Jian Tang

Home Research Publications Teaching Students Service

 

2021 (Underlined authors are/were my students)

  1. C. H. Liu, C. Piao, X. Ma, Y. Yuan, J. Tang, G. Wang, K. K. Leung,
    Modeling citywide crowd flows using attentive convolutional LSTM,
    IEEE ICDE'2021, Accepted. (PDF)

  2. Z. Dai, H. Wang, C. H. Liu, R. Han, J. Tang and G. Wang,
    Mobile crowdsensing for data freshness: a deep reinforcement learning approach,
    IEEE INFOCOM'2021 (Acceptance Ratio: 19.9%), Accepted. (PDF)

  3. Y. Huang, H. Zhao, X. Qiao, J. Tang and L. Liu,
    Towards video streaming analysis and sharing for multi-device interaction with lightweight DNNs,
    IEEE INFOCOM'2021 (Acceptance Ratio: 19.9%), Accepted. (PDF)

  4. Z. Xu, J. Tang, C. Yin, Y. Wang, G. Xue, J. Wang and M. C. Gursoy,
    ReCARL: resource allocation in cloud RANs with deep reinforcement learning,
    IEEE Transactions on Mobile Computing, In press. (PDF)

  5. Z. Xu, D. Yang, J. Tang, Y. Tang, T. Yuan, Y. Wang and G. Xue,
    An actor-critic-based transfer learning framework for experience-driven networking,
    IEEE/ACM Transactions on Networking, In press. (PDF)

  6. T. Zhang, S. Ye, X. Feng, X. Ma, K. Zhang, Z. Li, J. Tang,
    StructADMM: achieving ultra-high efficiency in structured pruning for DNNs,
    IEEE Transactions on Neural Networks and Learning Systems, In press. (PDF)

  7. Y. Wang, C. Piao, C. H. Liu, C. Zhou and J. Tang,
    Modeling user interests with online social network influence by memory augmented sequence learning,
    IEEE Transactions on Network Science and Engineering, In press. (PDF)

  8. 2020

  9. Z. Xu, K. Wu, Z. Che, J. Tang and J. Ye,
    Knowledge transfer in multi-task deep reinforcement learning for continuous control,
    NeurIPS'2020 (AR: 20%). (PDF)

  10. Y. Guan, P. Zhao, B. Wang, Y. Zhang, C. Yao, K. Bian and J. Tang,
    Differentiable feature aggregation search for knowledge distillation,
    ECCV'2020 (AR: 27%). (PDF)

  11. X. Ma, W. Niu, T. Zhang, S. Liu, S. Lin, H. Li, W. Wen, X. Chen, J. Tang, K. Ma, B. Ren and Y. Wang,
    An image enhancing pattern-based sparsity for real-time inference on mobile devices,
    ECCV'2020
    (AR: 27%). (PDF)

  12. N. Liu , X. Ma, Z. Xu, Y. Wang, J. Tang and J. Ye,
    AutoCompress: an automatic DNN structured pruning framework for ultra-high compression rates,
    AAAI'2020
    (AR: 20.6%). (PDF)

  13. X. Ma, F-M. Guo,W. Niu, X. Lin, J. Tang, K. Ma, B. Ren and Y. Wang,
    PCONV: the missing but desirable sparsity in DNN weight pruning for real-time execution on mobile device,
    AAAI'2020
    (AR: 20.6%). (PDF)

  14. S. Li, C. H. Liu, Q. Lin, B. Xie, Z. Ding, G. Huang and J. Tang, Domain conditioned adaptation network,
    AAAI'2020 (AR: 20.6%). (PDF)

  15. R. Yu, G. Xue, Y. Wan, J. Tang, D. Yang and Y. Ji,
    Robust resource provisioning in time-varying edge networks,
    ACM MobiHoc'2020
    (AR: 15.3%), pp. 21-30. (PDF)

  16. C. H. Liu, Z. Dai, H. Yang, and J. Tang,
    Multi-task-oriented vehicular crowdsensing: a deep learning approach,
    IEEE INFOCOM'2020
    ;(AR: 19.8%). (PDF)

  17. C. H. Liu, C. Piao and J. Tang,
    Energy-efficient UAV crowdsensing with multiple charging stations by deep learning,
    IEEE INFOCOM'2020;(AR: 19.8%). (PDF)

  18. Y. Huang, X. Qiao, J. Tang, P. Ren, L. Liu, C. Pu and J. Chen,
    DeepAdapter: a collaborative deep learning framework for the mobile web using context-aware network pruning,
    IEEE INFOCOM'2020;(AR: 19.8%). (PDF)

  19. C. Yin, J. Tang, Z. Xu and Y. Wang, Memory augmented deep recurrent neural network for video question answering,
    IEEE Transactions on Neural Networks and Learning Systems, Vol. 31, No. 9, 2020, pp. 3159-3167. (PDF)

  20. R. Han, C. H. Liu, S. Li, L. Y. Chen, G. Wang, J. Tang and J. Ye,
    SlimML: removing non-critical input data in large-scale iterative machine learning,
    IEEE Transactions on Knowledge and Data Engineering, In press. (PDF)

  21. C. H. Liu, X. Ma, X. Gao and J. Tang,
    Distributed energy-efficient multi-UAV navigation for long-term communication coverage by deep reinforcement learning,
    IEEE Transactions on Mobile Computing, Vol. 19, No. 6, 2020, pp. 1274-1285. (PDF)

  22. Y. Zhan, C. H. Liu, Y. Zhao, J. Zhang and J. Tang,
    Free market of multi-leader multi-follower mobile crowdsensing: an incentive mechanism design by deep reinforcement learning,
    IEEE Transactions on Mobile Computing, Vol. 19, No. 10, 2020, pp. 2316-2329. (PDF)

  23. Y. Zhang, M. Li, Yang, D. Yang, J. Tang and G. Xue and J. Xu, Trade-off between location quality and privacy in crowdsensing:
    an optimization perspective, IEEE Internet of Things (IoT) Journal, Vol. 7, No. 4, 2020, pp. 3535-3544. (PDF)

    2019

  24. T. Yuan, W. Deng, J. Tang, B. Chen and Y. Tang,
    Signal-to-noise ratio: a robust distance metric for deep metric learning,
    CVPR'2019 (AR: 25.2%). (PDF)

  25. J. Xu, J. Tang, Z. Xu, C. Yin, K. Kwiat and C. Kamhoua,
    A deep recurrent neural network based predictive control framework for reliable distributed stream data processing,
    IEEE IPDPS'2019. (PDF)

  26. Y. Wang, Z. Zhan, J. Li, J. Tang, B. Yuan, L. Zhao, W. Wen, S. Wang and X. Lin,
    Universal approximation property and equivalence of stochastic computing-based neural networks and binary neural networks,
    AAAI'2019. (PDF)

  27. J. Lin, D. Yang, J. Tang, K. Wu and G. Xue, A sybil-resistant truth discovery framework for mobile crowdsensing,
    IEEE ICDCS'2019 (AR: 19.6%). (PDF)

  28. Y. Zhang, M. Li, D. Yang, J. Tang and G. Xue,
    Optimizing location quality in privacy preserving crowdsensing,
    IEEE Globecom'2019. (PDF)

  29. R. Yu, Y. Wan, V. T. Kilari, G. Xue, J. Tang and D. Yang,
    P4PCN: Privacy-preserving path probing for payment channel networks,
    IEEE Globecom'2019. (PDF)

  30. H. Wu, L. Wang, G. Xue, J. Tang and D. Yang,
    Privacy-preserving and trustworthy mobile sensing with fair incentives,
    IEEE ICC'2019
    . (PDF)

  31. Z. Xu, J. Tang, C. Yin, Y. Wang and G. Xue,
    Experience-driven congestion control: when multi-path TCP meets deep reinforcement learning,
    IEEE Journal on Selected Areas in Communications (JSAC),
    Special Issue on AI and Machine Learning for Networking and Communications, Vol. 37, No. 6, 2019, pp. 1325-1336. (PDF)

  32. H. Wu, L. Wang, G. Xue, J. Tang and D. Yang,
    Enabling data trustworthiness and user privacy in mobile crowdsensing,
    IEEE/ACM Transactions on Networking, Vol. 27, No. 6, 2019, pp. 2294-2307. (PDF)

  33. N. Liu, Y. Liu, B. Logan, Z. Xu, J. Tang and Y. Wang,
    Deep reinforcement learning for dynamic treatment regimes on medical registry data,
    Scientific Reports (Open Access) , 2019. (PDF)

  34. C. H. Liu, J. Xu, J. Tang and J. Crowcroft,
    Social-aware sequential modeling of user interests: a deep learning rapproach,
    IEEE Transactions on Knowledge and Data Engineering, Vol. 31, No. 11, 2019, pp. 2200-2212. (PDF)

  35. H. Gao, C. H. Liu, J. Tang, D. Yang, P. Hui and W. Wang,
    Online quality-aware incentive mechanism for mobile crowd sensing with extra bonus,
    IEEE Transactions on Mobile Computing, Vol. 18, No. 11, 2019, pp. 2589-2603. (PDF)

  36. M. Li, D. Yang, J. Lin, M. Li and J. Tang,
    SpecWatch: A framework for adversarial spectrum monitoring with unknown statistics,
    Computer Networks
    , Vol. 143, 2019, pp. 176-190. (PDF)

  37. Z. Li, J. Li, A. Ren, R. Cai, C. Ding, X. Qian, J. Draper, B. Yuan, J. Tang, Q.  Qiu and  Y. Wang,
    HEIF:
    highly efficient stochastic computing based inference framework for deep neural networks,
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,
    Vol. 38, No. 8, 2019, pp. 1543-1556. (PDF)


    2018

  38. T. Li, Z. Xu, J. Tang, Y. Wang,
    Model-free control for distributed stream data processing using deep reinforcement learning,
    Proceedings of VLDB Endowment, Vol. 11, No. 6, 2018, pp. 705-718. (PDF)

  39. Z. Xu, J. Tang, J. Meng, W. Zhang, Y. Wang, C. Liu and D. Yang,
    Experience-driven networking: a deep reinforcement learning based approach,
    IEEE Infocom'2018 (AR: 19.2%), pp. 1871-1879. (PDF)

  40. T. Zhang, S. Ye, K. Zhang, J. Tang, W. Wen, M. Fardad and Y. Wang,
    A systematic DNN weight pruning framework using alternating direction method of multipliers,
    ECCV'2018
    , accepted. (PDF)

  41. Y.  Wang, C.  Ding, G.  Yuan, S. Liao, Z.  Li, X.  Ma, B.  Yuan, X.  Qian, J.  Tang, Q.  Qiu and X.  Lin, 
    Towards ultra-high performance and energy efficiency of deep learning systems: an algorithm-hardware co-optimization framework,
    AAAI'2018 (AR: 25%). (PDF)

  42. C. Gao, V. Schwart, W. Zhang, G. Xue and J. Tang,
    How would you like your packets delivered? an SDN-enabled open platform for QoS routing,
    IEEE/ACM International Symposium on Quality of Service (IWQoS)
    , 2018 (Acceptance Ratio: 20.8%).
    (Best Paper Award Runner-Up) (PDF)

  43. S. Zhang, J. Xu, S. Choi, J. Tang, P. Varshney and Z. Chen,
    A parallel platform for fusion of heterogeneous stream data,
    International Conference on Information Fusion (FUSION),
    2018. (PDF)

  44. R. Yu, G. Xue, V. T. Kilari, D. Yang and J. Tang,
    Coin-express: a fast payment routing mechanism in blockchain-based payment channel networks,
    International Conference on Computer Communications and Networks (ICCCN), 2018, Invited paper. (PDF)

  45. X. Zhang, D. Yang, G. Xue, R. Yu and J. Tang ,
    Transmitting and sharing: a truthful double auction for cognitive radio networks,
    IEEE International Conference on Communications (ICC)
    , 2018. (PDF)

  46. Z. Chen, J. Tang, and J. Xu, K. Kwiat, C. Kamhoua and C. Wang,
    GPU-accelerated high-throughput online stream data processing,
    IEEE Transactions on Big Data, Vol. 4, No. 2, 2018, pp. 191-202. (PDF)
    (The 2019 TCBD (Technical Committee on Big Data) Best Journal Paper Award from IEEE Communications Society)

  47. C. H. Liu, Z. Chen, J. Tang, J. Xu and C. Piao,
    Energy-efficient UAV control for effective and fair communication coverage: a deep reinforcement learning approach,
    IEEE Journal on Selected Areas in Communications (JSAC),
    Special Issue on Airborne Communication Networks, Vol. 36, No. 9, pp. 2059-2070. (PDF)

  48. B. Zhang, C. Liu, J. Tang, Z. Xu, J. Ma and W. Wang,
    Learning-based energy-efficient data collection by unmanned vehicles in smart cities,
    IEEE Transactions on Industrial Informatics
    , Vol. 14, No. 4, 2018, pp. 1666-1676. (PDF)

  49. M. Sun, Y. Xue, P. Bogdan, J. Tang, Y. Wang and X. Lin,
    Hierarchical and hybrid energy storage devices in data centers: architecture, control and provisioning,
    PLOS ONE
    , 2018. (PDF)

  50. C. Kamhoua, L. Kwiat, K. A. Kwiat and J. Tang
    Chapter 4: Risks and Benefits: Game-Theoretical Analysis and Algorithm for Virtual Machine Security Management in the Cloud,
    Assured Cloud Computing, Wiley, 2018. (Book Chapter)

    2017

  51. J. Wang , J. Tang, Z. Xu, Y. Wang, G. Xue, X. Zhang and D. Yang, 
    Spatiotemportal modeling and prediction in cellular networks: a big data enabled deep learning approach,
    IEEE Infocom'2017 (AR: 20.9%), pp.1323-1331. (PDF)

  52. Lin, M. Li, D. Yang, G. Xue and J. Tang
    Sybil-proof incentive mechanisms for crowdsensing, 
    IEEE Infocom'2017 
    (AR: 20.9%), pp. 2088-2096. (PDF

  53. L. Zhao, S. Liao, Y. Wang, J. Tang and B. Yuan,
    Theoretical properties for neural networks with weight matrices of low displacement rank,
    ICML'2017. (PDF)

  54. C. Ding, S. Liao, Y. Wang, Z. Li, N. Liu, Y. Zhuo, C. Wang, X. Qian, Y. Bai, G. Yuan, X. Ma, Y. Zhang, J. Tang ,
    Q. Qiu, X. Lin and B. Yuan,
    CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices,
    IEEE/ACM MICRO'2017. (PDF)

  55. N. Liu, Z. Li, J. Xu, Z. Xu , S. Lin, Q. Qiu, J. Tang and Y. Wang,
    A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning,
    IEEE ICDCS'2017, Research Tracks (AR: 16.9%), pp. 372-382. (PDF)

  56. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,
    Robust incentive tree design for mobile crowdsensing,
    IEEE ICDCS'2017,
    Research Tracks (AR: 16.9%), pp. 458-468. (PDF)

  57. Y. Liu, B. Logan, N. Liu, Z. Xu, J. Tang and Y. Wang,
    Deep reinforcement learning for dynamic treatment regimes on medical registry data,
    IEEE ICHI'2017, pp. 380-385 . (PDF)

  58. Z. Xu, Y. Wang and J. Tang, J. Wang and M. C. Gursoy,
    A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs,
    IEEE ICC'2017. (PDF)

  59. C. Gao , W. Zhang, J. Tang, R. K. Sinha and K. N. Oikonomou,
    DEMUR: dependable multipath routing in software defined networking for ISP backbone,
    IEEE Globecom'2017. (PDF)

  60. Y. Li, M. C. Gursoy, S. Velipasala and J. Tang,
    Joint mode selection and resource allocation for D2D communications via vertex coloring,
    IEEE Globecom'2017
    . (PDF)

  61. M. Li, J. Lin, D. Yang, G. Xue and J. Tang,
    QUAC: quality-aware contract-based incentive mechanisms for crowdsensing,
    IEEE MASS'2017. (PDF)

  62. Y. Zhang, D. Yang, J. Lin, M. Li, G. Xue, J. Tang and L. Xie,
    Spectrum auctions under physical interference model,
    IEEE Transactions on Cognitive Communications and Networking, Vol. 3, No. 4, 2017, pp. 719-728. (PDF)

  63. J. Wang, J. Tang, D. Yang and M. C. Gursoy,
    Enabling radio-as-a-service with truthful auction mechanisms,
    IEEE Transactions on Wireless Communications, Vol. 16, No. 4, 2017, pp. 2340-2349. (PDF)

  64. J. Wang, J. Tang, G. Xue and D. Yang,
    Towards energy-efficient task scheduling on smartphones in mobile crowd sensing systems,
    Computer Networks Journal
    , Vol. 115, 2017, pp. 100-109. (PDF)

  65. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,
    Countermeasures against false-name attacks on truthful incentive mechanisms for crowdsourcing
    IEEE Journal on Selected Areas in Communications (JSAC),
    Special Issue on Game Theory for Networks, Vol. 35, No. 2, 2017, pp. 478-485. (PDF)

  66. C. Gao, W. Zhang and J. Tang,
    Building elastic hybrid green wireless networks,
    IEEE Internet of Things (IoT) Journal, Vol. 4, No. 6, 2017, pp. 2028-2037. (PDF)

  67. G. Ozcan, M. C. Gursoy and J. Tang,
    Spectral and energy efficiency in cognitive radio systems with unslotted primary users and sensing uncertainty,
    IEEE Transactions on Communications, Vol. 65, No. 10, 2017, pp. 4138-4151. (PDF)

    2016


  68. C. Gao , G. Ozcan, J. Tang, M. Gursoy and W. Zhang,
    A cloud framework for enabling radio as a serivce over a wireless substrate,
    IEEE ICNP'2016 (AR: 20%). (PDF)

  69. J. Wang, J. Tang, D. Yang, E. Wang and G. Xue,
    Quality-aware and fine-grained incentive mechanisms for mobile crowdsensing,
    IEEE ICDCS'2016 (AR: 17.6%), pp. 354-363. (PDF)

  70. M. Li, D. Yang, J. Lin, M. Li and J. Tang,
    SpecWatch: adversarial spectrum usage monitoring in CRNs with unknown statistics,
    IEEE Infocom'2016 (AR: 18.25%). (PDF)

  71. Y. Zheng, Z. Chen, S. Velipasalar and J. Tang,
    Person detection and re-identification across multiple images and videos obtained via crowdsourcing,
    ACM International Conference on Distributed Smart Cameras (ICDSC'2016), pp. 178-183. (PDF)

  72. X. Sheng , J. Tang, J. Wang, T. Li, G. Xue and D. Yang,
    LIPS: lifestyle learning via mobile phone sensing,
    IEEE Globecom'2016. (PDF)

  73. R. Yu, G. Xue, X. Zhang and J. Tang,
    Non-preemptive coflow scheduling and routing,
    IEEE Globecom'2016. (PDF)

  74. Y. Zhang, D. Yang, G. Xue and J. Tang,
    A spectrum auction under physical interference model
    IEEE Globecom'2016. (PDF)

  75. X. Lin, M. Pedram, J. Tang, and Y. Wang
    A profit optimization framework of energy storage devices in data centers: hierarchical structure and hybrid types,
    IEEE CLOUD'2016. (PDF)

  76. T. Li, J. Tang, and J. Xu,
    Performance modeling and predicitive scheduling for distributed stream data processing,
    IEEE Transactions on Big Data, Vol. 2, No. 4, 2016, pp. 353-364. (PDF)

  77. G. Ozcan, M. C. Gursoy, N. H. Tran and J. Tang,
    Energy-efficient power allocation in cognitive radio systems with imperfect spectrum sensing,
    IEEE Journal on Selected Areas in Communications (JSAC),
    Series on Green Communications and Networking (Issue 3), Vol. 34, No. 12, 2016, pp. 3466-3481. (PDF)

  78. C. Gao, J. Tang, X. Sheng, W. Zhang, S. Zou and M. Guizani,
    Enabling green wireless networking with device-to-device links: a joint optimization approach,
    IEEE Transactions on Wireless Communications, Vol. 15, No. 4, 2016, pp. 2770-2779. (PDF)

  79. M. R. Khawer, J. Tang and F. Han,
    usICIC: a proactive small cell interference mitigation strategy for improving spectral efficiency
    of LTE networks in the unlicensed spectrum,
    IEEE Transactions on Wireless Communications, Vol. 15, No. 3, 2016, pp. 2303-2311. (PDF)

  80. D. Yang, G. Xue, X. Fang and J. Tang,
    Incentive mechanisms for crowdsensing: crowdsourcing with smartphones,
    IEEE/ACM Transactions on Networking
    , Vol. 24, No. 3, 2016, pp. 1732-1744. (PDF)
    (The 2019 William R. Bennett Prize from IEEE Communications Society)

    2015

  81. C. Gao, J. Tang, X. Sheng, W. Zhang and C. Wang,
    Greening wireless relay networks: an SNR-aware approach,
    IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 11, 2015, pp. 3027-3039. (PDF)

  82. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,
    Keeping your promises: mechanism design against free-riding and false-reporting,
    IEEE Internet of Things Journal, Vol. 2, No. 6, 2015, pp. 562-572. (PDF

  83. J. Wang, J. Tang, X. Sheng , G. Xue and D. Yang,
    Enabling green mobile crowd sensing via optimized task scheduling on smartphones,
    Ad-hoc and Sensor Networking Symposium, IEEE Globecom'2015 (Best Paper Award). (PDF)

  84. Z. Chen, J. Xu, J. Tang, K. Kwiat and C. Kamhoua,
    G-Storm: GPU-enabled high-throughput online data processing in Storm,
    IEEE BigData'2015, pp. 307-312. (PDF)

  85. T. Li, J. Tang, and J. Xu,
    A predictive scheduling framework for fast and distributed stream data processing,
    IEEE BigData'2015
    , pp. 333-338. (PDF)

  86. X. Zhang, G. Xue, R. Yu, D. Yang and J. Tang,
    Truthful incentive mechanisms for crowdsourcing,
    IEEE
    Infocom'2015 (AR: 19.3%). pp. 2830-2838. (PDF)

  87. L. Kwiat, C. Kamhoua, K. Kwiat, J. Tang and A. Martin,
    Security-aware virtual machine allocation in the cloud: a game theoretic approach,
    IEEE CLOUD'2015 , pp. 556-563. (PDF)

  88. J. Wang, D. Yang, J. Tang and M. C. Gursoy,
    Radio-as-a-Service: auction-based model and mechanisms,
    IEEE ICC'2015, pp. 3567-3572 . (PDF)

  89. J. Xu, J. Tang, B. Mumey, W. Zhang, K. Kwiat and C. A. Kamhoua,
    Cost-efficient virtual server provisioning and selection in distributed data center,
    IEEE ICC'
    2015, pp. 5466-5472. (PDF)

  90. G. Ozcan, M. C. Gursoy and J. Tang,
    Power control for cognitive radio systems with unslotted primary users under sensing uncertainty,
    IEEE ICC'2015, pp. 1428-1433. (PDF)

    2014

  91. X. Sheng, J. Tang, X. Xiao and G. Xue,
    Leveraging GPS-less sensing scheduling for green mobile crowd sensing,
    IEEE Internet of Things Journal, Vol. 1, No. 4, pp. 328-336. (PDF)

  92. Y. Huang, X. Zhang, J. Zhang, J. Tang, Z. Su and W. Wang,
    Energy efficient design in heterogeneous cellular networks based on large-scale
    user behavior constraints,
    IEEE Transactions on Wireless Communications, Vol. 13, No. 9, pp. 4746-4757. (PDF)

  93. X. Xiao, J. Tang, Z. Chen, J. Xu and C. Wang,
    A cross-job framework for MapReduce scheduling,
    IEEE BigData'2014, pp. 135-140. (PDF)

  94. X. Zhang, G. Xue, R. Zhou, D. Yang and J. Tang,
    You better be honest: discouraging free-riding and false-reporting in mobile crowdsourcing,
    IEEE Globecom'2014, pp. 4971-4976. (PDF)

  95. X. ShengJ. TangJ. WangC. Gao and G. Xue
    SOR: an objective ranking system based on mobile phone sensing,
    IEEE ICDCS'2014 (AR: 13%), pp. 114-123. (PDF)

  96. J. XuZ. ChenJ. Tang and S. Su
    T-Storm: traffic-aware online scheduling in Storm,
    IEEE ICDCS'2014 (AR: 13%), pp.  535-544. (PDF)

  97. C. Gao, W. Zhang, J. Tang, C. Wang, S. Zou and S. Su,
    Relax, but do not sleep: a new perspective on green wireless networking,
    IEEE Infocom'2014 (AR: 19%), pp. 907-915. (PDF)

  98. C. Gao, X. Sheng, J. Tang, W. Zhang, S. Zou and M. Guizani
    Joint mode selection, channel allocation and power assignment for green
    device-to-device communications,
    Ad-hoc and Sensor Networking Symposium, IEEE ICC'2014 (Best Paper Award), pp. 178-183. (PDF)

    2013

  99. J. Xu, J. Tang, K. Kwiat, W. Zhang and G. Xue,
    Enhancing survivability in virtualized data centers: a service-aware approach,
    IEEE Journal on Selected Areas in Communications,
    Special Issue on Networking Challenges on Cloud Computing Systems and Applications,
    Vol. 31, No. 12, 2013, pp. 2610-2619. (PDF)

  100. X. Sheng, J. Tang, X. Xiao and G. Xue,
    Sensing as a Serivce: Challenges, Solutions and Future Directions,
    IEEE Sensors Journal
    (One of the 25 most downloaded papers in Sep.- Dec. 2013), Vol. 13, No. 10, pp. 3733-3741. (PDF)

  101. C. Gao, J. Tang, X. Sheng, W. Zhang and C. Wang,
    Signal-aware green wireless relay network design,
    IEEE ICDCS'2013 (AR: 13%), pp. 440-449. (PDF)

  102. C. Jin, J. Tang and P. Ghosh,
    Optimizing electric vehicle charging: a customer’s perspective,
    IEEE Transactions on Vehicular Technology, Vol. 62, No. 7, pp. 2919-2927
    (The 2016 Best Vehicular Electronics Paper Award from IEEE Vehicular Technology Society). (PDF)

  103. X. Sheng, J. Tang, C. Gao, W. Zhang and C. Wang,
    Leveraging load migration and basestaion consolidation for green communications
    in virtualized cognitive radio networks
    ,
    IEEE Infocom'2013
    (AR: 17%), pp. 1291-1299. (PDF)

  104. B. Mumey, J. Tang, I. Judson and R. Wolff,
    Beam scheduling and relay assignment in wireless relay networks with smart antennas,
    IEEE Infocom'2013, Mini Conference,
    2013, pp. 130-134. (PDF)

  105. C. Jin , J. Tang and P. Ghosh,
    Optimizing electric vehicle charging with energy storage in the electricity market,
    IEEE Transactions on Smart Grid
    , Special Issue on Smart Grid Communication Systems:
    Reliability, Dependability and Performance, Vol. 4, No. 1, 2013, pp. 311-320. (PDF)

    2012


  106. B. Mumey, J. Tang, I. Judson and D. Stevens,
    On routing and channel selection in cognitive radio mesh networks,
    IEEE Transactions on Vehicular Technology
    , Vol. 61, No. 9, 2012, pp. 4118- 4128. (PDF)

  107. D. Yang, G. Xue, X. Fang and J. Tang
    Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing,
    ACM MobiCom'2012, pp. 173-184. (PDF)

  108. X. Sheng, X. Xiao, J. Tang and G. Xue,
    Sensing as a Service: a cloud computing system for mobile phone sensing,
    IEEE Sensors Conference
    , 2012, Invited paper. (PDF)

  109. J. Xu, J. Tang, K. Kwiat, W. Zhang and G. Xue,
    Survivable virtual infrastructure mapping in virtualized data centers,
    IEEE CLOUD'2012, Research Track (Acceptance Ratio: 17%), pp. 196-203. (PDF)

  110. J. Tang, B. Mumey, Y. Xing and A. Johnson,
    On exploiting flow allocation with rate adaptation for green networking,
    IEEE Infocom'2012 (Acceptance Ratio: 18%), pp. 1683-1691. (PDF)

  111. X. Sheng, J. Tang and W. Zhang,
    Energy-efficient collaborative sensing with mobile phones,
    IEEE Infocom'2012 (Acceptance Ratio: 18%), pp. 1916-1924. (PDF)

  112. S. Bai, W. Zhang, G. Xue, J. Tang and C. Wang,  
    DEAR: Delay-bounded energy-constrained adaptive routing in wireless sensor networks,
    IEEE Infocom'2012
    (Acceptance Ratio: 18%), pp. 1593-1601. (PDF)

  113. J. Tang, B. Mumey, K. Zhubayev and R. Wolff,
    Leveraging cooperative, channel and multiuser diversities for
    efficient resource allocation in wireless relay networks,
    IEEE Journal on Selected Areas in Communications (JSAC),
    Special Issue on Cooperative Networking Challenges and Applications, Vol. 30, No. 9, 2012. (PDF)

  114. B. Mumey, J. Tang and S. Hashimoto,
    Enabling green networking with a power down approach,
    IEEE ICC'2012. (PDF)

  115. B. Mumey, I. Judson, J. Tang and Y. Xing,
    Topology control in multihop wireless networks with multi-beam smart antennas,
    International Conference on Computing, Networking and Communications (ICNC), 2012,
    pp. 1020-1024. (PDF)

    2011

  116. W. Zhang, B. Shi, G. Xue, J. Tang and C. Wang,
    DARP: distance-aware relay placement in WiMAX mesh networks,
    IEEE Infocom'2011 (Acceptance Ratio: 16%), pp. 2060-2068. (PDF)

  117. S. Wan, J. Tang, B. Mumey, R. Wolff and W. Zhang,
    Leveraging multi-user diversity, channel diversity and spatial reuse
    for efficient scheduling in wireless relay networks,
    IEEE MASS'2011, pp.401-410. (PDF)

  118. J. Tang, B. Zhu, L. Zhang and R. Hincapie,
    Wakeup scheduling in roadside directional sensor networks,
    IEEE Globecom'2011, Ad-hoc and Sensor Networking Symposium. (PDF)

  119. B. Mumey, J. Tang, Y. Xing and R. Wolff,
    Relay beam selection with directional antennas,
    IEEE Globecom'2011, Ad-hoc and Sensor Networking Symposium. (PDF)

  120. B. Mumey, X. Zhao, J. Tang and R. Wolff,
    On multipath transmission scheduling in cognitive radio mesh networks,
    ICST GreenNets'2011, invited paper.

    2010

  121. J. Tang, L. Zhang, R. S. Wolff and W. Zhang,
    Leveraging cognitive radios for effective communications over water,
    IEEE SECON'2010 (Acceptance Ratio: 23%). (PDF)

  122. B. Mumey, X. Zhao, J. Tang and R. S. Wolff,
    Transmission scheduling for routing paths in cognitive radio mesh networks,
    IEEE SECON'
    2010
    (Acceptance Ratio: 23%). (PDF)

  123. W. Zhang, J. Tang, C. Wang and S. de Soysa,
    Reliable adaptive multipath provisioning with bandwidth and differential delay constraints,
    IEEE Infocom'2010 (Acceptance Ratio: 17.5%) (PDF).

  124. J. Tang, B. Mumey, K. Zhubayev and R. S. Wolff,
    On exploiting cooperative, channel and multiuser diversities in wireless relay networks,
    IEEE Globecom'2010. (PDF)

  125. W. Zhang , S. Bai, Y. Liu and J. Tang,
    Cognitive radio scheduling for overwater communications,
    IEEE Globecom'2010. (PDF)

  126. D. Yang, X. Fang, G. Xue and J. Tang
    Relay station placement for cooperative communications in WiMAX networks,
    IEEE Globecom'2010
    . (PDF)

  127. J. Tang, R. Hincapie, G. Xue, W. Zhang and R. Bustamante,
    Fair bandwidth allocation in wireless mesh networks with cognitive radios,
    IEEE Transactions on Vehicular Technology, Vol. 59, No. 3, 2010, pp. 1487-1496. (PDF)

  128. S. Misra, D. Hong, G. Xue, and J. Tang,
    Constrained relay node placement in wireless sensor networks: formulation and approximations,
    IEEE/ACM Transactions on Networking, Vol. 18, No. 2, 2010, pp. 434-447. (PDF)

  129. B. Mumey, J. Tang and T. Hahn,
    Algorithmic aspects of communications in multihop wireless networks with MIMO links,
    IEEE ICC'
    2010. (PDF)

  130. W. Zhang, F. Kandah, J. Tang and K. Nygard,
    Interference-aware robust topology design in multi-channel wireless mesh networks,
    IEEE CCNC'2010. (PDF)

    2009

  131. J. Tang, G. Xue and W. Zhang,
    Cross-layer optimization for end-to-end rate allocation in multi-radio wireless mesh networks,
    Wireless Networks Journal, Vol. 15, No. 1, 2009, pp.53-64. (PDF)

  132. Y. Xu, S. Wan, J. Tang and R. S. Wolff,
    Interference aware routing and scheduling in wireless backhaul networks with smart antennas,
    IEEE SECON'
    2009 (Acceptance Ratio: 18.8%). (PDF)

  133. L. Zhang, J. Tang and W. Zhang,
    Strong barrier coverage with directional sensors,
    IEEE Globecom'
    2009. (PDF)

  134. W. Zhang, J. Tang, K. E. Nygard and C. Wang,
    REPARE: regenerator placement and routing establishment in translucent networks,
    IEEE Globecom'
    2009. (PDF)

  135. R. Hincapie, L. Zhang, J. Tang, G. Xue and R. S. Wolff and R. Bustamante,
    Efficient recovery algorithms for wireless mesh networks with cognitive radios,
    IEEE ICC'
    2009. (PDF)

  136. C. Bohannan, L. Zhang, J. Tang, R. S. Wolff, S. Wan, N. Gurdasani and D. Galarus,
    QoS enhancement and performance evaluation of ad-hoc routing protocols for rural public safety,
    IEEE ICC'2009. (PDF)

    2008


  137. J. Tang, S. Misra and G. Xue,
    Joint spectrum allocation and scheduling for fair spectrum sharing in cognitive radio wireless networks,
    Computer Networks Journal , Vol. 52, No. 11, 2008, pp. 2148-2158. (PDF)

  138. G. Xue, W. Zhang, J. Tang and K. Thulasiraman,
    Polynomial time approximation algorithms for multi-constrained QoS routing,
    IEEE/ACM Transactions on Networking, Vol. 16,  No. 3, 2008, pp. 656-669. (PDF)

  139. W. Zhang, G. Xue, J. Tang and K. Thulasiraman,
    Faster algorithms for construction of recovery trees enhancing QoP and QoS,
    IEEE/ACM Transactions on Networking
    , Vol. 16, No. 3, 2008, pp. 642-655. (PDF)

  140. S. Misra, D. Hong, G. Xue and J. Tang,
    Constrained relay node placement in wireless sensor networks to meet connectivity and survivability requirements,
    IEEE Infocom'2008
    (Acceptance Ratio:20%), pp.879-887. (PDF)

  141. R. Hincapie, J. Tang, G. Xue and R. Bustamante,
    QoS routing in wireless mesh networks with cognitive radios,
    IEEE Globecom’2008.
    (PDF)

  142. W. Zhang, G. Xue, J. Tang and K. Thulasiraman,
    Dynamic wavelength routing in WDM networks under multiple signal quality constraints,
    IEEE Globecom’2008. (PDF)

  143. S. Wan, J. Tang and R. Wolff,
    Reliable routing for roadside to vehicle communications in rural areas,
    IEEE ICC'2008
    , pp. 3017-3021. (PDF)

  144. B. Mumey, J. Tang and T. Hahn,
    Joint stream control and scheduling in multihop wireless networks with MIMO links,
    IEEE ICC'2008, pp. 2921-2925. (PDF)

    2007


  145. J. Tang, G. Xue and W. Zhang,
    Cross-layer design for end-to-end throughput and fairness enhancement in multi-channel wireless mesh networks,
    IEEE Transactions on Wireless Communications, Vol. 6, No. 10, 2007. (PDF)

  146. G. Xue, A. Sen, W. Zhang, J. Tang and K. Thulasiraman,
    Finding a path subject to many additive QoS constraints,
    IEEE/ACM Transactions on Networking, Vol. 15, No. 1, 2007, pp. 201-211. (PDF)

  147. J. Tang, S. Misra and G. Xue
    Spectrum allocation and scheduling in dynamic spectrum access wireless networks,
    ICST QShine'2007.


    2006


  148. J. Tang, G. Xue, C. Chandler and W. Zhang,
    Link scheduling with power control for throughput enhancement in multihop wireless networks,
    IEEE Transactions on Vehicular Technology (TVT), Vol. 5, No. 3, 2006, pp. 733-742. (PDF)

  149. G. Xue, W. Zhang, J. Tang and K. Thulasiraman,
    An improved algorithm for optimal lightpath establishment on a tree topology,
    IEEE Journal on Selected Areas in Communications
    , Optical Communications and Networking Series,
    Vol. 24, No. 8, 2006, pp. 45--56. (PDF)

  150. J. Tang, B. Hao and A. Sen,
    Relay node placement in large scale wireless sensor networks,
    Computer Communications, Special Issue on Wireless Sensor Networks,
    Vol. 29, No. 4, 2006, pp. 490-501. (PDF)

  151. J. Tang, G. Xue and W. Zhang,
    Reliable ad hoc routing based on mobility prediction,
    Journal of Combinatorial Optimization, Special Issue on Wireless Network Applications,
    Vol. 11, No. 1, 2006, pp.
    71-85. (PDF)

  152. J. Tang, G. Xue and W. Zhang,
    Maximum throughput and fair bandwidth allocation in multi-channel wireless mesh networks,
    IEEE Infocom'2006 (Acceptance Ratio:18%). (PDF)

  153. J. Tang, G. Xue and W. Zhang,
    End-to-end rate allocation in multi-radio wireless mesh networks: cross-layer schemes,
    ICST QShine'2006. (PDF)

    2005


  154. J. Tang, G. Xue and C. Chandler,
    Interference-aware routing and bandwidth allocation for QoS provisioning in multihop wireless networks,
    Wireless Communications and Mobile Computing (WCMC),
    Special Issue on Modelling and Performance Evaluation of Radio Resource QoS for
    Next Generation Wireless and Mobile Networks, Vol. 5, No. 8, 2005, pp. 933-944. (PDF)

  155. J. Tang, G. Xue and W. Zhang,
    Interference-aware topology control and QoS routing in multi-channel wireless mesh networks,
    ACM MobiHoc'2005 (Acceptance Ratio:14%), pp. 68-77. (PDF)

  156. J. Tang, G. Xue, C. Chandler and W. Zhang,
    Interference-aware routing in multihop wireless networks using directional antennas,
    IEEE Infocom'2005 (Acceptance Ratio:17%), pp. 751-760. (PDF)

  157. W. Zhang, G. Xue, J. Tang and K. Thulasiraman,
    Linear time construction of redundant trees for recovery schemes enhancing QoP and QoS,
    IEEE Infocom'2005 (Acceptance Ratio:17%), pp. 2702-2710. (PDF)

  158. J. Tang, G. Xue and W. Zhang,
    Power efficient broadcasting and multicasting in wireless networks with directional antennas,
    IEEE ICC'2005, pp. 1438-1442. (PDF)

  159. G. Xue, W. Zhang, J. Tang and K. Thulasiraman,
    Establishment of survivable connections in WDM networks using partial path protection,
    IEEE ICC'2005, pp. 1756-1760. (PDF)

  160. W. Zhang, G. Xue, J. Tang and K. Thulasiraman,
    Dynamic light trail routing and protection issues in WDM optical networks,
    IEEE Globecom'2005, pp. 1963-1967. (PDF)

  161. J. Tang, G. Xue, C. Chandler and W. Zhang,
    Link scheduling with power control for throughput enhancement in multihop wireless networks,
    ICST QShine'2005
    . (PDF)

    2004


  162. J. Tang, G. Xue and W. Zhang,
    Energy efficient survivable broadcasting and multicasting in wireless ad hoc networks
    IEEE Milcom'2004, pp. 1165-1171. (PDF)

  163. J. Tang, G. Xue and W. Zhang,
    Reliable routing in mobile ad hoc networks based on mobility prediction,
    IEEE MASS'2004 (Acceptance Ratio:25%), pp. 466-474. (PDF)

  164. J. Tang and G. Xue,
    Node-disjoint path routing in wireless networks: tradeoff between path lifetime and total energy,
    IEEE ICC'2004, pp. 3812-3816. (PDF)

  165. B. Hao, J. Tang and G. Xue,
    Fault-tolerant relay node placement in wireless sensor networks: formula tion and approximation,
    IEEE HPSR'2004, pp. 246-250. (PDF)

    Copyright 200x/201x/202x IEEE/ACM/AAAI/Elsevier/Springer. Personal use of these materials is permitted.
    However, permission to reprint/republish these materials for advertising or promotional purpose or for creating
    new collective works for resale or redistribution to servers or lists, or to resue any copyrighted component of
    these papers in other works must be obtained from the IEEE/ACM/AAAI/Elsevier/Springer.

 

Copyright 2020 Jian Tang. All Rights Reserved.