. Guan and L. Yao, “Pixel Meets Region: A Practical Framework for Salient Object Detection”, in Proc.of IEEE International Conference on Multimedia and Expo 2018 (ICME 2018), San Diego, USA, July 23-27, 2018. (CCF B) 5.J. Guan, X. Wang, Z. Xie, S. Qi, and W. Wang, “Joint L1-L2 Regularisation for Blind Speech Deconvolution”, in Proc. of Pacific-Rim Conference on Multimedia (PCM2017), Harbin, China, September 28-29, 2017. (CCF C) 4.J. Guan, X. Wang, S. Qi, J. Dong, and W. Wang, “Blind Speech Deconvolution via Pretrained Polynomial Dictionary and Sparse Representation”, in Proc. of Pacific-Rim Conference on Multimedia (PCM2017), Harbin, China, September 28-29, 2017. (CCF C) 3.J. Guan, X. Wang, P. Feng, J. Dong, and W. Wang, “Matrix of Polynomials Model based Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling”, in Proc. of Interspeech (INTERSPEECH 2017), Stockholm, Sweden, August 20-24, 2017.(CCF C, INTERSPEECH is a flagship conference focused on speech processing, along with ICASSP) 2.J. Guan, X. Wang, W. Wang, and Z. Xie, “Blind Deconvolution for Sparse Acoustic System”, in Proc. of the 11th IMA International Conference on Mathematics in Signal Processing, Brimingham, United Kingdom, December 12-14, 2016. 1.J. Guan, J. Dong, X. Wang, and W. Wang, “A Polynomial Dictionary Learning Method for Acoustic Impulse Response Modeling”, in Proc. of the 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Liberec, Czech Republic, August 25-28, 2015.(Invited paper)

学术兼职

国际电子工程师学会(IEEE)会员 IEEE GRSS会员 国际语音通讯协会(ISCA)会员 中国计算机学会(CCF)会员 CCF语音对话与听觉专业组委员 黑龙江省人工智能学会听觉智能专委会委员

推荐链接
down
wechat
bug