Ju Ren

  Ju Ren,  Ph.D.  Ju Ren

   Depart. of Computer Science and Techology

   Tsinghua University

   Address: FIT 3529, Shuangqing Road, Tsinghua University, Beijing, 100084 China

   Email: renju AT tsinghua.edu.cn

NEWS

BRIEF BIOGRAPHY

I received his B.Sc., M.Sc., Ph.D. degrees all in computer science, from Central South University, China, in 2009, 2012 and 2016, respectively. Currently, I am an associate professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. Prior to joining Tsinghua, I was a professor with the School of Computer Science and Engineering, Central South University, Changsha, China. My research interests include Internet-of-Things, edge computing, distributed & embedded AI, and operating system. I am a senior member of the IEEE and a member of the ACM. I was recognized as a highly cited researcher by Clarivate in 2020-2022.

I am looking for self-motivated Ph.D. students who are intrested in my research areas. Please feel free to contact me, if you want to join my group.

SELECTED PUBLICATIONS [FULL LIST]

Book/Book Chapter

  1. Yaoxue Zhang, Ju Ren, Jun Lu, "计算机操作系统教程（第5版）" (Tutorial of Computer Operating System, 5th Edition), 清华大学出版社 (Tsinghua University Press), 2022. (in Chinese, ISBN: 9787302602941).
  2. Yaoxue Zhang, Ju Ren, Jun Lu, "计算机操作系统教程习题解答与实验指导（第5版）" (Key to Exercises and Experiment Instructions for the Tutorial of Computer Operating System, 5th Edition), 清华大学出版社 (Tsinghua University Press), 2022. (in Chinese, ISBN: 9787302608967).
  3. Ju Ren, Yaoxue Zhang, "openEuler操作系统（第2版）" (openEuler Operating System 2nd Edition), 清华大学出版社 (Tsinghua University Press), 2022. (in Chinese, ISBN: 9787302602941).
  4. Ju Ren, Yaoxue Zhang, Xuhong Peng, "openEuler操作系统" (openEuler Operating System), 清华大学出版社 (Tsinghua University Press), 2020. (in Chinese, ISBN: 9787302563280).
  5. Ju Ren, Ning Zhang and Xuemin (Sherman) Shen, "Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks", Springer Verlag, 2017. (ISBN-10: 3319603175, ISBN-13: 978-3319603179).
  6. Ju Ren, "Cognitive Radio Sensor Networks", Book Chapter of Encyclopaedia of Wireless Networks, Springer Verlag, 2018.

Journal & Conference Papers

  1. [IEEE ICDCS'24] M. Sun, J. Ren and Y. Zhang. “EdgeVPR: Transformer-based Real-Time Video Person Re-Identification at the Edge,” IEEE ICDCS, Accepted, 2024.
  2. [ACM IMWUT/Ubicomp] Y. Fu, Y. Zhang, H. Pan, Y. Lu, X. Li, L. Chen, J. Ren, X. Li, X. Zhang and Y. Zhang. “Pushing the Limits of Acoustic Spatial Perception via Incident Angle Encoding,” ACM IMWUT/Ubicomp, Accepted, 2024.
  3. [ACM/IEEE ToN] J. Li, J. Ren, Y. Zhang, S. Yue and Y. Zhang. “SESAME: A Resource Expansion and Sharing Scheme for Multiple Edge Services Providers,” ACM/IEEE Transactions on Networking, Accepted, doi: 10.1109/TNET.2024.3377908, 2024.
  4. [ACM MobiSys'24] Y. Fu, Y. Zhang, Y. Lu, L. Qiu, Y. Chen, Y. Wang, M. Wang, Y. Li, J. Ren and Y. Zhang. “Adaptive Metasurface-Based Acoustic Imaging using Joint Optimization,” ACM MobiSys, Conditionally Accepted, 2024.
  5. [ACM MobiSys'24] F. Jia, S. Jiang, T. Cao, W. Cui, T. Xia, X. Cao, Y. Li, Q. Wang, D. Zhang, J. Ren, Y. Liu, L. Qiu and M. Yang. “Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization,” ACM MobiSys, Conditionally Accepted, 2024.
  6. [ACM/IEEE ToN] Y. Deng, F. Lyu, T. Xia, Y. Zhou, Y. Zhang, J. Ren and Y. Yang. “A Communication-Efficient Hierarchical Federated Learning Framework Via Shaping Data Distribution at Edge,” ACM/IEEE Transactions on Networking, Accepted, doi:10.1109/TNET.2024.3363916, 2024.
  7. [ACM/IEEE IPSN'24] Y. Deng, G. Wang, S. Yue, W. Rao, Q. Zu, W. Wang, S. Chen, J. Ren and Y. Zhang. “RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning,” ACM/IEEE IPSN, Hong Kong, China, MAY 13-16, 2024.
  8. [ACM IMWUT/Ubicomp] S. Wang, L. Zhong, Y. Fu, L. Chen, J. Ren and Y. Zhang. “UFace: Your Smartphone Can Hear Your Facial Expression!,” ACM IMWUT/Ubicomp, vol. 8, no. 1, Article No. 22, pp. 1–27, 2024.
  9. [ACM/IEEE ToN] N. Qiao, S. Yue, Y. Zhang and J. Ren. “PoPeC: PAoI-Centric Task Offloading with Priority over Unreliable Channels,” ACM/IEEE Trans. on Networking, Accepted, doi:10.1109/TNET.2024.3350198, 2024.
  10. [NSDI'24] C. Du, J. Yu, R. Zhang, J. Ren and J. An. “Orthcatter: High-throughput In-band OFDM Backscatter with Over-the-Air Code Division,” USENIX NSDI, Santa Clara, CA, USA, Apr. 16–18, 2024.
  11. [IEEE INFOCOM'24] S. Yue, X. Hua, L. Chen and J. Ren. “Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency,” IEEE INFOCOM, Vancouver, Canada, May 20-23, 2024.
  12. [IEEE INFOCOM'24] S. Yue, Z. Qin, X. Hua, Y. Deng and J. Ren. “Federated Offline Policy Optimization with Dual Regularization,” IEEE INFOCOM, Vancouver, Canada, May 20-23, 2024.
  13. [IEEE INFOCOM'24] T. Xia, J. Ren, W. Rao, Q. Zu, W. Wang, S. Chen and Y. Zhang. “AeroRec: An Efficient On-Device Recommendation Framework using Federated Self-Supervised Knowledge Distillation,” IEEE INFOCOM, Vancouver, Canada, May 20-23, 2024.
  14. [IEEE INFOCOM'24] J. Qiao, Z. Zhang, S. Yue, Y. Yuan, Z. Cai, X. Zhang, J. Ren and D. Yu. “BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency,” IEEE INFOCOM, Vancouver, Canada, May 20-23, 2024.
  15. [ACM MobiCom'24] X. Li, G. Zhao, L. Chen, X. Zhang and J. Ren. “RFMagus: Programming the Radio Environment With Networked Metasurfaces,” ACM MobiCom, Washington, D.C., USA, Sept. 30 - Oct. 4, 2024.
  16. [ACM MobiCom'24] L. Chen, B. Yu, Y. Fu, J. Ren, H. Pan, J. Gummeson and Y. Zhang . “Pushing Wireless Charging from Station to Travel,” ACM MobiCom, Washington, D.C., USA, Sept. 30 - Oct. 4, 2024.
  17. [ACM MobiCom'24] R. Ma, S. Zheng, H. Pan, L. Qiu, X. Chen, L. Liu, Y. Liu, W. Hu and J. Ren. “Automated Optimization of mmWave Coverage using Low-cost Metasurfaces,” ACM MobiCom, Washington, D.C., USA, Sept. 30 - Oct. 4, 2024.
  18. [NDSS'24] Q. Li, Y. Zhang, J. Ren, Q. Li and Y. Zhang . “You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks,” NDSS, Feb. 26 - Mar. 1, San Diego, California, 2024.
  19. [VLDB'24] S. Duan, F. Lyu, X. Zhu, Y. Ding, H. Wang, D. Zhang, X. Liu, Y. Zhang and J. Ren. “VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System,” VLDB, August 25-29, Guangzhou, China, 2024.
  20. [ACM SenSys'23] Y. Deng, S. Yue, G. Wang, T. Wang, J. Ren and Y. Zhang . “FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data,” ACM SenSys, Nov. 13-15, Istanbul, Turkiye, 2023.
  21. [ACM CCS'23] P. Li, Y. Wang, Q. Li, Z. Liu, K. Xu, J. Ren, Z. Liu and R. Lin. “Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-day Web Attack Detection across Web Domains,” ACM CCS, Nov. 26-30, Copenhagen, Denmark, 2023.
  22. [IEEE JSAC] H. Lu, F. Lyu, H. Wu, J. Zhang, J. Ren, Y. Zhang and X. S. Shen. “FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving Trajectories,” IEEE Journal on Selected Areas in Communications, vol. 41, no. 12, pp. 3878-3892, 2023.
  23. [IEEE TMC] J. Zhang, H. Yang, J. Ren, D. Zhang, B. He, Y. Lee, T. Cao, Y. Li, Y. Zhang and Y. Liu. “HiMoDepth: Efficient Training-free High-resolution On-device Depth Perception,” IEEE Transactions on Mobile Computing, accepted, 2023.
  24. [IEEE TMC] W. Wang, Y. Zhang, R. Huang, J. Ren, F. Lyu and Y. Zhang. “Efficient Resource Management and Expansion Scheme for Collaborative Edge-Cloud Computing,” IEEE Transactions on Mobile Computing, Accepted, 2023.
  25. [ACM MobiSys'23] L. Chen, B. Yu, J. Ren, J. Gummeson and Y. Zhang. “Towards Seamless Wireless Link Connection,” ACM MobiSys, June 18-22, Helsinki, Finland, 2023.
  26. [IEEE TMC] J. Liu, J. Ren, Y. Zhang, X. Peng, Y. Zhang and Y. Yang. “Efficient Dependent Task Offloading for Multiple Applications in MEC-Cloud System,” IEEE Transactions on Mobile Computing, vol. 22, no. 4, pp. 2147-2162, 2023.
  27. [DAC'23] Q. Li, J. Ren, Y. Zhang, C. Song, Y. Liao and Y. Zhang. “Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators,” DAC, San Francisco, July 9-13, 2023.
  28. [ICLR'23] S. Yue, G. Wang, W. Shao, Z. Zhang, S. Lin, J. Ren and J. Zhang. “CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning,” ICLR, Kigali, Rwanda, May 1-5, 2023.
  29. [IEEE INFOCOM'23] Y. Deng, J. Ren, C. Tang, F. Lyu, Y. Liu and Y. Zhang. “A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning,” IEEE INFOCOM, New York, U.S., May 17-20, 2023.
  30. [IEEE COMST] S. Duan, D. Wang, J. Ren, F. Lyu, Y. Zhang, H. Wu and X. S. Shen. “Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey,” IEEE Communications Surveys and Tutorials, vol. 25, no. 1, pp. 591-624, 2023.
  31. [IEEE TC] D. Wang, J. Ren, Z. Wang, Y. Wang and Y. Zhang. “PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning,” IEEE Transactions on Computers, to appear, doi: 10.1109/TC.2022.3230904, 2022.
  32. [ACM SenSys'22] Y. Deng, W. Chen, J. Ren, F. Lyu, Y. Liu, Y. Liu and Y. Zhang. “TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity,” ACM SenSys, Boston, United States, Nov. 6-9, 2022.
  33. [ACM SenSys'22] Z. Fu, J. Ren, Y. Liu, T. Cao, D. Zhang, Y. Zhou and Y. Zhang. “Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL,” ACM SenSys, Boston, United States, Nov. 6-9, 2022.
  34. [ACM SenSys'22] Y. Fu, S. Wang, L. Zhong, L. Chen, J. Ren and Y. Zhang. “SVoice:Enable Voice Communication in Silence via Acoustic Sensing on Commodity Devices,” ACM SenSys, Boston, United States, Nov. 6-9, 2022.
  35. [ACM/IEEE ToN] Y. Zhang, W. Wang, J. Ren, J. Huang, S. He and Y. Zhang. “Efficient Revenue-based MEC Server Deployment and Management in Mobile Edge-Cloud Computing,” ACM/IEEE Transactions on Networking, to appear, doi: 10.1109/TNET.2022.3217280, 2022.
  36. [IEEE TDSC] X. Pang, Z. Wang, Z. He, P. Sun, M. Luo, J. Ren and K. Ren. “Towards Class-balanced Privacy Preserving Heterogeneous Model Aggregation,” IEEE Transactions on Dependable and Secure Computing, to appear, doi: 10.1109/TDSC.2022.3183170, 2022.
  37. [ACM MM'22] M. Sun, J. Ren, X. Wang, W. Zhu and Y. Zhang. “FastPR: One-stage Semantic Person Retrieval via Self-supervised Learning,” ACM Multimedia, Lisbon, Portugal, Oct. 10-14, 2022.
  38. [ACM MobiCom'22] J. Zhang, H. Yang, J. Ren, D. Zhang, B. He, T. Cao, Y. Li, Y. Zhang and Y. Liu. “MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras,” ACM MobiCom, Sydney, Australia, Oct. 17–21, 2022.
  39. [IEEE TPDS] Y. Deng, F. Lyu, J. Ren, Y-C Chen, P. Yang, Y. Zhou and Y. Zhang. “Improving Federated Learning with Quality-Aware User Incentive and Auto-Weighted Model Aggregation,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 2, pp. 4515-4529, 2022.
  40. [IEEE TMC] Y. Zhang, C. Ji, N. Qiao, J. Ren, Y. Zhang and Y. Yang. “Distributed Pricing and Bandwidth Allocation in Crowdsourced Wireless Community Networks,” IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2022.3174000, to appear, 2022.
  41. [ACM MobiSys'22] F. Jia, D. Zhang, T. Cao, S. Jiang, Y. Liu, J. Ren and Y. Zhang. “CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices,” ACM MobiSys, Portland, Oregon, Jun. 27 - Jul. 1, 2022.
  42. [IEEE ICDCS'22] Q. Li, J. Ren, X. Pan, Y. Zhou and Y. Zhang. “ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators,” IEEE ICDCS, Bologna, Italy, July 10-13, 2022.
  43. [IEEE ICDCS'22] H. Lu, F. Lyu, J. Ren, J. Yu, F. Wu, Y. Zhang and X. Shen. “CODE: Compact IoT Data Collection with Precise Matrix Sampling and Efficient Inference,” IEEE ICDCS, Bologna, Italy, July 10-13, 2022.
  44. [IEEE TMC] J. Zhang, D. Zhang, H. Yang, Y. Liu, J. Ren, X. Xu, F. Jia, and Y. Zhang. “MVPose: Realtime Multi-Person Pose Estimation using Motion Vector on Mobile Devices,” IEEE Transactions on Mobile Computing, doi:10.1109/TMC.2021.3139940, to appear, 2022.
  45. [IEEE TMC] Z. Wang, T. Zhao, J. Ma, H. Chen, K. Liu, H. Shao, Q. Wang and J. Ren. “Hear Sign Language: A Real-time End-to-End Sign Language Recognition System,” IEEE Transactions on Mobile Computing, vol. 21, no. 7, pp. 2398-2410, 2022.
  46. [IEEE ICC'22] Q. Li, J. Ren, Y. Zhou, and Y. Zhang. “Privacy-Preserving DNN Model Authorization against Model Theft and Feature Leakage,” IEEE ICC, Seoul, South Korea, May 16-20, 2022.
  47. [IEEE INFOCOM'22] J. Ren, J. Liu, Y. Zhang, Z. Li, F. Lyu, Z. Wang and Y. Zhang. “An Efficient Two-Layer Task Offloading Scheme for MEC Networks with Multiple Services Providers,” IEEE INFOCOM, London, UK, May 2-5, 2022.
  48. [IEEE INFOCOM'22] Z. Fu, J. Ren, D. Zhang, Y. Zhou and Y. Zhang. “Kalmia: A Heterogeneous QoS-aware Scheduling Framework for DNN Tasks on Edge Servers,” IEEE INFOCOM, London, UK, May 2-5, 2022.
  49. [IEEE INFOCOM'22] F. Wu, J. Ren, F. Lyu, P. Yang, Y. Zhang, D. Zhang and Y. Zhang. “Boosting Internet Card Cellular Business via User Portraits: A Case of Churn Prediction,” IEEE INFOCOM, London, UK, May 2-5, 2022.
  50. [IEEE INFOCOM'22] X. Pang, Z. Wang, J. Li, R. Zhou, J. Ren and Z. Li. “Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing,” IEEE INFOCOM, London, UK, May 2-5, 2022.
  51. [IEEE INFOCOM'22] Z. Zhou, F. Wang, J. Yu, J. Ren, Z. Wang and W. Gong. “Target-oriented Semi-supervised Domain Adaptation for WiFi-based HAR,” IEEE INFOCOM, London, UK, May 2-5, 2022.
  52. [IEEE JSAC] S. Yue, J. Ren, J. Xin, D. Zhang, Y. Zhang and W. Zhuang. “Efficient Federated Meta-Learning over Multi-Access Wireless Networks,” IEEE Journal of Selected Areas in Communications, vol.40, no. 5, pp. 1556-1570, 2022.
  53. [IEEE TMC] D. Wang, J. Ren, Z. Wang, X. Pang, Y. Zhang and X. S. Shen. “Privacy-preserving Streaming Truth Discovery in Crowdsourcing with Differential Privacy,” IEEE Trans. on Mobile Computing, vol. 21, no. 10, pp. 3757-3772, 2022.
  54. [InfoFus] D. Wang, J. Ren, Z. Wang, Y. Zhang and X. Shen. “PrivStream: A Privacy-Preserving Inference Framework on IoT Streaming Data at the Edge,” Information Fusion, vol. 80, pp. 282-294, 2022.
  55. [IEEE TPDS] S. Yue, J. Ren, N. Qiao, Y. Zhang, H. Jiang, Y. Zhang and Y. Yang. “TODG: Distributed Task Offloading with Delay Guarantees for Edge Computing,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 7, pp. 1650-1665, 2022.
  56. [IEEE TPDS] Y. Deng, F. Lyu, J. Ren, H. Wu, Y. Zhou, Y. Zhang and X. Shen. “AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1996-2009, 2022.
  57. [ACM/IEEE ToN] X. Pang, Z. Wang, D. Liu, J. Lui, Q. Wang and J. Ren. “Towards Personalized Privacy-Preserving Truth Discovery Over Crowdsourced Data Streams,” ACM/IEEE Transactions on Networking, vol. 30, no. 1, pp. 327-340, 2022.
  58. [ACM CCS'21] J. Gong, X. Zhang, J. Ren, and Y. Zhang. “The Invisible Shadow: How Security Cameras Leak Private Activities,” ACM CCS 2021, virtual conference, Nov. 11-15, 2021.
  59. [ACM Ubicomp'21] J. Gong, X. Zhang, K. Lin, J. Ren, Y. Zhang, and W. Qiu. “RF Vital Sign Sensing Under Free Body Movement,” ACM IMWUT/Ubicomp 2021, virtual conference, Sept. 21-26, 2021.
  60. [ACM MobiHoc'21] Y. Sheng, J. Ren, J. Xin, S. Lin and J. Zhang. “Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning,” ACM MobiHoc 2021, Shanghai, China, July 26-29, 2021.
  61. [ACM Ubicomp'21] J. Gong, X. Zhang, Y. Huang, J. Ren, and Y. Zhang. “Robust Inertial Motion Tracking Through Deep Sensor Fusion Across Smart Earbuds And Smartphone,” ACM IMWUT/Ubicomp 2021, virtual conference, Sept. 21-26, 2021.
  62. [IEEE ICDCS'21] Y. Deng, F. Lyu, J. Ren, P. Yang, Y. Zhang, Y. Zhou and Y. Zhang. “SHARE: Shaping Non-IID Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning,” IEEE ICDCS 2021, virtual conference, July 7-10, 2021.
  63. [IEEE INFOCOM'21] Y. Deng, F. Lyu, J. Ren, P. Yang, Y. Zhou and Y. Zhang. “FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation,” IEEE INFOCOM 2021, virtual conference, May 10-13, 2021.
  64. [IEEE TMC] F. Lyu, J. Ren, N. Cheng, P. Yang, M. Li, Y. Zhang and X. S. Shen. “LEAD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics,” IEEE Trans. on Mobile Computing, vol. 20, no. 8, pp. 2607-2623, 2021.
  65. [IEEE TMC] L. Li, T. Q. S. Quek, J. Ren, H. Yang, Z. Chen and Y. Zhang. “An Incentive-Aware Job Offloading Control Framework for Multi-Access Edge Computing,” IEEE Trans. on Mobile Computing, vol. 20, no. 1, pp. 63-75, 2021.
  66. [IEEE TCC] J. Liu, J. Ren, W. Dai, D. Zhang, P. Zhou, Y. Zhang, G. Min and N. Najjari. “Online Multi-Workflow Scheduling under Uncertain Task Execution Time in IaaS Clouds,” IEEE Transactions on Cloud Computing, vol. 9, no. 3, pp. 1180 - 1194, 2021.
  67. [ACM Sensys'20] J. Zhang, D. Zhang, X. Xu, F. Jia, Y. Liu, X. Liu, J. Ren and Y. Zhang. “MobiPose: Real-Time Multi-Person Pose Estimation on Mobile Devices,” ACM Sensys, virtual conference, Nov. 16-19, 2020.
  68. [IEEE JSAC] M. Song, Z. Wang, Z. Zhang, Y. Song, Q. Wang, J. Ren and H. Qi. “Analyzing User-Level Privacy Attack Against Federated Learning,” IEEE Journal of Selected Areas in Communications, vol. 38, no. 10, pp. 2430-2444, 2020.
  69. [ACM/IEEE ToN] Y. Zhang, X. Lan, J. Ren and L. Cai. “Efficient Computing Resource Sharing for Mobile Edge-Cloud Computing Networks,” ACM/IEEE Trans. on Networking, vol. 28, no. 3, pp. 1227-1240, 2020.
  70. [IEEE INFOCOM'20] F. Lyu, J. Ren, P. Yang, N. Cheng, Y. Zhang and X. S. Shen. “SoSA: Socializing Static APs for Edge Resource Pooling in Large-Scale WiFi System,” IEEE INFOCOM 2020, virtual conference, July 6-9, 2020.
  71. [IEEE INFOCOM'20] Z. Wang, W. Liu, X. Pang, J. Ren, Z. Liu and Y. Chen. “Towards Pattern-aware Privacy-preserving Real-time Data Collection,” IEEE INFOCOM 2020, virtual conference, July 6-9, 2020.
  72. [Proc. The IEEE] W. Zhuang, Q. Ye, F. Lyu, N. Cheng and J. Ren. “SDN/NFV-Empowered Future IoV With Enhanced Communication, Computing, and Caching,” Proceedings of The IEEE, vol. 108, no. 2, pp. 274-291, 2020.
  73. [IEEE TSC] Y. Xu, J. Ren, Y. Zhang, C. Zhang, B. Shen and Y. Zhang. “Blockchain Empowered Arbitrable Data Auditing Scheme for Network Storage as a Service,” IEEE Trans. on Services Computing, vol. 13, no. 2, pp. 289-300, 2020.
  74. [IEEE TMC] D. Zhang, L. Tan, J. Ren, M. K. Awad, S. Zhang, Y. Zhang and P. J. Wan. “Near-optimal and Truthful Online Auction for Computation Offloading in Green Edge-Computing Systems,” IEEE Trans. on Mobile Computing, vol. 19, no. 4, pp. 880-893, 2020.
  75. [IEEE TVT] J. Ren, K. M. Mahfujul, F. Lyu, S. Yue and Y. Zhang. “Joint Channel Allocation and Resource Management for Stochastic Computation Offloading in MEC,” IEEE Trans. on Vehicular Technology, vol. 69, no. 8, pp. 8900-8913, 2020.
  76. [InfoSci] W. Tang, K. Zhang, J. Ren, Y. Zhang and X. S. Shen. “Privacy- preserving Task Recommendation with Win-win Incentives for Mobile Crowdsourcing,” Information Science, vol. 527, no. 7, pp. 477-492, 2020.
  77. [ACM CSUR] J. Ren, D. Zhang, S. He, Y. Zhang and T. Li. “A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms,” ACM Computing Surveys, vol. 52, no. 6, article no. 125, 2019.
  78. [ACM TITS] W. Tang, J. Ren, K. Zhang, D. Zhang, Y. Zhang and X. S. Shen. “Efficient and Privacy-preserving Fog-assisted Health Data Sharing Scheme,” ACM Trans. on Information Systems and Technology, vol. 10, no. 6, pp. 1-23, 2019.
  79. [IEEE IoT-J] W. Tang, J. Ren, K. Deng and Y. Zhang. “Secure Data Aggregation of Lightweight E-healthcare IoT Devices with Fair Incentives,” IEEE Internet-of-Things Journal, vol. 6, no. 5, pp. 8714-8726, 2019.
  80. [IEEE TMM] Y. Guo, B. Zou, J. Ren, Q. Liu, D. Zhang and Y. Zhang. “Distributed and Efficient Object Detection via Interactions among Devices, Edge and Cloud,” IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2903-2915, 2019.
  81. [IEEE JSAC] S. He, J. Ren, J. Wang, Y. Huang, Y. Zhang, W. Zhuang and X. S. Shen. “Edge-Cloud Coordinated Processing: Low-Latency Multicasting Transmission,” IEEE Journal of Selected Areas in Communications, vol. 37, no. 5, pp. 1144-1158, 2019.
  82. [IEEE HPCC'19] D. Wang, J. Ren, C. Xu, J. Liu, Z. Wang, Y. Zhang, and X. S. Shen. “PrivStream: Enabling Privacy-Preserving Inferences on IoT Data Stream at the Edge,” IEEE HPCC 2019, Zhangjiajie, China, Aug. 12-15, 2019. (Outstanding Paper Award)
  83. [IEEE ICC'19] F. Lyu, J. Ren, N. Cheng, P. Yang, Z. Wang, M. Li, Y. Zhang and X. S. Shen. “Big Data Analytics for User Association Characterization in Large-Scale WiFi System,” IEEE ICC 2019, Shanghai, China, May 20-24, 2019. (Best Paper Award)
  84. [IEEE INFOCOM’19] Z. Wang, J. Li, J. Hu, J. Ren, Z. Li and Y. Li. “Towards Privacy- preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform,” IEEE INFOCOM 2019, Paris, France, April 29 - May 2, 2019.
  85. [IEEE ICDCS’19] F. Lyu, J. Ren, N. Cheng, P. Yang, M. Li, Y. Zhang and X. S. Shen. “Demystifying Traffic Statistics for Edge Cache Deployment in Large-Scale WiFi System,” IEEE ICDCS 2019, Dallas, TX, July 7-9, 2019.
  86. [IEEE IoT-J] C. Xu, J. Ren, D. Zhang, Y. Zhang, Z. Qin and K. Ren. “EdgeSanitizer: Locally Differentially Private Deep Inference at the Edge for Mobile Data Analytics,” IEEE Internet-of-Things Journal, vol. 6, no. 3, pp. 5140-5151, 2019.
  87. [IEEE TII] Y. Xu, J. Ren, J. Yang, G. Wang and Y. Zhang. “A Blockchain-based Non-Repudiation Network Computing Service Scheme for Industrial IoT,” IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3632-3641, 2019.
  88. [IEEE TMM] W. Tang, J. Ren and Y. Zhang. “Enabling Trusted and Privacy-preserving Healthcare Services in Social Media Health Networks,” IEEE Transactions on Multimedia, vol. 21, no. 3, pp. 579-590, 2019.
  89. [IEEE TVT] J. Ren, S. Yue, D. Zhang, Y. Zhang and J. Cao. “Joint Channel Assignment and Stochastic Energy Management for RF-Powered OFDMA WSNs,” IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1578-1592, 2019.
  90. [IEEE TETC] J. Ren, Y. Zhang, R. Deng, N. Zhang, D. Zhang and X. S. Shen. “Joint Channel Access and Sampling Rate Control in Energy Harvesting Cognitive Radio Sensor Networks,” IEEE Transactions on Emerging Topics in Computing, vol. 7, no. 1, pp. 149-161, 2019.
  91. [IEEE IoT-J] D. Zhang, Y. Qiao, L. She, R. Shen, J. Ren and Y. Zhang. “Two Time- Scale Resource Management for Green Internet of Things Networks,” IEEE Internet-of-Things Journal, vol. 6, no. 1, pp. 545-556, 2019.
  92. [IEEE TMC] W. Tang, K. Zhang, J. Ren, Y. Zhang and X. S. Shen. “Flexible and Efficient Authenticated Key Agreement Scheme for BANs Based on Physiological Features,” IEEE Transactions on Mobile Computing, vol. 18, no. 4, pp. 845-856, 2019.
  93. [IEEE ComMag] C. Xu, J. Ren, D. Zhang and Y. Zhang. “Distilling at the Edge: A Local Differential Privacy Obfuscation Framework for IoT Data Analytics,” IEEE Communications Magazine, vol. 56, no. 8, pp. 20-25, 2018.
  94. [IEEE IoT-J] X. Peng, J. Ren, L. She, D. Zhang, J. Li and Y. Zhang. “BOAT: A Block-Streaming App Execution Scheme for Lightweight IoT Devices,” IEEE Internet-of-Things Journal, vol. 5, no. 3, pp. 1816-1829, 2018.
  95. [IEEE INFOCOM’18] P. J. Wan, H. Yuan, J. Wang, J. Ren and Y. Zhang, "Selection And Scheduling of Communication Requests in Multi-Channel Wireless Networks under SINR Model," IEEE INFOCOM 2018, Honolulu, HI, April 15-19, 2018.
  96. [IEEE WCL] D. Zhang, R. Shen, J. Ren and Y. Zhang. “Delay-optimal Proactive Service Framework for Block-Stream as a Service,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 598-601, 2018.
  97. [IEEE NetMag] J. Ren, Y. Guo, D. Zhang, Q. Liu and Y. Zhang. “Distributed and Efficient Object Detection in Edge Computing: Challenges and Solutions,” IEEE Network, vol. 32, no. 6, pp. 137-143, 2018.
  98. [IEEE TII] J. Ren, J. Hu, R. Deng, D. Zhang, Y. Zhang and X. S. Shen. “Joint Load Scheduling and Voltage Regulation in Distribution System with Renewable Generators,” IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1564-1574, 2018.
  99. [IEEE ComMag] J. Ren, J. Hu, D. Zhang, H. Guo, Y. Zhang and X. S. Shen. “RF Energy Harvesting and Transfer in Cognitive Radio Sensor Networks: Opportunities and Challenges,” IEEE Communications Magazine, vol. 56, no. 1, pp. 104-110, 2018.
  100. [JPDC] H. Guo, J. Ren, Y. Zhang and J. Hu. “A Scalable and Manageable IoT Architecture based on Transparent Computing,” Journal of Parallel and Distributed Computing, vol. 118, no. 1, pp. 5-13, 2018.
  101. [IEEE WCM] N. Zhang, P. Yang, J. Ren , D. Chen, L. Yu and X. S. Shen. “Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges,” IEEE Wireless Communications, vol. 25, no. 1, pp. 12-18, 2018.
  102. [IEEE TVT] D. Zhang, Z. Chen, L. X. Cai, H. Zhou, S. Duan, J. Ren, Y. Zhang and X. S. Shen. “Resource Allocation for Green Cloud Radio Access Networks with Hybrid Energy Supplies,” IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1684-1697, 2018.
  103. [IEEE NetMag] J. Ren, H. Guo, C. Xu and Y. Zhang. “Serving at the Edge: A Scalable IoT Architecture based on Transparent Computing,” IEEE Network, vol. 31, no. 5, pp. 96-105, 2017.
  104. [CJE] Y. Zhang, J. Ren, J. Liu, C. Xu, H. Guo and Y. Liu. “A survey on Emerging Computing Paradigms for Big Data,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 1-12, 2017.
  105. [IEEE ComMag] K. Zhang, J. Ni, K. Yang, X. Liang, J. Ren and X. S. Shen. “Security and Privacy in Smart City Applications: Challenges and Solutions,” IEEE Communications Magazine, vol. 55, no. 1, pp. 122-129, 2017.
  106. [IEEE TWC] J. Ren, Y. Zhang, Q. Ye, K. Yang, K. Zhang and X. S. Shen. “Exploiting Secure and Energy Efficient Collaborative Spectrum Sensing for Cognitive Radio Sensor Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 10, pp. 6813-6827, 2016.
  107. [IEEE TWC] J. Ren, Y. Zhang, K. Zhang and X. S. Shen. “Adaptive and Channel- Aware Detection of Selective Forwarding Attacks in Wireless Sensor Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3718-3731, 2016.
  108. [IEEE TWC] J. Ren, Y. Zhang, N. Zhang, D. Zhang and X. S. Shen. “Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3143-3156, 2016.
  109. [IEEE TII] J. Ren, Y. Zhang, K. Zhang, A. Liu, J. Chen and X. S. Shen. “Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks,” IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 788-800, 2016.
  110. [IEEE ComMag] J. Ren, Y. Zhang, K. Zhang and X. S. Shen. “Exploiting Mobile Crowd- sourcing for Pervasive Cloud Services: Challenges and Solutions,” IEEE Communications Magazine, vol. 53, no. 3, pp. 98-105, 2015.
  111. [ComCom] J. Ren, Y. Zhang, K. Zhang and X. S. Shen. “SACRM: Social Aware Crowdsourcing with Reputation Management in Mobile Sensing,” Computer Communications, vol. 65, no. 1, pp. 55-65, 2015.

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Last Updated: 2021-08-25