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Publications:

(# denotes the student/postdoc of Suzhi Bi)

Book Chapter:

  1. S. Bi, R. Zhang, Z. Ding, and S. Cui, "Big data wireless communication: challenges and opportunities,” in Big Data over Networks, edited by S. Cui, A. Hero, Z-Q. Luo, and J. Moura, Cambridge University Press, 2015. (Book URL).

Submitted Journal Papers:

  1. J. Chen#, S. Bi, X.-H. Lin, and Z. Quan, ‘‘LAGER: Label-free domain-adaptive wireless gesture recognition via latent feature alignment and augmentation," under major revision with IEEE Internet of Things Journal.

  2. W. Jiao#, S. Bi, X. Li#, C. Guo, H. Chen, and Z. Quan, ‘‘Transferable deployment of semantic edge inference systems via unsupervised domain adaption," submitted to IEEE Transactions on Industrial Informatics.

  3. S. Bi, H.-G. Chen#, X. Li#, S. Wang, Y. Wu, and L. Qian, ‘‘A two-stage deep reinforcement learning framework for MEC-enabled adaptive 360-degree video streaming," under minor revision with IEEE Transactions on Mobile Computing.

  4. X. Wang#, S. Bi, X. Li#, X.-H. Lin, Z. Quan, and Y. J. Zhang, ‘‘Capacity analysis and throughput maximization of NOMA with nonlinear power amplifier distortion," under minor revision with IEEE Transactions on Wireless Communications.

  5. 毕宿志, 许航#, 郑莉莉#, 林晓辉, 全智 ‘‘基于小样本学习的鲁棒性跨场景疲劳无线检测系统," 投稿至 深圳大学学报.

Accepted/Published Journal Papers:

  1. X. Li#, S. Bi, S. Wang, X-C. Li, and Y. J. Zhang, ‘‘Digital semantic device-edge co-inference with task-oriented ARQ,“ accepted by IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2024.3390213, [Github].

  2. X. Li# and S. Bi, ‘‘Optimal AI model splitting and resource allocation for device-edge co-inference in multi-user wireless sensing systems," accepted by IEEE Transactions on Wireless Communications, DOI:10.1109/TWC.2024.3378418

  3. Y. Gu, C. She, S. Bi, Z. Quan, and B. Vucetic, ‘‘Graph neural network for distributed beamforming and power control in massive URLLC networks," accepted by IEEE Transactions on Wireless Communications, DOI: 10.1109/TWC.2024.3358903

  4. X.-H. Lin, S. Bi, G. Su, and Y. J. Zhang, ‘‘A Lyapunov-based approach to joint optimization of resource allocation and 3D trajectory for solar-powered UAV MEC systems," IEEE Internet of Things Journal, vol. 11, no. 11, pp. 20797-20815, June 2024.

  5. S. Bi, Z. Zhuo, X.-H. Lin, Y. Wu, and Y. J. Zhang, ‘‘Physical environment map aided 3D deployment optimization for UAV-assisted integrated localization and communication in urban areas," IEEE Internet of Things Journal, vol. 11, no. 9, pp. 15490-15503, May 2024.

  6. S. Wang, J. Yang, and S. Bi, ‘‘Adaptive video streaming in multi-tier computing networks: joint edge transcoding and client enhancement," IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 2657-2670, April 2024.

  7. X.-H. Lin, S. Bi, N. Cheng, M. Dai, G. Su, Z. Fu, and H. Wang, ‘‘Joint optimization of resource allocation and flight trajectory for UAV-IoT underwater detecting systems," IEEE Transactions on Vehicular Technology, vol. 72, no. 12, pp. 16482-16498, December 2023.

  8. L. Zheng#, S. Bi, S. Wang, Z. Quan, X. Li#, X.-H. Lin, and H. Wang, ‘‘ResMon: Domain-adaptive wireless respiration state monitoring via few-shot Bayesian deep learning," IEEE Internet of Things Journal, vol. 10, no. 23, pp. 20914-20927, December 2023.

  9. Z. Yang, S. Bi, and Y. J. Zhang, ‘‘Deployment optimization of dual-functional UAVs for integrated localization and communication," IEEE Transactions on Wireless Communications, vol. 22, no. 12, pp. 9672-9687, December 2023.

  10. S. Bi, J. Yu, Z. Yang, X.-H. Lin, and Y. Wu, ‘‘Joint 3D deployment and resource allocation for UAV-assisted integrated communication and localization," IEEE Wireless Communications Letters, vol. 12, no. 10, pp. 1672-1676, October 2023.

  11. S. Wang, S. Bi, and Y. J. Zhang, “Edge video analytics with adaptive information gathering: a deep reinforcement learning approach,” IEEE Transactions on Wireless Communications, vol. 22, no. 9, pp. 5800-5813, September 2023.

  12. S. Wang and S. Bi, ‘‘Improving beam alignment accuracy in mmWave communication systems with auxiliary tasks," IEEE Signal Processing Letters, vol. 30, pp. 992-996, August 2023.

  13. 曾钰婷#, 毕宿志, 郑莉莉#, 林晓辉, 王晖, “基于CSI小样本学习的场景鲁棒性跌倒检测系统,” 物联网学报， vol. 7, no. 2, pp. 118-132, June 2023.

  14. H. Hou#, S. Bi, L. Zheng#, X.-H. Lin, Y. Wu, and Z. Quan, ‘‘DASECount: Domain-agnostic sample-efficient wireless indoor crowd counting via few-shot learning," IEEE Internet of Things Journal, vol. 10, no. 8, pp. 7038-7050, April 2023. [Outstanding Poster Award]

  15. 李贤#, 毕宿志, 曾泓儒#, 林彬#, 林晓辉, “基于智能化用户协作的边缘计算任务卸载与资源分配优化,” 物联网学报, vol. 6, no. 4, pp. 41-52, December 2022.

  16. J. Chen#, H. Xing#, X.-H. Lin, A. Nallanathan, and S. Bi, “Joint resource allocation and cache placement for location-aware multi-user mobile edge computing,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25698-25714, December 2022.

  17. Z. Yang, S. Bi, and Y. J. Zhang, “Dynamic offloading and trajectory control for UAV-enabled mobile edge computing system with energy harvesting devices,” IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10515-10528, December 2022.

  18. J. Yan, S. Bi, and Y. J. Zhang, “Optimal model placement and online model splitting for device-edge co-inference,” IEEE Transactions on Wireless Communications, vol. 21, no. 10, pp. 8354-8367, October 2022.

  19. X.-H. Lin, S. Bi, N. Cheng, M. Dai, and H. Wang, “An alpha-fairness approach to balancing the energy consumption among sensors for UAV-IoT systems,” IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17965-17978, September 2022.

  20. X. Li#, S. Bi, Y. Zheng, and H. Wang, “Energy-efficient online data sensing and processing in wireless powered edge computing systems,” IEEE Transactions on Communications, vol. 70, no.8, pp. 5612-5628, August 2022.

  21. X. Li#, S. Bi, Z. Quan, and H. Wang, “Online cognitive data sensing and processing optimization in energy-harvesting edge computing systems,” IEEE Transactions on Wireless Communications, vol. 21, no. 8, pp. 6611-6626, August 2022.

  22. Z. Yang, S. Bi, and Y. J. Zhang, “Online trajectory and resource optimization for stochastic UAV-enabled MEC system,” IEEE Transactions on Wireless Communications, vol. 21, no. 7, pp. 5629-5643, July 2022.

  23. S. Wang, S. Bi, and Y. J. Zhang, “Adaptive wireless video streaming: joint transcoding and transmission resource allocation,” IEEE Transactions on Wireless Communications, vol. 21, no. 5, pp. 3208-3221, May 2022.

  24. N. Huang, T. Wang, Y. Wu, S. Bi, L. Qian, and B. Lin, ‘‘Delay minimization for intelligent reflecting surface assisted federated learning," China Communications, vol. 19, no. 4, pp. 216-229, April 2022.

  25. C. Pei, S. Bi, and Z. Quan, “Data-driven bandpass filter design for estimating symbol rate of sporadic signal at low SNR,” IEEE Transactions on Wireless Communications, vol. 21, no. 4. pp. 2680-2694, April 2022.

  26. H. Zeng#, X. Li#, S. Bi, and X.-H. Lin, “Delay-sensitive task offloading with D2D service-sharing in mobile edge computing networks,” IEEE Wireless Communications Letters, vol. 11, no. 3, pp. 607-611, March 2022.

  27. X. Li#, L. Huang, H. Wang, S. Bi, and Y. J. Zhang, “An integrated optimization-learning framework for online combinatorial computation offloading in MEC networks,” IEEE Wireless Communications, vol. 29, no. 1, pp. 170-177, February 2022.

  28. Q. Wang, Z. Quan, S. Bi, and P.-Y. Kam, “Joint ML/MAP estimation of the frequency and phase of a single sinusoid with Wiener carrier phase noise,” IEEE Transactions on Signal Processing, vol. 70, pp. 337-350, January 2022.

  29. S. Wang, S. Bi, and Y. J. Zhang, “Deep reinforcement learning with communication transformer for adaptive live streaming in wireless edge networks,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 1, pp. 308-322, January 2022.

  30. H. Xing#, O. Simeone, and S. Bi, “Federated learning over wireless device-to-device networks: algorithms and convergence analysis,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 12, pp. 3723-3741, December 2021.

  31. Q. Wang, Z. Quan, S. Bi, C. Y. Yu, and P. Y. Kam, “Generalized mutual information analysis for BICM-8QAM with residual phase noise,” IEEE Communications Letters, vol. 25, no. 12, pp. 3819 - 3823, December 2021.

  32. X. Tang , C. Sun , S. Bi , S. Wang , Y. J. Zhang, ‘‘A holistic review on advanced bi-directional EV charging control algorithms," ACM SIGEnergy Energy Informatics Review, vol. 1, no. 1, pp. 78-88, November 2021.

  33. S. Bi, L. Huang, H. Wang, and Y. J. Zhang, “Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks,” IEEE Transactions on Wireless Communications, vol. 20, no. 11, pp. 7519-7537, November 2021. [Github] [ESI Highly Cited Paper (July 2024) ]

  34. Z. Lin, S. Bi, and Y. J. Zhang, “Optimizing AI service placement and resource allocation in mobile edge intelligence systems,” IEEE Transactions on Wireless Communications, vol. 20, no. 11, pp. 7257-7271, November 2021.

  35. J. Yan, S. Bi, L. Duan, and Y. J. Zhang, “Pricing-driven service caching and task offloading in mobile edge computing,” IEEE Transactions on Wireless Communications, vol. 20, no.7, pp. 4495 - 4512, July 2021.

  36. Y. Zheng#, S. Bi, Y. J. Zhang, X.-H. Lin, and H. Wang, “Joint beamforming and power control for throughput maximization in IRS-assisted MISO WPCNs,” IEEE Internet of Things Journal, vol. 8, no. 10, pp. 8399-8410, May 2021.

  37. X. Li#, S. Bi, and H. Wang, “Optimizing resource allocation for joint AI model training and task inference in edge intelligence systems,” IEEE Wireless Communications Letters, vol. 10, no. 3, pp. 532-536, March 2021.

  38. S. Wang, S. Bi, and Y. J. Zhang, “Reinforcement learning for real-time pricing and scheduling control in EV charging stations,” IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 849-859, February 2021. [ESI Highly Cited Paper (May 2021)]

  39. L. Huang, S. Bi, and Y. J. Zhang, “Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks,” IEEE Transactions on Mobile Computing, vol. 19, no. 11, pp. 2581-2593, November 2020. [Github] [ESI Highly Cited Paper, IEEE TMC No.1 Most Popular Paper (Dec. 2021) ]

  40. S. Wang, S. Bi, and Y. J. Zhang, “Locational detection of false data injection attack in smart grid: a multi-label classification approach,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8218-8227, September 2020.

  41. J. Yan, S. Bi, and Y. J. Zhang, “Offloading and resource allocation with general task graph in mobile edge computing: a deep reinforcement learning approach,” IEEE Transactions on Wireless Communications, vol. 19, no. 8, pp. 5404-5419, August 2020.

  42. Y. Zheng#, S. Bi, X.-H. Lin, and H. Wang, “Reusing wireless power transfer for backscatter-assisted relaying in WPCNs,” Computer Networks, Vol. 175, pp. 1-12, July 2020.

  43. S. Bi, L. Huang, and Y. J. Zhang, “Joint optimization of service caching placement and computation offloading in mobile edge computing systems,” IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 4947-4963, July 2020. [ESI Highly Cited Paper (May 2024)]

  44. Y. Zheng#, S. Bi, Y. J. Zhang, Z. Quan, and H. Wang, “Intelligent reflecting surface enhanced user cooperation in wireless powered communication networks,” IEEE Wireless Communications Letters, vol. 9, no. 6, pp. 901-905, June 2020.

  45. Y. Liu, S. Bi, Z. Shi, and L. Hanzo, “When machine learning meets big data: a wireless communication perspective,” IEEE Vehicular Technology Magazine, vol. 15, no.1, pp. 63-72, March 2020.

  46. J. Yan, S. Bi, Y. J. Zhang, and M. Tao, “Optimal task offloading and resource allocation in mobile-edge computing with inter-user task dependency,” IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 235-250, January 2020.

  47. L. Yuan#, S. Bi, X.-H. Lin, and H. Wang, “Optimizing throughput fairness of cluster-based cooperation in underlay cognitive WPCNs,” Computer Networks, vol. 166, pp. 1-10, January 2020.

  48. S. Bi, J. Lyu, Z. Ding, and R. Zhang, “Engineering radio map for wireless resource management,” IEEE Wireless Communications, vol. 26, no. 2 , pp. 133-141, April 2019.

  49. X. Tang, S. Bi, and Y. J. Zhang, “Distributed routing and charging scheduling optimization for internet of electric vehicles,” IEEE Internet of Things Journal, vol. 6, no. 1, pp. 136-148, February 2019.

  50. S. Wang, S. Bi, and Y. J. Zhang, “Demand response management for profit maximizing energy loads in real-time electricity market,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6387-6396, November 2018.

  51. S. Wang, S. Bi, Y. J. Zhang, and J. W. Huang, “Electrical vehicle charging station profit maximization: admission, pricing, and online scheduling,” IEEE Transactions on Sustainable Energy, vol. 9, no. 4, pp. 1722-1731, October 2018.

  52. Y. X. Zhang, S. Bi, and Y. J. Zhang, “Joint spectrum reservation and on-demand request for mobile virtual network operators,” IEEE Transactions on Communications, vol. 66, no.7, pp. 2966-2977, July 2018.

  53. S. Bi and Y. J. Zhang, “Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading,” IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 4177-4190, June 2018. [ESI Highly Cited Paper (Dec. 2021), 2021 IEEE ComSoc AP Outstanding Paper Award]

  54. Y. X. Zhang, S. Bi, and Y. J. Zhang, “User-centric joint transmission in virtual cell based ultra-dense networks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 4640-4644, May 2018.

  55. L. Huang, S. Bi, and L. Qian, “Adaptive scheduling in energy harvesting sensor networks for green cities,” IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1575-1584, April 2018.

  56. L. Yuan#, S. Bi, S. L. Zhang, X.-H. Lin, and H. Wang, “Multi-antenna enabled cluster-based cooperation in wireless powered communication networks,” IEEE Access, vol. 5, pp. 13941-13950, July 2017.

  57. M. Zhong#, S. Bi, and X.-H. Lin, “User cooperation for enhanced throughput fairness in wireless powered communication networks,” Wireless Networks, vol. 23, no. 4, pp. 1315-1330, April 2017. (PDF)

  58. S. Bi and Y. J. Zhang, “Graph-based cyber security analysis of state estimation in smart power grid”, IEEE Communications Magazine, vol. 55, no. 4, pp. 176-183, April 2017. (PDF)

  59. W. Tang, S. Bi, and Y. J. Zhang, “Online charging scheduling algorithms of electric vehicles in smart grid: an overview”, IEEE Communications Magazine, vol. 54, no. 12, pp. 76-83, December 2016.

  60. S. Bi and R. Zhang, “Distributed charging control in broadband wireless power transfer networks,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3380-3393, December 2016.

  61. S. Bi and R. Zhang, “Placement optimization of energy and information access points in wireless powered communication networks,” IEEE Transactions on Wireless Communications, vol. 15, no. 3, pp. 2351-2364, March 2016. [ESI Highly Cited Paper]

  62. S. Bi, Y. Zeng, and R. Zhang, “Wireless powered communication networks: an overview,” IEEE Wireless Communications, vol. 23, no. 2, pp. 10-18, April 2016. [ESI Highly Cited Paper (Dec. 2021)]

  63. L. Liu, S. Bi, and R. Zhang, “Joint power control and fronthaul rate allocation for throughput maximization in OFDMA-based cloud radio access network,” IEEE Transactions on Communications, vol. 63, no. 11, pp. 4097-4110, November 2015.

  64. S. Bi, R. Zhang, Z. Ding, and S. Cui, “Wireless communications in the era of big data,” IEEE Communications Magazine, vol. 53, no. 10, pp. 190-199, October 2015. (PDF) [ESI Highly Cited Paper]

  65. J. Xu, S. Bi, and R. Zhang, “Multiuser MIMO wireless energy transfer with coexisting opportunistic communication,” IEEE Wireless Communications Letters, vol. 4, no. 3, pp. 273-276, June 2015.

  66. S. Bi, C. K. Ho, and R. Zhang, “Wireless powered communication: opportunities and challenges,” IEEE Communications Magazine, vol.53, no. 4, pp. 117-125, April 2015. [ESI Highly Cited Paper (Dec. 2021)]

  67. S. Bi and Y. J. Zhang, “Using covert topological information for defense against malicious attacks on DC state estimation,” IEEE Journal on Selected Areas in Communications, vol. 32 no. 7, pp. 1-15, July 2014.

  68. W. Tang, S. Bi, and Y. J. Zhang, “Online coordinated charging decision algorithm for electric vehicles without future information,” IEEE Transactions on Smart Grid, vol.5, no. 6, pp. 2810-2824, May 2014.

  69. S. Bi and Y. J. Zhang, “Graphical methods for defense against false-data injection attacks on the power system state estimation,” IEEE Transactions on Smart Grid, vol. 5, no. 3, pp. 1216-1227, May 2014.

  70. S. Bi and Y. J. Zhang, “The cost of mitigating power law delay in random access networks,” IEEE Transactions on Wireless Communications, vol. 12, no. 9, pp. 4612-4626, September 2013.

  71. S. Bi and Y. J. Zhang, “Outage-optimal TDMA based scheduling in relay-assisted MIMO cellular network,” IEEE Transactions on Wireless Communications, vol. 11, no. 4, pp. 1488-1499, April 2012.

  72. S. Bi and X. Ren, “Maneuvering target doppler-bearing tracking with signal time delay using interacting multiple model algorithms,” Progress In Electromagnetics Research, vol. 87, pp. 15-41, October 2008.

Conference Papers:

  1. H. Hou#, S. Bi, X. Li#, and X.-H. Lin, ‘‘Joint semantic information gathering and broadcasting for multi-task edge processing," accepted by IEEE/CIC ICCC, Hangzhou, China, August 2024.

  2. X. Wang#, S. Bi, X. Li#, and X.-H. Lin, ‘‘Optimal OFDM sub-carriers power allocation under nonlinear power amplifier distortion," accepted by IEEE/CIC ICCC, Hangzhou, China, August 2024.

  3. M. Gong, S. Wang, and S. Bi, ‘‘Alternative multi-phase training with mask attack for digital semantic communications," accepted by IEEE/CIC ICCC, Hangzhou, China, August 2024.

  4. S. Bi, H.-G. Chen#, X. Li#, S. Wang, and X.-H. Lin, ‘‘Double-agent deep reinforcement learning for adaptive 360-degree video streaming in mobile edge computing networks," in Proc. IEEE INFOCOM Workshop on ICCN, Vancouver, Canada, May 2024.

  5. S. Bi, X. Chen#, L. Zheng, H. Hou, and X.-H. Lin, ‘‘RoGER: Few-shot learning based robust gesture recognition with multi-modal Wi-Fi CSI measurements," accepted by IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May 2024.

  6. M. Gong, S. Wang, and S. Bi, ‘‘A scalable multi-sevice semantic communication system for multi-task execution," in Proc. IEEE Globecom, Kuala Lumpur, Malaysia, December 2023.

  7. L. Chen#, S. Bi, X.-H. Lin, Z. Yang, Y. Wu, and Q. Ye, ‘‘Learning-aided multi-UAV online trajectory coordination and resource allocation for mobile WSNs," in Proc. IEEE INFOCOM Workshop on PerAI-6G, Orlando, FL, USA, June 2023.

  8. X. Wang#, S. Bi, X. Li, Z. Yang, X.-H. Lin, Z. Quan, and Y. J. Zhang, ‘‘Capacity region of two-user uplink NOMA with nonlinear power amplifier distortion," in Proc. IEEE ICC, Rome, Italy, May 2023.

  9. Y. Li, Y. Wu, S. Bi, L. Qian, T.-Q. S. Quek, C.-Z. Xu, and Z. Shi, ‘‘Two-tier multi-access partial computation offloading via NOMA: a hybrid deep learning approach for energy minimization," in Proc. Wireless and Optical Communications Conference (WOCC), Shenzhen, China, Aug. 2022. [Best Paper Award]

  10. H. Hou#, S. Bi, L. Zheng#, X.-H. Lin, and Z. Quan, ‘‘Sample-efficient cross-domain WiFi indoor crowd counting via few-shot learning," in Proc. Wireless and Optical Communications Conference (WOCC), Shenzhen, China, Aug. 2022.

  11. X.-H. Lin, S. Bi, N. Cheng, M. Dai, and H. Wang, ‘‘A fairness-tunable strategy for intelligent energy balancing in UAV-IoT systems," in Proc. IEEE VTC-Spring, Helsinki, Finland, June 2022. [Best Paper Award]

  12. X. Li#, S. Bi, Y. Zheng#, and H. Wang, ‘‘Energy-efficient online data sensing and processing optimization in wireless powered edge computing systems," in Proc. IEEE ICC, Seoul, South Korea, May 2022.

  13. Y. Ouyang#, S. Bi, S. L. Zhang, X.-H. Lin, and H. Wang, “A comparative study of magnetic-induction based cooperative communication for underwater data collection,” in Proc. ComComAp, Shenzhen, China, Nov. 2021.

  14. Z. Yang, S. Bi, and Y. J. Zhang, “Stable online offloading and trajectory control for UAV-enabled MEC with EH devices,” in Proc. IEEE Globecom, Madrid, Spain, Dec. 2021.

  15. X. Li#, S. Bi, and H. Wang, “Online cognitive data sensing and processing optimization in energy-harvesting edge computing systems,” in Proc. IEEE/CIC ICCC, Xiamen, China, July 2021. [Best Paper Award]

  16. Z. Yang, S. Bi, and Y. J. Zhang, “Dynamic trajectory and offloading control of UAV-enabled MEC under user mobility,” in Proc. IEEE ICC, Montreal, Canada, June 2021.

  17. S. Bi, L. Huang, H. Wang, and Y. J. Zhang, “Stable online computation offloading via Lyapunov-guided deep reinforcement learning,” in Proc. IEEE ICC, Montreal, Canada, June 2021.

  18. B. Lin#, X.-H. Lin, S. Zhang, H. Wang, and S. Bi, “Computation task scheduling and offloading optimization for collaborative mobile edge computing,” in Proc. IEEE International Conference on Parallel and Distributed Systems (ICPADS), Hong Kong, December 2020.

  19. Z. Lin, S. Bi, and Y. J. Zhang, “Optimizing AI service placement and computation offloading in mobile edge intelligence systems,” in Proc. IEEE Globecom, Taipei, Taiwan, December 2020.

  20. Y. Zheng#, S. Bi, Y. J. Zhang, and H. Wang, “Throughput optimization of intelligent reflecting surface assisted user cooperation in WPCNs,” in Proc. IEEE VTC Fall, Victoria, B.C., Canada, October 2020.

  21. H. Xing, O. Simeone, and S. Bi, “Decentralized federated learning via SGD over wireless D2D networks,” in Proc. IEEE SPAWC, Atlanta, GA, USA, May 2020.

  22. Y. Chen#, S. Bi, X. Li, X.-H. Lin, and H. Wang, “Computation rate maximization in wireless powered MEC with spread spectrum multiple access,” in Proc. IEEE ITOEC, Chongqing, China, June 2020.

  23. J. Yan, S. Bi, L. Huang, and Y. J. Zhang, “Deep reinforcement learning based offloading for mobile edge computing with general task graph,” in Proc. IEEE ICC, Dublin, Ireland, June 2020.

  24. J. Chen#, H. Xing, X.-H. Lin, and S. Bi, ’'Joint cache placement and bandwidth allocation for FDMA-based mobile edge computing systems," in Proc. IEEE ICC, Dublin, Ireland, June 2020.

  25. S. Xue#, S. Bi, and X.-H. Lin, “Energy minimization in UAV-aided wireless sensor networks with OFDMA,” WCSP, Xi'an, China, October 2019.

  26. B. He#, S. Bi, H. Xing, and X.-H. Lin, “Collaborative computation offloading in wireless powered mobile-edge computing systems,” in Proc. IEEE Globecom, Waikoloa, HI, USA, December 2019.

  27. X. Wen#, S. Bi, X.-H. Lin, L. Yuan*, and J. Wang, “Throughput maximization for ambient backscatter communication: a reinforcement learning approach,” in Proc. IEEE ITNEC, Chengdu, China, March 2019.

  28. S. Yang#, S. Bi, L. Yuan*, and X.-H. Lin, “Optimal operating mode selection of ambient backscatter communication systems,” in Proc. ICMSMA, Wuhan, China, January 2019.

  29. J. Yan, S. Bi, and Y. J. Zhang, “Optimal offloading and resource allocation in mobile-edge computing with inter-user task dependency,” IEEE GLOBECOM, Abu Dhabi, UAE, December 2018.

  30. W. Xu#, S. Bi, X.-H. Lin, and J. Wang, “Reusing wireless power transfer for backscatter-assisted cooperation in WPCN,” International Conference on Machine Learning and Intelligent Communications (MLICOM), Hangzhou, China, July 2018.

  31. Y. Zheng#, S. Bi, and X.-H. Lin, “Backscatter-assisted relaying in wireless powered communications network,” International Conference on Machine Learning and Intelligent Communications (MLICOM), Hangzhou, China, July 2018.

  32. S. Wang, S. Bi, and Y. J. Zhang, “A reinforcement learning approach for EV charging station dynamic pricing and scheduling control,” IEEE Power & Energy Society General Meeting, Portland, OR, USA, August 2018.

  33. S. Bi and Y. J. Zhang, “An ADMM based method for computation rate maximization in wireless powered mobile-edge computing networks,” IEEE ICC, Kansas City, MO, USA, May 2018.

  34. S. Wang, S. Bi, and Y. J. Zhang, “The impacts of energy customers demand response on real-time electricity market participants,” IEEE ICC, Kansas City, MO, USA, May 2018.

  35. Z. Zheng#, S. Bi, and X.-H. Lin, “Joint energy and data storage management for cost reduction in renewable cellular networks,” CNCT, Guangzhou, China, December 2017.

  36. S. Bi, Y. J. Zhang, and R. Zhang, “Distributed scheduling in wireless powered communication network: protocol design and performance analysis,” IEEE WiOpt, Paris, France, May 2017.

  37. W. Tang, S. Bi, Y. J. Zhang, and X. Yuan, “Joint routing and charging scheduling optimizations for smart-grid enabled electric vehicle networks,” IEEE VTC-Spring, Sydney, Australia, June 2017. [Invited Paper]

  38. L. Yuan, S. Bi*, M. Zhong#, and H. Wang, “Multi-antenna enabled cluster-based cooperation in wireless powered communication networks,” CNCT, Xiamen, China, December 2016.

  39. Y. X. Zhang, S. Bi, and Y. J. Zhang, “A two-stage spectrum leasing optimization framework for virtual mobile network operators,” IEEE ICCS 2016，Shenzhen, China, December 2016. [Invited Paper]

  40. L. Huang, S. Bi, and L. Qian, “Optimal threshold-based transmission scheduling policy for energy harvesting sensor nodes,” IEEE GLOBECOM, Washington D.C., December 2016.

  41. M. Zhong#, S. Bi, and X.-H. Lin, “User cooperation for enhanced throughput fairness in wireless powered communication networks,” IEEE International Conference on Telecommunications (ICT), Thessaloniki, Greece, May 2016.

  42. S. Bi and R. Zhang, “Node placement optimization in wireless powered communication networks,” IEEE GLOBECOM, San Diego, USA, December 2015.

  43. S. Bi and R. Zhang, “Wireless power charging control in multiuser broadband networks,” IEEE ICC, London, UK, June 2015.

  44. S. Bi, C. K. Ho, and R. Zhang, “Recent advances in joint wireless energy and information transfer,” IEEE Information Theory Workshop (ITW), Hobart, Australia, November 2014. [Invited Paper]

  45. S. Bi and Y. J. Zhang, “False data injection attack to control real-time price in electricity market,” IEEE GLOBECOM, Atlanta, USA, December 2013.

  46. S. Bi and Y. J. Zhang, “Mitigating false-data injection attacks on DC state estimation using covert topological information,” IEEE GLOBECOM, Atlanta, USA, December 2013.

  47. W. Tang, S. Bi, and Y. J. Zhang, “Online speeding optimal charging algorithm for electric vehicles without future information,” IEEE SmartGridComm, Vancouver, Canada, October 2013. [Best Paper Award]

  48. S. Bi, L. Qian, and Y. J. Zhang, “Monotonic optimization method for general utility maximization in random-access networks,” IEEE ICCC, Xi'an, China, August 2013. [Invited Paper]

  49. S. Bi and Y. J. Zhang, “The cost of mitigating power law delay in random access networks,” IEEE Communication Theory Workshop, Phuket, Thailand, June 2013.

  50. S. Bi, X. Yuan, and Y. J. Zhang, “DFT-based physical layer encryption for achieving perfect secrecy,” IEEE ICC, Budapest, Hungary, June 2013.

  51. S. Bi and Y. J. Zhang, “Mitigating power law delays: the use of polynomial backoff in IEEE 802.11 DCF,” IEEE ICC, Ottawa, Canada, June 2012.

  52. S. Bi and Y. J. Zhang, “Defending mechanisms against false-data injection attacks in the power system state estimation,” IEEE GLOBECOM, Houston, USA, December 2011.

  53. S. Bi and Y. J. Zhang, “TDMA achieves the same diversity gain as opportunistic scheduling in relay-assisted wireless networks,” IEEE GLOBECOM, Miami, USA, December 2010.