基本信息
宋彬　
教授/博导
博士学科：信息与通信工程
硕士学科：信息与通信工程　
工作单位：通信工程学院

联系方式
通信地址：西安电子科技大学通信工程学院104信箱（邮编710071）
电子邮箱：bsong@mail.xidian.edu.cn
办公电话：(029)**
办公地点：北校区科技楼A502室


个人简介
2002年12月毕业于西安电子科技大学通信与信息系统专业，获得工学博士学位，毕业后留校任教，在综合业务网理论及关键技术国家重点实验室工作至今，IEEE 高级会员，二级教授，国家重点研发计划项目负责人，现任综合业务网理论及关键技术国家重点实验室副主任。


主要研究方向
近期从事的主要研究方向包括媒体大数据新技术：多模态数据融合、基于图像内容的识别与机器学习、基于深度学习的大数据智能分析、强化学习、推荐系统等，该方向主持国家自然基金项目、教育部中移动联合项目、陕西省产业链重点项目、博士点基金、中国移动、OPPO广东移动通信有限公司、青莲网络公司、崤云信息服务公司等合作项目20项，已授权国家技术发明专利29项。以及机器学习与5G/6G 相结合的研究方向：针对低轨星座、车联网、边缘计算等场景求解5G/6G 中的波束、频谱与功率等空口资源调度与管理问题，低轨道移动通信系统星地通信体制、天基移动通信物联网空中接口、基于LTE技术的卫星移动通信模拟器及演示系统等，该方向承研国家重点研发计划、国家自然科学基金、陕西省科学技术厅、航天五院、航天科工集团二院、航天恒星合作项目、华为公司合作项目15项，已授权国家技术发明专利21项。并获2014年军队科技进步贰等奖1项、2015年军队科技进步三等奖1项。
近期在国内外期刊录用/发表论文100余篇，包括：IEEE Communications Surveys and Tutorials, IEEE Journal on Selected Areas in Communications,Information Fusion, IEEE Network, IEEE Communications Magazine,IEEE Wireless Communications, IEEEInternetofThingsJournal,IEEE Transactions on Multimedia，IEEE Transactions on Vehicular Technology,IEEE Transactions on Intelligent Transportation Systems, IEEE Signal Processing Letters，Future Generation Computer Systems, IEEE Access, IEEE Transactions on Cognitive Communications and Networking, ACM Transactions on Multimedia Computing Communications and Applications, Journal of Visual Communication and Image Representation，International Journal of Communication Systems，Machine Vision and Applications, Multimedia Systems，IET signal processing，IET image processing，Electronics Letters，Optical Engineering，ETRI Journal，IEICE Trans. on Communications，Chinese Journal of Electronics，电子学报、通信学报、计算机学报、高技术通信等。完成译著《认知网络测量与大数据》,电子工业出版社；编著《多模态数据融合与检索技术》，西电出版社。
同中国移动通信集团陕西有限公司建立大数据应用与深度学习联合实验室，同OPPO广东移动通信有限公司建立多媒体通信技术联合实验室，同广州青莲网络科技有限公司建立边缘智能技术联合实验室

---

基本信息
宋彬　
教授/博导
博士学科：信息与通信工程
硕士学科：信息与通信工程　
工作单位：通信工程学院

联系方式
通信地址：西安电子科技大学通信工程学院104信箱（邮编710071）
电子邮箱：bsong@mail.xidian.edu.cn
办公电话：(029)**
办公地点：北校区科技楼A502室


个人简介
2002年12月毕业于西安电子科技大学通信与信息系统专业，获得工学博士学位，毕业后留校任教，在综合业务网理论及关键技术国家重点实验室工作至今，IEEE 高级会员，二级教授，国家重点研发计划项目负责人，现任综合业务网理论及关键技术国家重点实验室副主任。


主要研究方向
近期从事的主要研究方向包括媒体大数据新技术：多模态数据融合、基于图像内容的识别与机器学习、基于深度学习的大数据智能分析、强化学习、推荐系统等，该方向主持国家自然基金项目、教育部中移动联合项目、陕西省产业链重点项目、博士点基金、中国移动、OPPO广东移动通信有限公司、青莲网络公司、崤云信息服务公司等合作项目20项，已授权国家技术发明专利29项。以及机器学习与5G/6G 相结合的研究方向：针对低轨星座、车联网、边缘计算等场景求解5G/6G 中的波束、频谱与功率等空口资源调度与管理问题，低轨道移动通信系统星地通信体制、天基移动通信物联网空中接口、基于LTE技术的卫星移动通信模拟器及演示系统等，该方向承研国家重点研发计划、国家自然科学基金、陕西省科学技术厅、航天五院、航天科工集团二院、航天恒星合作项目、华为公司合作项目15项，已授权国家技术发明专利21项。并获2014年军队科技进步贰等奖1项、2015年军队科技进步三等奖1项。
近期在国内外期刊录用/发表论文100余篇，包括：IEEE Communications Surveys and Tutorials, IEEE Journal on Selected Areas in Communications,Information Fusion, IEEE Network, IEEE Communications Magazine,IEEE Wireless Communications, IEEEInternetofThingsJournal,IEEE Transactions on Multimedia，IEEE Transactions on Vehicular Technology,IEEE Transactions on Intelligent Transportation Systems, IEEE Signal Processing Letters，Future Generation Computer Systems, IEEE Access, IEEE Transactions on Cognitive Communications and Networking, ACM Transactions on Multimedia Computing Communications and Applications, Journal of Visual Communication and Image Representation，International Journal of Communication Systems，Machine Vision and Applications, Multimedia Systems，IET signal processing，IET image processing，Electronics Letters，Optical Engineering，ETRI Journal，IEICE Trans. on Communications，Chinese Journal of Electronics，电子学报、通信学报、计算机学报、高技术通信等。完成译著《认知网络测量与大数据》,电子工业出版社；编著《多模态数据融合与检索技术》，西电出版社。
同中国移动通信集团陕西有限公司建立大数据应用与深度学习联合实验室，同OPPO广东移动通信有限公司建立多媒体通信技术联合实验室，同广州青莲网络科技有限公司建立边缘智能技术联合实验室

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学术论文
2021
[1] Dan Wang,Ning Zhao,Bin Song*, et al. Resource Management for Secure Computation Offloading in Softwarized Cyber-Physical Systems.IEEEInternetofThingsJournal. Volume 8, Issue 11, pp. 9294 - 9304. June2021.doi:10.1109/JIOT.2021.**
[2] Jie Guo, Yan Zhou, Peng Zhang, Bin Song*.Trust-Aware Recommendation Based on Heterogeneous Multi-Relational Graphs Fusion. Information Fusion. Volume 74, October 2021, pp. 87-95.doi:10.1016/j.inffus.2021.04.001
[3]Yuwen Chen, Bin Song*, Yuan Zeng,et al.Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation.Applied Soft Computing.Volume 100, March 2021, 106907. doi: j.asoc.2020.106907
[4]Zeng Yuan,Bin Song*,et al.Few-Shot Scale-Insensitive Object Detection for Edge Computing Platform. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2020.**
[5]Dan Wang, Hao Qin, Bin Song*, et al.Joint Resource Allocation and Power Control for D2D Communication with Deep Reinforcement Learning in MCC.Physical Communication.Volume 45, April 2021, 101262. doi: j.phycom.2020.101262
[6] Yinghua Li, He Yu,Bin Song*, et al.Image Encryption Based on a Single-round Dictionary and Chaotic Sequences in Cloud Computing. Concurrency and Computation: Practice and Experience.Volume 33, Issue 7. April 2021.DOI: 10.1002/cpe.5182
[7] Chen chen, Jie Guo,Bin Song*.Dual Attention Transfer in Session-based Recommendation with Multi Dimensional Integration.The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. July 11-15, 2021.
[8]Yuwen Chen, Bin Song*, Xiaojiang Du,Mohsen Guizani.A Deep Learning Based Approach for Fault Diagnosis of Current-Carrying Ring in Catenary System.Neural Computing and Applications.Accept.
2020
[1]Sijia Chen, Bin Song*,et al. Structured Bayesian Compression for Deep models in mobile-enabled devices for connected healthcare. IEEE Network . Volume 34, Issue 2, pp. 142- 149. March/April 2020.
[2]Jie Guo, Wenwen Luo,Bin Song*,et al. Intelligence-Sharing Vehicular Networks with Mobile Edge Computing and Spatiotemporal Knowledge Transfer. IEEE Network. Volume 34, Issue 4, pp. 256 - 262. July/August2020.
[3] Jie Guo,Bin Song*, Chen, Siqi, et al. Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation. IEEEInternetofThingsJournal. Volume 7, Issue 7, pp. 5783- 5791. July2020.
[4]Xi Yang , Xiaoting Nan, and Bin Song*. D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition.IEEE Transactions on Geoscience and Remote Sensing.Volume 58, Issue 5, pp. 3667-3676. May 2020.
[5]Dan Wang, Wei Zhang, Bin Song*, et al. Market-Based Model in CR-IoT: A Q-Probabilistic Multi-agent Reinforcement Learning Approach. IEEE Transactions on Cognitive Communications and Networking. Volume 6, Issue 1, pp.179-188. March 2020.
[6]Di Zhao, Hao Qin, Bin Song*, et al. A Reinforcement Learning Method for Joint Mode Selection and Power Adaptation in the V2V Communication Network in 5G. IEEE Transactions on Cognitive Communications and Networking. Volume 6, Issue 2, pp.452-463. June2020.
[7] Yuwen Chen,Bin Song*,et al. The enhancement of catenary image with low visibility based on multi-feature fusion network in railway industry.Computer Communications.152 (2020) :200–205.
[8] Xu Kang,Bin Song*, et al.Adversarial Attacks for Image Segmentation on Multiple Lightweight Models.IEEE Access. Vol. 8, pp. 31359- 31370. February 2020.
[9]Junjie Xu, Bin Song*, Xi Yang and Xiaoting Nan. An Improved Deep Keypoint Detection Network for Space Targets Pose Estimation. Remote Sensing. 2020, 12, 3857; doi:10.3390/rs**.
[10] Di Zhao , Hao Qin, Bin Song*, et al.A Graph Convolutional Network-Based Deep Reinforcement Learning Approach for Resource Allocation in a Cognitive Radio Network.Sensors.2020, 20(18), 5216; https://doi.org/10.3390/s**

2019
[1]Jie Guo,Bin Song*, Peng Zhang, Mengdi Ma, Wenwen Luo, Junmei lv.Affective Video Content Analysis Based on Multimodal Data Fusion in Heterogeneous Networks. Information Fusion.Volume 51, November 2019, pp.224-232.
[2]Dan Wang,Bin Song*, Dong Chen,et al. Intelligent Cognitive Radio in 5G: AI-Based Hierarchical Cognitive Cellular Networks.IEEE Wireless Communications Magazine. June2019, pp. 54-61.
[3]Jie Guo,Bin Song*, et al. Fast Video Frame Correlation Analysis for Vehicular Networks by Using CVS-CNN. IEEE Transactions on Vehicular Technology.July2019, 68(7): 6286-6292
[4]Jie Guo,Bin Song*, et al. Deep Neural Network-Aided Gaussian Message Passing Detection for Ultra-Reliable Low-Latency Communications. Future Generation Computer Systems.95(2019), pp. 629-638.
[5]Junmei Lv,Bin Song*, et al. Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation.IEEE Access. Vol. 7, pp.12809 - 12821. January 2019.
[6]Yinghua Li;Bin Song*; Jie Guo, et al. Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity.IEEE Access. Vol. 7, pp. 25897- 25907. February 2019.
[7]Yuwen Chen;Bin Song*; et al. Infrared Small Target Detection through Multiple Feature Analysis Based on Visual Saliency.IEEE Access. Vol. 7, pp. 38996- 39004. April 2019.
[8]Dan Wang, Hao Qin, Bin Song*, et al. Resource Allocation in Information-centric Wireless Networking with D2D-enabled MEC:A Deep Reinforcement Learning Approach.IEEE Access. Vol. 7, pp. 114935 - 114944. February 2019.
[9]Sijia Chen,Bin Song*, et al. Multi-modal Data Semantic Localization with Relationship Dependencies for Efficient Signal Processing in EH CRNs. IEEE Transactions on Cognitive Communications and Networking. Volume5, Issue 2, pp.347-357. June2019.
[10] Xu Kang,Bin Song*, Jie Guo, et al.Self-Selective Correlation Ship Tracking Method for Smart Ocean System.Sensors. 2019, 19(4), 821. DOI:10.3390/s**
[11]Xu Kang,Bin Song*, Fengyao Sun. Deep Similarity Metric Method based on Incomplete Data for IOT Anomaly Detection under Traffic Scene.Applied Sciences. 2019, 9(1), 135. DOI:10.3390/app**
[12] Xiuxia Cai,Bin Song*. Exemplar based Regular Texture Synthesis Using Long Short-Term Memory. Pattern Recognition Letters.Vol. 128, pp. 226- 230. December 2019.
2018
[1] Dan Wang, Dong Chen, Bin Song*, et al. From “IoT”to “5G I-IoT”: The Next Generation IoT-Based Intelligent Algorithms and 5G Technologies. IEEE Communications Magazine.Volume: 56, Issue: 10, pp.114-120. Oct. 2018.
[2]Li Zhen, Hao Qin,Bin Song*, et al. Random Access Preamble Design and Detection for Mobile Satellite Communication Systems.IEEE Journal on Selected Areas in Communications.Vol. 36, No. 2, pp.280-291. Feb.2018
[3]Yue Zhang,Bin Song*, Du Xiaojiang. Vehicle Tracking Using Surveillance with Multimodal Data Fusion.IEEE Transactions on Intelligent Transportation Systems.Volume: 19, Issue: 7, pp.2353 - 2361.July 2018.
[4]Sijia Chen, Bin Song*, and Jie Guo. Attention Alignment Multimodal LSTM for Fine-Gained Common Space Learning. IEEE Access. Vol. 6, pp.20195 - 20208. April 2018.
[5]Yue Zhang, Bin Song*, Su Gao, et al. Monopolistic Models for Resource Allocation: A Probabilistic Reinforcement Learning Approach. IEEE Access. Vol. 6, pp.49721 - 49731. September 2018.
[6]Mengjie Zhao,Bin Song*, Yue Zhang, Hao Qin. Face Verification Based on Deep Bayesian Convolutional Neural Network in Unconstrained Environment.Signal, Image and Video Processing.Volume 12, Issue 5, pp.819–826. July 2018.
[7]Xiuxia Cai,Bin Song*. Image based Pencil Drawing Synthesized Using Convolutional Neural Network Feature maps. Machine Vision and Applications. Volume 29, Issue 3, pp. 503–512.April 2018.
[8]Sijia Chen,Bin Song*, Jie Guo,et al. FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval.Computer Networks.Volume 143, pp.98 – 111. October 2018.
[9] Xiuxia Cai,Bin Song*. Semantic object removal with convolutional neural network feature-based inpainting approach. Multimedia Systems.Volume 24, Issue 5, pp. 597 - 609. October 2018.
[10]Li Zhen,Hao Qin,Bin Song*, Rui Ding. Leveraging high-order statistics and classification in frame timing estimation for reliable vehicle-to-vehicle communications.IET Communications.Volume 12, Issue 8, pp. 883-891. May 2018.
[11] Xu Kang, Bin Song*, Jie Guo. Attention-mechanism-based tracking method for intelligent Internet of vehicles. International Journal of Distributed Sensor Networks. 2018, Vol. 14(10).
[12]Yuwen Chen, Bin Song*. An effective infrared small target detection method based on the human visual attention. Infrared Physics & Technology. 95(2018):128-135.
[13] Yinghua Li,Bin Song*, Xu Kang, et al.Vehicle-Type Detection Based on Compressed Sensing and Deep Learning in Vehicular Networks.Sensors.2018, 18(12), 4500. DOI:10.3390/s**
2017
[1] Jie Guo, Bin Song*,F. Richard Yu, Ying He, and Mehdi Sookhak. A Survey on Compressed Sensing in Vehicular Infotainment Systems. IEEE Communications Surveys and Tutorials.Vol. 19, No. 4, pp. 2662-2680, 2017.
[2] Jie Guo, Bin Song*, Fei Richard Yu, Zheng Yan, Laurence T. Yang. Exploration of Multimedia Big Data in the Compressive Measurement Domain under Mobile Distributed Architecture. Future Generation Computer Systems. 76(2017), pp. 519-527.
[3] Yue Zhang, Bin Song*, Peng Zhang. Social Behavior Study under Pervasive Social Networking Based on Decentralized Deep Reinforcement Learning. Journal of Network and Computer Applications. vol. 86, 2017, pp. 72-81.
[4] Yu Wang, Bin Song*,Peng Zhang. A Fast Feature Fusion Algorithm in Image Classification for Cyber Physical Systems. IEEE Access. Vol. 5, 2017, pp.9089 - 9098. DOI:10.1109/ACCESS.2017.**
[5]Xi Yang, Xinbo Gao, Bin Song, and Dong Yang. Aurora image search with contextual CNN feature. Neurocomputing, 2017, 226(C): 212-220.
[6] An Unbalanced Data Hybrid-Sampling Algorithm Based on Multi - Information Fusion. Sijia Chen, Bin Song*, Jie Guo, Xiaojiang Du. Globecom2017.
[7] Xueli Huang, Xiaojiang Du, Bin Song. An Effective DDoS Defense Scheme for SDN. IEEE ICC2017.
[8] Longfei Wu , Xiaojiang Du , Jie Wu , Bin Song. Achieving Fair Spectrum Allocation for Co-Existing Heterogeneous Secondary User Networks. ICCCN2017.
2016
[1] Yue Zhang, Fang Tian, BIN SONG and Xiaojiang Du. Social Vehicle Swarms: a Novel Perspective on Social-aware Vehicular Communication Architecture. IEEE Wireless Communications, August 2016, pp.82-89.
[2] Jie Guo, Bin Song and Xiaojiang Du. Significance Evaluation of Video Data over Media Cloud Based on Compressed Sensing. IEEE Transactions on Multimedia, Vol. 18, No. 7, pp. 1297-1304, 2016.
[3] Xiuxia Cai, Bin Song. Combining Inconsistent Textures Using Convolutional Neural Networks. Journal of Visual Communication and Image Representation. Volume 40, Part A, October 2016, pp. 366–375.
[4] Jie Guo, Bin Song, Fang Tian, Hao Qin. Texture Classification with Cross-Covariance Matrices in Compressive Measurement Domain. Signal, Image and Video Processing. Volume 10, Issue 8, November 2016, pp.1377-1384.
[5] YINGHUA LI, BIN SONG, RONG CAO, YUE ZHANG and HAO QIN. Image Encryption based on Compressive Sampling and Scrambled Index for Secure Multimedia Transmission. ACM Transactions on Multimedia Computing, Communications and Applications. Vol. 12, No. 4s, Article 62, September 2016, pp. 62-1---- 62-22.
[6] Fang TIAN, Jie GUO, Bin SONG, Haixiao LIU, and Hao QIN. Distributed Compressed Video Sensing with Joint Optimization of Dictionary Learning and l1-Analysis Based Reconstruction. IEICE Trans. on Information and Systems.Vol.E99-D, No.4, pp.1202-1211, Apr. 2016.
[7] Fang Tian, Haixiao Liu, Bin Song*, Hao Qin, Guangliang Ren. Belief Propagation Based Compressed Video Sensing for 5G Communications. International Journal of Communication Systems. Volume 29, Issue 16, 10 November 2016, pp.2427–2438.
[8] Yue Zhang, Bin Song*, Ying Zhang, Xiaojiang Duand Mohsen Guizani. Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning. Sensors. 2016, 16(12), 2021. DOI: 10.3390/s**.
[9] Ping Dong, Bin Song*, Hongke Zhang, Xiaojiang Du. Improving Onboard Internet Services for High-Speed Vehicles by Multipath Transmission in Heterogeneous Wireless Networks. IEEE Transactions on Vehicular Technology.,2016.06, 65(12): 9493-9597
[10] Li Zhen, Hao Qin, Bin Song, Rui Ding. fr[ant]ame timing estimation based on statistical analysis for orthogonal frequency division multiplexing systems in multipath fading channels. IET Communications. 2016.10, 10(16):2125-2134.
[11]X. X. Cai, B. song, X. J. Du, Large Scale Structure Optimization for Texture Synthesis, Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2016.
[12] L. Zhen, H. Qin, R. Ding, et al.: Sounding Reference Signal Based Timing Advance Adjustment for LTE-Satellite Mobile Communication Systems. IEEE International Symposium on Wireless Personal Multimedia Communications, Oct. 2016.
2015
[1] Haixiao Liu, Bin Song, Fang Tian, Hao Qin, Xiao Liu.Optimal-Correlation-Based Reconstruction for Distributed Compressed Video Sensing. JournalofVisualCommunicationandImageRepresentation. Vol. 31, pp.197-207, Aug. 2015.
2014
[1] Haixiao Liu, Bin Song, Fang Tian and Hao Qin. Joint Sampling Rate and Bit-Depth Optimization in Compressive Video Sampling. IEEE Transactions on Multimedia. Volume 16 Issue 6, June 2014, pp. 1-14.
[2] Wei Wu, Bin Song. Just-noticeable-distortion based fast coding unit size decision algorithm for High Efficiency Video Coding. Electronics Letters, Volume 50, issue 6, March 2014, pp. 443-444.
[3] Haixiao Liu, Bin Song, Fang Tian and Hao Qin. Compressed Sensing With Partial Support Information: Coherence-Based Performance Guarantee and ADMM Reconstruction Algorithm. IET signal processing, Volume 8, Issue 7, pp.749 – 758, Sep. 2014.
[4] Haixiao Liu, Bin Song, Fang Tian, Hao Qin. Regularised reweighted BPDN for compressed video sensing. Electronics Letters. Volume 50, issue 2, January 2014, pp. 83-84.
[5] Bin Song, Jie Guo, Lingquan Li, Haixiao Liu. Estimation of Measurements for Block-Based Compressed Video Sensing: A Study of Correlation Noise in Measurement Domain. IET image processing, Volume 8, Issue 10, pp.561 – 570, Oct. 2014.
[6] Jie GUO, Bin SONG, Fang TIAN, Haixiao LIU, and Hao QIN. Perception of image characteristics with compressive measurements. IEICE Trans. on Information and Systems. Vol.E97-D, No.12, pp.3234-3235, Dec. 2014.
[7] Tian Fang, Haixiao Liu, Bin Song and Guangliang Ren. Belief propagation based compressed video streaming in wireless multimedia sensor networks. IEEE CIT2014, Xi'an, China, Sep. 2014, pp. 327-331.
[8] Jie Guo, Bin Song, Haixiao Liu and Hao Qin. Motion Estimation in Measurement Domain for Compressed Video Sensing. IEEE CIT2014, Xi'an, China, Sep. 2014, pp. 441-445.
2013
[1] Haixiao Liu, Bin Song, Hao Qin and Zhiliang Qiu. An Adaptive-ADMM Algorithm with Support and Signal Value Detection for Compressed Sensing. IEEE Signal Processing Letters. Vol.20, No.4, pp.315-318, Apr. 2013.
[2]Haixiao Liu, Bin Song , Hao Qin , Zhiliang Qiu. Dictionary Learning Based Reconstruction for Distributed Compressed Video Sensing. Journal of Visual Communication and Image Representation. Vol.24, Issue 8, Nov. 2013.
2012
[1] SONG Bin, LIU Haixiao and QIN Hao, A Direct Inter-Mode Selection Algorithm for P-fr[ant]ame in Fast H.264/AVC Transcoding, IEICE Trans. on Communications. Vol.E95-B, No.06, pp.2101-2108, Jun. 2012.
[2] Liu Haixiao, Song Bin, Liu Jing, Qin Hao. Rate-Distortion Optimized Quantization for DC Coefficients of Wyner-Ziv fr[ant]ame in Unidirectional Distributed Video Coding. IET image processing, Volume 6, Issue 8, pp.1064-1074, Nov. 2012.
[3] QIN Hao, SONG Bin, ZHAO Yue, and LIU Haihua, Adaptive Correlation Noise Model for Transform Domain Wyner-Ziv Video Coding, ETRI Journal, vol. 34, no. 2, pp.190-198, Apr. 2012.
[4] 秦浩，彭学露，宋彬，刘海华, “无反馈分布式视频编码中Wyner-Ziv帧的鲁棒重构算法”, 通信学报，2012，32(1): 167-173.
[5] 秦浩，屈蓓，宋彬，杨明明, “分布式视频编码系统中Wyner-Ziv帧码率控制算法”, 西安电子科技大学学报，2012，39(4):33-38.
2011
[1]Song Bin, Qin Hao, Yang Mingming and Gu Lifeng. Selective Retransmission Method for HARQ. IEICE Trans. on Communications. Vol.E94-B, No.03, pp.796-797, Mar. 2011.
[2]Song Bin, Qin Hao, Peng Xuelu and Qin Yanhui. Adaptive selective retransmission algorithm for video communications in congested networks.IEICE Trans. on Communications. Vol.E94-B, No.06, pp.1788-1791, Jun. 2011.
[3]Wu Wei, Song Bin, “One-pass source coding distortion estimation scheme for real-time video coding,”Optical Engineering, Vol. 50, No. 6, pp. 067401-067401-12, June 2011.
[4]Wu Wei, Song Bin, “DC coefficient distributions for P-fr[ant]ames in H.264/AVC,”ETRI Journal, Vol. 33, No. 5, pp. 814-817, October 2011.
[5]Liu Haixiao, Song Bin, Qin Hao, Qiu Zhiliang, "A Dictionary Generation Scheme for Block-Based Compressed Video Sensing", Proceedings of ICSPCC 2011, Xi'an, China, Sep. 2011.
[6]Liu Jing, Liu Haixiao, Song Bin, Qin Hao. Optimal Quantization for DC Coefficient of Wyner-Ziv fr[ant]ame in Unidirectional Distributed Video Coding, the Third IET International Communication Conference on Wireless, Mobile & Computing, Nov. 2011.
[7] 宋彬，杨明明，秦浩，贺红. Wyner-Ziv视频编码中无反馈速率控制算法研究，通信学报. 2011，32(12):1-7.
2010
[1]宋彬，贺红，刘海华，秦浩. Wyner-Ziv视频编码中边信息生成算法研究，通信学报. 2010，31(12): 97-103.
2009
[1]宋彬，蒋小兵等. 基于H.264具有抗分组丢失能力的帧内刷新算法. 电子学报. 2009, 37(1): 221-224.
[2]宋彬，郭春芳等. 基于H.248协议的视频通信带宽分配策略. 电子学报. 2009, 37(2): 393-397.
[3]宋彬，李子诺等. 视频通信中的选择性重传技术. 西安交通大学学报. 2009, 43(6): 82-87.
2008
[1]Song Bin, Qin Hao. Bandwidth Reallocation Strategy for Video Communications on NGN. IEICE Trans. on Communications. 2008, E91-B(9): 3037-3040.
[2]Song Bin, Qin Hao. Adaptive Intra Refresh for Robust H.264/AVC Transmission. IEICE Trans. on Communications. 2008, E91-B(11): 3796-3798.
2007
[1] Song Bin, Qin Hao. Fast Prediction Mode Selection for H.264/AVC Video Coding. Chinese Journal of Electronics.2007, 16(3): 515-518.
[2]宋彬等. H.264帧间预测模式的快速选择算法. 电子学报. 2007, 35(4): 697-700.
[3]宋彬, 郭春芳等. 一种基于H.264视频通信的交织保护算法. 通信学报, 2007, 28(6): 74-79.
[4]宋彬, 秦浩等. 保证H.264视频通信质量的实时传输协议载荷. 西安交通大学学报. 2007,41(12): 1455-1459.
2006
[1] 宋彬，常义林，周宁兆 基于H.264帧间预测的快速算法. 电子学报. 2006,34(1).
[2] 孙献璞，张艳玲，宋彬 采用动态令牌的MANET多址接入协议. 电子学报. 2006,34(1).
[3] 周宁兆，宋彬，常义林 基于H.264的视频通信抗分组丢失方法研究. 计算机学报. 2006，29(2).
[4] 宋彬，周宁兆，常义林，罗忠 H.264帧内预测快速算法. 西安电子科技大学学报, 2006，33(1).
2005
[1] 宋彬，常义林，周宁兆 基于H.264整数变换的预先零判决算法. 西安电子科技大学学报, 2005，32(4).
2004
[1] 宋彬，常义林 基于H.263+/H.26L的视频抗误码方法研究. 通信学报, 2004, 25(4A).
2003
[1] 宋彬，常义林Interactive Error-Resilient Technique for Video Transport over Wireless Channels. Chinese Journal of Electronics, 2003, 12(3).
[2] 宋彬，常义林，马林华，罗忠，王静 一种新颖实用的交互式视频抗误码方法. 电子学报, 2003, 31(4).
[3] 宋彬，常义林 基于H.26L的视频抗误码方法研究，西安电子科技大学学报，2003, 30(4).
[4] 宋彬，常义林 实时H.263+视频编码器的DSP实现. 通信学报, 2003, 24(8).
2002
[1] 宋彬，常义林 视频通信抗误码方法研究的新进展. 电子学报, 2002, 30(10).
[2] 宋彬，常义林，马林华，艾达 基于H.263中PEI域的视频抗误码方法研究. 电子学报, 2002，30(8).
[3] 宋彬，常义林 视频通信中的抗误码方法研究. 高技术通讯, 2002, 12(4).
2001
[1] 宋彬，常义林 基于主观质量控制的数字视频综合抗误码技术. 电子学报, 2001, 29(7).

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荣誉获奖
[01] 科研项目获军队科技进步叁等奖，2015.12。
[02] 科研项目获军队科技进步贰等奖，2014.12。
[03] 论文《视频通信抗误码方法研究的新进展》获陕西省第八届自然科学优秀学术论文二等奖，2003.12。
[04] 科研项目《多媒体通信的关键技术研究》获西安电子科技大学优秀科研成果奖一等奖，2003.5。
已授权的国家技术发明专利：
[01]“插值图像内存组织、分数像素生成及预测误差指标计算方法”（国内申请号：9.4），发明人：罗忠，宋彬，常义林,王静。
[02] “视频压缩的运动估计方法”（国内申请号：6.5），发明人：罗忠,宋彬，常义林，周宁兆。
[03] “帧间预测模式的选择方法”（国内申请号：0.3），发明人：罗忠，宋彬，常义林。
[04] “帧内预测模式的选择方法”（国内申请号：3.1），发明人：罗忠，宋彬，常义林，周宁兆。
[05] “零块预判条件的确定方法及零块预先判定方法”（国内申请号：9.9），发明人：罗忠，宋彬，常义林,王静。
[06] “支持错误弹性的多媒体数据网络实时传送方法”（国内申请号：0.2），发明人：宋彬,罗忠。
[07] “一种基于纠删码的数据传输保护方法”（国内申请号：6.7），发明人：罗忠，宋彬，常义林。
[08] “基于H.264的压缩视频传输误码消除方法”（国内申请号：6），发明人：宋彬, 罗忠、常义林、周宁兆。
[09] “基于H.264的视频传输保护方法”（国内申请号：7.6），发明人：宋彬、常义林、周宁兆、罗忠。
[10] “支持错误弹性的多媒体数据网络实时传送方法”（国内申请号：0.2），发明人：宋彬,罗忠。
[11] “H.264多媒体通信的服务质量监测方法”（国内申请号：1.7），发明人：罗忠，宋彬。
[12] “多媒体通信方法及其终端”（国内申请号：3.5），发明人：罗忠，宋彬。
[13]基于FEC的选择重传系统及其重传方法，ZL5.X，发明人：宋彬;古立峰;秦浩，已授权，2012.2.8
[14] 基于快速模式判决的H.264/AVC高效转码器，ZL3.4，发明人：秦浩;刘海啸;宋彬;古立峰，已授权，2012.5.23
[15] 基于分布式视频编码的边信息生成系统及方法，ZL3.5，发明人：宋彬;贺红;秦浩;刘海华;杨明明，已授权，2012.2.8
[16] 具有鲁棒性的无反馈Wyner-Ziv视频解码器，ZL 3.1，发明人：宋彬;刘海华;彭学露;杨明明;赵月，已授权，2012.7.25
[17]基于直接模式选择的H.264/AVC快速转码方法及装置，ZL0.5，发明人：秦浩;刘海啸;宋彬，已授权，2012.12.5
[18] 基于Wyner-Ziv视频编码的Wyner-Ziv帧码率控制系统和方法，ZL9.5，发明人：宋彬;屈蓓;秦浩;杨明明;刘海华，已授权，2012.12.26
[19] 基于无反馈速率控制的Wyner-Ziv视频编码系统及方法，ZL0.0，发明人：宋彬;贺红;秦浩;杨明明;刘海华，已授权，2013.1.23
[20] 基于分布式视频编码自适应相关噪声模型构造系统及方法，ZL0.7，发明人：宋彬;赵月;刘海华;杨明明，已授权，2013.1.23
[21] 基于Wyner-Ziv视频编码系统的GOP层编码方法，ZL7.6，发明人：宋彬;杨明明;彭学露;屈蓓;刘海华，已授权，2013.02.27
[22] 基于视频服务质量的混合选择重传方法，ZL5.2，发明人：宋彬;秦浩;彭学露;赵月;秦艳辉，已授权，2013.03.20
[23] 基于分布式视频压缩感知系统非关键帧的重构方法，ZL3.5，发明人：宋彬;刘海啸;姜平;刘晶，已授权， 2013.11.06
[24] 基于运动矢量的目标检测方法，ZL5.2，发明人：吴炜;黄鹏;罗霁;宋彬，已授权，2014.09.17
[25] 基于压缩感知的视频图像帧间运动估计方法，ZL1.X，发明人：宋彬;李玲泉;郭洁;秦浩;刘海啸，已授权，2015.07.15
[26] 全数字解调中无时钟提取的位同步系统，ZL3.3，发明人：宋彬; 孙南南;秦浩;杜飞飞，已授权，2015.08.05
[27] 基于字典与游长编码的移动设备内存压缩方法，ZL0.4，发明人：宋彬；陈浩；宋秉玺；童碧峰；郭洁；刘烨，已授权，2016.04.13
[28] 基于多层哈希结构与游程编码的数据无损压缩方法，ZL0.2，发明人：宋彬; 郭洁；宋秉玺；秦浩；胡衬，已授权，2016.04.27
[29] 基于率失真优化的HEVC码率控制方法，ZL9.7, 发明人：吴炜;宋彬;王杰;姬瑞旭，已授权，2016.05.25
[30] 基于字典的内存页面压缩方法，ZL8.X, 发明人：宋彬；裴远；宋秉玺；李慧玲；甄立，已授权，2016.07.06
[31] 基于测量域块分类的视频压缩感知编码系统及方法，ZL5.8, 发明人：宋彬;尹东芹;郭洁;秦浩;刘海啸，已授权，2016.08.03
[32] 基于支撑集和信号值检测的视频压缩感知重构方法，ZL4.3，发明人：田方；宋彬；魏正；刘海啸；李莹华，已授权，2016.12.28
[33] 提升视频图像清晰度的方法，ZL0.8，发明人：田方；宋彬；罗丽红；张志群，已授权，2017.03.16
[34] 嵌入式设备文件系统数据的快速无损压缩方法，ZL1.1，发明人：田方;宋彬;李慧玲;裴远，2017.04.05
[35] 提升夜间拍照图像配准精度的方法，ZL6.X，发明人：宋彬;陈鹏， 2017.04.17
[36] 基于纹理信息重构的不同光照两帧图像融合方法，ZL1.1，发明人：宋彬;王博， 2017.04.18
[37] 嵌入式设备内存数据的快速无损压缩方法，ZL7.5，发明人：宋彬;李慧玲;秦浩;裴远，2017.05.24
[38] 基于颜色空间特点的食物图像色彩增强方法，ZL6.0，发明人：宋彬、杨荣坚，2017.12.28
[39] LTE上行定时同步跟踪方法，ZL1.2，发明人：秦浩;甄立;张燕丽;宋彬，2018.01.17
[40] 一种双目视觉的图像超分辨率融合去噪方法，ZL9.9，发明人：宋彬;杨荣坚;曹茸;李莹华;秦浩，2018.09.03
[41] 融合颜色特征与卷积神经网络的彩色图像特征提取方法，ZL1.4，发明人：宋彬;王宇;田方;赵梦洁;秦浩，2018.08.07
[42] 基于卷积神经网络和贝叶斯决策的人脸验证方法，ZL1.1，发明人：宋彬;赵梦洁;徐琛;秦浩， 2018.12.17
[43] 基于测量域分块显著性检测的压缩感知图像重构方法，ZL7.7，发明人：宋彬;王宇， 2019.02.13
[44] 基于信道状态信息的活动人员数量估计方法，ZL8.X，发明人：秦浩;柯旭;李鹏;宋彬，2019.03.26
[45] 基于立体视觉的行人检测与测距方法，ZL3.X，发明人：宋彬;杨荣坚， 2019.05.14
[46] 基于深度卷积生成式对抗网络的车牌字符识别方法，ZL.0，发明人：宋彬;王丹;关韬;黄家冕，2019.08.29
[47] 基于卷积神经网络的任意尺寸样本纹理合成方法，ZL5.4，发明人：宋彬;吴科永;郭洁;蔡秀霞;秦浩，2019.09.19
[48] 用于对自然场景图像中文本的定位方法，ZL7.7，发明人：宋彬;黄家冕;郭洁;王丹;秦浩，2019.12.24
[49] 一种D2D通信中联合资源分配和功率控制方法，ZL5.7，发明人：宋彬;许珂;王丹;秦浩，2020.05.22
[50] 基于深度学习的低功耗快速检测图像目标方法，ZL9.6，发明人：宋彬;吴广伟;郭洁;梁大卫，2020.06.16

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科研团队
团队教师：
孙献璞 教授
王楠楠 教授
秦浩 副教授
张艳玲 副教授
杨曦 副教授
赵力 副教授
郭洁 讲师
王明君 讲师
王丹 讲师
在读博士研究生：
2017级：
余舰，主要研究：机器学习与计算机视觉
陈玉文，主要研究：多模态大数据的特征提取、数据融合、小样本学习等
2018级：
赵迪，主要研究：强化学习、多智能体，及其在无线通信中应用
2019级：
康煦，主要研究：可解释学习，深度对抗学习，跨媒体内容理解与分析
刘颖杰，主要研究：元学习，边缘智能
2020级：
李波，主要研究：深度强化学习，元学习，多智能体
2021级：
陈宸，主要研究：跨模态数据理解与分析
姜亚兰，主要研究：计算机视觉，边缘智能
已毕业博士研究生：
刘海啸：华为公司
郭 洁：西安电子科技大学
蔡秀霞：西安邮电大学
甄 立：西安邮电大学
张 悦：西北工业大学
李莹华：西安邮电大学
王 丹：西安电子科技大学
硕士研究生：
2005级：蒋小兵（中电建设计院） 郭春芳（中兴） 文玉亮（中兴） 庞银平（中兴）
2006级：邹箭（百度）罗广涛（爱立信）庞耀华（创业）张翾（移动）李兵伟（华为）张东川（ESWIN）
2007级：刘海啸（华为）李子诺（西安科技大）贺红 秦艳辉（诺基亚）古立峰（科思）
2008级：杨明明（恩艾仪器）崔旭升（中手游）王辉（爱立信）刘海华（华为）张超（第一太平戴维斯）王斌（华为）
2009级：张学富（华为）吴汶泰（中电30所）刘晶（腾讯）赵月 彭学露
2010级：胡一博 姜平（姜平）赵文超（烽火）胡双（华为）刘哲 李玲泉（深圳虾皮信息科技）杜飞飞（江南机电设计所）孙南南（中电54所）
2011级：李海川（字节跳动）王彦超（西光所）胡衬（朗讯）朱传传（兆芯）宋秉玺（中电54所）郭洁（西电）陈义如（移动）李紫阳（数码视讯）
2012级：李莹华（西邮）张志群（华为）裴远（三星）罗丽红（海康威视）李金健（中电54所）李闯（字节跳动）李慧玲（腾讯）赵丙风 （中电54所）
2013级：王博（美团）王二磊 陈鹏（淘宝）陈曦（腾讯）朱宁（海能达）蒋国良（浙商银行）魏正（西交大读博）
2014级：杨荣坚（朴朴电子商务）付竹竹（中兴）柯旭（华为）曹茸（华为）王宇（滴滴）赵梦洁（有赞科技）段正兵（商汤）
2015级：康煦（西电读博）吴科永（华为）黄家冕（欢聚时代）陈思佳（多伦多大学读博）张颖（联通）关韬（联通）
2016级：徐琛（腾讯）孙峰瑶（阿里）刘之奎（中科院计算所）姚继鹏（中国重汽）匡立洋（华为）吕军梅（农行）梁大卫（第四范式）
2017级：罗文雯（华为）马梦迪（字节跳动）南晓停（中行）许珂（ThoughtWorks）周琳（华为）史旺顺（海康威视）
2018级：王佳浩（阿里）蔡小辉（华为）肖奕恒（腾讯）徐龙涛（字节跳动）曾元（华为）赵迪（西电读博）任劲安（华为）
2019级：刘俊杰 许俊杰 高峰 陈宸 陈德鹏 张国帅 李彤
2020级：张桐 孙赛楠 马茜元 韩璐 储波

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课程教学
目前承担的本科生主干课程：
《无线通信》
研究生课程：
《多模态数据检索技术》

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新增栏目0
近期团队承担的主要科研项目如下所示：
1、主持国家重点研发计划重点专项项目
2、国家自然科学基金，基于图神经网络和有模型深度强化学习的5G/6G空口资源调度方法
3、国家自然科学基金，面向多模态大数据的演进式深度增强学习方法
4、国家自然科学基金，基于视频信号空时稀疏的压缩感知重构方法
5、国家自然科学基金，基于视频信号空时稀疏的认知压缩采样
6、国家自然科学基金，分布式视频编码的关键技术研究
7、教育部-中国移动科研基金项目，基于深度增强学习的智能化营销系统关键技术研究
8、陕西省重点产业创新链项目，基于多模态大数据认知的智慧旅游个性化精准推荐系统
9、博士点基金，基于视频压缩感知的重构方法研究
10、中国移动通信集团陕西有限公司，大数据联合实验室产学研项目
11、中国移动通信集团陕西有限公司，大数据联合实验室产学研二期项目
12、航天五院，基于人工智能的空间XX图像分析
13、航天五院，基于LTE改进的低轨卫星星地XX设计与演示验证
14、航天五院，面向多星协同的卫星移动通信系统XX研究
15、航天五院，卫星XX信道建模与物联网空中接口技术研究
16、航天五院，XX星座高效传输及路由协议设计与演示验证
17、航天五院，基于XX的卫星移动通信模拟器及演示系统
18、崤云信息服务股份有限公司，面向政务大数据的人工智能应用技术研究
19、天迈科技股份有限公司，公共交通大数据分析与调度优化软件研发
20、惠国征信服务股份有限公司，基于深度学习的企业融资征信模型算法研究
21、三星电子（中国）研发中心，高性能无损数据压缩算法
22、三星电子（中国）研发中心，无损数据压缩的快速实现算法
23、三星电子（中国）研发中心，基于HVS的视频后处理处理方法研究
24、三星电子（中国）研发中心，基于HVS的图像和视频质量增强方法及实现
25、美国Broadcom Foundation，compressed image/video sensing

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招生要求
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关于研究生招生的信息：
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招生意向：
计划招收的硕士研究生在西电本部为每年5名。其中保送研究生3名，直接报考的学生2名。直接报考的学生按照考试成绩+面试成绩排名在学院规定的名额内录取。另外，在西电杭州研究院招生每年3~4名。
计划招收的博士研究生为每年1~2名。
如有其他问题请咨询通信工程学院办公室和研究生院招生办。

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Profile
Dr. Bin Song
Full Professor at Xidian University
Department :School of Telecommunications Engineering
Doctoral major: communication and information system
Post-graduated major: communication and information system

Contact Information
Snail-mail: School of Telecommunications Engineering, P.O. Box 104, Xidian University, (Postcode: 710071)
Email: bsong@mail.xidian.edu.cn
Tel(office): (029)**
Office Address: Room A502, Science Building, North Campus, Xidian University


Introduction
Bin Song received the BS, MS, and PhD in communication and information systems from Xidian University, Xi’an, China, in 1996, 1999, and 2002, respectively. In 2002, he joined the School of Telecommunications Engineering, Xidian University,where he is currently a professor in communications and information systems. He is also the associate director of State Key Laboratory of Integrated Services Networks, IEEE Senior member.

Research Interests
1. Novel technology for video coding: including distributed video coding, compressed sensing based video coding, HVS-based post processes, content-based image recognition and machine learning, image and video big data.
2. Embedded multimedia communication system: including services enabling multiple formats of video transcoding, wireless multimedia communication terminals, LTE-based simulators and demonstrator for mobile satellite communications, storage and distribution of multimedia big data under wireless network environments.

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Research
Professor Bin Song has been working on the research area of multi-media communication and multimedia big data. He has hosts projects from The National Natural Foundation of China, National Defense Pre-research Foundation, Sci-tech Department of Shaanxi Province, 5^thAerospace Academy, 2^ndAerospace Academy of Science and Industry, Space star technology co., LTD, HUAWEI TECHNOLOGIES CO., LTD, Samsung Electronics, Hui Guo Credit State Services Co., Ltd, Broadcom Company.

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Papers
[1]
[2]
[3]
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[5]
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[7];
[8]
[9]

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Honors
Membership
IEEE member, IEICE member
Technical Program Chair
IEEE CIT2014

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Team
Teachers in our research group：
Xianpu Sun
Hao Qin
Yanlin Zhang
LiZhao
Xi Yang
NannanWang
Ph. D Candidates
Jie Guo ,Yinghua Li, Xiuxia Cai, Li Zhen, Yue Zhang, Jian Yu, Xinping Rao
Graduated Ph. D student：
Haixiao Liu, HUAWEI TECHNOLOGIES CO., LTD
Master Students：
2005 Fall: Xiao Bin Jiang, Chunfang Guo, Yuliang Wen, Yinping Pang
2006 Fall：Jian Zou, Guangtao Luo,Yaohua Pang, Xuan Zhang, Bingwei Li, Dongchuan Zhang
2007 Fall：Haixiao Liu, Zinuo Li, Yanhui Qin, Lifeng Gu, Hong HE
2008 Fall：Ming Ming Yang, Xusheng Cui, Hui Wang, Haihua Liu, Chao Zhang, Bin Wang
2009 Fall：Yue Zhao, Xuelu Peng, Xuefu Zhang, Wentai Wu, Jing Liu
2010 Fall：Yibo Hu, Ping Jiang, Wenchao Zhao, Shuang Hu, Zhe Liu, Lingquan Li, Feifei DU, Nannan Sun
2011Fall：Haichuan Li, Yanchao Wang, Chen Hu, Chuanchuan Zhu, Bingxi Song, Jie Guo,Yiru Chen, Ziyang Li
2012 Fall：Yinghua Li, Zhiqun Zhang, Yuan Pei, Lihong LUO, Jinjian Li, Chuang Li, Huiling Li, Bingfeng Zhao
2013 Fall：Bo Wang, Erlei Wang, Peng Chen, Xi Chen, Ning Zhu, Guoliang Jiang, Zheng Wei
2014 Fall：RongJian Yang, Zhuzhu Fu, Xu Ke, Rong Cao, Yu Wang, Mengjie Zhao, Zhengbing Duan
2015 Fall：Xu Kang, Keyong Wu, Jiamian Huang, Sijia Chen, Ying Zhang, Tao Guan
2016 Fall：Chen Xu, Fengyao Sun, Zhikui Liu, Jipeng Yao, Liyang Kuang, Junmei Lv, Dawei Liang

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Teaching
Undergraduate course: Wireless Communication

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Admission
Enrollment plan for Ph. D students:
2 students each year
Enrollment plan for master students:
7 students each year, including 5 recommended postgraduate students and 2 applicants from the postgraduate entrance examination