五篇代表性论文

  1. 大数据分析：Shusen Yang, Liwen Zhang, Chen Xu, Hanqiao Yu, Jianqing Fan, Zongben Xu, Massive data clustering by multi-scale psychological observations, National Science Review, 2021.

  2. 大数据隐私保护：Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang*, Cong Zhao, Zongben Xu, LDP-IDS: Local Differential Privacy for Infinite Data Streams,  ACM SIGMOD, 2022.

  3. 边云协同智能（VR应用）：Shibo Wang, Shusen Yang*, Hailiang Li, Xiaodan Zhang, Chen Zhou, Chenren Xu, Feng Qian, Nanbin Wang, Zongben Xu，SalientVR: Saliency-Driven Mobile 360-Degree Video Streaming with Gaze Information, ACM Mobicom, 2022.

  4. 边云协同智能（系统架构）：Luhui Wang, Cong Zhao, Shusen Yang*, Xinyu Yang, and Julie McCann, ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence. Communications of the ACM, 2022.

  5. 联邦学习：Zihao Zhou,Yanan Li, Xuebin Ren, and Shusen Yang*,　Towards Efficient and Stable K-Asynchronous　Federated Learning with Unbounded Stale　Gradients on Non-IID Data，IEEE Transactions on Parallel and Distributed Systems, 2022.  

其余代表性论文（中科院一区期刊、IEEE/ACM Trans、CCF A类期刊/会议）

  1. Shibo Wang, Shusen Yang*, Xiao Kong, Chenglei Wu, Longwei Jiang, Chenren Xu, Cong Zhao, Xuesong Yang, Jianjun Xiao, Xin Liu, Changxi Zheng, Jing Wang*, Honghao Liu,Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming,21st USENIX Symposium on Networked Systems Design and Implementation,2024.

  2. Guiqin Wang, Peng Zhao*, Yanjiang Shi, Cong Zhao, Shusen Yang，Generative Model-based Feature Knowledge Distillation for Action Recognition，AAAI Conference on Artificial Intelligence，2024

  3. Yijun Hao,Shusen Yang*,Fang Li,Yifan Zhang, Shibo Wang,Xuebin Ren,EdgeTimer: Adaptive Multi-Timescale Scheduling in Mobile Edge Computing with Deep Reinforcement Learning,IEEE Conference on Computer Communications,2024.

  4. Yanan Li, Shusen Yang*, Xue Ren, Liang Shi and Cong Zhao,Multi-stage Asynchronous Federated Learning with Adaptive Differential Privacy,IEEE Transactions on Pattern Analysis and Machine Intelligence ,2023.

  5. Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo, Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling, IEEE/CVF International Conference on Computer Vision, 2023. 

  6. Zhanhua Zhang, Shusen Yang, Cong Zhao, Xuebin Ren, Qing Han, and Siyan Guo, RTCoInfer: Real-time Collaborative CNN Inference for Stream Analytics on Ubiquitous Images, IEEE Journal on Selected Areas in Communications,  2023.

  7. Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang, HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association, IEEE Transactions on Parallel and Distributed Systems, 2023.

  8. Luhui Wang, Xuebin Ren, Cong Zhao, Fangyuan Zhao, Shusen Yang, MPDM: A Multi-Paradigm Deployment Model for Large-scale Edge-Cloud Intelligence, IEEE Internet of Things Journal, 2023. 

  9. Xinyue Sun, Shusen Yang, Cong Zhao, Lightweight Industrial Image Classifier based on Federated Few-Shot Learning, IEEE Trans. Indust. Inform., 2023.

  10. Siyan Guo, Cong Zhao, Guiqin Wang, Jiaqing Yang, Shusen Yang, EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT, IEEE Internet of Things Journal, 2022.

  11. Shusen Yang, Zhanhua Zhang, Cong Zhao, Xin Song, Siyan Guo, Hailiang Li,CNNPC: End-Edge-Cloud Collaborative CNN Inference with Joint Model Partition and Compression, IEEE TPDS, 2022.

  12. Yijun Hao, Fang Li, Cong Zhao, Shusen Yang*,Delay-Oriented Scheduling in 5G Downlink Wireless Networks based on Reinforcement ,IEEE/ACM Transations on networking, 2022.

  13. Qing Han, Shusen Yang*, Xuebin Ren, Peng Zhao, Cong Zhao, Yimeng Wang,PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs, IEEE Trans. Indust. Inform., 2022.

  14. C Zhao, X Sun, S Yang, X Ren, P Zhao, J McCann, Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge, IEEE Network,2021.

  15. Yimeng Wang, Shusen Yang*, Xuebin ren, Peng Zhao, Cong Zhao, and Xinyu Yang, IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry. IEEE Trans. Indust. Inform. ,18(4): 2386-2398, 2021.

  16. Yimeng Wang, Cong Zhao, Shusen Yang, Xuebin Ren, Luhui Wang, Peng Zhao, Xinyu Yang, MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing. IEEE Trans. Indust. Inform., 17(9): 5898 - 5908, 2021.

  17. Cong Zhao, Shusen Yang, Julie McCann, On the Data Quality in Privacy-Preserving Mobile Crowdsensing Systems with Untruthful Reporting, IEEE Transactions on Mobile Computing，20(2): 647-661, 2021.

  18. Xuebin Ren, Chia-Mu Yu, Wei Yu, Xinyu Yang, Jun Zhao, Shusen Yang, DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data. IEEE Internet of Things Journal,8(4): 2775-2791,2021.

  19. Shibo Wang, Shusen Yang, Cong Zhao, SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning. Proc. IEEE INFOCOM 2020. 

  20. Qing Han, Shusen Yang, Xuebin Ren, et. al., OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints. IEEE Communications Magazine ,58(5): 49-55,2020.

  21. Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang, CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning.International Joint Conference on Artificial Intelligence，2020. 

  22. Fangyuan Zhao, Xuebin Ren, Shusen Yang, Qing Han, Peng Zhao, Xinyu Yang, Latent Dirichlet Allocation Model Training with Differential Privacy. IEEE Transactions on Information Forensics and Security , 16: 1290-1305, 2020.

  23. Peng Zhao, Wei Yu, Xinyu Yang, Duolun Meng, Li Wang, Shusen Yang, Jie Lin, Context-aware Multi-criteria Handover at the Software Defined Network Edge for Service Differentiation in Next Generation Wireless Networks. IEEE Transactions on Services Computing，2020

  24. Yanan Li, Xuebin Ren, Shusen Yang, Xinyu Yang, Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis. IEEE Trans. Information Forensics and Security 14(9): 2342-2357, 2019.

  25. Fangyuan Zhao, Xuebin Ren, Shusen Yang, Xinyu Yang, On Privacy Protection of Latent Dirichlet Allocation Model Training. IJCAI ，2019: 4860-4866.

  26. Peng Zhao, Xinyu Yang, Jie Lin, Shusen Yang, Wei Yu, Energy-Efficient Analytics for Geographically Distributed Big Data. IEEE Internet Computing,23(3), 18-29, 2019.

  27. T. Wang, X. Yang, Xuebin Ren, W. Yu, Shusen Yang, Locally Private High-dimensional Crowdsourced Data Release based on Copula Functions, IEEE Trans. Service Computing, 2019.

  28. Shusen Yang, Xiaofei Wang, Usman Adeel, et. al., The Design of User-centric Mobile Crowdsensing with Cooperative D2D Communications. IEEE Wireless Communications , 2018.

  29. Cong Zhao, Shusen Yang, Ping Yan, et. al., Data Quality Guarantee for Credible Caching Device Selection in Mobile Crowdsensing Systems. IEEE Wireless Communications , 2018.

  30. Xuebin Ren, Chia-Mu Yu, Weiren Yu, Shusen Yang, et. al., High-Dimensional Data Publication with Local Privacy in Mobile Crowdsensing Systems. IEEE Transactions on Information Forensics and Security , 2018.

  31. Yad Tahir, Shusen Yang, Julie McCann, BRPL: Backpressure RPL for High-throughput and mobile IoTs. IEEE Transactions on Mobile Computing , 17(1):29-43, 2018.

  32. Peng Zhao, Wei Yu, Xinyu Yang, Duolun Meng, Li Wang, Buffer Data-Driven Adaptation of Mobile Video Streaming over Heterogeneous Wireless Networks. IEEE Internet of Things Journal , vol.5, no.5, pp.3430-3441, Otc. 2018.

  33. Shusen Yang, IoT Stream Processing and Analytics in the Fog. IEEE Communications Magazine , 55(8): 21-27, 2017.

  34. Sokratis Kartakis, Shusen Yang, Julie McCann, Reliability or Sustainability: Optimal Data Stream Estimation and Scheduling in Smart Water Networks. ACM Transactions on Sensor Networks, 13(3): 18:1-18:27 (2017).

  35. Yue Cao, Shusen Yang, Geyong Min, et. al., A Cost-Efficient Communication Framework for Battery-Switch-Based Electric Vehicle Charging. IEEE Communications Magazine 55(5): 162-169 (2017).

  36. Shusen Yang, Usman Adeel, Yad Tahir, Julie McCann, Practical Opportunistic Data Collection in Wireless Sensor Networks with Mobile Sinks. IEEE Transactions on Mobile Computing , 2017.

  37. Xinyu Yang, Peng Zhao, Xialei Zhang, Jie Lin, and Wei Yu, Toward a Gaussian-Mixture Model-Based Detection Scheme Against Data Integrity Attacks in the Smart Grid. IEEE Internet of Things Journal, vol. 4, no. 1, pp. 147-161, Feb. 2017.

  38. Wenfeng Xia, Peng Zhao, Yonggang Wen, Haiyong Xie, A Survey on Data Center Networking (DCN): Infrastructure and Operations. IEEE Communications Surveys & Tutorials, Volume: 19, Issue: 1, pp: 640-656, 2017.

  39. Shusen Yang, Yad Tahir, Po-yu Chen, et. al., Distributed Optimization in Energy Harvesting Sensor Networks with Dynamic In-network DataProcessing. Proc. IEEE INFOCOM , pp.1-9, 2016.

  40. Cong Zhao, Shusen Yang, Xinyu Yang, Julie McCann, Rapid, User-Transparent, and Trustworthy Device Pairing for D2D-Enabled Mobile Crowdsourcing. IEEE Transactions on Mobile Computing , 2016.

  41. Xiaofei Wang, Zhengguo Sheng, Shusen Yang, Victor C. M. Leung, Tag-Assisted Social-Aware Opportunistic Device-to-Device Sharing for Traffic Offloading in Mobile Social Networks. IEEE Wireless Communications , 23(4):60-67, 2016.

  42. Po-Yu Chen, Shusen Yang, Julie McCann, Distributed Real-Time Anomaly Detection in Networked Industrial Sensing Systems. IEEE Transactions on Industrial Electronics , 62(6):3832-3842, 2015. 

  43. Shusen Yang, Usman Adeel, Julie McCann, Backpressure Meets Taxes: Faithful Data Collection in Stochastic Mobile Phone Sensing Systems. Proc. IEEE INFOCOM , pp.1-9, 2015.

  44. Po-Yu Chen, Shusen Yang, Julie McCann, et. al., Detection of False Data Injection in Smart-Grid Systems. IEEE Communications Magazine , 53(2):206-213, 2015.

  45. Zhengguo Sheng, Hao Wang, Changchuan Yin, Xiping Hu, Shusen Yang, Victor C. M. Leung, Lightweight Management of Resource Constrained Sensor Devices in Internet-of-Things. IEEE Internet of Things Journal , 2015.

  46. Shusen Yang, Zhengguo Sheng, Julie McCann, Kin K. Leung, Distributed Cross-layer Optimization in Stochastic Multi-hop Wireless Networks with Cooperative Communications. IEEE Transactions on Mobile Computing , 13(10): 2269-2282, 2014.

  47. Shusen Yang, Julie McCann, Distributed Optimal Lexicographic Max-min Rate Allocation in Solar Powered Wireless Sensor Networks. ACM Transactions on Sensor Networks, 11(1):1-28 2014.

  48. Shusen Yang, Usman Adeel, Julie McCann, Selfish Mules: Social Profit Maximization in Sparse Sensornets using Rationally-Selfish Human Relays. IEEE Journal on Selected Areas in Communications ,31(6):1124-1134, 2013.

  49. Shusen Yang, Xinyu Yang, Julie McCann, et. al., Distributed Networking in Autonomic Solar Powered Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications , 31(12):750-761, 2013.

  50. Zhengguo Sheng, Shusen Yang, Yifan Yu, et. al., A Survey on the IETF Protocol Suite for Internet-of-Things: Standards, Challenges and Opportunities. IEEE Wireless Communications , 20(6):91-98, 2013.

  51. Peng Zhao, Xinyu Yang, Wei Yu, and Xinwen Fu.A Loose-Virtual-Clustering-Based Routing for Power Heterogeneous MANETs. IEEE Transactions on Vehicular Technology (TVT), Jun. 2013.

  52. Peng Zhao, Xinyu Yang, Jiayin Wang, Benyuan Liu, Jie Wang. BOR/AC: Bandwidth-aware Opportunistic Routing with Admission Control in Wireless Mesh Networks. Proc. IEEE INFOCOM , pp: 2701 – 2705, 2012.

  53. Shusen Yang, XinyuYang, Chao Zhang, Evangelos Spyrou, Using social network theory for modeling human mobility.　IEEE Network, 24(5): 6-13, 2010.