2024
[1] Dan Wang, Bo Li, Bin Song*, Chen Chen, Fei Richard Yu. HSMH: A Hierarchical Sequence Multi-hop Reasoning Model with Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. Volume 36, Issue 4, pp. 1638 - 1649. April 2024. 10.1109/TKDE.2023.3303617
[2] Dan Wang, Yingjie Liu, Bin Song*. A Credible Traffic Prediction Method Based on Self-supervised Causal Discovery. SCIENCE CHINA Information Sciences. Vol. 67, Iss. 5, 152303:1–152303:15. May 2024. 10.1007/s11432-023-3899-1
[3] Jie Guo, Hao Chen, Bin Song*, Yuhao Chi, Chau Yuen, Fei Richard Yu, Geoffrey Ye Li, and Dusit Niyato, Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence, IEEE Communications Magazine. Volume: 62, Issue: 6, pp.82-89. June 2024. 10.1109/MCOM.001.2300155
[4] Jie Guo, Longyu Wen, Yan Zhou, Bin Song*, Yuhao Chi, Fei Richard Yu, SPACE: Self-supervised Dual Preference Enhancing Network for Multimodal Recommendation, IEEE Transactions on Multimedia. Volume 26, pp. 8849 - 8859. March 2023. 10.1109/TMM.2024.3382889
[5] Yalan Jiang, Dan Wang, Bin Song*, Luo Shengyang. HDHRFL: A Hierarchical Robust Federated Learning Framework for Dual-Heterogeneous and Noisy Clients. Future Generation Computer Systems. Volume 160, November 2024, pp.185-196. 10.1016/j.future.2024.05.049.
[6] Yalan Jiang, Yang Cheng, Dan Wang, Bin Song*. RRA-FFSCIL: Inter-Intra Classes Representation and Relationship Augmentation Federated Few-shot Incremental Learning. Neurocomputing. Volume 597, 7 September 2024, 127956. 10.1016/j.neucom.2024.127956.
[7]Jie Guo, Hao Sun, Jinheng Han, Bin Song*, Yuhao Chi. Multi-task Fine-grained Feature Mining for Multi-label Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. Volume 62, 5632717. 2024. 10.1109/TGRS.2024.3426473
[8] Yalan Jiang, Dan Wang, Bin Song*, Xiaojiang Du. A Prototype-Assisted Clustered Federated Learning for Big Data Security and Privacy Preservation. Future Generation Computer Systems. Volume 161, 2024, pp.376-389. 10.1016/j.future.2024.07.032.
2023
[1]Chen Chen, Dan Wang, Bin Song*, Hao Tan. Inter-Intra Modal Representation Augmentation with DCT-Transformer Adversarial Network for Image-Text Matching. IEEE Transactions on Multimedia. Volume 25, pp. 8933 - 8945. February 2023.
[2] Chen Chen, Bin Song*, Jie Guo, Tong Zhang. Multi-dimensional shared representation learning with graph fusion network for Session-based Recommendation. Information Fusion. Volume 92, April 2023, pp. 205-215.
[3] Xu Kang, Bin Song*, Jie Guo, Hao Qin, Xiaojiang Du, M. Guizani. Black-box attacks on Image Classification Model with Advantage Actor-Critic Algorithm in Latent Space. Information Sciences. Volume 624, May 2023, pp.624-638.
[4] Chen Chen, Hansheng Hong, Jie Guo, Bin Song*. Inter-Intra Modal Representation Augmentation With Trimodal Collaborative Disentanglement Network for Multimodal Sentiment Analysis. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2023, vol. 31, pp.1476-1488.
[5] Yingjie Liu, Dan Wang, Bin Song*, Xiaojiang Du. Green Heterogeneous Computing Powers Allocation Using Reinforcement Learning in SDN-IoV. IEEE Transactions on Green Communications and Networking. Volume 7, Issue 2, pp. 983 - 995. June 2023.
[6] Dan Wang, Bo Li, Bin Song*, Peng Lin, et al. Dual-driven Resource Management for Sustainable Computing in the Blockchain-supported Digital Twin IoT. IEEE Internet of Things Journal. Volume 10, Issue 8, pp. 6549 - 6560. April 2023.
[7] Yalu Bai; Dan Wang; Gang Huang; Bin Song*. A Deep Reinforcement Learning-based Social-Aware Cooperative Caching Scheme in D2D Communication Networks. IEEE Internet of Things Journal. Volume 10, Issue 11, pp. 9634 - 9645. June 2023.
[8] Dan Wang, Yalu Bai, Gang Huang, Bin Song*, F. Richard Yu. Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning. IEEE Internet of Things Journal. Volume 10, Issue 13, pp. 11486 - 11496. July 2023.
[9]Di Zhao, Hao Qin, Ning Xin, Bin Song*. Flexible Resource Management in High-throughput Satellite Communication Systems: A Two-stage Machine Learning Framework. IEEE Transactions on Communications. Volume 71, Issue 5, pp. 2724 - 2739. May 2023.
[10] Xu Kang, Jie Guo, Bin Song*, Binghuang Cai, Hongyu Sun, Zhebin Zhang. Interpretability for Reliable, Efficient, and Self-Cognitive DNNs: From Theories to Applications. Neurocomputing, Volume 545, 7 August 2023, 126267. DOI: 10.1016/j.neucom.2023.126267
[11]Juanjuan Chen, Hansheng Hong, Bin Song*, Jie Guo, Chen Chen and Junjie Xu. MDCT: Multi-kernel Dilated Convolution and Transformer for One-Stage Object Detection of Remote Sensing Images. Remote Sensing. 2023, 15(2), 371.
[12]Yan Zhou, Jie Guo, Bin Song*, Chen Chen, Jianglong Chang and Fei Richard Yu. Trust-aware Multi-task Knowledge Graph for Recommendation. IEEE Transactions on Knowledge and Data Engineering. Volume 35, Issue 8, pp. 8658 - 8671. August 2023.
[13] Tong Zhang, Chen Chen, Dan Wang, Jie Guo and Bin Song*. A VAE-based User Preference Learning and Transfer Framework for Cross-domain Recommendation. IEEE Transactions on Knowledge and Data Engineering. Volume 35, Issue 10, pp. 10383 - 10396. October 2023.
[14] 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. 35, pp. 23725 – 23737 (2023). DOI: 10.1007/s00521-021-06280-4
[15] Jie Guo, Meiting Wang, Yan Zhou, Bin Song*, Yuhao Chi, Wei Fan, Jianglong Chang, HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval. IEEE Transactions on Multimedia. Volume 25, pp. 9189 - 9202. February 2023.
[16] Yan Zhou, Jie Guo, Hao Sun, Bin Song, and Fei Richard Yu. Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. July 23–27, 2023.
2022
[1] Dan Wang, Bin Song*, Peng Lin, et al. Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning. IEEE Internet of Things Journal. Volume 9, Issue 14, pp. 12588 - 12600. July 2022.
[2] Jiahao Wang, Bin Song*, Dan Wang. Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation. Neurocomputing. Volume 472, February 2022, pp. 45-53.
[3] Feng Gao, Bin Song*, Dan Wang, Hao Qin. MR-DARTS: Restricted Connectivity Differentiable Architecture Search in Multi-Path Search Space. Neurocomputing. Volume 482, April 2022, pp. 27-39.
[4] Dan Wang, Bin Song*, Yingjie Liu, Mingjun Wang. Secure and Reliable Computation Offloading in Blockchain-assisted Cyber-Physical IoT Systems. Digital Communications and Networks. 8, pp. 626–636. 2022.
[5] Xu Kang, Bin Song*, Jie Guo, Zhijin Qin, Fei Richard Yu. Task-Oriented Image Transmission for Scene Classification in Unmanned Aerial Systems. IEEE Transactions on Communications. Volume 70, Issue 8, pp. 5181 - 5192. August 2022.
[6] Sainan Sun, Bin Song*, Xiaohui Cai, Xiaojiang Du, Mohsen Guizani. CAMA: Class Activation Mapping Disruptive Attack for Deep Neural Networks. Neurocomputing. Volume 500, August 2022, pp. 989-1002.
[7] Xu Kang, Bin Song*, Dan Wang, Xiaohui Cai. Crafting Universal Adversarial Perturbations with Output Vectors. Neurocomputing. Volume 501, August 2022, pp. 294-305.
[8] Siqi Chen, Yanling Zhang, Bin Song*, Xiaojiang Du, Mohsen Guizani. An Intelligent Government Complaint Prediction Approach. Big Data Research. Volume 30, November 2022, 100336. DOI: 10.1016/j.bdr.2022.100336
[9] Yalu Bai, Dan Wang, Bin Song*, A Knowledge Graph-based Cooperative Caching Scheme in MEC-enabled Heterogeneous Networks, IEEE Globecom 2022 WC.
[10] Chen Chen, Jie Guo, Bin Song*, Tong Zhang. Orthogonal Vector-Decomposed Disentanglement Network of Interactive Image Retrieval for Fashion Outfit Recommendation. Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, MCFR@MM 2022, October 14, 2022, Lisboa, Portugal
2021
[1] Dan Wang, Ning Zhao, Bin Song*, et al. Resource Management for Secure Computation Offloading in Softwarized Cyber-Physical Systems. IEEE Internet of Things Journal. Volume 8, Issue 11, pp. 9294 - 9304. June 2021. doi: 10.1109/JIOT.2021.3057594
[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.2020.3043758
[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.
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/August 2020.
[3] Jie Guo, Bin Song*, Chen, Siqi, et al. Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation. IEEE Internet of Things Journal. Volume 7, Issue 7, pp. 5783 - 5791. July 2020.
[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. June 2020.
[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/rs12233857.
[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/s20185216
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. June 2019, 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. July 2019, 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. Volume 5, Issue 2, pp.347-357. June 2019.
[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/s19040821
[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/app9010135
[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/s18124500
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.2017.2705798
[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/s16122021.
[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. Journal of Visual Communication and Image Representation. 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).